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ORCIDCoRR, September 2019
- Gonçalo M. Correia, Vlad Niculae, André F. T. Martins:
Adaptively Sparse Transformers. - Binjie Li, Tao Wang, Xiaoping Xie:
Numerical analysis of a semilinear fractional diffusion equation. - Javier S. Turek, Shailee Jain, Mihai Capota, Alexander G. Huth, Theodore L. Willke:
A single-layer RNN can approximate stacked and bidirectional RNNs, and topologies in between. - Sebastian Flennerhag, Andrei A. Rusu, Razvan Pascanu, Hujun Yin, Raia Hadsell:
Meta-Learning with Warped Gradient Descent. - Toby Jia-Jun Li, Marissa Radensky, Justin Jia, Kirielle Singarajah, Tom M. Mitchell, Brad A. Myers:
PUMICE: A Multi-Modal Agent that Learns Concepts and Conditionals from Natural Language and Demonstrations. - Shingo Kagami, Koichi Hashimoto:
Animated Stickies: Fast Video Projection Mapping onto a Markerless Plane through a Direct Closed-Loop Alignment. - Chunting Zhou, Xuezhe Ma, Junjie Hu, Graham Neubig:
Handling Syntactic Divergence in Low-resource Machine Translation. - Mario Wenzel, Stefan Brass:
Declarative Programming for Microcontrollers - Datalog on Arduino. - Chunmin Mi, Runjie Xu, Ching-Torng Lin, Run Yu Meng:
Recognition of Smartphone User Activity: From A Cyclical Perspective. - Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal:
GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning. - Bowei Wu, Hai Zhu, Alex H. Barnett, Shravan K. Veerapaneni:
Solution of Stokes flow in complex nonsmooth 2D geometries via a linear-scaling high-order adaptive integral equation scheme. - Amey Agrawal, Rohit Karlupia:
Learning Digital Circuits: A Journey Through Weight Invariant Self-Pruning Neural Networks. - Dan Boneh, Andrew J. Grotto, Patrick D. McDaniel, Nicolas Papernot:
How Relevant is the Turing Test in the Age of Sophisbots? - Shaunak Mishra, Jelena Gligorijevic, Narayan Bhamidipati:
Learning from Multi-User Activity Trails for B2B Ad Targeting. - Govind Saraswat, Vivek Khatana, Sourav Patel, Murti V. Salapaka:
Distributed finite-time termination for consensus algorithm in switching topologies. - MohammadReza Ebrahimi, Farshad Lahouti, Victoria Kostina:
Two-layer Coded Channel Access with Collision Resolution: Design and Analysis. - Ricardo Augusto Borsoi:
Robust Online Video Super-Resolution Using an Efficient Alternating Projections Scheme. - Lun Wang, Joseph P. Near, Neel Somani, Peng Gao, Andrew Low, David Dao, Dawn Song:
Data Capsule: A New Paradigm for Automatic Compliance with Data Privacy Regulations. - Thomas Lew, Tomoki Emmei, David D. Fan, Tara Bartlett, Angel Santamaria-Navarro, Rohan Thakker, Ali-akbar Agha-mohammadi:
Contact Inertial Odometry: Collisions are your Friend. - Avinash Madasu, Vijjini Anvesh Rao:
Sequential Learning of Convolutional Features for Effective Text Classification. - Ashvin Agrawal, Rony Chatterjee, Carlo Curino, Avrilia Floratou, Neha Godwal, Matteo Interlandi, Alekh Jindal, Konstantinos Karanasos, Subru Krishnan, Brian Kroth, Jyoti Leeka, Kwanghyun Park, Hiren Patel, Olga Poppe, Fotis Psallidas, Raghu Ramakrishnan, Abhishek Roy, Karla Saur, Rathijit Sen, Markus Weimer, Travis Wright, Yiwen Zhu:
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML. - Steven Y. Feng, Aaron W. Li, Jesse Hoey:
Keep Calm and Switch On! Preserving Sentiment and Fluency in Semantic Text Exchange. - Serina Chang, Kathleen R. McKeown:
Automatically Inferring Gender Associations from Language. - Sanja Singer:
The antitriangular factorization of skew-symmetric matrices. - Qinshi Wang, Qinxiang Cao:
VST-A: A Foundationally Sound Annotation Verifier. - Dongyeop Kang, Varun Gangal, Eduard H. Hovy:
(Male, Bachelor) and (Female, Ph.D) have different connotations: Parallelly Annotated Stylistic Language Dataset with Multiple Personas. - Cónall Kelly, Gabriel J. Lord, Fandi Sun:
Strong convergence of an adaptive time-stepping Milstein method for SDEs with one-sided Lipschitz drift. - Henry Tsai, Jason Riesa, Melvin Johnson, Naveen Arivazhagan, Xin Li, Amelia Archer:
Small and Practical BERT Models for Sequence Labeling. - Vedran Novakovic, Sanja Singer:
An implicit Hari-Zimmermann algorithm for the generalized SVD on the GPUs. - Alexander Hanbo Li, Abhinav Sethy:
Knowledge Enhanced Attention for Robust Natural Language Inference. - Shuaike Dong, Zhou Li, Di Tang, Jiongyi Chen, Menghan Sun, Kehuan Zhang:
Your Smart Home Can't Keep a Secret: Towards Automated Fingerprinting of IoT Traffic with Neural Networks. - Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian J. McAuley:
Generating Personalized Recipes from Historical User Preferences. - Prashanth Gurunath Shivakumar, Shao-Yen Tseng, Panayiotis G. Georgiou, Shrikanth S. Narayanan:
Behavior Gated Language Models. - Daniel Andor, Luheng He, Kenton Lee, Emily Pitler:
Giving BERT a Calculator: Finding Operations and Arguments with Reading Comprehension. - Marten van Schijndel, Aaron Mueller, Tal Linzen:
Quantity doesn't buy quality syntax with neural language models. - Kaiwei Zeng:
Energy Clustering for Unsupervised Person Re-identification. - Wenju Xu, Guanghui Wang, Alan Sullivan, Ziming Zhang:
Towards Learning Affine-Invariant Representations via Data-Efficient CNNs. - Tairan Chen, Zirui Li, Yiting He, Zewen Xu, Zhe Yan, Huiqian Li:
From perception to control: an autonomous driving system for a formula student driverless car. - Haoran Chen, Ke Lin, Alexander Maye, Jianming Li, Xiaolin Hu:
A Semantics-Assisted Video Captioning Model Trained with Scheduled Sampling. - Shen Yan, Biyi Fang, Faen Zhang, Yu Zheng, Xiao Zeng, Hui Xu, Mi Zhang:
HM-NAS: Efficient Neural Architecture Search via Hierarchical Masking. - Hao Wang, Bing Liu, Chaozhuo Li, Yan Yang, Tianrui Li:
Learning with Noisy Labels for Sentence-level Sentiment Classification. - Cem Sazara, Mecit Cetin, Khan M. Iftekharuddin:
Detecting floodwater on roadways from image data with handcrafted features and deep transfer learning. - Tao Li, Vivek Gupta, Maitrey Mehta, Vivek Srikumar:
A Logic-Driven Framework for Consistency of Neural Models. - Zahra Namazian, Emad Roghanian:
A decision problem for bank branch site selection: A GIS Mapping perspective with Maximal Covering Location Problem: A case study of Isfahan, Iran. - Prathyusha Jwalapuram, Shafiq R. Joty, Irina P. Temnikova, Preslav Nakov:
Evaluating Pronominal Anaphora in Machine Translation: An Evaluation Measure and a Test Suite. - Ke Li, Gang Wan, Gong Cheng, Liqiu Meng, Junwei Han:
Object Detection in Optical Remote Sensing Images: A Survey and A New Benchmark. - Kaihong Wang, Mona Jalal, Sankara Jefferson, Yi Zheng, Elaine O. Nsoesie, Margrit Betke:
Scraping Social Media Photos Posted in Kenya and Elsewhere to Detect and Analyze Food Types. - Jie Zhu, Junhui Li, Muhua Zhu, Longhua Qian, Min Zhang, Guodong Zhou:
Modeling Graph Structure in Transformer for Better AMR-to-Text Generation. - Mingda Chen, Zewei Chu, Yang Chen, Karl Stratos, Kevin Gimpel:
EntEval: A Holistic Evaluation Benchmark for Entity Representations. - Wenjie Zhou, Minghua Zhang, Yunfang Wu:
Question-type Driven Question Generation. - Siyao Li, Deren Lei, Pengda Qin, William Yang Wang:
Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization. - Mingda Chen, Zewei Chu, Kevin Gimpel:
Evaluation Benchmarks and Learning Criteriafor Discourse-Aware Sentence Representations. - Phillip Keung, Yichao Lu, Vikas Bhardwaj:
Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER. - Lei He:
EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks. - Junnan Zhu, Qian Wang, Yining Wang, Yu Zhou, Jiajun Zhang, Shaonan Wang, Chengqing Zong:
NCLS: Neural Cross-Lingual Summarization. - Shuo Wang, Yang Liu, Chao Wang, Huanbo Luan, Maosong Sun:
Improving Back-Translation with Uncertainty-based Confidence Estimation. - Soumya Sharma, Bishal Santra, Abhik Jana, T. Y. S. S. Santosh, Niloy Ganguly, Pawan Goyal:
Incorporating Domain Knowledge into Medical NLI using Knowledge Graphs. - Wenpeng Yin, Jamaal Hay, Dan Roth:
Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach. - Ying Luo, Hai Zhao, Junlang Zhan:
Named Entity Recognition Only from Word Embeddings. - Kemal Oksuz, Baris Can Cam, Sinan Kalkan, Emre Akbas:
Imbalance Problems in Object Detection: A Review. - Ying Luo, Hai Zhao, Zhuosheng Zhang, Bingjie Tang:
Open Named Entity Modeling from Embedding Distribution. - Brian Axelrod, Yang P. Liu, Aaron Sidford:
Near-optimal Approximate Discrete and Continuous Submodular Function Minimization. - Yanyan Zou, Wei Lu:
Joint Detection and Location of English Puns. - Yanyan Zou, Wei Lu:
Quantity Tagger: A Latent-Variable Sequence Labeling Approach to Solving Addition-Subtraction Word Problems. - Kazumune Hashimoto, Yuichi Yoshimura, Toshimitsu Ushio:
Learning self-triggered controllers with Gaussian processes. - Henghui Ding, Xudong Jiang, Ai Qun Liu, Nadia Magnenat-Thalmann, Gang Wang:
Boundary-Aware Feature Propagation for Scene Segmentation. - Shuo Ren, Yu Wu, Shujie Liu, Ming Zhou, Shuai Ma:
Explicit Cross-lingual Pre-training for Unsupervised Machine Translation. - Aojun Zhou, Yukun Ma, Yudian Li, Xiaohan Zhang, Ping Luo:
Towards Improving Generalization of Deep Networks via Consistent Normalization. - M. Tarik Altuncu, Eloise Sorin, Joshua D. Symons, Erik Mayer, Sophia N. Yaliraki, Francesca Toni, Mauricio Barahona
:
Extracting information from free text through unsupervised graph-based clustering: an application to patient incident records. - Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin:
Deep Ordinal Regression for Pledge Specificity Prediction. - Shuhao Gu, Yang Feng:
Improving Multi-Head Attention with Capsule Networks. - Hao Chen, Weiwei Wan, Kensuke Harada:
Combined Task and Motion Planning for a Dual-arm Robot to Use a Suction Cup Tool. - Francesca Bianco, Dimitri Ognibene:
Functional advantages of an adaptive Theory of Mind for robotics: a review of current architectures. - Francesca Bianco, Dimitri Ognibene:
Transferring Adaptive Theory of Mind to social robots: insights from developmental psychology to robotics. - Lionel Nkenyereye, Lewis Nkenyereye, S. M. Riazul Islam, Yoon-Ho Choi, Muhammad Bilal, Jong-Wook Jang:
Software-Defined Network-Based Vehicular Networks: A Position Paper on Their Modeling and Implementation. - Junqiu Wei, Xiaozhe Ren, Xiaoguang Li, Wenyong Huang, Yi Liao, Yasheng Wang, Jiashu Lin, Xin Jiang, Xiao Chen, Qun Liu:
NEZHA: Neural Contextualized Representation for Chinese Language Understanding. - Yunqiang Li, Wenjie Pei, Yufei Zha, Jan van Gemert:
Push for Quantization: Deep Fisher Hashing. - Yi Ting Yeh, Yun-Nung Chen:
QAInfomax: Learning Robust Question Answering System by Mutual Information Maximization. - Francesco Giannini, Marco Maggini:
Conditions for Unnecessary Logical Constraints in Kernel Machines. - Vu-Linh Nguyen, Sébastien Destercke, Eyke Hüllermeier:
Epistemic Uncertainty Sampling. - Patrizio Angelini, Michael A. Bekos, Franz J. Brandenburg, Giordano Da Lozzo, Giuseppe Di Battista, Walter Didimo, Michael Hoffmann, Giuseppe Liotta, Fabrizio Montecchiani, Ignaz Rutter, Csaba D. Tóth:
Simple k-Planar Graphs are Simple (k+1)-Quasiplanar. - Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou:
Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs. - Huan Qi, Sally L. Collins, J. Alison Noble:
UPI-Net: Semantic Contour Detection in Placental Ultrasound. - Cong Fu, Tong Chen, Meng Qu, Woojeong Jin, Xiang Ren:
Collaborative Policy Learning for Open Knowledge Graph Reasoning. - Aretha L. Teckentrup:
Convergence of Gaussian Process Regression with Estimated Hyper-parameters and Applications in Bayesian Inverse Problems. - Shubhankar Mohapatra, Moumita Sarkar, Anjali Mohapatra, Bhawani Sankar Biswal:
Triclustering of Gene Expression Microarray Data Using Coarse-Grained Parallel Genetic Algorithm. - Mingfei Gao, Larry S. Davis, Richard Socher, Caiming Xiong:
WSLLN: Weakly Supervised Natural Language Localization Networks. - Orion Weller, Kevin D. Seppi:
Humor Detection: A Transformer Gets the Last Laugh. - Hiroyuki Shindo, Yuji Matsumoto:
Gated Graph Recursive Neural Networks for Molecular Property Prediction. - J. J. Garcia-Luna-Aceves, Anujan Varma:
SCALABLE INTERNETWORKING: Final Technical Report. - Sergey Avvakumov, Gabriel Nivasch:
Homotopic curve shortening and the affine curve-shortening flow. - Mauro Conti, Ankit Gangwal, Gianluca Lain, Samuele Giuliano Piazzetta:
Detecting Covert Cryptomining using HPC. - Maria Luiza Mondelli, A. Townsend Peterson, Luiz M. R. Gadelha Jr.:
Exploring Reproducibility and FAIR Principles in Data Science Using Ecological Niche Modeling as a Case Study. - Robert Holland, Uday Patel, Phillip Lung, Elisa Chotzoglou, Bernhard Kainz:
Automatic Detection of Bowel Disease with Residual Networks. - Lifu Huang, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi:
Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning. - Zhichao Yang, Pengshan Cai, Yansong Feng, Fei Li, Weijiang Feng, Elena Suet-Ying Chiu, Hong Yu:
Generating Classical Chinese Poems from Vernacular Chinese. - Xihui Chen, Sjouke Mauw, Yunior Ramírez-Cruz:
Publishing Community-Preserving Attributed Social Graphs with a Differential Privacy Guarantee. - Rob van Glabbeek:
Justness: A Completeness Criterion for Capturing Liveness Properties. - Murari Mandal, Manal Shah, Prashant Meena, Santosh Kumar Vipparthi:
SSSDET: Simple Short and Shallow Network for Resource Efficient Vehicle Detection in Aerial Scenes. - Bryan (Ning) Xia, Yuan Gong, Yizhe Zhang, Christian Poellabauer:
Second-order Non-local Attention Networks for Person Re-identification. - Kien Nguyen, Gabriel Ghinita, Muhammad Naveed, Cyrus Shahabi:
A Privacy-Preserving, Accountable and Spam-Resilient Geo-Marketplace. - Sahar Abdelnabi, Katharina Krombholz, Mario Fritz:
WhiteNet: Phishing Website Detection by Visual Whitelists. - Jiacheng Liu, Julia Hockenmaier:
Phrase Grounding by Soft-Label Chain Conditional Random Field. - Akshay Gadi Patil, Omri Ben-Eliezer, Or Perel, Hadar Averbuch-Elor:
READ: Recursive Autoencoders for Document Layout Generation. - Mostafa Abdou, Artur Kulmizev, Felix Hill, Daniel M. Low, Anders Søgaard:
Higher-order Comparisons of Sentence Encoder Representations. - Kai Jiang, Wei Si, Chenglong Bao:
An efficient method for computing stationary states of phase field crystal models. - Shexia He, Zuchao Li, Hai Zhao:
Syntax-aware Multilingual Semantic Role Labeling. - Prasanna Balaprakash, Romain Egele, Misha Salim, Stefan M. Wild, Venkatram Vishwanath, Fangfang Xia, Tom Brettin, Rick Stevens:
Scalable Reinforcement-Learning-Based Neural Architecture Search for Cancer Deep Learning Research. - Weiqiang Li, Jiatong Mu, Guizhong Liu:
Multiple Object Tracking with Motion and Appearance Cues. - Han Wu, Xueyuan Yang, Yong Yang, Guizhong Liu:
Flow Guided Short-term Trackers with Cascade Detection for Long-term Tracking. - Junyi Pan, Xiaoguang Han, Weikai Chen, Jiapeng Tang, Kui Jia:
Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks. - Noah Golowich, Madhu Sudan:
Round Complexity of Common Randomness Generation: The Amortized Setting. - Yunlong Liang, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou:
A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis. - Luke de Oliveira, Alfredo Láinez Rodrigo:
Repurposing Decoder-Transformer Language Models for Abstractive Summarization. - Shilin He, Zhaopeng Tu, Xing Wang, Longyue Wang, Michael R. Lyu, Shuming Shi:
Towards Understanding Neural Machine Translation with Word Importance. - Wanchun Liu, Xin Zang:
Over-the-Air Computation Systems: Optimization, Analysis and Scaling Laws. - Hangfeng He, Qiang Ning, Dan Roth:
Incidental Supervision from Question-Answering Signals. - Bangti Jin, Zhi Zhou:
Numerical Estimation of a Diffusion Coefficient in Subdiffusion. - Florian Kunneman, Mattijs S. Lambooij, Albert Wong, Antal van den Bosch, Liesbeth Mollema:
Monitoring stance towards vaccination in Twitter messages. - Francesco Seccamonte, Juraj Kabzan, Emilio Frazzoli:
On Maximizing Lateral Clearance of an Autonomous Vehicle in Urban Environments. - EunJeong Hwang, Yong-Hyuk Kim:
Interdependency between the Stock Market and Financial News. - Han Cheol Moon, Tasnim Mohiuddin, Shafiq R. Joty, Xu Chi:
A Unified Neural Coherence Model. - Alessandro Betti, Marco Gori, Stefano Melacci:
Learning Visual Features Under Motion Invariance. - Leonardo F. R. Ribeiro, Claire Gardent, Iryna Gurevych:
Enhancing AMR-to-Text Generation with Dual Graph Representations. - Vidhyasaharan Sethu, Emily Mower Provost, Julien Epps, Carlos Busso, Nicholas Cummins, Shrikanth S. Narayanan:
The Ambiguous World of Emotion Representation. - Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu:
Cross-Lingual Machine Reading Comprehension. - Longyue Wang, Zhaopeng Tu, Xing Wang, Shuming Shi:
One Model to Learn Both: Zero Pronoun Prediction and Translation. - Janusz Dybizbanski:
Signified chromatic number of grids is at most 9. - Zhiwei Wang, Xiaoqin Feng, Jiliang Tang, Gale Yan Huang, Zitao Liu:
Deep Knowledge Tracing with Side Information. - Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi:
Self-Attention with Structural Position Representations. - Gloria Hyun-Jung Kwak, Pan Hui:
DeepHealth: Deep Learning for Health Informatics. - Fuyu Lv, Taiwei Jin, Changlong Yu, Fei Sun, Quan Lin, Keping Yang, Wilfred Ng:
SDM: Sequential Deep Matching Model for Online Large-scale Recommender System. - Philip May:
Improved Image Augmentation for Convolutional Neural Networks by Copyout and CopyPairing. - Tae Ha Park, Sumant Sharma, Simone D'Amico:
Towards Robust Learning-Based Pose Estimation of Noncooperative Spacecraft. - Matan Orbach, Yonatan Bilu, Ariel Gera, Yoav Kantor, Lena Dankin, Tamar Lavee, Lili Kotlerman, Shachar Mirkin, Michal Jacovi, Ranit Aharonov, Noam Slonim:
A Dataset of General-Purpose Rebuttal. - Julia Y. Dubenskaya, Stanislav Polyakov:
Improving the Effective Utilization of Supercomputer Resources by Adding Low-Priority Containerized Jobs. - Wade Genders, Saiedeh Navabzadeh Razavi:
An Open-Source Framework for Adaptive Traffic Signal Control. - Malihe Aliasgari, Osvaldo Simeone, Jörg Kliewer:
Private and Secure Distributed Matrix Multiplication with Flexible Communication Load. - Guy Katz, Assaf Marron, Aviran Sadon, Gera Weiss:
On-the-Fly Construction of Composite Events in Scenario-Based Modeling using Constraint Solvers. - Marco Del Tredici, Diego Marcheggiani, Sabine Schulte im Walde, Raquel Fernández:
You Shall Know a User by the Company It Keeps: Dynamic Representations for Social Media Users in NLP. - Hong-Ning Dai, Hao Wang, Guangquan Xu, Jiafu Wan, Muhammad Imran:
Big Data Analytics for Manufacturing Internet of Things: Opportunities, Challenges and Enabling Technologies. - Giannis Karamanolakis, Daniel Hsu, Luis Gravano:
Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-Training. - Xintong Yu, Hongming Zhang, Yangqiu Song, Yan Song, Changshui Zhang:
What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues. - Will Ma:
Assortment Auctions: A Myersonian Characterization for Markov Chain based Choice Models. - Ikuya Yamada, Hiroyuki Shindo:
Pre-training of Deep Contextualized Embeddings of Words and Entities for Named Entity Disambiguation. - Maxwell Shinn:
Refinement type contracts for verification of scientific investigative software. - Qiang Ning, Sanjay Subramanian, Dan Roth:
An Improved Neural Baseline for Temporal Relation Extraction. - Matan Ben Noach, Yoav Goldberg:
Transfer Learning Between Related Tasks Using Expected Label Proportions. - Agathoklis Kritsimallis, Ioannis Refanidis:
ExpTime Tableaux for Type PDL. - Aditya Siddhant, Melvin Johnson, Henry Tsai, Naveen Arivazhagan, Jason Riesa, Ankur Bapna, Orhan Firat, Karthik Raman:
Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation. - Abir De, Adish Singla, Utkarsh Upadhyay, Manuel Gomez-Rodriguez:
Can A User Anticipate What Her Followers Want? - Alexander Dockhorn, Simon M. Lucas, Vanessa Volz, Ivan Bravi, Raluca D. Gaina, Diego Perez Liebana:
Learning Local Forward Models on Unforgiving Games. - Elias Stengel-Eskin, Tzu-Ray Su, Matt Post, Benjamin Van Durme:
A Discriminative Neural Model for Cross-Lingual Word Alignment. - Mrinal Verghese, Florian Richter, Aaron Gunn, Phil Weissbrod, Michael C. Yip:
Model-free Visual Control for Continuum Robot Manipulators via Orientation Adaptation. - Sachin Kumar, Shuly Wintner, Noah A. Smith, Yulia Tsvetkov:
Topics to Avoid: Demoting Latent Confounds in Text Classification. - Kathleen Gregory, Paul Groth, Andrea Scharnhorst, Sally Wyatt:
Lost or found? Discovering data needed for research. - Juyong Zhang, Yue Peng, Wenqing Ouyang, Bailin Deng:
Accelerating ADMM for Efficient Simulation and Optimization. - Guha Balakrishnan, Adrian V. Dalca, Amy Zhao, John V. Guttag, Frédo Durand, William T. Freeman:
Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions. - Xihan Chen, Yunlong Cai, Qingjiang Shi, Min-Jian Zhao, Benoît Champagne, Lajos Hanzo:
Efficient Resource Allocation for Relay-Assisted Computation Offloading in Mobile Edge Computing. - Mario Amrehn, Stefan Steidl, Reinier Kortekaas, Maddalena Strumia, Markus Weingarten, Markus Kowarschik, Andreas K. Maier:
A Semi-Automated Usability Evaluation Framework for Interactive Image Segmentation Systems. - Gerald Schweiger, Henrik Nilsson, Josef-Peter Schoeggl, Wolfgang Birk, Alfred Posch:
Modeling and simulation of large-scale Systems: a systematic comparison of modeling paradigms. - Omar Lakkis, Amireh Mousavi:
A least-squares Galerkin approach to gradient and Hessian recovery for nondivergence-form elliptic equations. - Kimia Zamiri Azar, Farnoud Farahmand, Hadi Mardani Kamali, Shervin Roshanisefat, Houman Homayoun, William Diehl, Kris Gaj, Avesta Sasan:
COMA: Communication and Obfuscation Management Architecture. - Shun Kiyono, Jun Suzuki, Masato Mita, Tomoya Mizumoto, Kentaro Inui:
An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction. - Kawin Ethayarajh:
Rotate King to get Queen: Word Relationships as Orthogonal Transformations in Embedding Space. - Joshua Feldman, Joe Davison, Alexander M. Rush:
Commonsense Knowledge Mining from Pretrained Models. - Nathan Dahlin, Rahul Jain:
A Two-Stage Market Mechanism for Electricity with Renewable Generation. - Kawin Ethayarajh:
How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings. - Zhitang Chen, Shengyu Zhu, Yue Liu, Tim Tse:
Causal Discovery by Kernel Intrinsic Invariance Measure. - Yang Liu:
Beyond The Wall Street Journal: Anchoring and Comparing Discourse Signals across Genres. - Mojtaba Nayyeri, Chengjin Xu, Yadollah Yaghoobzadeh, Hamed Shariat Yazdi, Jens Lehmann:
On the Knowledge Graph Completion Using Translation Based Embedding: The Loss Is as Important as the Score. - Sam Buss, Neil Thapen:
DRAT and Propagation Redundancy Proofs Without New Variables. - Siyao Peng, Amir Zeldes:
All Roads Lead to UD: Converting Stanford and Penn Parses to English Universal Dependencies with Multilayer Annotations. - Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Dan Zeng, Shuicheng Yan, Meng Wang:
Flexible Auto-weighted Local-coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering. - Junqiang Cheng, Hui Gao, Wenjun Xu, Zhisong Bie, Yueming Lu:
Low-Complexity Linear Equalizers for OTFS Exploiting Two-Dimensional Fast Fourier Transform. - Yiling Jia, Nipun Batra, Hongning Wang, Kamin Whitehouse:
Active Collaborative Sensing for Energy Breakdown. - Xusheng Luo, Yiannis Kantaros, Michael M. Zavlanos:
An Abstraction-Free Method for Multi-Robot Temporal Logic Optimal Control Synthesis. - Hayahide Yamagishi, Mamoru Komachi:
Improving Context-aware Neural Machine Translation with Target-side Context. - Yuanyou Xu, Kaiwei Wang, Kailun Yang, Dongming Sun, Jia Fu:
Semantic Segmentation of Panoramic Images Using a Synthetic Dataset. - Zhe Bai, N. Benjamin Erichson, Muralikrishnan Gopalakrishnan Meena, Kunihiko Taira, Steven L. Brunton:
Randomized methods to characterize large-scale vortical flow network. - (Withdrawn) Design, fabrication and 3-DOF control of legless capsule robot.
- Diego Mollá, Christopher Jones:
Classification Betters Regression in Query-based Multi-document Summarisation Techniques for Question Answering: Macquarie University at BioASQ7b. - Aria Rezaei, Jie Gao:
On Privacy of Socially Contagious Attributes. - Tomohiko Hironaka, Michael B. Giles, Takashi Goda, Howard Thom:
Multilevel Monte Carlo estimation of the expected value of sample information. - Yusuf Fatihu Hamza, Hongwei Lin, Zihao Li:
Implicit Progressive-Iterative Approximation for Curve and Surface Reconstruction. - Elliott Ginder, Ayumu Katayama:
On the inclusion of damping terms in the hyperbolic MBO algorithm. - Seokin Hong, Bülent Abali, Alper Buyuktosunoglu, Michael B. Healy, Prashant J. Nair:
Touché: Towards Ideal and Efficient Cache Compression By Mitigating Tag Area Overheads. - Yoshifumi Seki, Mitsuo Yoshida:
Analysis of Bias in Gathering Information Between User Attributes in News Application. - Yiheng Huang, Liqiang He, Lei Han, Guangsen Wang, Dan Su:
Phrase-Level Class based Language Model for Mandarin Smart Speaker Query Recognition. - Ye Yu, Niraj K. Jha:
SPRING: A Sparsity-Aware Reduced-Precision Monolithic 3D CNN Accelerator Architecture for Training and Inference. - Shuiguang Deng, Hailiang Zhao, Jianwei Yin, Schahram Dustdar, Albert Y. Zomaya:
Edge Intelligence: the Confluence of Edge Computing and Artificial Intelligence. - Junya Ono, Masao Utiyama, Eiichiro Sumita:
Hybrid Data-Model Parallel Training for Sequence-to-Sequence Recurrent Neural Network Machine Translation. - Zhengxin Yang, Jinchao Zhang, Fandong Meng, Shuhao Gu, Yang Feng, Jie Zhou:
Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation. - Johannes Jendersie:
Next Event Backtracking. - Zechang Li, Yuxuan Lai, Yuxi Xie, Yansong Feng, Dongyan Zhao:
A Sketch-Based System for Semantic Parsing. - Jianbo Cui, Jialin Hong, Lihai Ji, Liying Sun:
Strong convergence of a full discretization for stochastic wave equation with polynomial nonlinearity and addditive noise. - Stratos Xenouleas, Prodromos Malakasiotis, Marianna Apidianaki, Ion Androutsopoulos:
SumQE: a BERT-based Summary Quality Estimation Model. - Yuzhe Li, Dawei Shi, Tongwen Chen:
Secure Analysis of Dynamic Networks under Pinning Attacks against Synchronization. - Mircea Marin, Adrian Craciun:
Proceedings Third Symposium on Working Formal Methods, FROM 2019, Timişoara, Romania, 3-5 September 2019. EPTCS 303, 2019 [contents] - Jaehoon Choi, Taekyung Kim, Changick Kim:
Self-Ensembling with GAN-based Data Augmentation for Domain Adaptation in Semantic Segmentation. - Hansika Hewamalage, Christoph Bergmeir, Kasun Bandara:
Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions. - Dmitry Bankov, Evgeny M. Khorov, Andrey I. Lyakhov, Ekaterina A. Stepanova:
IEEE 802.11ba - Extremely Low Power Wi-Fi for Massive Internet of Things: Challenges, Open Issues, Performance Evaluation. - George-Sebastian Pirtoaca, Traian Rebedea, Stefan Ruseti:
Answering questions by learning to rank - Learning to rank by answering questions. - Seunghyeon Kim, Jaehoon Choi, Taekyung Kim, Changick Kim:
Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection. - Gyuwan Kim:
Subword Language Model for Query Auto-Completion. - Evgeny Avdotin, Dmitry Bankov, Evgeny M. Khorov, Andrey I. Lyakhov:
OFDMA Resource Allocation for Real-Time Applications in IEEE 802.11ax Networks. - Benjamin Hilprecht, Andreas Schmidt, Moritz Kulessa, Alejandro Molina, Kristian Kersting, Carsten Binnig:
DeepDB: Learn from Data, not from Queries! - Sebastian Sippl, Michael Sedlmair, Manuela Waldner:
Collecting and Structuring Information in the Information Collage. - Jiaying Zhang, Zhixing Zhang, Huanhuan Zhang, Zhiyuan Ma, Yangming Zhou, Ping He:
Enriching Medcial Terminology Knowledge Bases via Pre-trained Language Model and Graph Convolutional Network. - Sarah Alice Gaggl, Thomas Linsbichler, Marco Maratea, Stefan Woltran:
Design and Results of the Second International Competition on Computational Models of Argumentation. - Biqian Feng, Yongpeng Wu, Mengfan Zheng:
Secure Transmission Strategy for Intelligent Reflecting Surface Enhanced Wireless System. - Sahar Idrees, Xiangyun Zhou, Salman Durrani, Dusit Niyato:
Design of Ambient Backscatter Training for Retrodirective Wireless Power Transfer. - Yu Liu, Guanglu Song, Manyuan Zhang, Jihao Liu, Yucong Zhou, Junjie Yan:
Towards Flops-constrained Face Recognition. - Yotam Dikstein, Irit Dinur:
Agreement testing theorems on layered set systems. - (Withdrawn) Relationship-Aware Spatial Perception Fusion for Realistic Scene Layout Generation.
- Panuchart Bunyakiati, Usa Sammapun:
Open-Source Projects and their Collaborative Development Workflows. - Guanhua Wang, Sudipta Chattopadhyay, Arnab Kumar Biswas, Tulika Mitra, Abhik Roychoudhury:
KLEESPECTRE: Detecting Information Leakage through Speculative Cache Attacks via Symbolic Execution. - Ana Foles, Luis Fialho, Manuel Collares-Pereira:
Economic Evaluation of the Portuguese PV and Energy Storage Residential Applications. - Paul Houston, Sarah Roggendorf, Kristoffer G. van der Zee:
Gibbs Phenomena for Lq-Best Approximation in Finite Element Spaces - Some Examples. - Prashant Gupta, Aashi Jindal, Jayadeva, Debarka Sengupta:
Guided Random Forest and its application to data approximation. - James Clift, Dmitry Doryn, Daniel Murfet, James Wallbridge:
Logic and the 2-Simplicial Transformer. - Linfeng Li, Peng Wang, Yao Wang, Jinpeng Jiang, Buzhou Tang, Jun Yan, Shenghui Wang, Yuting Liu:
PrTransH: Embedding Probabilistic Medical Knowledge from Real World EMR Data. - David Haldimann, Hermann Blum, Roland Siegwart, Cesar Cadena:
This is not what I imagined: Error Detection for Semantic Segmentation through Visual Dissimilarity. - Diego Monti, Giuseppe Rizzo, Maurizio Morisio:
All You Need is Ratings: A Clustering Approach to Synthetic Rating Datasets Generation. - Martin Halla:
Electromagnetic Stekloff eigenvalues: approximation analysis. - Sebastian R. Bader, Maria Maleshkova:
The Semantic Asset Administration Shell. - Avelino Javer, Jens Rittscher:
Semantic filtering through deep source separation on microscopy images. - Sreyasi Nag Chowdhury, Simon Razniewski, Gerhard Weikum:
Story-oriented Image Selection and Placement. - Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Sébastien Riou, Marc Sebban:
An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data. - Jun Saito, Yugo Murawaki, Sadao Kurohashi:
Minimally Supervised Learning of Affective Events Using Discourse Relations. - Federica Paganelli, Georgios Mylonas, Giovanni Cuffaro, Ilaria Nesi:
Experiences from Using Gamification and IoT-based Educational Tools in High Schools towards Energy Savings. - Zili Liu, Tu Zheng, Guodong Xu, Zheng Yang, Haifeng Liu, Deng Cai:
Training-Time-Friendly Network for Real-Time Object Detection. - Denys Rozumnyi, Ian Cherabier, Marc Pollefeys, Martin R. Oswald:
Learned Semantic Multi-Sensor Depth Map Fusion. - Francesco Bergadano, Roberto Bertilone, Daniela Paolotti, Giancarlo Ruffo:
Learning Real Estate Automated Valuation Models from Heterogeneous Data Sources. - Qiang Du, Björn Engquist, Xiaochuan Tian:
Multiscale Modeling, Homogenization and Nonlocal Effects: Mathematical and Computational Issues. - Aurélien Cavelan, Florina M. Ciorba:
Algorithm-Based Fault Tolerance for Parallel Stencil Computations. - Danila Rukhovich, Daniel Mouritzen, Ralf Kaestner, Martin Rufli, Alexander Velizhev:
Estimation of Absolute Scale in Monocular SLAM Using Synthetic Data. - Yun-Bin Zhao:
Optimal k-thresholding algorithms for sparse optimization problems. - Sayantan Auddy, Sven Magg, Stefan Wermter:
Hierarchical Control for Bipedal Locomotion using Central Pattern Generators and Neural Networks. - Benjamin Naujoks, Patrick Burger, Hans-Joachim Wuensche:
Combining Deep Learning and Model-Based Methods for Robust Real-Time Semantic Landmark Detection. - Xinyu Hua, Lu Wang:
Sentence-Level Content Planning and Style Specification for Neural Text Generation. - Haris Aziz, Hervé Moulin, Fedor Sandomirskiy:
A polynomial-time algorithm for computing a Pareto optimal and almost proportional allocation. - Sreyasi Nag Chowdhury, Niket Tandon, Hakan Ferhatosmanoglu, Gerhard Weikum:
VISIR: Visual and Semantic Image Label Refinement. - Fabiola Santore, Lucas F. Oliveira, Rafael de Paulo Dias, Henrique V. Ehrenfried, Alessandro Elias, Diego Pasqualin, Luis Carlos Erpen De Bona, Marcos Didonet Del Fabro, Marcos Sfair Sunye:
Blended Integrated Open Data: dados abertos públicos integrados. - Luka Naglic, Lovro Subelj:
War pact model of shrinking networks. - Sreyasi Nag Chowdhury, Niket Tandon, Gerhard Weikum:
Know2Look: Commonsense Knowledge for Visual Search. - Liliang Ren, Jianmo Ni, Julian J. McAuley:
Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation. - Rameshwar Nath Tripathi, Kumar Gaurav, Yatindra Nath Singh:
On Partial Coverage and Connectivity Relationship in Deterministic WSN Topologies. - Kokil Jaidka, Michihiro Yasunaga, Muthu Kumar Chandrasekaran, Dragomir R. Radev, Min-Yen Kan:
The CL-SciSumm Shared Task 2018: Results and Key Insights. - Umair Z. Ahmed, Renuka Sindhgatta, Nisheeth Srivastava, Amey Karkare:
Targeted Example Generation for Compilation Errors. - Maxime Busy, Maxime Caniot:
qiBullet, a Bullet-based simulator for the Pepper and NAO robots. - Umberto Michieli, Matteo Biasetton, Gianluca Agresti, Pietro Zanuttigh:
Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation. - Rui Zhang, Tao Yu, Heyang Er, Sungrok Shim, Eric Xue, Xi Victoria Lin, Tianze Shi, Caiming Xiong, Richard Socher, Dragomir R. Radev:
Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions. - Mohammad A. Alhejji, Graeme Smith:
A Tight Uniform Continuity Bound for Equivocation. - Yang Cai, Nikhil R. Devanur, Kira Goldner, R. Preston McAfee:
Simple and Approximately Optimal Pricing for Proportional Complementarities. - Thibault Buhet, Émilie Wirbel, Xavier Perrotton:
Conditional Vehicle Trajectories Prediction in CARLA Urban Environment. - Youjiang Xu, Jiaqi Duan, Zhanghui Kuang, Xiaoyu Yue, Hongbin Sun, Yue Guan, Wayne Zhang:
Geometry Normalization Networks for Accurate Scene Text Detection. - Marko Nonhoff, Philipp N. Köhler, Anna M. Kohl, Kristin Ytterstad Pettersen, Frank Allgöwer:
Economic model predictive control for snake robot locomotion. - Rama Sai Mamidala, Uday Uthkota, Mahamkali Bhavani Shankar, A. Joseph Antony, A. V. Narasimhadhan:
Dynamic Approach for Lane Detection using Google Street View and CNN. - Steven A. Grosz, Joshua J. Engelsma, Nicholas G. Paulter Jr., Anil K. Jain:
White-Box Evaluation of Fingerprint Matchers. - Yimeng Liu, Zhiwen Yu, Bin Guo, Qi Han, Jiangbin Su, Jiahao Liao:
CrowdOS: A Ubiquitous Operating System for Crowdsourcing and Mobile Crowd Sensing. - Md Nafee Al Islam, Siamul Karim Khan:
HishabNet: Detection, Localization and Calculation of Handwritten Bengali Mathematical Expressions. - Yuhao Zhou, Long Zhao, Wei-Jen Lee, Zhenyuan Zhang, Peng Wang:
Optimal Power Flow in Hybrid AC and Multi-terminal HVDC Networks with Offshore Wind Farm Integration Based on Semidefinite Programing. - Mengwei Xu, Xiwen Zhang, Yunxin Liu, Xuanzhe Liu, Felix Xiaozhu Lin:
Approximate Query Processing on Autonomous Cameras. - Nicholas J. A. Harvey, Christopher Liaw, Sikander Randhawa:
Simple and optimal high-probability bounds for strongly-convex stochastic gradient descent. - Mohsen Ghaffari, Krzysztof Nowicki, Mikkel Thorup:
Faster Algorithms for Edge Connectivity via Random 2-Out Contractions. - Shuchi Chawla, Shaleen Deep, Paraschos Koutris, Yifeng Teng:
Revenue Maximization for Query Pricing. - Ryohei Hisano, Hiroshi Iyetomi, Takayuki Mizuno:
Identifying the Hierarchical Influence Structure behind Smart Sanctions using Network Analysis. - Pedro Henrique Bugatti, Priscila T. M. Saito, Larry S. Davis:
HiCoRe: Visual Hierarchical Context-Reasoning. - Anders Aamand, Mikkel Abrahamsen, Mikkel Thorup:
Disks in Curves of Bounded Convex Curvature. - Milan Basic, Branko Arsic, Zoran Obradovic:
Further results on structured regression for multi-scale networks. - Roger Turner:
Defining and Adopting an End User Computing Policy: A Case Study. - Hernan Haimovich, José Luis Mancilla-Aguilar:
Strong ISS implies strong iISS for time-varying impulsive systems. - Jingyi Yuan, Yang Weng, Chin-Woo Tan:
Quantifying Hosting Capacity for Rooftop PV System in LV Distribution Grids. - Mária Csernoch, Piroska Biró:
Are digital natives spreadsheet natives? - Shiva Azimi, Tapan K. Gandhi:
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds. - Mingzhi Yu, Diane J. Litman, Susannah Paletz:
Investigating the Relationship between Multi-Party Linguistic Entrainment, Team Characteristics, and the Perception of Team Social Outcomes. - Bohan Li, Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick, Yiming Yang:
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text. - Rowan Hall Maudslay, Hila Gonen, Ryan Cotterell, Simone Teufel:
It's All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution. - Mingzhi Yu, Emer Gilmartin, Diane J. Litman:
Identifying Personality Traits Using Overlap Dynamics in Multiparty Dialogue. - Hien To, Kien Nguyen, Cyrus Shahabi:
Differentially Private Publication of Location Entropy. - David Smith, Matthew Loper, Xiaochen Hu, Paris Mavroidis, Javier Romero:
FACSIMILE: Fast and Accurate Scans From an Image in Less Than a Second. - Khen Elimelech, Vadim Indelman:
Efficient Decision Making and Belief Space Planning using Sparse Approximations. - Xiangyu Yue, Yang Zhang, Sicheng Zhao, Alberto L. Sangiovanni-Vincentelli, Kurt Keutzer, Boqing Gong:
Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization without Accessing Target Domain Data. - Paul Mireault:
Structured Spreadsheet Modelling and Implementation with Multiple Dimensions - Part 2: Implementation. - Shashwat Shivam, Aris Kanellopoulos, Kyriakos G. Vamvoudakis, Yorai Wardi:
A Predictive Deep Learning Approach to Output Regulation: The Case of Collaborative Pursuit Evasion. - Cong Wang, Yu Chen, Jun He, Chengwang Xie:
Estimating Approximation Errors of Elitist Evolutionary Algorithms. - Boyi Liu, Lujia Wang, Ming Liu, Cheng-Zhong Xu:
Federated Imitation Learning: A Privacy Considered Imitation Learning Framework for Cloud Robotic Systems with Heterogeneous Sensor Data. - Noushin Mehdipour, Cristian Ioan Vasile, Calin Belta:
Average-based Robustness for Continuous-Time Signal Temporal Logic. - Roman Snytsar:
De(con)struction of the lazy-F loop: improving performance of Smith Waterman alignment. - Chengzhi Mao, Ziyuan Zhong, Junfeng Yang, Carl Vondrick, Baishakhi Ray:
Metric Learning for Adversarial Robustness. - Omid Setayeshfar, Christian Adkins, Matthew Jones, Kyu Hyung Lee, Prashant Doshi:
GrAALF: Supporting Graphical Analysis of Audit Logs for Forensics. - Jing Dong, Zhaoyang Lv:
miniSAM: A Flexible Factor Graph Non-linear Least Squares Optimization Framework. - Chunhui Li, Shihao Yan, Nan Yang, Xiangyun Zhou, Riqing Chen:
One-Way URLLC with Truncated Channel Inversion Power Control. - Sanket Sanjay Kalamkar:
Reliability and Local Delay in Wireless Networks: Does Bandwidth Partitioning Help? - Theerasit Issaranon, Chuhang Zou, David A. Forsyth:
Counterfactual Depth from a Single RGB Image. - Hong Zhang, Zhengyu Liu, Emil M. Constantinescu, Robert L. Jacob:
Stability Analysis of Interface Conditions for Ocean-Atmosphere Coupling. - Ruqian Lu, Shengluan Hou, Chuanqing Wang, Yu Huang, Chaoqun Fei, Songmao Zhang:
Attributed Rhetorical Structure Grammar for Domain Text Summarization. - Oluwatobi Olabiyi, Erik T. Mueller, Christopher Larson, Tarek Lahlou:
Adversarial Bootstrapping for Dialogue Model Training. - Bailin Wang, Wei Lu:
Combining Spans into Entities: A Neural Two-Stage Approach for Recognizing Discontiguous Entities. - Yuki Arase, Junichi Tsujii:
Transfer Fine-Tuning: A BERT Case Study. - Yuxiang Zhu, Minxue Pan, Yu Pei, Tian Zhang:
A Bug or a Suggestion? An Automatic Way to Label Issues. - Roland Baumann, Khalid Mahmood Malik, Ali Javed, Andersen Ball, Brandon Kujawa, Hafiz Malik:
Voice Spoofing Detection Corpus for Single and Multi-order Audio Replays. - Fan Zhang, Sai Krishna Deepak Maram, Harjasleen Malvai, Steven Goldfeder, Ari Juels:
DECO: Liberating Web Data Using Decentralized Oracles for TLS. - Kaidong Wu, Yun Ma, Gang Huang, Xuanzhe Liu:
A First Look at Blockchain-based Decentralized Applications. - Maike Paetzel, Ramesh R. Manuvinakurike:
"Can you say more about the location?" The Development of a Pedagogical Reference Resolution Agent. - Ping Chao, Chao-Yang Kao, Yu-Shan Ruan, Chien-Hsiang Huang, Youn-Long Lin:
HarDNet: A Low Memory Traffic Network. - Jordan Hoffmann, Louis Maestrati, Yoshihide Sawada, Jian Tang, Jean Michel D. Sellier, Yoshua Bengio:
Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures. - Kien Nguyen, Jingyun Yang, Yijun Lin, Jianfa Lin, Yao-Yi Chiang, Cyrus Shahabi:
Los Angeles Metro Bus Data Analysis Using GPS Trajectory and Schedule Data (Demo Paper). - Donald Azuatalam, Archie C. Chapman, Gregor Verbic:
A Turvey-Shapley Value Method for Distribution Network Cost Allocation. - Fenxiao Chen, Yuncheng Wang, Bin Wang, C.-C. Jay Kuo:
Graph Representation Learning: A Survey. - Haoyang Huang, Yaobo Liang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Ming Zhou:
Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks. - Chaohao Xie, Shaohui Liu, Chao Li, Ming-Ming Cheng, Wangmeng Zuo, Xiao Liu, Shilei Wen, Errui Ding:
Image Inpainting with Learnable Bidirectional Attention Maps. - Zeyu Liu, Yaxin Xie, Donghan Feng, Yun Zhou, Shanshan Shi, Chen Fang:
Load Forecasting Model and Day-ahead Operation Strategy for City-located EV Quick Charge Stations. - Wen-Xiao Zhao, George Yin, Er-Wei Bai:
Sparse System Identification for Stochastic Feedback Control Systems. - Darius Foo, Jason Yeo, Hao Xiao, Asankhaya Sharma:
The Dynamics of Software Composition Analysis. - Arpita Biswas, Siddharth Barman, Amit Deshpande, Amit Sharma:
Quantifying Infra-Marginality and Its Trade-off with Group Fairness. - Daniel Weidner, Martin Atzmueller, Dietmar Seipel:
Finding Maximal Non-Redundant Association Rules in Tennis Data. - Robin Jia, Aditi Raghunathan, Kerem Göksel, Percy Liang:
Certified Robustness to Adversarial Word Substitutions. - Krishnendu Chatterjee, Andreas Pavlogiannis, Viktor Toman:
Value-centric Dynamic Partial Order Reduction. - Joel Robertson:
Modelling Bushfire Evacuation Behaviours. - Ashkan Yousefpour, Siddartha Devic, Brian Q. Nguyen, Aboudy Kreidieh, Alan Liao, Alexandre M. Bayen, Jason P. Jue:
Guardians of the Deep Fog: Failure-Resilient DNN Inference from Edge to Cloud. - Nitesh Methani, Pritha Ganguly, Mitesh M. Khapra, Pratyush Kumar:
Data Interpretation over Plots. - Takeshi Yoneda, Shunsuke Kozawa, Keisuke Osone, Yukinori Koide, Yosuke Abe, Yoshifumi Seki:
Algorithms and System Architecture for Immediate Personalized News Recommendations. - Assaf Toledo, Shai Gretz, Edo Cohen-Karlik, Roni Friedman, Elad Venezian, Dan Lahav, Michal Jacovi, Ranit Aharonov, Noam Slonim:
Automatic Argument Quality Assessment - New Datasets and Methods. - Xuefeng Bai, Yue Zhang, Hailong Cao, Tiejun Zhao:
Duality Regularization for Unsupervised Bilingual Lexicon Induction. - Morten Kolbæk, Zheng-Hua Tan, Søren Holdt Jensen, Jesper Jensen:
On Loss Functions for Supervised Monaural Time-Domain Speech Enhancement. - Mattia Antonini, Massimo Vecchio, Fabio Antonelli:
Fog Computing Architectures: a Reference for Practitioners. - Lingtao Zhou, Jiaojiao Fang, Guizhong Liu:
Object Viewpoint Classification Based 3D Bounding Box Estimation for Autonomous Vehicles. - Guoqing Li, Meng Zhang, Qianru Zhang, Ziyang Chen, Wenzhao Liu, Jiaojie Li, Xuzhao Shen, Jianjun Li, Zhenyu Zhu, Chau Yuen:
PSDNet and DPDNet: Efficient channel expansion, Depthwise-Pointwise-Depthwise Inverted Bottleneck Block. - Lingtao Zhou, Jiaojiao Fang, Guizhong Liu:
Unsupervised Video Depth Estimation Based on Ego-motion and Disparity Consensus. - Francisco de la Hoz, Sandeep Kumar, Luis Vega:
On the Evolution of the Vortex Filament Equation for regular M-polygons with nonzero torsion. - Samaneh Jozashoori, Maria-Esther Vidal:
MapSDI: A Scaled-up Semantic Data Integration Framework for Knowledge Graph Creation. - Giovanni Interdonato, Marcus Karlsson, Emil Björnson, Erik G. Larsson:
Local Partial Zero-Forcing Precoding for Cell-Free Massive MIMO. - Oscar Adamuz-Hinojosa, Pablo Muñoz, Jose A. Ordonez-Lucena, Juan J. Ramos-Muñoz, Juan M. López-Soler:
Harmonizing 3GPP and NFV description models to provide customized RAN slices in 5G networks. - Henrich Kolkhorst, Wolfram Burgard, Michael Tangermann:
Learning User Preferences for Trajectories from Brain Signals. - Koustav Ghosal, Mukta Prasad, Aljosa Smolic:
A Geometry-Sensitive Approach for Photographic Style Classification. - Johan Östman, Rahul Devassy, Giuseppe Durisi, Erik G. Ström:
Short-packet Transmission via Variable-Length Codes in the Presence of Noisy Stop Feedback. - Fabio Maria Carlucci, Pedro M. Esperança, Marco Singh, Victor Gabillon, Antoine Yang, Hang Xu, Zewei Chen, Jun Wang:
MANAS: Multi-Agent Neural Architecture Search. - Michalina Strzyz, David Vilares, Carlos Gómez-Rodríguez:
Towards Making a Dependency Parser See. - Xu Zheng, Tejo Chalasani, Koustav Ghosal, Sebastian Lutz, Aljosa Smolic:
STaDA: Style Transfer as Data Augmentation. - Bharti Munjal, Fabio Galasso, Sikandar Amin:
Knowledge Distillation for End-to-End Person Search. - Jamshid Mozafari, Mohammad Ali Nematbakhsh, Afsaneh Fatemi:
Attention-based Pairwise Multi-Perspective Convolutional Neural Network for Answer Selection in Question Answering. - Florian Adriaens, Çigdem Aslay, Tijl De Bie, Aristides Gionis, Jefrey Lijffijt:
Discovering Interesting Cycles in Directed Graphs. - (Withdrawn) A Smart Sliding Chinese Pinyin Input Method Editor on Touchscreen.
- Tianyang Shi, Yi Yuan, Changjie Fan, Zhengxia Zou, Zhenwei Shi, Yong Liu:
Face-to-Parameter Translation for Game Character Auto-Creation. - Zhuosheng Zhang, Bingjie Tang, Zuchao Li, Hai Zhao:
Modeling Named Entity Embedding Distribution into Hypersphere. - Fabio Petroni, Tim Rocktäschel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel:
Language Models as Knowledge Bases? - Habibeh Naderi, Behrouz Haji Soleimani, Sheri Rempel, Stan Matwin, Rudolf Uher:
Multimodal Deep Learning for Mental Disorders Prediction from Audio Speech Samples. - Bryn Balls-Barker, Benjamin Webb:
Link Prediction in Networks Using Effective Transitions. - Takuya Ueoka, Akira Ishii, Yasuko Kawahata:
A study of trends in the effects of TV ratings and social media (Twitter) - Case study 1. - Peipei Wang, Lin Li, Yi Yu, Guandong Xu:
Social Influence-based Attentive Mavens Mining and Aggregative Representation Learning for Group Recommendation. - Yiwei Sun, Suhang Wang, Tsung-Yu Hsieh, Xianfeng Tang, Vasant G. Honavar:
MEGAN: A Generative Adversarial Network for Multi-View Network Embedding. - Tajul Rosli Bin Razak, Abdul Hapes Mohammed, Noorfaizalfarid Mohd Noor, Muhamad Arif Hashim:
Automated Data Integration, Cleaning and Analysis Using Data Mining and SPSS Tool For Technical School in Malaysia. - Yucheng Lin, Xiaoqing Yang, Zang Li, Jieping Ye:
AHINE: Adaptive Heterogeneous Information Network Embedding. - Projjal Gupta:
Usage of Permissioned Blockchain Architecture for Big Data in Electronic Medical Records. - Azadeh Nematzadeh, Grace Bang, Xiaomo Liu, Zhiqiang Ma:
Empirical Study on Detecting Controversy in Social Media. - Jonas Schuett:
A Legal Definition of AI. - Tianchi Bi, Hao Xiong, Zhongjun He, Hua Wu, Haifeng Wang:
Multi-agent Learning for Neural Machine Translation. - Yida Wang, David Joseph Tan, Nassir Navab, Federico Tombari:
ForkNet: Multi-branch Volumetric Semantic Completion from a Single Depth Image. - Michael Luggen, Djellel Eddine Difallah, Cristina Sarasua, Gianluca Demartini, Philippe Cudré-Mauroux:
Non-Parametric Class Completeness Estimators for Collaborative Knowledge Graphs - The Case of Wikidata. - Riccardo Cappuzzo, Paolo Papotti, Saravanan Thirumuruganathan:
Local Embeddings for Relational Data Integration. - Orest Kupyn, Dmitry Pranchuk:
Fast and Efficient Model for Real-Time Tiger Detection In The Wild. - Mitja Jancic, Jure Slak, Gregor Kosec:
Analysis of high order dimension independent RBF-FD solution of Poisson's equation. - Guanxiong Luo, Na Zhao, Wenhao Jiang, Peng Cao:
MRI Reconstruction Using Deep Bayesian Inference. - Tomi Janhunen, Michael Sioutis:
Allen's Interval Algebra Makes the Difference. - (Withdrawn) PageRank algorithm for Directed Hypergraph.
- Chidimma Opara, Bo Wei, Yingke Chen:
HTMLPhish: Enabling Accurate Phishing Web Page Detection by Applying Deep Learning Techniques on HTML Analysis. - Binbin Xu, Cédric Gil-Jardiné, Frantz Thiessard, Eric Tellier, Marta Avalos, Emmanuel Lagarde:
Neural Language Model for Automated Classification of Electronic Medical Records at the Emergency Room. The Significant Benefit of Unsupervised Generative Pre-training. - Marius Paraschiv, Nikolaos Laoutaris:
Valuating User Data in a Human-Centric Data Economy. - William Schoenberg:
LoopX: Visualizing and understanding the origins of dynamic model behavior. - Laura Thesing, Anders Christian Hansen:
Non-uniform recovery guarantees for binary measurements and infinite-dimensional compressed sensing. - Jeffrey Cheng, Chris Callison-Burch:
Bilingual is At Least Monolingual (BALM): A Novel Translation Algorithm that Encodes Monolingual Priors. - Felipe de Jesús Torres, Monserrat Sugey Arredondo, José Manuel Martínez, Víctor Manuel Ocampo:
GNU-Octave Como Alternativa de Simulación de Sistemas Dinámicos No Lineales en la Enseñanza de la Ingeniería. - Srinivas Eswar, Koby Hayashi, Grey Ballard, Ramakrishnan Kannan, Michael A. Matheson, Haesun Park:
PLANC: Parallel Low Rank Approximation with Non-negativity Constraints. - Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang:
Neural Policy Gradient Methods: Global Optimality and Rates of Convergence. - Anne-Sophie Himmel, Matthias Bentert, André Nichterlein, Rolf Niedermeier:
Efficient Computation of Optimal Temporal Walks under Waiting-Time Constraints. - Yang Li, Zhi Li, Liang Chen:
Dynamic State Estimation of Generators Under Cyber Attacks. - Yaqi Xie, Ziwei Xu, Kuldeep S. Meel, Mohan S. Kankanhalli, Harold Soh:
Semantically-Regularized Logic Graph Embeddings. - Zuphit Fidelman:
A Generic Sharding Scheme for Blockchain Protocols. - Karel J. in 't Hout, Jacob Snoeijer:
Numerical valuation of Bermudan basket options via partial differential equations. - Yuanyuan Qi, Jiayue Zhang, Weiran Xu, Jun Guo:
Finding Salient Context based on Semantic Matching for Relevance Ranking. - Abraham Glasser, Kesavan R. Kushalnagar, Raja S. Kushalnagar:
Feasibility of Using Automatic Speech Recognition with Voices of Deaf and Hard-of-Hearing Individuals. - Alexandre Défossez, Nicolas Usunier, Léon Bottou, Francis R. Bach:
Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed. - Mihailo Stojnic:
Controlled Loosening-up (CLuP) - achieving exact MIMO ML in polynomial time. - Abraham Glasser, Kesavan R. Kushalnagar, Raja S. Kushalnagar:
Deaf, Hard of Hearing, and Hearing Perspectives on using Automatic Speech Recognition in Conversation. - Yvan Lucas, Pierre-Edouard Portier, Léa Laporte, Liyun He-Guelton, Olivier Caelen, Michael Granitzer, Sylvie Calabretto:
Towards automated feature engineering for credit card fraud detection using multi-perspective HMMs. - Eric Malmi, Sebastian Krause, Sascha Rothe, Daniil Mirylenka, Aliaksei Severyn:
Encode, Tag, Realize: High-Precision Text Editing. - Vasileios Charisopoulos, Austin R. Benson, Anil Damle:
Incrementally Updated Spectral Embeddings. - Mihailo Stojnic:
Complexity analysis of the Controlled Loosening-up (CLuP) algorithm. - Vladimiros Sterzentsenko, Leonidas Saroglou, Anargyros Chatzitofis, Spyridon Thermos, Nikolaos Zioulis, Alexandros Doumanoglou, Dimitrios Zarpalas, Petros Daras:
Self-Supervised Deep Depth Denoising. - Subhabrata Dutta, Gunkirat Kaur, Shreyans Mongia, Arpan Mukherjee, Dipankar Das, Tanmoy Chakraborty:
Into the Battlefield: Quantifying and Modeling Intra-community Conflicts in Online Discussion. - Mihailo Stojnic:
Starting CLuP with polytope relaxation. - Karanpreet Singh, Rajen Bhatt:
Personalizing Smartwatch Based Activity Recognition Using Transfer Learning. - Haibo Qiu, Chunyu Wang, Jingdong Wang, Naiyan Wang, Wenjun Zeng:
Cross View Fusion for 3D Human Pose Estimation. - Bram Wallace, Bharath Hariharan:
Few-Shot Generalization for Single-Image 3D Reconstruction via Priors. - Amogh Gudi, Marian Bittner, Roelof Lochmans, Jan C. van Gemert:
Efficient Real-Time Camera Based Estimation of Heart Rate and Its Variability. - Vladimiros Sterzentsenko, Antonis Karakottas, Alexandros Papachristou, Nikolaos Zioulis, Alexandros Doumanoglou, Dimitrios Zarpalas, Petros Daras:
A Low-Cost, Flexible and Portable Volumetric Capturing System. - Florian Böhm, Yang Gao, Christian M. Meyer, Ori Shapira, Ido Dagan, Iryna Gurevych:
Better Rewards Yield Better Summaries: Learning to Summarise Without References. - Jun-Xing Chin, Andrey Bernstein, Gabriela Hug:
Aggregating Privacy-Conscious Distributed Energy Resources for Grid Service Provision. - Leticia I. Gómez, Bart Kuijpers, Alejandro A. Vaisman:
Online Analytical Processing on Graph Data. - Maximilian Müller-Eberstein, Nanne van Noord:
Translating Visual Art into Music. - Or Ordentlich, Yury Polyanskiy, Ofer Shayevitz:
A Note on the Probability of Rectangles for Correlated Binary Strings. - Davide Palitta, Patrick Kürschner:
On the convergence of Krylov methods with low-rank truncations. - Md Nafee Al Islam, Tanzil Bin Hassan, Siamul Karim Khan:
A CNN-based approach to classify cricket bowlers based on their bowling actions. - Adrian Wills, Thomas B. Schön:
Stochastic quasi-Newton with line-search regularization. - Teng Li, Hyo-Sang Shin, Antonios Tsourdos:
Threshold Greedy Based Task Allocation for Multiple Robot Operations. - Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther:
Large Scale Parallelization Using File-Based Communications. - Irene Sykopetritou, Christos Xenophontos:
An hp finite element method for a singularly perturbed reaction-convection-diffusion boundary value problem with two small parameters. - Stefan Daniel Dumitrescu, Andrei-Marius Avram:
Introducing RONEC - the Romanian Named Entity Corpus. - Vahid Bastani, Damian Campo, Lucio Marcenaro, Carlo S. Regazzoni:
Online Pedestrian Group Walking Event Detection Using Spectral Analysis of Motion Similarity Graph. - Ikuya Yamada, Hiroyuki Shindo:
Neural Attentive Bag-of-Entities Model for Text Classification. - Avner May, Jian Zhang, Tri Dao, Christopher Ré:
On the Downstream Performance of Compressed Word Embeddings. - Damian Campo, Manuela Bastidas, Olga Lucía Quintero:
Multiresolution analysis (discrete wavelet transform) through Daubechies family for emotion recognition in speech. - Elisabetta Vallarino, Sara Sommariva, Michele Piana, Alberto Sorrentino:
On the two-step estimation of the cross-power spectrum for dynamical inverse problems. - Lukasz Augustyniak, Tomasz Kajdanowicz, Przemyslaw Kazienko:
Aspect Detection using Word and Char Embeddings with (Bi)LSTM and CRF. - Philipp A. Witte, Mathias Louboutin, Henryk Modzelewski, Charles Jones, James Selvage, Felix J. Herrmann:
An Event-Driven Approach to Serverless Seismic Imaging in the Cloud. - Kevin Alex Zhang, Lei Xu, Alfredo Cuesta-Infante, Kalyan Veeramachaneni:
Robust Invisible Video Watermarking with Attention. - Ricardo Riaza:
Homogeneous Models of Nonlinear Circuits. - Matthew Henderson, Ivan Vulic, Iñigo Casanueva, Pawel Budzianowski, Daniela Gerz, Sam Coope, Georgios Spithourakis, Tsung-Hsien Wen, Nikola Mrksic, Pei-Hao Su:
PolyResponse: A Rank-based Approach to Task-Oriented Dialogue with Application in Restaurant Search and Booking. - Vladimir Druskin, Mikhail Zaslavsky:
Fast finite-difference convolution for 3D problems in layered media. - Dan Barnes, Matthew Gadd, Paul Murcutt, Paul Newman, Ingmar Posner:
The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset. - Zihan Pan, Yansong Chua, Jibin Wu, Malu Zhang, Haizhou Li, Eliathamby Ambikairajah:
An efficient and perceptually motivated auditory neural encoding and decoding algorithm for spiking neural networks. - Brendon Boldt, Zack While, Eric Breimer:
Detecting Compromised Implicit Association Test Results Using Supervised Learning. - Cara M. Nunez, Sophia R. Williams, Allison M. Okamura, Heather Culbertson:
Understanding Continuous and Pleasant Linear Sensations on the Forearm from a Sequential Discrete Lateral Skin-Slip Haptic Device. - Minjie Wang, Lingfan Yu, Da Zheng, Quan Gan, Yu Gai, Zihao Ye, Mufei Li, Jinjing Zhou, Qi Huang, Chao Ma, Ziyue Huang, Qipeng Guo, Hao Zhang, Haibin Lin, Junbo Zhao, Jinyang Li, Alexander J. Smola, Zheng Zhang:
Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs. - Nian Guo, Victoria Kostina:
Optimal Causal Rate-Constrained Sampling of the Wiener Process. - Shikib Mehri, Alan W. Black, Maxine Eskénazi:
CMU GetGoing: An Understandable and Memorable Dialog System for Seniors. - Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, Nanyun Peng:
The Woman Worked as a Babysitter: On Biases in Language Generation. - Bálint Takács, Yiannis Hadjimichael:
High order discretization methods for spatial dependent SIR models. - Suzan Ece Ada, Emre Ugur, H. Levent Akin:
Generalization in Transfer Learning. - Jonathan P. Chang, Cristian Danescu-Niculescu-Mizil:
Trouble on the Horizon: Forecasting the Derailment of Online Conversations as they Develop. - Shaojie Bai, J. Zico Kolter, Vladlen Koltun:
Deep Equilibrium Models. - Sébastien Lallé, Dereck Toker, Cristina Conati:
Gaze-Driven Adaptive Interventions for Magazine-Style Narrative Visualizations. - Elena Voita, Rico Sennrich, Ivan Titov:
The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives. - Elena Voita, Rico Sennrich, Ivan Titov:
Context-Aware Monolingual Repair for Neural Machine Translation. - Tom Le Paine, Çaglar Gülçehre, Bobak Shahriari, Misha Denil, Matt Hoffman, Hubert Soyer, Richard Tanburn, Steven Kapturowski, Neil C. Rabinowitz, Duncan Williams, Gabriel Barth-Maron, Ziyu Wang, Nando de Freitas, Worlds Team:
Making Efficient Use of Demonstrations to Solve Hard Exploration Problems. - Weiyan Shi, Kun Qian, Xuewei Wang, Zhou Yu:
How to Build User Simulators to Train RL-based Dialog Systems. - Matheus Torquato, Marco Vieira:
Towards Models for Availability and Security Evaluation of Cloud Computing with Moving Target Defense. - Pengfei Sun, Gopala Krishna Anumanchipalli, Edward F. Chang:
Brain2Char: A Deep Architecture for Decoding Text from Brain Recordings. - Soumajyoti Sarkar, Ashkan Aleali, Paulo Shakarian, Mika Armenta, Danielle Sanchez, Kiran Lakkaraju:
Impact of Social Influence on Adoption Behavior: An Online Controlled Experimental Evaluation. - Michael Kapralov, Rasmus Pagh, Ameya Velingker, David P. Woodruff, Amir Zandieh:
Oblivious Sketching of High-Degree Polynomial Kernels. - Youshan Zhang, Jiarui Xing, Miaomiao Zhang:
Mixture Probabilistic Principal Geodesic Analysis. - Karl-Ludwig Besser, Eduard A. Jorswieck:
Reliable Communications Over Dependent Fading Wireless Channels. - Sabah Al-Fedaghi:
Thing/Machine-s (Thimacs) Applied to Structural Description in Software Engineering. - Anupama Ray, Siddharth Kumar, Rutvik Reddy, Prerana Mukherjee, Ritu Garg:
Multi-level Attention network using text, audio and video for Depression Prediction. - Masih Haseli, Jorge Cortés:
Efficient Identification of Linear Evolutions in Nonlinear Vector Fields: Koopman Invariant Subspaces. - Niek Tax:
Mining Insights from Weakly-Structured Event Data. - Titus Cieslewski, Andreas Ziegler, Davide Scaramuzza:
Exploration Without Global Consistency Using Local Volume Consolidation. - Christian Kray, Auriol Degbelo:
Map plasticity. - Kai Zhou, Tomasz P. Michalak, Yevgeniy Vorobeychik:
Adversarial Robustness of Similarity-Based Link Prediction. - Janice Lan, Rosanne Liu, Hattie Zhou, Jason Yosinski:
LCA: Loss Change Allocation for Neural Network Training. - Zihan Wang, Jingbo Shang, Liyuan Liu, Lihao Lu, Jiacheng Liu, Jiawei Han:
CrossWeigh: Training Named Entity Tagger from Imperfect Annotations. - Dhruva Kartik, Ashutosh Nayyar:
Zero-sum Stochastic Games with Asymmetric Information. - Junyi Tu, Paul Rosen:
Topologically-Guided Color Image Enhancement. - Miriam Hurtado Bodell, Martin Arvidsson, Måns Magnusson:
Interpretable Word Embeddings via Informative Priors. - Luca Lugini, Diane J. Litman:
Predicting Specificity in Classroom Discussion. - Baocheng Geng, Qunwei Li, Pramod K. Varshney:
Prospect Theory Based Crowdsourcing for Classification in the Presence of Spammers. - Kiko Fernandez-Reyes, Isaac Oscar Gariano, James Noble, Tobias Wrigstad:
Towards Gradual Checking of Reference Capabilities. - Matthias Taus, Leonardo Zepeda-Núñez, Russell J. Hewett, Laurent Demanet:
L-Sweeps: A scalable, parallel preconditioner for the high-frequency Helmholtz equation. - Navid Hashemi, Justin Ruths:
Generalized chi-squared detector for LTI systems with non-Gaussian noise. - Frédéric Magoulès, Qinmeng Zou:
Asynchronous Time-Parallel Method based on Laplace Transform. - Solomiia Fedushko, Sofia Kolos:
Effective Strategies for Using Hashtags in Online Communication. - Asura Enkhbayar, Stefanie Haustein, Germana Barata, Juan Pablo Alperin:
How much research shared on Facebook is hidden from public view? A comparison of public and private online activity around PLOS ONE papers. - Navid Hashemi, Eduardo Verdugo German, Jonatan Pena Ramirez, Justin Ruths:
Filtering Approaches for Dealing with Noise in Anomaly Detection. - Qinmeng Zou, Frédéric Magoulès:
Fast Gradient Methods with Alignment for Symmetric Linear Systems without Using Cauchy Step. - Brian A. Freno, William A. Johnson, Brian F. Zinser, Salvatore Campione:
Symmetric Triangle Quadrature Rules for Arbitrary Functions. - Qinmeng Zou, Frédéric Magoulès:
Parameter Estimation in the Hermitian and Skew-Hermitian Splitting Method Using Gradient Iterations. - Tao Meng, Nanyun Peng, Kai-Wei Chang:
Target Language-Aware Constrained Inference for Cross-lingual Dependency Parsing. - Samuel Showalter, Zhixin Wu:
Minimizing the Societal Cost of Credit Card Fraud with Limited and Imbalanced Data. - Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli:
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation. - Bibek Paudel, Abraham Bernstein:
Cross-Cutting Political Awareness through Diverse News Recommendations. - Zachary M. Ziegler, Yuntian Deng, Alexander M. Rush:
Neural Linguistic Steganography. - Chen Zhao, Jiaqi Yang, Ke Xian, Zhiguo Cao, Xin Li:
Iterative Clustering with Game-Theoretic Matching for Robust Multi-consistency Correspondence. - Adam Stooke, Pieter Abbeel:
rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch. - Arun Verma, Manjesh Kumar Hanawal, Arun Rajkumar, Raman Sankaran:
Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback. - Aritra Mitra, John A. Richards, Shreyas Sundaram:
A Communication-Efficient Algorithm for Exponentially Fast Non-Bayesian Learning in Networks. - Nir Levine, Yinlam Chow, Rui Shu, Ang Li, Mohammad Ghavamzadeh, Hung Bui:
Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control. - Yixin Chen, Siyuan Huang, Tao Yuan, Siyuan Qi, Yixin Zhu, Song-Chun Zhu:
Holistic++ Scene Understanding: Single-view 3D Holistic Scene Parsing and Human Pose Estimation with Human-Object Interaction and Physical Commonsense. - Junyi Tu, Mustafa Hajij, Paul Rosen:
Propagate and Pair: A Single-Pass Approach to Critical Point Pairing in Reeb Graphs. - Mingyang Chen, Wen Zhang, Wei Zhang, Qiang Chen, Huajun Chen:
Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs. - Mahammad Humayoo, Xueqi Cheng:
Parameter Estimation with the Ordered 𝓁2 Regularization via an Alternating Direction Method of Multipliers. - Tyler L. Hayes, Christopher Kanan:
Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis. - Katharina Kann, Kyunghyun Cho, Samuel R. Bowman:
Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set. - Meng Cao, Jackie Chi Kit Cheung:
Referring Expression Generation Using Entity Profiles. - Liqun Qi, Shenglong Hu:
Spectral Norm and Nuclear Norm of a Third Order Tensor. - Duc Viet Le, Lizzy Tengana Hurtado, Adil Ahmad, Mohsen Minaei, Byoungyoung Lee, Aniket Kate:
A Tale of Two Trees: One Writes, and Other Reads. Optimized Oblivious Accesses to Large-Scale Blockchains. - Yucong Shen, Xin Zhong, Frank Y. Shih:
Deep Morphological Neural Networks. - Yang Li, Thomas Strohmer:
What Happens on the Edge, Stays on the Edge: Toward Compressive Deep Learning. - Quanyu Dai, Xiao Shen, Xiao-Ming Wu, Dan Wang:
Network Transfer Learning via Adversarial Domain Adaptation with Graph Convolution. - Yang Li, Jianhe Yuan, Zhiqun Zhao, Hao Sun, Zhihai He:
Snowball: Iterative Model Evolution and Confident Sample Discovery for Semi-Supervised Learning on Very Small Labeled Datasets. - Rui Hou, Verónica Pérez-Rosas, Stacy L. Loeb, Rada Mihalcea:
Towards Automatic Detection of Misinformation in Online Medical Videos. - Trung V. Phan, Syed Tasnimul Islam, Tri Gia Nguyen, Thomas Bauschert:
Q-DATA: Enhanced Traffic Flow Monitoring in Software-Defined Networks applying Q-learning. - Ajit Jadhav, Prerana Mukherjee, Vinay Kaushik, Brejesh Lall:
Aerial multi-object tracking by detection using deep association networks. - Matti Karppa, Petteri Kaski:
Engineering Boolean Matrix Multiplication for Multiple-Accelerator Shared-Memory Architectures. - Baigong Zheng, Renjie Zheng, Mingbo Ma, Liang Huang:
Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation. - Dileep George:
What can the brain teach us about building artificial intelligence? - Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu:
Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons. - Jaroslav Nesetril, Patrice Ossona de Mendez, Roman Rabinovich, Sebastian Siebertz:
Classes of graphs with low complexity: the case of classes with bounded linear rankwidth. - Katsuhiko Hayashi, Masashi Shimbo:
A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs. - Michael Wayne Goodman:
AMR Normalization for Fairer Evaluation. - Jacob Rafati, David C. Noelle:
Learning sparse representations in reinforcement learning. - Akihiro Yabe, Takanori Maehara:
Empirical Hypothesis Space Reduction. - Liang Pan, Kun Xu:
High-order gas-kinetic scheme with three-dimensional WENO reconstruction for the Euler and Navier-Stokes solutions. - Palash Dey:
Gerrymandering: A Briber's Perspective. - Yu Shi, Jiaming Shen, Yuchen Li, Naijing Zhang, Xinwei He, Zhengzhi Lou, Qi Zhu, Matthew Walker, Myunghwan Kim, Jiawei Han:
Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity. - Guillaume Noyel, Michel Jourlin:
Functional Asplund's metrics for pattern matching robust to variable lighting conditions. - Bing Yao, Meimei Zhao, Xiaohui Zhang, Yarong Mu, Yirong Sun, Mingjun Zhang, Sihua Yang, Fei Ma, Jing Su, Xiaomin Wang, Hongyu Wang, Hui Sun:
Topological Coding and Topological Matrices Toward Network Overall Security. - Xiaoqing Sun, Mingkai Tong, Jiahai Yang:
HinDom: A Robust Malicious Domain Detection System based on Heterogeneous Information Network with Transductive Classification. - Tomer Cohen, Lior Wolf:
Bidirectional One-Shot Unsupervised Domain Mapping. - John Augustine, Kristian Hinnenthal, Fabian Kuhn, Christian Scheideler, Philipp Schneider:
Shortest Paths in a Hybrid Network Model. - Hiroshi Hirai, Motoki Ikeda:
A Cost-Scaling Algorithm for Minimum-Cost Node-Capacitated Multiflow Problem. - Dong Chen, Jamil Y. Khan, Muhammad Awais Javed, Jason Brown:
Interference mitigation techniques for a dense heterogeneous area network in machine-to-machine communications. - Liliana Ardissono, Noemi Mauro:
A Compositional Model of Multi-faceted Trust for Personalized Item Recommendation. - Paolo Ciancarini, Andrea Giovanni Nuzzolese, Valentina Presutti, Daniel Russo:
SQuAP-Ont: an Ontology of Software Quality Relational Factors from Financial Systems. - Andre Coelho, Christian Ott, Harsimran Singh, Fernando C. Lizarralde, Konstantin Kondak:
Multi-DoF Time Domain Passivity Approach based Drift Compensation for Telemanipulation. - Alex Bozarth, Brendan Dwyer, Fei Hu, Daniel Jalova, Karthik Muthuraman, Nick Pentreath, Simon Plovyt, Gabriela de Queiroz, Saishruthi Swaminathan, Patrick Titzler, Xin Wu, Hong Xu, Frederick R. Reiss, Vijay Bommireddipalli:
Model Asset eXchange: Path to Ubiquitous Deep Learning Deployment. - Thomas Scialom, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano:
Answers Unite! Unsupervised Metrics for Reinforced Summarization Models. - Naiyu Gao, Yanhu Shan, Yupei Wang, Xin Zhao, Yinan Yu, Ming Yang, Kaiqi Huang:
SSAP: Single-Shot Instance Segmentation With Affinity Pyramid. - Rainer Kelz, Gerhard Widmer:
Towards Interpretable Polyphonic Transcription with Invertible Neural Networks. - Alexander Poth, Mario Kottke, Andreas Riel:
Scaling agile on large enterprise level - systematic bundling and application of state of the art approaches for lasting agile transitions. - Georgios Mylonas, Dimitrios Amaxilatis, Lidia Pocero, Iraklis Markelis, Jörg Hofstätter, Pavlos Koulouris:
Using an Educational IoT Lab Kit and Gamification for Energy Awareness in European Schools. - Cinzia Di Giusto, Laetitia Laversa, Étienne Lozes:
On the k-synchronizability for mailbox systems. - Astrid S. Pechstein, Martin Meindlhumer, Alexander Humer:
The polarization process of ferroelectric materials analyzed in the framework of variational inequalities. - Ivan Vulic, Goran Glavas, Roi Reichart, Anna Korhonen:
Do We Really Need Fully Unsupervised Cross-Lingual Embeddings? - Ramtine Tofighi-Shirazi, Irina Asavoae, Philippe Elbaz-Vincent, Thanh Ha Le:
Defeating Opaque Predicates Statically through Machine Learning and Binary Analysis. - Vishwajeet Kumar, Sivaanandh Muneeswaran, Ganesh Ramakrishnan, Yuan-Fang Li:
ParaQG: A System for Generating Questions and Answers from Paragraphs. - Xin Kong, Guangyao Zhai, Baoquan Zhong, Yong Liu:
PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud. - Antonio Lieto:
Heterogeneous Proxytypes Extended: Integrating Theory-like Representations and Mechanisms with Prototypes and Exemplars. - Leonard Adolphs, Thomas Hofmann:
LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games. - Alexander Tarakanov, Ahmed H. Elsheikh:
Regression-based sparse polynomial chaos for uncertainty quantification of subsurface flow models. - A. R. Balasubramanian:
Complexity of controlled bad sequences over finite sets of Nk. - Matteo Zancanaro, Francesco Ballarin, Simona Perotto, Gianluigi Rozza:
Hierarchical Model Reduction Techniques for Flow Modeling in a Parametrized Setting. - Nicolas Audebert, Alexandre Boulch, Bertrand Le Saux, Sébastien Lefèvre:
Distance transform regression for spatially-aware deep semantic segmentation. - Solomia Fedushko, Olha Trach, Zoryana Kunch, Yaryna Turchyn, Ulyana Yarka:
Modelling the Behavior Classification of Social News Aggregations Users. - Olha Anisimova, Valeriia Vasylenko, Solomia Fedushko:
Social Networks as a Tool for a Higher Education Institution Image Creation. - Eyal Hadad, Roni Stern:
Learning Test Traces. - Artem Zakharchenko, Yuliia Maksimtsova, Valentyn Iurchenko, Viktoriya Shevchenko, Solomiia Fedushko:
Under the Conditions of Non-Agenda Ownership: Social Media Users in the 2019 Ukrainian Presidential Elections Campaign. - Nhan Thanh Nguyen, Kyungchun Lee:
Deep Learning-Aided Tabu Search Detection for Large MIMO Systems. - Sungho Shin, Yoonho Boo, Wonyong Sung:
Empirical Analysis of Knowledge Distillation Technique for Optimization of Quantized Deep Neural Networks. - Chengzhu Yu, Heng Lu, Na Hu, Meng Yu, Chao Weng, Kun Xu, Peng Liu, Deyi Tuo, Shiyin Kang, Guangzhi Lei, Dan Su, Dong Yu:
DurIAN: Duration Informed Attention Network For Multimodal Synthesis. - Tereza Vojtechová, Michal Novák, Milos Kloucek, Ondrej Bojar:
SAO WMT19 Test Suite: Machine Translation of Audit Reports. - Niklas Heim, James E. Avery:
Adaptive Anomaly Detection in Chaotic Time Series with a Spatially Aware Echo State Network. - Ghazal Tashakor, Remo Suppi:
Simulation and computational analysis of multiscale graph agent-based tumor model. - Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev:
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks. - Lianwei Wu, Yuan Rao, Haolin Jin, Ambreen Nazir, Ling Sun:
Different Absorption from the Same Sharing: Sifted Multi-task Learning for Fake News Detection. - Michael A. Bekos, Chrysanthi N. Raftopoulou:
On a Conjecture of Lovász on Circle-Representations of Simple 4-Regular Planar Graphs. - Yifang Liu, Zhentao Xu, Cong Hui, Yi Xuan, Jessie Chen, Yuanming Shan:
Heterogeneous Collaborative Filtering. - Dingyou Ma, Nir Shlezinger, Tianyao Huang, Yimin Liu, Yonina C. Eldar:
Joint Radar-Communications Strategies for Autonomous Vehicles. - Carl R. Andersson, Antônio H. Ribeiro, Koen Tiels, Niklas Wahlström, Thomas B. Schön:
Deep Convolutional Networks in System Identification. - Joel Hestness, Newsha Ardalani, Greg Diamos:
Beyond Human-Level Accuracy: Computational Challenges in Deep Learning. - Jiahua Xu, Wei Zhou, Zhibo Chen, Suiyi Ling, Patrick Le Callet:
Predictive Auto-Encoding Network for Blind Stereoscopic Image Quality Assessment. - Jaime Ramos:
Büchi automata for distributed temporal logic. - Cezar-Constantin Andrici, Stefan Ciobaca:
Verifying the DPLL Algorithm in Dafny. 3-15 - Vlad Rusu, David Nowak:
(Co)inductive Proof Systems for Compositional Proofs in Reachability Logic. 32-47 - Georgiana Caltais:
Explaining SDN Failures via Axiomatisations. 48-60 - Georgiana Surlea, Adrian Craciun:
Gröbner Bases with Reduction Machines. 61-75 - Isabela Dramnesc, Tudor Jebelean:
Proof-Based Synthesis of Sorting Algorithms Using Multisets in Theorema. 76-91 - Bogdan Aman, Gabriel Ciobanu:
Probabilities in Session Types. 92-106 - Lorenzo Capra:
An Operational Semantics of Graph Transformation Systems Using Symmetric Nets. 107-119 - Peter Garba, Matteo Favaro:
SATURN - Software Deobfuscation Framework Based on LLVM. - Rayson Laroca, Luiz A. Zanlorensi, Gabriel Resende Gonçalves, Eduardo Todt, William Robson Schwartz, David Menotti:
An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector. - Kota Srinivas Reddy, Nikhil Karamchandani:
Rate-Memory Trade-off for Multi-access Coded Caching with Uncoded Placement. - Andreas Kvistad, Massimiliano Ruocco, Eliezer de Souza da Silva, Erlend Aune:
Augmented Memory Networks for Streaming-Based Active One-Shot Learning. - Berkay Anahtarci, Can Deha Kariksiz, Naci Saldi:
Value Iteration Algorithm for Mean-field Games. - Duaa Alawad, Manisha Panta, Minhaz F. Zibran, Md. Rakibul Islam:
An Empirical Study of the Relationships between Code Readability and Software Complexity. - Yu Wang:
Single Training Dimension Selection for Word Embedding with PCA. - Jie Zhang, Yin Zhao, Longjun Cai, Chaoping Tu, Wu Wei:
Video Affective Effects Prediction with Multi-modal Fusion and Shot-Long Temporal Context. - Ronan Baduel, Iulian Ober, Jean-Michel Bruel:
Modeling and verification method for an early validation of a train system. - Armin Wolf:
Modular Modeling and Optimized Scheduling of Building Energy Systems based on Mixed Integer Programming. - Unai Zabala, Igor Rodriguez Rodriguez, José María Martínez-Otzeta, Elena Lazkano:
Learning to gesticulate by observation using a deep generative approach. - Oskar Skibski:
Complexity of Computing the Shapley Value in Games with Externalities. - Mohamed E. Fouda, Fadi J. Kurdahi, Ahmed M. Eltawil, Emre Neftci:
Spiking Neural Networks for Inference and Learning: A Memristor-based Design Perspective. - Tommaso Teofili, Niyati Chhaya:
Affect Enriched Word Embeddings for News Information Retrieval. - Van-Dang Nguyen, Johan Jansson, Anders Goude, Johan Hoffman:
Technical Report - Comparison of Direct Finite Element Simulation with Actuator Line Models and Vortex Models for Simulation of Turbulent Flow Past a Vertical Axis wind Turbine. - Matthia Sabatelli, Gilles Louppe, Pierre Geurts, Marco A. Wiering:
Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning algorithms. - Seth Neel, Aaron Roth, Giuseppe Vietri, Zhiwei Steven Wu:
Differentially Private Objective Perturbation: Beyond Smoothness and Convexity. - Cesar Pereida García, Sohaib ul Hassan, Nicola Tuveri, Iaroslav Gridin, Alejandro Cabrera Aldaya, Billy Bob Brumley:
Certified Side Channels. - Agostino Dovier, Andrea Formisano, Flavio Vella:
GPU-based parallelism for ASP-solving. - Mikhail Prokopenko, Peter Wang:
Fractals2019: Combinatorial Optimisation with Dynamic Constraint Annealing. - Shuyan Wang:
Unifying Causal Models with Trek Rules. - Gábor Melis, Tomás Kociský, Phil Blunsom:
Mogrifier LSTM. - Eric Du, Xiaoyong Li:
Employ Multimodal Machine Learning for Content quality analysis. - Albert H. Schrotenboer, Susanne Wruck, Iris F. A. Vis, Kees Jan Roodbergen:
Integration of returns and decomposition of customer orders in e-commerce warehouses. - Shaojie Tang:
Stochastic Submodular Probing with State-Dependent Costs. - Harsh Beohar, Sebastian Küpper:
Bisimulation maps in presheaf categories. - Charles Clum, Dustin G. Mixon, Theresa Scarnati:
Matching Component Analysis for Transfer Learning. - Lukasz Augustyniak, Tomasz Kajdanowicz, Przemyslaw Kazienko:
Extracting Aspects Hierarchies using Rhetorical Structure Theory. - Paul B. Kantor:
Soft Triangles for Expert Aggregation. - Diego Valsesia, Sophie Marie Fosson, Chiara Ravazzi, Tiziano Bianchi, Enrico Magli:
Analysis of SparseHash: an efficient embedding of set-similarity via sparse projections. - David Allouche:
Computation Protein Design instances with small tree-width: selection based on coarse approximated 3D average position volume. - Zhanghan Ke, Daoye Wang, Qiong Yan, Jimmy S. J. Ren, Rynson W. H. Lau:
Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning. - Esdras L. Bispo Jr.:
Epistemological Issues in Educational Data Mining. - Michael Stewart, Majigsuren Enkhsaikhan, Wei Liu:
ICDM 2019 Knowledge Graph Contest: Team UWA. - Ruomu Zou:
A Deep, Forgetful Novelty-Seeking Movie Recommender Model. - Shanshan Wu, Alexandros G. Dimakis, Sujay Sanghavi:
Learning Distributions Generated by One-Layer ReLU Networks. - Johannes Köhler, Elisa Andina, Raffaele Soloperto, Matthias A. Müller, Frank Allgöwer:
Linear robust adaptive model predictive control: Computational complexity and conservatism. - Bernhard Egger, William A. P. Smith, Ayush Tewari, Stefanie Wuhrer, Michael Zollhöfer, Thabo Beeler, Florian Bernard, Timo Bolkart, Adam Kortylewski, Sami Romdhani, Christian Theobalt, Volker Blanz, Thomas Vetter:
3D Morphable Face Models - Past, Present and Future. - Xiaoli Liu, Jianqin Yin, Huaping Liu, Yilong Yin:
PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction. - Thomas D. Ahle, Jakob Bæk Tejs Knudsen:
Almost Optimal Tensor Sketch. - Hafsa Shareef Dar, Muhammad Ikram Ullah Lali, Moin Ul Din, Khalid Mahmood Malik, Syed Ahmad Chan Bukhari:
Frameworks for Querying Databases Using Natural Language: A Literature Review. - Kübra Uludag, Sinan Emre Tasçi, Ömer Korçak:
Internet Appendix for "Sequential Bargaining Based Incentive Mechanism for Collaborative Internet Access". - John Bryden, Eric Silverman, Simon T. Powers:
Status in flux: Unequal alliances can create power vacuums. - Gianfranco Chicco, Andrea Mazza:
New insights for setting up contractual options for demand side flexibility. - Siddhartha Datta:
DeepObfusCode: Source Code Obfuscation Through Sequence-to-Sequence Networks. - Matthew Jagielski, Nicholas Carlini, David Berthelot, Alex Kurakin, Nicolas Papernot:
High-Fidelity Extraction of Neural Network Models. - Prashnna Kumar Gyawali, Zhiyuan Li, Cameron Knight, Sandesh Ghimire, B. Milan Horácek, John L. Sapp, Linwei Wang:
Improving Disentangled Representation Learning with the Beta Bernoulli Process. - Bin Yan, Haojie Zhao, Dong Wang, Huchuan Lu, Xiaoyun Yang:
'Skimming-Perusal' Tracking: A Framework for Real-Time and Robust Long-term Tracking. - Adarsha Balaji, Anup Das, Yuefeng Wu, Khanh Huynh, Francesco Dell'Anna, Giacomo Indiveri, Jeffrey L. Krichmar, Nikil D. Dutt, Siebren Schaafsma, Francky Catthoor:
Mapping Spiking Neural Networks to Neuromorphic Hardware. - Praveen Fernando, Jin Wei:
Blockchain-Powered Software Defined Network-Enabled Networking Infrastructure for Cloud Management. - Joscha Gedicke, Sjoerd Geevers, Ilaria Perugia:
An equilibrated a posteriori error estimator for arbitrary-order Nédélec elements for magnetostatic problems. - Xiaochao Zhou, Zekun Zhu, Shunchuan Yang, Donglin Su:
Towards a Unified Approach to Electromagnetic Analysis by Multilayer Embedded Objects. - Shivam Bajaj, Shaunak D. Bopardikar:
Dynamic Boundary Guarding Against Radially Incoming Targets. - Mohammad Motamed:
A multi-fidelity neural network surrogate sampling method for uncertainty quantification. - Yash Srivastava, Vaishnav Murali, Shiv Ram Dubey, Snehasis Mukherjee:
Visual Question Answering using Deep Learning: A Survey and Performance Analysis. - Hui Zhu, Zhulin An, Chuanguang Yang, Xiaolong Hu, Kaiqiang Xu, Yongjun Xu:
Rethinking the Number of Channels for the Convolutional Neural Network. - Ryan Shah, Shishir Nagaraja:
Privacy with Surgical Robotics: Challenges in Applying Contextual Privacy Theory. - Syrielle Montariol, Alexandre Allauzen:
Empirical Study of Diachronic Word Embeddings for Scarce Data. - Jindong Gu, Daniela Oelke:
Understanding Bias in Machine Learning. - Jiaojiao Fang, Lingtao Zhou, Guizhong Liu:
3D Bounding Box Estimation for Autonomous Vehicles by Cascaded Geometric Constraints and Depurated 2D Detections Using 3D Results. - John Merrill, Geoff Ward, Sean Kamkar, Jay Budzik, Douglas Merrill:
Generalized Integrated Gradients: A practical method for explaining diverse ensembles. - Khanh Nguyen, Hal Daumé III:
Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning. - Quan Nguyen, Surya Santoso:
Optimal Planning and Operation of Multi-Frequency HVac Transmission Systems. - Bin Wang, Paul G. Kry, Yuanmin Deng, Uri M. Ascher, Hui Huang, Baoquan Chen:
Learning Elastic Constitutive Material and Damping Models. - Ghazal Tashakor, Remo Suppi:
Agent-based model for tumour-analysis using Python+Mesa. - Carole H. Sudre, Beatriz Gomez Anson, Silvia Ingala, Chris D. Lane, Daniel Jimenez, Lukas Haider, Thomas Varsavsky, Ryutaro Tanno, Lorna Smith, Sébastien Ourselin, Hans Rolf Jäger, M. Jorge Cardoso:
Let's agree to disagree: learning highly debatable multirater labelling. - Maurice Margenstern:
About Fibonacci trees III: multiple Fibonacci trees. - Varun Suryan, Pratap Tokekar:
Learning a Spatial Field in Minimum Time with a Team of Robots. - Shishir Nagaraja, Ryan Shah:
VoipLoc: Establishing VoIP call provenance using acoustic side-channels. - Vincenzo Giuliano, Valerio Formicola:
ICSrange: A Simulation-based Cyber Range Platform for Industrial Control Systems. - Royce J. Wilson, Celia Yuxin Zhang, William Lam, Damien Desfontaines, Daniel Simmons-Marengo, Bryant Gipson:
Differentially Private SQL with Bounded User Contribution. - Ana Silva, Allen Ibiapina:
On Orthogonal Vector Edge Coloring. - Dmitry Batenkov, Benedikt Diederichs, Gil Goldman, Yosef Yomdin:
The spectral properties of Vandermonde matrices with clustered nodes. - Ilja Kuzborskij, Csaba Szepesvári:
Efron-Stein PAC-Bayesian Inequalities. - Pengfei Zhang, Jianru Xue, Cuiling Lan, Wenjun Zeng, Zhanning Gao, Nanning Zheng:
EleAtt-RNN: Adding Attentiveness to Neurons in Recurrent Neural Networks. - Kazufumi Ito, Bangti Jin:
Regularized Linear Inversion with Randomized Singular Value Decomposition. - Jaemin Cho, Min Joon Seo, Hannaneh Hajishirzi:
Mixture Content Selection for Diverse Sequence Generation. - Bernardo B. Gatto, Eulanda Miranda dos Santos, Alessandro L. Koerich, Kazuhiro Fukui, Waldir S. S. Júnior:
Tensor Analysis with n-Mode Generalized Difference Subspace. - Xavier Soria, Edgar Riba, Angel Domingo Sappa:
Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection. - Ajay D. Kshemkalyani, Anisur Rahaman Molla, Gokarna Sharma:
Dispersion of Mobile Robots in the Global Communication Model. - Peter Clark, Oren Etzioni, Daniel Khashabi, Tushar Khot, Bhavana Dalvi Mishra, Kyle Richardson, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord, Niket Tandon, Sumithra Bhakthavatsalam, Dirk Groeneveld, Michal Guerquin, Michael Schmitz:
From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project. - Paulo Tabuada, Lucas Fraile:
A Note on Data-Driven Control for SISO Feedback Linearizable Systems Without Persistency of Excitation. - Kristofer Schlachter, Connor DeFanti, Sebastian Herscher, Ken Perlin, Jonathan Tompson:
Beyond Photo Realism for Domain Adaptation from Synthetic Data. - Grzegorz Dudek:
A Constructive Approach for Data-Driven Randomized Learning of Feedforward Neural Networks. - Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal, Rajesh K. Gupta:
ACES - Automatic Configuration of Energy Harvesting Sensors with Reinforcement Learning. - Shah Nawaz, Muhammad Kamran Janjua, Ignazio Gallo, Arif Mahmood, Alessandro Calefati, Faisal Shafait:
Do Cross Modal Systems Leverage Semantic Relationships? - Daniel Zhengyu Huang, Will Pazner, Per-Olof Persson, Matthew J. Zahr:
High-order partitioned spectral deferred correction solvers for multiphysics problems. - Duong N. Nguyen, Aleksey Charapko, Sandeep S. Kulkarni, Murat Demirbas:
Using Weaker Consistency Models with Monitoring and Recovery for Improving Performance of Key-Value Stores. - Arnab Bhattacharyya, Édouard Bonnet, László Egri, Suprovat Ghoshal, Karthik C. S., Bingkai Lin, Pasin Manurangsi, Dániel Marx:
Parameterized Intractability of Even Set and Shortest Vector Problem. - Baha Eddine Youcef Belmekki, Abdelkrim Hamza, Benoît Escrig:
Outage Analysis of Cooperative NOMA Using Maximum Ratio Combining at Intersections. - Jacob Rafati, Roummel F. Marcia:
Quasi-Newton Optimization Methods For Deep Learning Applications. - Song Fang, Karl Henrik Johansson, Mikael Skoglund, Henrik Sandberg, Hideaki Ishii:
Two-Way Coding and Attack Decoupling in Control Systems Under Injection Attacks. - Stefan Larson, Anish Mahendran, Joseph J. Peper, Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K. Kummerfeld, Kevin Leach, Michael A. Laurenzano, Lingjia Tang, Jason Mars:
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction. - Noah Bilgrien, Roy Finkelberg, Chirag Tailor, India Irish, Girish Murali, Abhishek Mangal, Niklas Gustafsson, Sumedha Raman, Thad Starner, Rosa I. Arriaga:
PARQR: Augmenting the Piazza Online Forum to Better Support Degree Seeking Online Masters Students. - Ming Jiang, Qiuyuan Huang, Lei Zhang, Xin Wang, Pengchuan Zhang, Zhe Gan, Jana Diesner, Jianfeng Gao:
TIGEr: Text-to-Image Grounding for Image Caption Evaluation. - Samuel S. Ogden, Tian Guo:
ModiPick: SLA-aware Accuracy Optimization For Mobile Deep Inference. - Eva Sharma, Luyang Huang, Zhe Hu, Lu Wang:
An Entity-Driven Framework for Abstractive Summarization. - Yonatan Oren, Shiori Sagawa, Tatsunori B. Hashimoto, Percy Liang:
Distributionally Robust Language Modeling. - Salem Alqahtani, Murat Demirbas:
Performance Analysis and Comparison of Distributed Machine Learning Systems. - Bas Hofstra, Sebastian Munoz-Najar Galvez, Bryan He, Vivek V. Kulkarni, Daniel A. McFarland:
Diversity Breeds Innovation With Discounted Impact and Recognition. - Keping Bi, Choon Hui Teo, Yesh Dattatreya, Vijai Mohan, W. Bruce Croft:
Leverage Implicit Feedback for Context-aware Product Search. - Ran Xu, Jinkyu Koo, Rakesh Kumar, Peter Bai, Subrata Mitra, Ganga Maghanath, Saurabh Bagchi:
ApproxNet: Content and Contention Aware Video Analytics System for the Edge. - Minghui Sun, Georgios Bakirtzis, Hassan Jafarzadeh, Cody H. Fleming:
Correct-by-construction: a contract-based semi-automated requirement decomposition process. - Keping Bi, Qingyao Ai, Yongfeng Zhang, W. Bruce Croft:
Conversational Product Search Based on Negative Feedback. - Tianlang Chen, Zhaowen Wang, Ning Xu, Hailin Jin, Jiebo Luo:
Large-scale Tag-based Font Retrieval with Generative Feature Learning. - Sarthak Garg, Stephan Peitz, Udhyakumar Nallasamy, Matthias Paulik:
Jointly Learning to Align and Translate with Transformer Models. - Shariq Iqbal, Jonathan Tremblay, Thang To, Jia Cheng, Erik Leitch, Andy Campbell, Kirby Leung, Duncan McKay, Stan Birchfield:
Directional Semantic Grasping of Real-World Objects: From Simulation to Reality. - Yirui Wang, Le Lu, Chi-Tung Cheng, Dakai Jin, Adam P. Harrison, Jing Xiao, Chien-Hung Liao, Shun Miao:
Weakly Supervised Universal Fracture Detection in Pelvic X-rays. - Yuxuan Yu, Haolin Liu, Kuanren Qian, Humphrey Yang, Matthew McGehee, Jianzhe Gu, Danli Luo, Lining Yao, Yongjie Jessica Zhang:
Thermoplastic Fiber Reinforced Composite Material Characterization and Precise Finite Element Analysis for 4D Printing. - Sanidhya Kashyap, Dai Qin, Steve Byan, Virendra J. Marathe, Sanketh Nalli:
Correct, Fast Remote Persistence. - Soravit Changpinyo, Bo Pang, Piyush Sharma, Radu Soricut:
Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering. - Yujia Xie, Haoming Jiang, Feng Liu, Tuo Zhao, Hongyuan Zha:
Meta Learning with Relational Information for Short Sequences. - Hao-Jun Michael Shi, Dheevatsa Mudigere, Maxim Naumov, Jiyan Yang:
Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation Systems. - Yingkai Li, Edmund Y. Lou, Liren Shan:
Stochastic Linear Optimization with Adversarial Corruption. - Razieh Tavakoli, Mohammad Najafi, Ali Sharifara:
Artificial Neural Networks and Adaptive Neuro-fuzzy Models for Prediction of Remaining Useful Life. - Jiayuan Mao, Xiuming Zhang, Yikai Li, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Program-Guided Image Manipulators. - Xiyuan Yang, Xiaotao Gu, Sheng Lin, Siliang Tang, Yueting Zhuang, Fei Wu, Zhigang Chen, Guoping Hu, Xiang Ren:
Learning Dynamic Context Augmentation for Global Entity Linking. - Subho S. Banerjee, Saurabh Jha, Ravishankar K. Iyer:
Inductive Bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters. - Aida Mostafazadeh Davani, Leigh Yeh, Mohammad Atari, Brendan Kennedy, Gwenyth Portillo-Wightman, Elaine Gonzalez, Natalie Delong, Rhea Bhatia, Arineh Mirinjian, Xiang Ren, Morteza Dehghani:
Reporting the Unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes. - Leyuan Wang, John D. Owens:
Fast BFS-Based Triangle Counting on GPUs. - Philip Paquette, Yuchen Lu, Steven Bocco, Max O. Smith, Satya Ortiz-Gagne, Jonathan K. Kummerfeld, Satinder Singh, Joelle Pineau, Aaron C. Courville:
No Press Diplomacy: Modeling Multi-Agent Gameplay. - Jialiang Zhao, Jacky Liang, Oliver Kroemer:
Towards Precise Robotic Grasping by Probabilistic Post-grasp Displacement Estimation. - Hao Peng, Roy Schwartz, Noah A. Smith:
PaLM: A Hybrid Parser and Language Model. - Pegah Varghaei, Ehsan Kharazmi, Jorge L. Suzuki, Mohsen Zayernouri:
Vibration Analysis of Geometrically Nonlinear and Fractional Viscoelastic Cantilever Beams. - Lifeng Fan, Wenguan Wang, Siyuan Huang, Xinyu Tang, Song-Chun Zhu:
Understanding Human Gaze Communication by Spatio-Temporal Graph Reasoning. - Bill Yuchen Lin, Xinyue Chen, Jamin Chen, Xiang Ren:
KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning. - Milad Nasr, Michael Carl Tschantz:
Bidding Strategies with Gender Nondiscrimination: Constraints for Online Ad Auctions. - Gary Storey, Ahmed Bouridane, Richard Jiang, Chang-Tsun Li:
Atypical Facial Landmark Localisation with Stacked Hourglass Networks: A Study on 3D Facial Modelling for Medical Diagnosis. - Wenhu Chen, Hongmin Wang, Jianshu Chen, Yunkai Zhang, Hong Wang, Shiyang Li, Xiyou Zhou, William Yang Wang:
TabFact: A Large-scale Dataset for Table-based Fact Verification. - Nilesh Pandey, Andreas E. Savakis:
Poly-GAN: Multi-Conditioned GAN for Fashion Synthesis. - Yiwei Lu, Mahesh Kumar K., Seyed Shahabeddin Nabavi, Yang Wang:
Future Frame Prediction Using Convolutional VRNN for Anomaly Detection. - Wenxuan Zhou, Hongtao Lin, Ziqi Wang, Leonardo Neves, Xiang Ren:
Neural Rule Grounding for Low-Resource Relation Extraction. - Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian, Yong Shi:
Learning from Label Proportions with Generative Adversarial Networks. - Tixiao Shan, Brendan J. Englot:
A Lexicographic Search Method for Multi-Objective Motion Planning. - Shiyin Lu, Lijun Zhang:
More Adaptive Algorithms for Tracking the Best Expert. - Libo Qin, Wanxiang Che, Yangming Li, Haoyang Wen, Ting Liu:
A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding. - Jiazhen Gu, Huanlin Xu, Yangfan Zhou, Xin Wang, Hui Xu, Michael R. Lyu:
Detecting Deep Neural Network Defects with Data Flow Analysis. - Bruce Lee, Andrew G. Lamperski:
Non-asymptotic Closed-Loop System Identification using Autoregressive Processes and Hankel Model Reduction. - Zijian Zhang, Ying Cui, Feng Yang, Lianghui Ding:
Analysis and Optimization of Outage Probability in Multi-Intelligent Reflecting Surface-Assisted Systems. - Zheng Hui Ernest Tan, A. S. Madhukumar, Rajendra Prasad Sirigina, Anoop Kumar Krishna:
An Outage Probability Analysis of Full-Duplex NOMA in UAV Communications. - Shukan Shah, Matthew Guzdial, Mark O. Riedl:
Automated Let's Play Commentary. - Sneha Reddy Kudugunta, Ankur Bapna, Isaac Caswell, Naveen Arivazhagan, Orhan Firat:
Investigating Multilingual NMT Representations at Scale. - James Ju Heon Lee, Chanyeol Yoo, Stuart Anstee, Robert Fitch:
Efficient Optimal Planning in non-FIFO Time-Dependent Flow Fields. - Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, In So Kweon:
Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach. - Xilai Liu, Bingqing Liu, Tong Yang, Gaogang Xie:
Elastic_HH: Tailored Elastic for Finding Heavy Hitters. - Zhuosheng Zhang, Yuwei Wu, Hai Zhao, Zuchao Li, Shuailiang Zhang, Xi Zhou, Xiang Zhou:
Semantics-aware BERT for Language Understanding. - Didier Bieler, Semih Günel, Pascal Fua, Helge Rhodin:
Gravity as a Reference for Estimating a Person's Height from Video. - Stephen M. Blackburn, Kathryn S. McKinley, Lexing Xie:
Author Growth Outstrips Publication Growth in Computer Science and Publication Quality Correlates with Collaboration. - Yifan Liu, Bohan Zhuang, Chunhua Shen, Hao Chen, Wei Yin:
Training Compact Neural Networks via Auxiliary Overparameterization. - Baris Gecer, Alexander Lattas, Stylianos Ploumpis, Jiankang Deng, Athanasios Papaioannou, Stylianos Moschoglou, Stefanos Zafeiriou:
Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks. - Ming Jiang, Junjie Hu, Qiuyuan Huang, Lei Zhang, Jana Diesner, Jianfeng Gao:
REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image Captioning. - Hongyang Xue, Wenqing Chu, Zhou Zhao, Deng Cai:
A Better Way to Attend: Attention with Trees for Video Question Answering. - Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu:
Multi-Granularity Self-Attention for Neural Machine Translation. - Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, Kai-Wei Chang:
Examining Gender Bias in Languages with Grammatical Gender. - Junran Peng, Ming Sun, Zhaoxiang Zhang, Tieniu Tan, Junjie Yan:
POD: Practical Object Detection with Scale-Sensitive Network. - Pablo Gómez Esteban, Daniel Hernández García, Hee Rin Lee, Marta Romeo, Emmanuel Senft, Erik Billing:
Proceedings of the SREC (Social Robots in Therapy and Care) Workshop at HRI 2019. - Pierre Vuillemin, Pauline Kergus, Charles Poussot-Vassal:
Technical note: Hybrid Loewner Data Driven Control. - Dongdong Hu, Xuenian Cao:
A Fourth-Order Compact ADI Scheme for Two-Dimensional Riesz Space Fractional Nonlinear Reaction-Diffusion Equation. - Meishan Zhang, Yue Zhang, Guohong Fu:
Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank. - Zhichen Zhao, Bowen Zhang, Yuning Jiang, Li Xu, Lei Li, Wei-Ying Ma:
Effective Domain Knowledge Transfer with Soft Fine-tuning. - Jorge Buzzio García, Victor Salazar Vilchez, Jeffrey Zavala Castro, Jose L. Quiroz Arroyo:
Using Cyber Threat Intelligence to Prevent Malicious Known Traffic in a SDN Physical Testbed. - Yiming Wu, Omar El Farouk Bourahla, Xi Li, Fei Wu, Qi Tian:
Adaptive Graph Representation Learning for Video Person Re-identification. - Xiujun Li, Chunyuan Li, Qiaolin Xia, Yonatan Bisk, Asli Celikyilmaz, Jianfeng Gao, Noah A. Smith, Yejin Choi:
Robust Navigation with Language Pretraining and Stochastic Sampling. - Takashi Shibuya, Eduard H. Hovy:
Nested Named Entity Recognition via Second-best Sequence Learning and Decoding. - Chris Wendler, Dan Alistarh, Markus Püschel:
Powerset Convolutional Neural Networks. - Olivier Goudet, Béatrice Duval, Jin-Kao Hao:
Gradient Descent based Weight Learning for Grouping Problems: Application on Graph Coloring and Equitable Graph Coloring. - Tho Chi Luong, Phuong Le-Hong:
Towards Task-Oriented Dialogue in Mixed Domains. - Chengyi Wang, Shuangzhi Wu, Shujie Liu:
Source Dependency-Aware Transformer with Supervised Self-Attention. - Chengyi Wang, Shuangzhi Wu, Shujie Liu:
Accelerating Transformer Decoding via a Hybrid of Self-attention and Recurrent Neural Network. - Jun-ichiro Furukawa, Jun Morimoto:
An Optimal Assistive Control Strategy based on User's Motor Goal Estimation. - Lutz Kämmerer:
Multiple Lattice Rules for Multivariate L∞ Approximation in the Worst-Case Setting. - Yu Chen, Yingfeng Chen, Yu Yang, Ying Li, Jianwei Yin, Changjie Fan:
Learning Action-Transferable Policy with Action Embedding. - Junran Peng, Ming Sun, Zhaoxiang Zhang, Tieniu Tan, Junjie Yan:
Efficient Neural Architecture Transformation Searchin Channel-Level for Object Detection. - Dawid Mieloch, Olgierd Stankiewicz, Marek Domanski:
Depth Map Estimation for Free-Viewpoint Television. - Filipe Gama, Matej Hoffmann:
The homunculus for proprioception: Toward learning the representation of a humanoid robot's joint space using self-organizing maps. - Evgeny V. Tsykunov, Ruslan Agishev, Roman Ibrahimov, Luiza Labazanova, Akerke Tleugazy, Dzmitry Tsetserukou:
SwarmTouch: Guiding a Swarm of Micro-Quadrotors with Impedance Control using a Wearable Tactile Interface. - Yonghyun Kim, Bong-Nam Kang, Daijin Kim:
Detector With Focus: Normalizing Gradient In Image Pyramid. - Heng Gong, Xiaocheng Feng, Bing Qin, Ting Liu:
Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time). - Laura Rettig, Julien Audiffren, Philippe Cudré-Mauroux:
Fusing Vector Space Models for Domain-Specific Applications. - Dakuo Wang, Justin D. Weisz, Michael J. Muller, Parikshit Ram, Werner Geyer, Casey Dugan, Yla R. Tausczik, Horst Samulowitz, Alexander G. Gray:
Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI. - Javier Álvez, Itziar Gonzalez-Dios, German Rigau:
Commonsense Reasoning Using WordNet and SUMO: a Detailed Analysis. - Reinald Kim Amplayo, Mirella Lapata:
Informative and Controllable Opinion Summarization. - Rui Ray Zhang, Xingwu Liu, Yuyi Wang, Liwei Wang:
McDiarmid-Type Inequalities for Graph-Dependent Variables and Stability Bounds. - Tin Lai, Weiming Zhi, Fabio Ramos:
Occ-Traj120: Occupancy Maps with Associated Trajectories. - Anne Lauscher, Ivan Vulic, Edoardo Maria Ponti, Anna Korhonen, Goran Glavas:
Informing Unsupervised Pretraining with External Linguistic Knowledge. - Mauro Bisiacco, Gianluigi Pillonetto:
Kernel absolute summability is only sufficient for RKHS stability. - Xueying Shi, Qi Dou, Cheng Xue, Jing Qin, Hao Chen, Pheng-Ann Heng:
An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis. - Ana C. M. Brito, Filipi Nascimento Silva, Diego Raphael Amancio:
A complex network approach to political analysis: application to the Brazilian Chamber of Deputies. - Peilun Wu, Hui Guo, Richard Buckland:
A Transfer Learning Approach for Network Intrusion Detection. - Zhi Yan, Nathan Crombez, Li Sun:
EPANer Team Description Paper for World Robot Challenge 2020. - Mehdi Salehi Heydar Abad, Emre Ozfatura, Deniz Gündüz, Özgür Erçetin:
Hierarchical Federated Learning Across Heterogeneous Cellular Networks. - Geoffrey C. Fox, Shantenu Jha:
Understanding ML driven HPC: Applications and Infrastructure. - (Withdrawn) A Simple Reduction for Full-Permuted Pattern Matching Problems on Multi-Track Strings.
- Diogo Gonçalves, Salvatore Signorello, Fernando M. V. Ramos, Muriel Médard:
Random Linear Network Coding on Programmable Switches. - Ardalan Farkhondeh:
A Private and Unlinkable Message Exchange Using a Public bulletin board in Opportunistic Networks. - Yukuan Yang, Shuang Wu, Lei Deng, Tianyi Yan, Yuan Xie, Guoqi Li:
Training High-Performance and Large-Scale Deep Neural Networks with Full 8-bit Integers. - Hafez Farazi, Grzegorz Ficht, Philipp Allgeuer, Dmytro Pavlichenko, Diego Rodriguez, André Brandenburger, Mojtaba Hosseini, Sven Behnke:
NimbRo Robots Winning RoboCup 2018 Humanoid AdultSize Soccer Competitions. - Hee-Sun Choi, Junmo An, Jin-Gyun Kim, Jae-Yoon Jung, Juhwan Choi, Grzegorz Orzechowski, Aki Mikkola, Jin-Hwan Choi:
Data-driven simulation for general purpose multibody dynamics using deep neural networks. - Rahul Aralikatte, Heather C. Lent, Ana Valeria González-Garduño, Daniel Hershcovich, Chen Qiu, Anders Sandholm, Michael Ringaard, Anders Søgaard:
Rewarding Coreference Resolvers for Being Consistent with World Knowledge. - Anja F. Syring, Niek Tax, Wil M. P. van der Aalst:
Evaluating Conformance Measures in Process Mining using Conformance Propositions (Extended version). - Florent Le Néchet:
Modelling transport provision in a polycentric mega city region. - Ruoyu Deng, Na Ruan:
FraudJudger: Real-World Data Oriented Fraud Detection on Digital Payment Platforms. - Yuan Miao, Gongqi Lin, Yidan Hu, Chunyan Miao:
Reading Comprehension Ability Test-A Turing Test for Reading Comprehension. - Ching-Lueh Chang:
On ultrametric 1-median selection. - Andreas Kleefeld, Lukas Pieronek:
Elastic interior transmission eigenvalues and their computation via the method of fundamental solutions. - Anna Kukleva, Mohammad Asif Khan, Hafez Farazi, Sven Behnke:
Utilizing Temporal Information in Deep Convolutional Network for Efficient Soccer Ball Detection and Tracking. - Ahmad Hosny Eid:
A Low-Memory Time-Efficient Implementation of Outermorphisms for Higher-Dimensional Geometric Algebras. - Alejandro López-Cifuentes, Marcos Escudero-Viñolo, Jesús Bescós, Álvaro García-Martín:
Semantic-Aware Scene Recognition. - Daniel A. Brooks, Olivier Schwander, Frédéric Barbaresco, Jean-Yves Schneider, Matthieu Cord:
Riemannian batch normalization for SPD neural networks. - Aishwarya Agarwal, Edith Elkind, Jiarui Gan, Alexandros A. Voudouris:
Swap Stability in Schelling Games on Graphs. - Xavier Bost, Serigne Gueye, Vincent Labatut, Martha A. Larson, Georges Linarès, Damien Malinas, Raphaël Roth:
Remembering winter was coming. - Andrés Camero, Jamal Toutouh, Enrique Alba:
A Specialized Evolutionary Strategy Using Mean Absolute Error Random Sampling to Design Recurrent Neural Networks. - Alfred Laugros, Alice Caplier, Matthieu Ospici:
Are Adversarial Robustness and Common Perturbation Robustness Independant Attributes ? - Sharath M. Shankaranarayana, Davor Runje:
ALIME: Autoencoder Based Approach for Local Interpretability. - Shichang Ding, Xiangyang Luo, Dengpan Ye, Fenlin Liu:
Delay-Distance Correlation Study for IP Geolocation. - Jukka Ruohonen, Kalle Rindell:
Empirical Notes on the Interaction Between Continuous Kernel Fuzzing and Development. - Marius Lindauer, Frank Hutter:
Best Practices for Scientific Research on Neural Architecture Search. - Tiffany M. Mintz, Alexander J. McCaskey, Eugene F. Dumitrescu, Shirley V. Moore, Sarah Powers, Pavel Lougovski:
QCOR: A Language Extension Specification for the Heterogeneous Quantum-Classical Model of Computation. - Xiaosong Zhang, Fang Wan, Chang Liu, Rongrong Ji, Qixiang Ye:
FreeAnchor: Learning to Match Anchors for Visual Object Detection. - Vladislav Golyanik, André Jonas, Didier Stricker, Christian Theobalt:
Intrinsic Dynamic Shape Prior for Fast, Sequential and Dense Non-Rigid Structure from Motion with Detection of Temporally-Disjoint Rigidity. - Charles Monnoyer de Galland, Julien M. Hendrickx:
Lower bound performances for average consensus in open multi-agent systems (extended version). - Aneek Barman Roy, Baolei Chen, Siddharth Tiwari, Zihan Huang:
A Discussion on Influence of Newspaper Headlines on Social Media. - Xuezhe Ma, Chunting Zhou, Xian Li, Graham Neubig, Eduard H. Hovy:
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow. - Joseph P. Near, David Darais, Chike Abuah, Tim Stevens, Pranav Gaddamadugu, Lun Wang, Neel Somani, Mu Zhang, Nikhil Sharma, Alex Shan, Dawn Song:
Duet: An Expressive Higher-order Language and Linear Type System for Statically Enforcing Differential Privacy. - Péter Várnai, Dimos V. Dimarogonas:
Gradient-Based STL Control with Application to Nonholonomic Systems. - Carmen D'Andrea, Adrian García-Rodríguez, Giovanni Geraci, Lorenzo Galati-Giordano, Stefano Buzzi:
Enabling UAV communications with cell-free massive MIMO. - Wei Wei, Ling Cheng, Xianling Mao, Guangyou Zhou, Feida Zhu:
Stack-VS: Stacked Visual-Semantic Attention for Image Caption Generation. - Dekai Zhu, Jinhu Dong, Zhongcong Xu, Canbo Ye, Yinbai Hu, Hang Su, Zhengfa Liu, Guang Chen:
Neuromorphic Visual Odometry System for Intelligent Vehicle Application with Bio-inspired Vision Sensor. - Hang Zhang, Martin Slawski, Ping Li:
Permutation Recovery from Multiple Measurement Vectors in Unlabeled Sensing. - Shravan Krishnan, Govind Aadithya Rajagopalan, Sivanathan Kandhasamy, Madhavan Shanmugavel:
Continuous-Time Trajectory Optimization for Decentralized Multi-Robot Navigation. - Kefan Dong, Jian Peng, Yining Wang, Yuan Zhou:
√n-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank. - Yusuf Sermet, Ibrahim Demir:
A Generalized Web Component for Domain-Independent Smart Assistants. - Lila Kari, Timothy Ng:
Descriptional Complexity of Semi-Simple Splicing Systems. - Shanuja Sasi, V. Lalitha, Vaneet Aggarwal, B. Sundar Rajan:
Straggler Mitigation with Tiered Gradient Codes. - Hyeongwoo Kim, Mohamed Elgharib, Michael Zollhöfer, Hans-Peter Seidel, Thabo Beeler, Christian Richardt, Christian Theobalt:
Neural Style-Preserving Visual Dubbing. - Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Claudio Pomo, Azzurra Ragone:
On the discriminative power of Hyper-parameters in Cross-Validation and how to choose them. - Xuesu Xiao, Jan Dufek, Robin R. Murphy:
Robot Motion Risk Reasoning Framework. - David Novotný, Nikhila Ravi, Benjamin Graham, Natalia Neverova, Andrea Vedaldi:
C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion. - Raja S. Kushalnagar, Matthew Seita, Abraham Glasser:
Closed ASL Interpreting for Online Videos. - Howard C. Elman, Akwum Onwunta:
Reduced-order modeling for nonlinear Bayesian statistical inverse problems. - Md Sirajus Salekin, Ghada Zamzmi, Rahul Paul, Dmitry B. Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun:
Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound. - Md. Zamilur Rahman, Asish Mukhopadhyay:
Strongly Chordal Graph Generation using Intersection Graph Characterisation. - Nisreen Madi, Mouhammd Alkasassbeh:
Collecting MIB Data from Network Managed by SNMP using Multi Mobile Agents. - Mihir Chauhan, Mohammad Abuzar Shaikh, Sargur N. Srihari:
Explanation based Handwriting Verification. - Daniel J. Saunders, Cooper Sigrist, Kenneth Chaney, Robert Kozma, Hava T. Siegelmann:
Minibatch Processing in Spiking Neural Networks. - Yuwen Li:
Quasi-optimal adaptive hybridized mixed finite element methods for linear elasticity. - Zhouxing Shi, Minlie Huang:
Robustness to Modification with Shared Words in Paraphrase Identification. - Houssem Ben Braiek, Foutse Khomh:
TFCheck : A TensorFlow Library for Detecting Training Issues in Neural Network Programs. - Houssem Ben Braiek, Foutse Khomh:
DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks. - Jaromír Janisch, Tomás Pevný, Viliam Lisý:
Classification with Costly Features as a Sequential Decision-Making Problem. - Kristina Gligoric, Ashton Anderson, Robert West:
Causal Effects of Brevity on Style and Success in Social Media. - Brian L. Davis, Bryan S. Morse, Scott Cohen, Brian L. Price, Chris Tensmeyer:
Deep Visual Template-Free Form Parsing. - Michael Blondin, Mikhail A. Raskin:
The Complexity of Reachability in Affine Vector Addition Systems with States. - Xian Yeow Lee, Sambit Ghadai, Kai Liang Tan, Chinmay Hegde, Soumik Sarkar:
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents. - Gokul S. Sankar, Kyoungseok Han:
Adaptive Robust Game-Theoretic Decision Making for Autonomous Vehicles. - Alex Warstadt, Yu Cao, Ioana Grosu, Wei Peng, Hagen Blix, Yining Nie, Anna Alsop, Shikha Bordia, Haokun Liu, Alicia Parrish, Sheng-Fu Wang, Jason Phang, Anhad Mohananey, Phu Mon Htut, Paloma Jeretic, Samuel R. Bowman:
Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs. - Prashant Kumar, R. K. Ghosh:
Formal Methods and Event Notification Systems in Mobile Computing Environment. - Nitinder Mohan, Tanya Shreedhar, Aleksandr Zavodovski, Jussi Kangasharju, Sanjit K. Kaul:
Is two greater than one?: Analyzing Multipath TCP over Dual-LTE in the Wild. - Allen Riddell, Troy J. Bassett, Laura Schneider, Hannah Mills, Amy Yarnell, Rachel Condon, Joseph Bassett, Sara Duke:
Common Library 1.0: A Corpus of Victorian Novels Reflecting the Population in Terms of Publication Year and Author Gender. - Kameron Decker Harris:
Additive function approximation in the brain. - Binxuan Huang, Kathleen M. Carley:
Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks. - Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme:
Broad-Coverage Semantic Parsing as Transduction. - Alessandro Bravetti, Marcello Seri, Mats Vermeeren, Federico Zadra:
Numerical integration in celestial mechanics: a case for contact geometry. - Yi Li, Shaohua Wang, Tien N. Nguyen, Son Van Nguyen, Xinyue Ye, Yan Wang:
An Empirical Study on the Characteristics of Question-Answering Process on Developer Forums. - Ozan Ciga, Jianan Chen, Anne L. Martel:
Multi-layer Domain Adaptation for Deep Convolutional Networks. - Masato Hagiwara, Takumi Ito, Tatsuki Kuribayashi, Jun Suzuki, Kentaro Inui:
TEASPN: Framework and Protocol for Integrated Writing Assistance Environments. - Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer, Steffen Eger:
MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance. - An Xu, Zhouyuan Huo, Heng Huang:
Diversely Stale Parameters for Efficient Training of CNNs. - Trong Duc Nguyen, Ming-Hung Shih, Sai Sree Parvathaneni, Bojian Xu, Divesh Srivastava, Srikanta Tirthapura:
Random Sampling for Group-By Queries. - Aditya Gupta, Greg Durrett:
Effective Use of Transformer Networks for Entity Tracking. - Christine Utz, Martin Degeling, Sascha Fahl, Florian Schaub, Thorsten Holz:
(Un)informed Consent: Studying GDPR Consent Notices in the Field. - Jinsoo Choi, In So Kweon:
Deep Iterative Frame Interpolation for Full-frame Video Stabilization. - Vishal Abhishek, Vaibhav Srivastava:
On Epidemic Spreading under Mobility on Networks. - Henghui Ding, Xudong Jiang, Bing Shuai, Ai Qun Liu, Gang Wang:
Semantic Correlation Promoted Shape-Variant Context for Segmentation. - Zhou-Quan Wan, Shi-Xin Zhang:
Automatic Differentiation for Complex Valued SVD. - Lisa Fan, Marshall White, Eva Sharma, Ruisi Su, Prafulla Kumar Choubey, Ruihong Huang, Lu Wang:
In Plain Sight: Media Bias Through the Lens of Factual Reporting. - Brian Canty, Keith Paarporn, Philip N. Brown, Mahnoosh Alizadeh, Jason R. Marden:
The Impact of Complex and Informed Adversarial Behavior in Graphical Coordination Games. - Lindah Kotut, Timothy L. Stelter, Michael A. Horning, D. Scott McCrickard:
Willing Buyer, Willing Seller: Personal Data Trade as a Service. - Amir Erfan Eshratifar, David Eigen, Michael Gormish, Massoud Pedram:
Coarse2Fine: A Two-stage Training Method for Fine-grained Visual Classification. - Sai Qian Zhang, Qi Zhang, Jieyu Lin:
Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control. - Yu-Chih Huang, Yu-Jui Huang, Shih-Chun Lin:
Asymptotic Optimality in Byzantine Distributed Quickest Change Detection. - Thomas L. Athey, Joshua T. Vogelstein:
AutoGMM: Automatic Gaussian Mixture Modeling in Python. - Kunpeng Li, Yulun Zhang, Kai Li, Yuanyuan Li, Yun Fu:
Visual Semantic Reasoning for Image-Text Matching. - Stefano Massaroli, Michael Poli, Federico Califano, Angela Faragasso, Jinkyoo Park, Atsushi Yamashita, Hajime Asama:
Port-Hamiltonian Approach to Neural Network Training. - Keyu Nie, Zezhong Zhang, Ted Tao Yuan, Rong Song, Pauline Berry Burke:
Efficient Multivariate Bandit Algorithm with Path Planning. - Yuanhao Li, Badong Chen, Natsue Yoshimura, Yasuharu Koike:
Robust Logistic Regression against Attribute and Label Outliers via Information Theoretic Learning. - Dmitry A. Konovalov, Alzayat Saleh, Dina B. Efremova, Jose A. Domingos, Dean R. Jerry:
Automatic Weight Estimation of Harvested Fish from Images. - Jiaqi Zhang, Keyou You:
Decentralized Stochastic Gradient Tracking for Empirical Risk Minimization. - Weizhao Tang, Weina Wang, Giulia Fanti, Sewoong Oh:
Privacy-Utility Tradeoffs in Routing Cryptocurrency over Payment Channel Networks. - Mario Strydom, Artur Banach, Liao Wu, Ross Crawford, Jonathan Roberts, Anjali Tumkur Jaiprakash:
Real-time Joint Motion Analysis and Instrument Tracking for Robot-Assisted Orthopaedic Surgery. - Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka:
iFDK: A Scalable Framework for Instant High-resolution Image Reconstruction. - Guneet S. Dhillon, Pratik Chaudhari, Avinash Ravichandran, Stefano Soatto:
A Baseline for Few-Shot Image Classification. - Jiabao Gao, Xuemei Yi, Caijun Zhong, Xiaoming Chen, Zhaoyang Zhang:
Deep Learning for Spectrum Sensing. - (Withdrawn) An analog of the Sinc approximation for periodic functions.
- Janniele A. S. Araujo, Haroldo Gambini Santos, Bernard Gendron, Sanjay Dominik Jena, Samuel S. Brito, Danilo S. Souza:
Strong Bounds for Resource Constrained Project Scheduling: Preprocessing and Cutting Planes. - Shaofeng Li, Benjamin Zi Hao Zhao, Jiahao Yu, Minhui Xue, Dali Kaafar, Haojin Zhu:
Invisible Backdoor Attacks Against Deep Neural Networks. - Bin Bi, Chen Wu, Ming Yan, Wei Wang, Jiangnan Xia, Chenliang Li:
Incorporating External Knowledge into Machine Reading for Generative Question Answering. - Cheolhyeong Kim, Haeseong Moon, Hyung Ju Hwang:
NEAR: Neighborhood Edge AggregatoR for Graph Classification. - Kevin J. Shih, Aysegul Dundar, Animesh Garg, Robert Pottorf, Andrew Tao, Bryan Catanzaro:
Video Interpolation and Prediction with Unsupervised Landmarks. - Miguel Picallo, Saverio Bolognani, Florian Dörfler:
Closing the Loop: Dynamic State Estimation and Feedback Optimization of Power Grids. - Claudio Piciarelli, Pankaj Mishra, Gian Luca Foresti:
Image anomaly detection with capsule networks and imbalanced datasets. - Tao Shen, Xiubo Geng, Tao Qin, Guodong Long, Jing Jiang, Daxin Jiang:
Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering. - Deniz Cevher, Sebastian Zepf, Roman Klinger:
Towards Multimodal Emotion Recognition in German Speech Events in Cars using Transfer Learning. - Zhuoran Ji:
HNMTP Conv: Optimize Convolution Algorithm for Single-Image Convolution Neural Network Inference on Mobile GPUs. - Felix Hamborg, Corinna Breitinger, Bela Gipp:
Giveme5W1H: A Universal System for Extracting Main Events from News Articles. - Marius Köppel, Alexander Segner, Martin Wagener, Lukas Pensel, Andreas Karwath, Stefan Kramer:
Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysis and Practical Performance. - Lior Shani, Yonathan Efroni, Shie Mannor:
Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs. - Huyen T. T. Tran, Nam Pham Ngoc, Tobias Hoßfeld, Michael Seufert, Truong Cong Thang:
Cumulative Quality Modeling for HTTP Adaptive Streaming. - Kashif Rasul, Ingmar Schuster, Roland Vollgraf, Urs Bergmann:
Set Flow: A Permutation Invariant Normalizing Flow. - Hosein Rezaei, Seyed Amid Moeinzadeh, Azar Shahgholian, Mohamad Saraee:
Features in Extractive Supervised Single-document Summarization: Case of Persian News. - Jenna Claire Hammond, Joydeep Biswas, Arjun Guha:
Automatic Failure Recovery for End-User Programs on Service Mobile Robots. - Jorge Ramírez, Marcos Báez, Fabio Casati, Boualem Benatallah:
Understanding the Impact of Text Highlighting in Crowdsourcing Tasks. - Daegeon Kim, Huy Kang Kim:
Security Requirements of Commercial Drones for Public Authorities by Vulnerability Analysis of Applications. - Boi Faltings, Martin Charles Golumbic:
An Effective Upperbound on Treewidth Using Partial Fill-in of Separators. - Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao:
From Few to More: Large-scale Dynamic Multiagent Curriculum Learning. - Yuzhe Luo, Xin Yu:
An Automatic Debugging Tool of Instruction-Driven Multicore Systems with Synchronization Points. - Jorge Ramírez, Simone Degiacomi, Davide Zanella, Marcos Báez, Fabio Casati, Boualem Benatallah:
CrowdHub: Extending crowdsourcing platforms for the controlled evaluation of tasks designs. - Johannes Schneider, Michail Vlachos:
Mass Personalization of Deep Learning. - Takuya Mieno, Yuki Kuhara, Tooru Akagi, Yuta Fujishige, Yuto Nakashima, Shunsuke Inenaga, Hideo Bannai, Masayuki Takeda:
Minimal Unique Substrings and Minimal Absent Words in a Sliding Window. - Fabrizio Corda, Jean-Marc Thiery, Marco Livesu, Enrico Puppo, Tamy Boubekeur, Riccardo Scateni:
Real-time Deformation with Coupled Cages and Skeletons. - Tobias Bauer, Emre Devrim, Misha Glazunov, William Lopez Jaramillo, Balaganesh Mohan, Gerasimos Spanakis:
#MeTooMaastricht: Building a chatbot to assist survivors of sexual harassment. - Alejandro Javier García, Henry Prakken, Guillermo Ricardo Simari:
A Comparative Study of Some Central Notions of ASPIC+ and DeLP. - Palash Goyal, Di Huang, Sujit Rokka Chhetri, Arquimedes Canedo, Jaya Shree, Evan Patterson:
Graph Representation Ensemble Learning. - Snehal Sathwara, Nitul Dutta, Emil Pricop:
IoT Forensic - A digital investigation framework for IoT systems. - Minyoung Kim, Yuting Wang, Pritish Sahu, Vladimir Pavlovic:
Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement. - Wissam Siblini, Jordan Fréry, Liyun He-Guelton, Frédéric Oblé, Yi-Qing Wang:
Master your Metrics with Calibration. - Yeshwanth Napolean, Priadi Teguh Wibowo, Jan C. van Gemert:
Running Event Visualization using Videos from Multiple Cameras. - Joseph G. Wallwork, Paul D. Hovland, Hong Zhang, Oana Marin:
Computing Derivatives for PETSc Adjoint Solvers using Algorithmic Differentiation. - Titus Dose:
P≠NP and All Sets in NP∪coNP Have P-Optimal Proof Systems Relative to an Oracle. - Martin Pfeifer, Sven Caspart, Silja Pfeiffer, Charles Muller, Stefan Krebs, Sören Hohmann:
Automated Generation of Explicit Port-Hamiltonian Models from Multi-Bond Graphs. - Viet-Ha Nguyen, Kévin Perrot, Mathieu Vallet:
NP-completeness of the game Kingdomino. - Yoav Zuriel, Michal Friedman, Gali Sheffi, Nachshon Cohen, Erez Petrank:
Efficient Lock-Free Durable Sets. - Abraham Glasser:
Automatic Speech Recognition Services: Deaf and Hard-of-Hearing Usability. - Paula Czarnowska, Sebastian Ruder, Edouard Grave, Ryan Cotterell, Ann A. Copestake:
Don't Forget the Long Tail! A Comprehensive Analysis of Morphological Generalization in Bilingual Lexicon Induction. - Jue Wang, Anoop Cherian:
Discriminative Video Representation Learning Using Support Vector Classifiers. - Clara Vania, Yova Kementchedjhieva, Anders Søgaard, Adam Lopez:
A systematic comparison of methods for low-resource dependency parsing on genuinely low-resource languages. - Xuejing Liu, Liang Li, Shuhui Wang, Zheng-Jun Zha, Li Su, Qingming Huang:
Knowledge-guided Pairwise Reconstruction Network for Weakly Supervised Referring Expression Grounding. - Sneihil Gopal, Sanjit K. Kaul, Rakesh Chaturvedi, Sumit Roy:
Coexistence of Age and Throughput Optimizing Networks: Competition vs Cooperation. - Muhammad Samir Khan, Nitin H. Vaidya:
Asynchronous Byzantine Consensus on Undirected Graphs under Local Broadcast Model. - Stephan M. Günther, Nicolas Appel, Georg Carle:
Galois Field Arithmetics for Linear Network Coding using AVX512 Instruction Set Extensions. - Soumajyoti Sarkar, Paulo Shakarian, Mika Armenta, Danielle Sanchez, Kiran Lakkaraju:
Can social influence be exploited to compromise security: An online experimental evaluation. - Felix Ongati, Lawrence Muchemi:
Big Data Intelligence Using Distributed Deep Neural Networks. - Long Yang, Yu Zhang, Qian Zheng, Pengfei Li, Gang Pan:
Gradient Q(σ, λ): A Unified Algorithm with Function Approximation for Reinforcement Learning. - Andrés Carvallo, Denis Parra, Eduardo Graells-Garrido:
Analyzing Network Effects on a Fanfiction Community. - Fabrizio Genovese, Andre Knispel, Joshua Brian Fitzgerald:
Mapping finite state machines to zk-SNARKS Using Category Theory. - Xavier Antoine, François Fillion-Gourdeau, Emmanuel Lorin, Steve McLean:
Pseudospectral computational methods for the time-dependent Dirac equation in static curved spaces. - Zoltán András Lux, Felix Beierle, Sebastian Zickau, Sebastian Göndör:
Full-text Search for Verifiable Credential Metadata on Distributed Ledgers. - Jungwon Park, H. Jin Kim:
Fast Trajectory Planning for Multiple Quadrotors using Relative Safe Flight Corridor. - Lingbo Liu, Jiajie Zhen, Guanbin Li, Geng Zhan, Liang Lin:
ACFM: A Dynamic Spatial-Temporal Network for Traffic Prediction. - Zishuo Li, Yilin Mo, Fei Hao:
Game Theoretical Approach to Sequential Hypothesis Test with Byzantine Sensors. - Naveed Ul Hassan, Chau Yuen, Dusit Niyato:
Blockchain Technologies for Smart Energy Systems: Fundamentals, Challenges and Solutions. - Yiren Zhao, Ilia Shumailov, Han Cui, Xitong Gao, Robert D. Mullins, Ross J. Anderson:
Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information. - Georgios Bakirtzis, Brandon J. Simon, Aidan G. Collins, Cody H. Fleming, Carl R. Elks:
Data Driven Vulnerability Exploration for Design Phase System Analysis. - C. Yvanoff-Frenchin, Vitor Ramos, Tarek Belabed, Carlos Valderrama:
An Edge Computing Robot Experience for Automatic Elderly Mental Health Care Based on Voice. - Ruijie Wang, Meng Wang, Jun Liu, Michael Cochez, Stefan Decker:
Structured Query Construction via Knowledge Graph Embedding. - Antti Hietanen, Jyrki Latokartano, Roel Pieters, Minna Lanz, Joni-Kristian Kämäräinen:
AR-based interaction for safe human-robot collaborative manufacturing. - Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta:
Optimizing Generalized Rate Metrics through Game Equilibrium. - Mridul Agarwal, Vaneet Aggarwal:
A Reinforcement Learning Based Approach for Joint Multi-Agent Decision Making. - Sathwik Chadaga, Mridul Agarwal, Vaneet Aggarwal:
Encoders and Decoders for Quantum Expander Codes Using Machine Learning. - Douwe Kiela, Suvrat Bhooshan, Hamed Firooz, Davide Testuggine:
Supervised Multimodal Bitransformers for Classifying Images and Text. - Mike Thelwall:
Mendeley Reader Counts for US Computer Science Conference Papers and Journal articles. - Konstantinos Kogkalidis:
Extracting and Learning a Dependency-Enhanced Type Lexicon for Dutch. - Jinghao Zhou, Peng Wang, Haoyang Sun:
Discriminative and Robust Online Learning for Siamese Visual Tracking. - Florin Zamfir, Nicolae Paraschiv, Emil Pricop:
Real-time stock analysis for blending recipes in industrial plants. - Ehab ElSalamouny, Catuscia Palamidessi:
Full Convergence of the Iterative Bayesian Update and Applications to Mechanisms for Privacy Protection. - Abir De, Paramita Koley, Niloy Ganguly, Manuel Gomez-Rodriguez:
Regression Under Human Assistance. - Roxana Radulescu, Patrick Mannion, Diederik M. Roijers, Ann Nowé:
Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey. - Simon Keizer, Ondrej Dusek, Xingkun Liu, Verena Rieser:
User Evaluation of a Multi-dimensional Statistical Dialogue System. - Yousef Emam, Paul Glotfelter, Magnus Egerstedt:
Robust Barrier Functions for a Fully Autonomous, Remotely Accessible Swarm-Robotics Testbed. - Zhiwen Shao, Hengliang Zhu, Junshu Tang, Xuequan Lu, Lizhuang Ma:
Explicit Facial Expression Transfer via Fine-Grained Semantic Representations. - Matthias Boehm, Iulian Antonov, Mark Dokter, Robert Ginthör, Kevin Innerebner, Florijan Klezin, Stefanie N. Lindstaedt, Arnab Phani, Benjamin Rath:
SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle. - Chi Thang Duong, Hongzhi Yin, Thanh Dat Hoang, Truong Giang Le Ba, Matthias Weidlich, Quoc Viet Hung Nguyen, Karl Aberer:
Parallel Computation of Graph Embeddings. - Theo Jaunet, Romain Vuillemot, Christian Wolf:
DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning. - Aryaman Gupta, Ulrik Günther, Pietro Incardona, Ata Deniz Aydin, Raimund Dachselt, Stefan Gumhold, Ivo F. Sbalzarini:
A Proposed Framework for Interactive Virtual Reality In Situ Visualization of Parallel Numerical Simulations. - Anna Eiberger, Per Ola Kristensson, Susanne Mayr, Matthias Kranz, Jens Grubert:
Effects of Depth Layer Switching between an Optical See-Through Head-Mounted Display and a Body-Proximate Display. - Maxim A. Olshanskii, Arnold Reusken, Alexander Zhiliakov:
Inf-sup stability of the trace P2-P1 Taylor-Hood elements for surface PDEs. - Luis J. Manso, Pedro Núñez, Luis V. Calderita, Diego R. Faria, Pilar Bachiller:
SocNav1: A Dataset to Benchmark and Learn Social Navigation Conventions. - Tino Werner:
A review on ranking problems in statistical learning. - Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith:
Show Your Work: Improved Reporting of Experimental Results. - Konstantinos Pitas:
Better PAC-Bayes Bounds for Deep Neural Networks using the Loss Curvature. - Jesse Dodge, Roy Schwartz, Hao Peng, Noah A. Smith:
RNN Architecture Learning with Sparse Regularization. - Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang:
One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques. - Xiaoqian Wang, Heng Huang:
Approaching Machine Learning Fairness through Adversarial Network. - Xingyu Zhao, Matthew Osborne, Jenny Lantair, Valentin Robu, David Flynn, Xiaowei Huang, Michael Fisher, Fabio Papacchini, Angelo Ferrando:
Towards Integrating Formal Verification of Autonomous Robots with Battery Prognostics and Health Management. - Luca Lugini, Diane J. Litman:
Argument Component Classification for Classroom Discussions. - Luca Lugini, Diane J. Litman, Amanda Godley, Christopher Olshefski:
Annotating Student Talk in Text-based Classroom Discussions. - Jonas Traub, Jorge-Arnulfo Quiané-Ruiz, Zoi Kaoudi, Volker Markl:
Agora: Towards An Open Ecosystem for Democratizing Data Science & Artificial Intelligence. - Dinesh Samuel Sathia Raj, Vijayakumar Varadharajan, Bharat S. Rawal, Longzhi Yang:
Analysis of Big Data Technology for Health Care Services. - Xizi Wei, Melvyn Hunt, Adrian Skilling:
Neural Network-Based Modeling of Phonetic Durations. - Dustin Tanksley, Donald C. Wunsch II:
Reproducibility via Crowdsourced Reverse Engineering: A Neural Network Case Study With DeepMind's Alpha Zero. - Michael W. Mahoney:
The Difficulties of Addressing Interdisciplinary Challenges at the Foundations of Data Science. - Rasmus Adler, Mohammed Naveed Akram, Pascal Bauer, Patrik Feth, Pascal Gerber, Andreas Jedlitschka, Lisa Jöckel, Michael Kläs, Daniel Schneider:
Hardening of Artificial Neural Networks for Use in Safety-Critical Applications - A Mapping Study. - Jonas Kemp, Alvin Rajkomar, Andrew M. Dai:
Improved Patient Classification with Language Model Pretraining Over Clinical Notes. - Maksim Jenihhin, Matteo Sonza Reorda, Aneesh Balakrishnan, Dan Alexandrescu:
Challenges of Reliability Assessment and Enhancement in Autonomous Systems. - Nicholas Charles Patterson, Rolando Trujillo-Rasua, Michael Hobbs, Guy Wood-Bradley, Judy Currey, Elicia Lanham:
Chunked Lectures: A new model for conducting online lectures within Information Technology higher education. - Tongfei Chen, Zhengping Jiang, Keisuke Sakaguchi, Benjamin Van Durme:
Uncertain Natural Language Inference. - Qingyu Chen, Jingcheng Du, Sun Kim, W. John Wilbur, Zhiyong Lu:
Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records. - Ziyuan Zhang, Luan Tran, Feng Liu, Xiaoming Liu:
On Learning Disentangled Representations for Gait Recognition. - Luca Crociani, Giuseppe Vizzari, Stefania Bandini:
Calibrating Wayfinding Decisions in Pedestrian Simulation Models: The Entropy Map. - Matteo Turilli, André Merzky, Thomas J. Naughton, Wael R. Elwasif, Shantenu Jha:
Characterizing the Performance of Executing Many-tasks on Summit. - Mohsen Mohammadkhani Razlighi, Nikola Zlatanov, Petar Popovski:
Dynamic Time-Frequency Division Duplex. - Trung V. Phan, Mehrdad Hajizadeh, Nguyen Tuan Khai, Thomas Bauschert:
Destination-aware Adaptive Traffic Flow Rule Aggregation in Software-Defined Networks. - Ben Zhou, Daniel Khashabi, Qiang Ning, Dan Roth:
"Going on a vacation" takes longer than "Going for a walk": A Study of Temporal Commonsense Understanding. - MohamadAli Torkamani, Shiv Shankar, Amirmohammad Rooshenas, Phillip Wallis:
Differential Equation Units: Learning Functional Forms of Activation Functions from Data. - Zainab Alalawi, Yifeng Zeng, The Anh Han, Aiman Elragig:
Modelling Cooperation in a Dynamic Healthcare System. - Yichao Zhou, Jyun-Yu Jiang, Kai-Wei Chang, Wei Wang:
Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification. - Margaret Li, Jason Weston, Stephen Roller:
ACUTE-EVAL: Improved Dialogue Evaluation with Optimized Questions and Multi-turn Comparisons. - Michael Cerny Green, Ahmed Khalifa, Gabriella A. B. Barros, Tiago Machado, Julian Togelius:
Automatic Critical Mechanic Discovery in Video Games. - Sathyanarayanan N. Aakur, Sudeep Sarkar:
Abductive Reasoning as Self-Supervision for Common Sense Question Answering. - Niloofar Safi Samghabadi, Afsheen Hatami, Mahsa Shafaei, Sudipta Kar, Thamar Solorio:
Attending the Emotions to Detect Online Abusive Language. - Xingtong Liu, Ayushi Sinha, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Mathias Unberath:
Self-supervised Dense 3D Reconstruction from Monocular Endoscopic Video. - Rachel Gehlhar, Jenna Reher, Aaron D. Ames:
Control of Separable Subsystems with Application to Prostheses. - Nada AlMarwani, Hanan Aldarmaki, Mona T. Diab:
Efficient Sentence Embedding using Discrete Cosine Transform. - Joseph Spitzer, Joydeep Biswas, Arjun Guha:
Making High-Performance Robots Safe and Easy to Use for an Introduction to Computing. - Omar S. Navarro Leija, Alan Jeffrey:
Lightweight Record-and-Replay for Intermittent Tests Failures. - Jianjun Yuan, Andrew G. Lamperski:
Trading-Off Static and Dynamic Regret in Online Least-Squares and Beyond. - Sergio López-Ureña:
A Harten's Multiresolution Framework for Subdivision Schemes. - Lalith Suresh, João Loff, Faria Kalim, Nina Narodytska, Leonid Ryzhyk, Sahan Gamage, Brian Oki, Zeeshan Lokhandwala, Mukesh Hira, Mooly Sagiv:
Automating Cluster Management with Weave. - James Bremer:
A quasilinear complexity algorithm for the numerical simulation of scattering from a two-dimensional radially symmetric potential. - Andrey Kutuzov, Elizaveta Kuzmenko:
To lemmatize or not to lemmatize: how word normalisation affects ELMo performance in word sense disambiguation. - Dan Xu, Weidi Xie, Andrew Zisserman:
Geometry-Aware Video Object Detection for Static Cameras. - Henrique S. Vieira, Ely Carneiro de Paiva, Sergio K. Moriguchi, José Reginaldo Hughes Carvalho:
Unified Backstepping Sliding Mode Framework for Airship Control Design. - Hung Phan:
Self Learning from Large Scale Code Corpus to Infer Structure of Method Invocations. - Emanuele Bugliarello, Naoaki Okazaki:
Improving Neural Machine Translation with Parent-Scaled Self-Attention. - Abu Reyan Ahmed, Greg Bodwin, Faryad Darabi Sahneh, Keaton Hamm, Mohammad Javad Latifi Jebelli, Stephen G. Kobourov, Richard Spence:
Graph Spanners: A Tutorial Review. - Michael D. Paskett, Nathaniel R. Olsen, Jacob A. George, David T. Kluger, Mark R. Brinton, Tyler S. Davis, Christopher C. Duncan, Gregory A. Clark:
A Modular Transradial Bypass Socket for Surface Myoelectric Prosthetic Control in Non-Amputees. - Aditya Anand, Palash Dey:
Stable Manipulation in Voting. - Vivek Gupta, Pegah Nokhiz, Chitradeep Dutta Roy, Suresh Venkatasubramanian:
Equalizing Recourse across Groups. - Rohan Achar, Pritha Dawn, Cristina V. Lopes:
GoTcha: An Interactive Debugger for GoT-Based Distributed Systems. - Fawaz Sammani, Mahmoud Elsayed:
Look and Modify: Modification Networks for Image Captioning. - Mo Zhou, Tianyi Liu, Yan Li, Dachao Lin, Enlu Zhou, Tuo Zhao:
Towards Understanding the Importance of Noise in Training Neural Networks. - Parinyawat Choosuwan, Somphong Jitman:
Self-Dual Linear Codes over Fq+uFq+u2Fq and Their Applications in the Study of Quasi-Abelian Codes. - Jin-Yi Cai, Artem Govorov:
Perfect Matchings, Rank of Connection Tensors and Graph Homomorphisms. - Shen Wang, Ahmad F. Taha, Nikolaos Gatsis, Marcio Giacomoni:
Receding Horizon Control for Drinking Water Networks: The Case for Geometric Programming. - Shen Wang, Ahmad F. Taha, Lina Sela, Nikolaos Gatsis, Marcio H. Giacomoni:
State Estimation in Water Distribution Networks through a New Successive Linear Approximation. - Kaixiong Zhou, Qingquan Song, Xiao Huang, Xia Hu:
Auto-GNN: Neural Architecture Search of Graph Neural Networks. - Sandeep Subramanian, Raymond Li, Jonathan Pilault, Christopher J. Pal:
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models. - Ti Xu, Hanyue Li, Adam B. Birchfield, Thomas J. Overbye:
Synthesize Phasor Measurement Unit Data Using Large-Scale Electric Network Models. - Liang Yao, Chengsheng Mao, Yuan Luo:
KG-BERT: BERT for Knowledge Graph Completion. - Wenbo Ren, Jia Liu, Ness B. Shroff:
On Sample Complexity Upper and Lower Bounds for Exact Ranking from Noisy Comparisons. - Wenjie Shi, Shiji Song, Cheng Wu:
Soft Policy Gradient Method for Maximum Entropy Deep Reinforcement Learning. - Wonsup Shin, Hyolim Kang, Sunghoon Hong:
Mature GAIL: Imitation Learning for Low-level and High-dimensional Input using Global Encoder and Cost Transformation. - Wenjie Shi, Shiji Song, Cheng Wu, C. L. Philip Chen:
Multi Pseudo Q-learning Based Deterministic Policy Gradient for Tracking Control of Autonomous Underwater Vehicles. - Mark Sandler, Jonathan Baccash, Andrey Zhmoginov, Andrew Howard:
Non-discriminative data or weak model? On the relative importance of data and model resolution. - Ying Wei, Peilin Zhao, Huaxiu Yao, Junzhou Huang:
Transferable Neural Processes for Hyperparameter Optimization. - Kousha Etessami, Christos H. Papadimitriou, Aviad Rubinstein, Mihalis Yannakakis:
Tarski's Theorem, Supermodular Games, and the Complexity of Equilibria. - Deli Chen, Yankai Lin, Wei Li, Peng Li, Jie Zhou, Xu Sun:
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View. - Praneet Dutta, Man Kit Cheuk, Jonathan S. Kim, Massimo Mascaro:
AutoML for Contextual Bandits. - Yu-Ping Wang, Zi-Xin Zou, Xu-Qiang Hu, Dinesh Manocha, Lei Qiao, Shi-Min Hu:
OptSample: A Resilient Buffer Management Policy for Robotic Systems based on Optimal Message Sampling. - Tong Niu, Caiming Xiong, Richard Socher:
Deleter: Leveraging BERT to Perform Unsupervised Successive Text Compression. - Zhepei Wei, Jianlin Su, Yue Wang, Yuan Tian, Yi Chang:
A Novel Hierarchical Binary Tagging Framework for Joint Extraction of Entities and Relations. - Yu He, Yangqiu Song, Jianxin Li, Cheng Ji, Jian Peng, Hao Peng:
HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding. - Tiziano De Matteis, Johannes de Fine Licht, Jakub Beránek, Torsten Hoefler:
Streaming Message Interface: High-Performance Distributed Memory Programming on Reconfigurable Hardware. - Gongwei Chen, Xinhang Song, Haitao Zeng, Shuqiang Jiang:
Scene Recognition with Prototype-agnostic Scene Layout. - Isabelle Augenstein, Christina Lioma, Dongsheng Wang, Lucas Chaves Lima, Casper Hansen, Christian Hansen, Jakob Grue Simonsen:
MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims. - Wenjie Shi, Shiji Song, Hui Wu, Ya-Chu Hsu, Cheng Wu, Gao Huang:
Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning. - Victor Mitrana, Mihaela Paun, José Ángel Sánchez Martín, José-Ramón Sánchez-Couso:
{Networks of Uniform Splicing Processors. - Mohammad Imranur Rahman, Sebastiano Panichella, Davide Taibi:
A curated Dataset of Microservices-Based Systems. - Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan:
Graph Convolutional Networks for Temporal Action Localization. - Omri Ben-Eliezer, Eldar Fischer, Amit Levi, Ron D. Rothblum:
Hard properties with (very) short PCPPs and their applications. - Jingwen Fu, Xiaoyan Zhu, Yingbin Li:
Recognition Of Surface Defects On Steel Sheet Using Transfer Learning. - Riccardo Volpato, Guangyan Song:
Active learning to optimise time-expensive algorithm selection. - Eric Goubault, Marijana Lazic, Jérémy Ledent, Sergio Rajsbaum:
A dynamic epistemic logic analysis of the equality negation task. - Anant A. Joshi, Kamesh Subbarao:
Uncertainty Quantification And Analysis Of Dynamical Systems With Invariants. - Renato Budinich, Gerlind Plonka:
A Tree-based Dictionary Learning Framework. - Beixiong Zheng, Rui Zhang:
Intelligent Reflecting Surface-Enhanced OFDM: Channel Estimation and Reflection Optimization. - Weiyu Cheng, Yanyan Shen, Linpeng Huang:
Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions. - Chunchuan Lyu, Shay B. Cohen, Ivan Titov:
Semantic Role Labeling with Iterative Structure Refinement. - Davide Bacciu, Luigi Di Sotto:
A Non-Negative Factorization approach to node pooling in Graph Convolutional Neural Networks. - Martin Sulzmann, Kai Stadtmüller:
Predicting All Data Race Pairs for a Specific Schedule (extended version). - Lav R. Varshney, Nitish Shirish Keskar, Richard Socher:
Pretrained AI Models: Performativity, Mobility, and Change. - Christian Duta, Denis Hirn, Torsten Grust:
Compiling PL/SQL Away. - Prabhat Kumar, Jan S. Frouws, Matthijs Langelaar:
Topology Optimization of Fluidic Pressure Loaded Structures and Compliant Mechanisms using the Darcy Method. - Ege Korkan, Hassib Belhaj Hassine, Verena Eileen Schlott, Sebastian Käbisch, Sebastian Steinhorst:
WoTify: A platform to bring Web of Things to your devices. - Hassib Belhaj Hassine, Ege Korkan, Sebastian Steinhorst:
Virtual-Thing: Thing Description based Virtualization. - Barry Gilhuly, Stephen L. Smith:
Robotic Coverage for Continuous Mapping Ahead of a Moving Vehicle. - Massimiliano Lupo Pasini, Junqi Yin, Ying Wai Li, Markus Eisenbach:
A greedy constructive algorithm for the optimization of neural network architectures. - Gagan Kanojia, Sudhakar Kumawat, Shanmuganathan Raman:
Exploring Temporal Differences in 3D Convolutional Neural Networks. - John-Paul Robinson, Thomas Anthony, Ravi Tripathi, Sara A. Sims, Kristina M. Visscher, Purushotham V. Bangalore:
Analyzing the HCP Datasets using GPUs: The Anatomy of a Science Engagement. - Martin Andrews, Sam Witteveen:
Relationships from Entity Stream. - Sam Davidson, Dian Yu, Zhou Yu:
Dependency Parsing for Spoken Dialog Systems. - Avrim Blum, Nika Haghtalab, MohammadTaghi Hajiaghayi, Saeed Seddighin:
Computing Stackelberg Equilibria of Large General-Sum Games. - Sneha Kamath:
Demand Private Coded Caching. - James H. Davenport:
Formal Methods and CyberSecurity. - Dmitri Kuzmin, Manuel Quezada de Luna:
Subcell flux limiting for high-order Bernstein finite element discretizations of scalar hyperbolic conservation laws. - Fan-Keng Sun, Cheng-Hao Ho, Hung-Yi Lee:
LAMAL: LAnguage Modeling Is All You Need for Lifelong Language Learning. - Zhi Yan, Li Sun, Tomás Krajník, Yassine Ruichek:
EU Long-term Dataset with Multiple Sensors for Autonomous Driving. - Georgios Papagiannis, Sotiris Moschoyiannis:
Deep Reinforcement Learning for Control of Probabilistic Boolean Networks. - Zenon Gniazdowski, Dawid Kaliszewski:
On the clustering of correlated random variables. - Uyeong Jang, Susmit Jha, Somesh Jha:
On Need for Topology Awareness of Generative Models. - Kévin Perrot:
On the complexity of counting feedback arc sets. - Changhan Wang, Kyunghyun Cho, Jiatao Gu:
Neural Machine Translation with Byte-Level Subwords. - Jun He, Thomas Jansen, Christine Zarges:
Unlimited Budget Analysis of Randomised Search Heuristics. - Jack Merullo, Luke Yeh, Abram Handler, Alvin Grissom II, Brendan O'Connor, Mohit Iyyer:
Investigating Sports Commentator Bias within a Large Corpus of American Football Broadcasts. - K. R. Jayaram:
Elastic Remote Methods. - Saba Ahmadi, Faez Ahmed, John P. Dickerson, Mark D. Fuge, Samir Khuller:
Algorithms for Optimal Diverse Matching. - Van Truong Hoang, Manh Duong Phung, Tran Hiep Dinh, Qiuchen Zhu, Quang Phuc Ha:
Reconfigurable Multi-UAV Formation Using Angle-Encoded PSO. - Jérôme Rony, Soufiane Belharbi, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
Deep weakly-supervised learning methods for classification and localization in histology images: a survey. - Jinao Zhang, Sunita Chauhan:
Fast explicit dynamics finite element algorithm for transient heat transfer. - Gurbinder Gill, Roshan Dathathri, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Olli Saarikivi:
Distributed Word2Vec using Graph Analytics Frameworks. - Yunlong Yu, Zhongfei Zhang, Jungong Han:
Meta-Transfer Networks for Zero-Shot Learning. - Yudi Chen, Qi Wang, Wenying Ji:
Assessing Disaster Impacts on Highways Using Social Media: Case Study of Hurricane Harvey. - Jinao Zhang, Yongmin Zhong, Chengfan Gu:
Deformable Models for Surgical Simulation: A Survey. - Yue Zhang, Jian Weng, Jiasi Weng, Ming Li, Weiqi Luo:
Onionchain: Towards Balancing Privacy and Traceability of Blockchain-Based Applications. - John Hewitt, Percy Liang:
Designing and Interpreting Probes with Control Tasks. - Ryo Suzuki, Clement Zheng, Yasuaki Kakehi, Tom Yeh, Ellen Yi-Luen Do, Mark D. Gross, Daniel Leithinger:
ShapeBots: Shape-changing Swarm Robots. - Dong Li, Bo Ouyang, Duanpo Wu, Yaonan Wang:
Artificial intelligence empowered multi-AGVs in manufacturing systems. - Kai Guo, Seongwook Song, Tae-ui Kim, Seungmin Han, Soonkeun Chang:
Robust Full-FoV Depth Estimation in Tele-wide Camera System. - Tong Xiao, Xiaojun Qiu, Benjamin J. Halkon:
Ultra-broadband active noise cancellation at the ears via optical microphones. - Xin Zhong, Frank Y. Shih, Xiwang Guo:
Automatic Image Pixel Clustering based on Mussels Wandering Optimiz. - Caixia Liang, Bo Zhou, Haiyan Guo:
Minimum status, matching and domination of graphs. - Keith Paarporn, Rahul Chandan, Mahnoosh Alizadeh, Jason R. Marden:
Characterizing the interplay between information and strength in Blotto games. - Hokchhay Tann, Heng Zhao, Sherief Reda:
A Resource-Efficient Embedded Iris Recognition System Using Fully Convolutional Networks. - Yilun Xu, Peng Cao, Yuqing Kong, Yizhou Wang:
L_DMI: An Information-theoretic Noise-robust Loss Function. - Noah Fleming, Yuichi Yoshida:
Distribution-Free Testing of Linear Functions on R^n. - Sajad Daei, Farzan Haddadi, Arash Amini:
Living near the edge: A lower-bound on the phase transition of total variation minimization. - Shadi Mohagheghi, Pushkarini Agharkar, Noah E. Friedkin, Francesco Bullo:
Multi-group connectivity structures and their implications. - Tomer Levinboim, Ashish V. Thapliyal, Piyush Sharma, Radu Soricut:
Quality Estimation for Image Captions Based on Large-scale Human Evaluations. - Zilong Zhong, Zhong Qiu Lin, Rene Bidart, Xiaodan Hu, Ibrahim Ben Daya, Jonathan Li, Alexander Wong:
Squeeze-and-Attention Networks for Semantic Segmentation. - Ziwei Liu, Zhongqi Miao, Xingang Pan, Xiaohang Zhan, Stella X. Yu, Dahua Lin, Boqing Gong:
Compound Domain Adaptation in an Open World. - Martin Atzmueller, Çiçek Güven, Dietmar Seipel:
Towards Generating Explanations for ASP-Based Link Analysis using Declarative Program Transformations. - Xingyi Cheng, Weidi Xu, Kunlong Chen, Wei Wang, Bin Bi, Ming Yan, Chen Wu, Luo Si, Wei Chu, Taifeng Wang:
Symmetric Regularization based BERT for Pair-wise Semantic Reasoning. - Bin Guo, Hao Wang, Yasan Ding, Shaoyang Hao, Yueqi Sun, Zhiwen Yu:
c-TextGen: Conditional Text Generation for Harmonious Human-Machine Interaction. - Avik Pal, Aniket Das:
TorchGAN: A Flexible Framework for GAN Training and Evaluation. - Xugang Wu, Xiaoping Wang, Xu Zhou, Songlei Jian:
STA: Adversarial Attacks on Siamese Trackers. - Martin E. Dyer, Mark Jerrum, Haiko Müller, Kristina Vuskovic:
Counting weighted independent sets beyond the permanent. - Yidan Hu, Gongqi Lin, Yuan Miao, Chunyan Miao:
Commonsense Knowledge + BERT for Level 2 Reading Comprehension Ability Test. - Abdulkadir Çelikkanat, Fragkiskos D. Malliaros:
Kernel Node Embeddings. - Gil Fidel, Ron Bitton, Asaf Shabtai:
When Explainability Meets Adversarial Learning: Detecting Adversarial Examples using SHAP Signatures. - Uriel Feige, Shimon Kogan:
Target Set Selection for Conservative Populations. - Mingming Zhang, Xingxing Zuo, Yiming Chen, Mingyang Li:
Localization for Ground Robots: On Manifold Representation, Integration, Re-Parameterization, and Optimization. - Shu Liu, Ivan Tjuawinata, Chaoping Xing:
Explicit Constructions of Two-Dimensional Reed-Solomon Codes in High Insertion and Deletion Noise Regime. - Yehuda Afek, Itay Harel, Amit Jacob Fanani, Moshe Sulamy:
Consensus in Equilibrium: Can One Against All Decide Fairly? - Che-Ping Tsai, Hung-yi Lee:
Order-free Learning Alleviating Exposure Bias in Multi-label Classification. - Pierre-Louis Giscard, Stefano Pozza:
Lanczos-like method for the time-ordered exponential. - Sourabh Balgi, Ambedkar Dukkipati:
CUDA: Contradistinguisher for Unsupervised Domain Adaptation. - Shuo Zhang, Krisztian Balog:
Auto-completion for Data Cells in Relational Tables. - Shuaiyi Huang, Qiuyue Wang, Songyang Zhang, Shipeng Yan, Xuming He:
Dynamic Context Correspondence Network for Semantic Alignment. - Shiri Chechik, Tianyi Zhang:
Fully Dynamic Maximal Independent Set in Expected Poly-Log Update Time. - Duan-Shin Lee, Cheng-Shang Chang, Miao Zhu, Hung-Chih Li:
A Generalized Configuration Model with Degree Correlations and Its Percolation Analysis. - Borui Wang, Ehsan Adeli, Hsu-Kuang Chiu, De-An Huang, Juan Carlos Niebles:
Imitation Learning for Human Pose Prediction. - Tin Lai, Philippe Morere, Fabio Ramos, Gilad Francis:
Local Sampling-based Planning with Sequential Bayesian Updates. - Valentin Barrière, Amaury Fouret:
May I Check Again? - A simple but efficient way to generate and use contextual dictionaries for Named Entity Recognition. Application to French Legal Texts. - Michael Dumbser, Francesco Fambri, Elena Gaburro:
On GLM curl cleaning for a first order reduction of the CCZ4 formulation of the Einstein field equations. - Xiaoyu Li, Bo Zhang, Pedro V. Sander, Jing Liao:
Blind Geometric Distortion Correction on Images Through Deep Learning. - Gabriel Ryan, Abhishek Shah, Dongdong She, Koustubha Bhat, Suman Jana:
Fine Grained Dataflow Tracking with Proximal Gradients. - Muhammad Usman Khalid, Janik M. Hager, Werner Kraus, Marco F. Huber, Marc Toussaint:
Deep Workpiece Region Segmentation for Bin Picking. - Johannes Bjerva, Wouter M. Kouw, Isabelle Augenstein:
Back to the Future - Sequential Alignment of Text Representations. - Muhammad Usman Khalid, Jie Yu:
Multi-Modal Three-Stream Network for Action Recognition. - Qi Zhang, Tao Du:
Self-driving scale car trained by Deep reinforcement Learning. - Pierre Blanchard, Desmond J. Higham, Nicholas J. Higham:
Accurate Computation of the Log-Sum-Exp and Softmax Functions. - Moshe BenBassat:
Disease Labeling via Machine Learning is NOT quite the same as Medical Diagnosis. - Stefan Saftescu, Paul Newman:
Learning Geometrically Consistent Mesh Corrections. - Vivek Mange, Priyam Shah, Vishal Kothari:
Autonomous Underwater Vehicle: Electronics and Software Implementation of the Proton AUV. - Danny Weyns, Flávio Oquendo:
An Architectural Style for Self-Adaptive Multi-Agent Systems. - Chen Zhang, Qiuchi Li, Dawei Song:
Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks. - Soheil Behnezhad, Mahsa Derakhshan, MohammadTaghi Hajiaghayi, Cliff Stein, Madhu Sudan:
Fully Dynamic Maximal Independent Set with Polylogarithmic Update Time. - Prithviraj Ammanabrolu, Ethan Tien, Wesley Cheung, Zhaochen Luo, William Ma, Lara J. Martin, Mark O. Riedl:
Story Realization: Expanding Plot Events into Sentences. - Narges Mirehi, Maryam Tahmasbi, Alireza Tavakoli Targhi:
New Graph-based Features For Shape Recognition. - Yaoli Mao, Dakuo Wang, Michael J. Muller, Kush R. Varshney, Ioana Baldini, Casey Dugan, Aleksandra Mojsilovic:
How Data Scientists Work Together With Domain Experts in Scientific Collaborations: To Find The Right Answer Or To Ask The Right Question? - Evgeny V. Tsykunov, Luiza Labazanova, Akerke Tleugazy, Dzmitry Tsetserukou:
SwarmTouch: Tactile Interaction of Human with Impedance Controlled Swarm of Nano-Quadrotors. - Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A. Plummer:
MULE: Multimodal Universal Language Embedding. - Yaqin Zhou, Shangqing Liu, Jing Kai Siow, Xiaoning Du, Yang Liu:
Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks. - Robert Altmann, Roland Maier, Benjamin Unger:
Semi-explicit discretization schemes for weakly-coupled elliptic-parabolic problems. - Zhining Liu, Wei Cao, Zhifeng Gao, Jiang Bian, Hechang Chen, Yi Chang, Tie-Yan Liu:
Self-paced Ensemble for Highly Imbalanced Massive Data Classification. - Sumit Kumar Banshal, Vivek Kumar Singh, Pranab K. Muhuri, Philipp Mayr:
How much research output from India gets social media attention? - Yew Ken Chia, Sam Witteveen, Martin Andrews:
Transformer to CNN: Label-scarce distillation for efficient text classification. - Haifeng Zhang, Weizhe Chen, Zeren Huang, Minne Li, Yaodong Yang, Weinan Zhang, Jun Wang:
Bi-level Actor-Critic for Multi-agent Coordination. - Xia Liang, Junmin Wu, Jing Cao:
MIDI-Sandwich2: RNN-based Hierarchical Multi-modal Fusion Generation VAE networks for multi-track symbolic music generation. - Michael J. Coblenz, Reed Oei, Tyler Etzel, Paulette Koronkevich, Miles Baker, Yannick Bloem, Brad A. Myers, Joshua Sunshine, Jonathan Aldrich:
Obsidian: Typestate and Assets for Safer Blockchain Programming. - Linzi Xing, Michael J. Paul, Giuseppe Carenini:
Evaluating Topic Quality with Posterior Variability. - Chiyu Zhang, Muhammad Abdul-Mageed:
Multi-Task Bidirectional Transformer Representations for Irony Detection. - Danish Contractor, Krunal Shah, Aditi Partap, Mausam, Parag Singla:
Large Scale Question Answering using Tourism Data. - Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang:
Generating Reliable Friends via Adversarial Training to Improve Social Recommendation. - Narges Mirehi, Maryam Tahmasbi:
A New GNG Graph-Based Hand Gesture Recognition Approach. - Peng Liao, Kristjan H. Greenewald, Predrag V. Klasnja, Susan A. Murphy:
Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity. - Jessica Su, Krishna Kamath, Aneesh Sharma, Johan Ugander, Sharad Goel:
An Experimental Study of Structural Diversity in Social Networks. - Milan Straka, Jana Straková, Jan Hajic:
Czech Text Processing with Contextual Embeddings: POS Tagging, Lemmatization, Parsing and NER. - David Wadden, Ulme Wennberg, Yi Luan, Hannaneh Hajishirzi:
Entity, Relation, and Event Extraction with Contextualized Span Representations. - Mark Braverman, Gillat Kol, Shay Moran, Raghuvansh R. Saxena:
Convex Set Disjointness, Distributed Learning of Halfspaces, and LP Feasibility. - Elad Hazan:
Lecture Notes: Optimization for Machine Learning. - Osama T. Ibrahim, Walid Gomaa, Moustafa Youssef:
Zero-Calibration Device-free Localization for the IoT based on Participatory Sensing. - Xin Liu, Seyran Khademi, Jan C. van Gemert:
Cross Domain Image Matching in Presence of Outliers. - Oyvind Tafjord, Matt Gardner, Kevin Lin, Peter Clark:
QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions. - Maciej Pawlik, Kamil Figiela, Maciej Malawski:
Performance considerations on execution of large scale workflow applications on cloud functions. - Bing Wang, Changhao Chen, Chris Xiaoxuan Lu, Peijun Zhao, Niki Trigoni, Andrew Markham:
AtLoc: Attention Guided Camera Localization. - Espen Sande, Carla Manni, Hendrik Speleers:
Explicit error estimates for spline approximation of arbitrary smoothness in isogeometric analysis. - Anthony D. Rhodes:
Evolving Order and Chaos: Comparing Particle Swarm Optimization and Genetic Algorithms for Global Coordination of Cellular Automata. - Mudassir Shabbir, Waseem Abbas, Ahmet Yasin Yazicioglu:
On Computation of the Distance-based Bound on Strong Structural Controllability in Networks. - Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Siddharth Suri, Ece Kamar:
What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring. - Prince Zizhuang Wang, William Yang Wang:
Neural Gaussian Copula for Variational Autoencoder. - Leandro Ungari Cayres, Bruno Santos de Lima, Rogério Eduardo Garcia:
A Systematic Review on Learning and Suggesting Source Code Changes in Version History. - Diego Zabaljauregui:
A fixed-point policy-iteration-type algorithm for symmetric nonzero-sum stochastic impulse games. - Amirali Sanatinia, Jeman Park, Erik-Oliver Blass, Aziz Mohaisen, Guevara Noubir:
A Privacy-Preserving Longevity Study of Tor's Hidden Services. - Christopher Jung, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, Moshe Shenfeld:
A New Analysis of Differential Privacy's Generalization Guarantees. - Athanasios N. Nikolakopoulos, George Karypis:
Boosting Item-based Collaborative Filtering via Nearly Uncoupled Random Walks. - Yucai Bai, Giang Dai, Long Chen:
Extreme Low Resolution Activity Recognition with Spatial-Temporal Attention Transfer. - Peng Xu, Chien-Sheng Wu, Andrea Madotto, Pascale Fung:
Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning. - Kazuto Ichimaru, Yuichi Taguchi, Hiroshi Kawasaki:
Unified Underwater Structure-from-Motion. - Dylan A. Shell, Jason M. O'Kane:
Reality as a simulation of reality: robot illusions, fundamental limits, and a physical demonstration. - Jingyu Shao, Qing Wang, Fangbing Liu:
Learning to Sample: an Active Learning Framework. - Xianggen Liu, Lili Mou, Fandong Meng, Hao Zhou, Jie Zhou, Sen Song:
Unsupervised Paraphrasing by Simulated Annealing. - Rui Meng, Xingdi Yuan, Tong Wang, Peter Brusilovsky, Adam Trischler, Daqing He:
Does Order Matter? An Empirical Study on Generating Multiple Keyphrases as a Sequence. - Irwyn Sadien, Konstantinos Papangelis, Charles Fleming, Hai-Ning Liang:
Lessons Learned from Developing a Microservice Based Mobile Location-Based Crowdsourcing Platform. - Xiaolei Huang, Jonathan May, Nanyun Peng:
What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis. - Majid Abdolshah, Alistair Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Cost-aware Multi-objective Bayesian optimisation. - Xiangyu Zhao, Changsheng Gu, Haoshenglun Zhang, Xiaobing Liu, Xiwang Yang, Jiliang Tang:
Deep Reinforcement Learning for Online Advertising in Recommender Systems. - Robert M. Gower, Denali Molitor, Jacob D. Moorman, Deanna Needell:
Adaptive Sketch-and-Project Methods for Solving Linear Systems. - S. M. Iman Zolanvari, Susana Ruano, Aakanksha Rana, Alan Cummins, Rogério Eduardo da Silva, Morteza Rahbar, Aljosa Smolic:
DublinCity: Annotated LiDAR Point Cloud and its Applications. - Chun-Ting Liu:
Neural Architecture Search in Embedding Space. - Ryuta Arisaka, Makoto Hagiwara, Takayuki Ito:
Formulating Manipulable Argumentation with Intra-/Inter-Agent Preferences. - Yiding Feng, Ronen Gradwohl, Jason D. Hartline, Aleck C. Johnsen, Denis Nekipelov:
Bias-Variance Games. - Ziyi Kou, Wentian Zhao, Guofeng Cui, Shaojie Wang:
Weakly Supervised Localization Using Background Images. - S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Hideki Asai:
An Adaptive Stochastic Nesterov Accelerated Quasi Newton Method for Training RNNs. - S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Hideki Asai:
A Stochastic Quasi-Newton Method with Nesterov's Accelerated Gradient. - James O'Neill, Danushka Bollegala:
Transfer Reward Learning for Policy Gradient-Based Text Generation. - Yudong Liu, Yongtao Wang, Siwei Wang, Tingting Liang, Qijie Zhao, Zhi Tang, Haibin Ling:
CBNet: A Novel Composite Backbone Network Architecture for Object Detection. - Pål Ellingsen, Patrick Felke, Constanza Riera, Pantelimon Stanica, Anton Tkachenko:
C-differentials, multiplicative uniformity and (almost) perfect c-nonlinearity. - Kazutomo Yoshii, John R. Tramm, Andrew R. Siegel, Peter H. Beckman:
Improving the scalabiliy of neutron cross-section lookup codes on multicore NUMA system. - Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda, Yoichi Matsuo, Yoshinobu Kawahara:
Krylov Subspace Method for Nonlinear Dynamical Systems with Random Noise. - Marek Chrobak, Kevin P. Costello, Leszek Gasieniec:
Information Gathering in Ad-Hoc Radio Networks. - HyungSeok Song, Hyeryung Jang, Hai H. Tran, Se-eun Yoon, Kyunghwan Son, Donggyu Yun, Hyoju Chung, Yung Yi:
Solving Continual Combinatorial Selection via Deep Reinforcement Learning. - Nicholas J. Bryan:
Data Augmentation and Deep Convolutional Neural Networks for Blind Room Acoustic Parameter Estimation. - Jingran Lin, Mengyuan Ma, Qiang Li, Jian Yang:
Joint Long-Term Admission Control and Beamforming in Green Downlink Networks: Offline and Online Approaches. - Hideki Kawahara, Ken-Ichi Sakakibara, Eri Haneishi, Kaori Hagiwara:
Real-time and interactive tools for vocal training based on an analytic signal with a cosine series envelope. - Sophia Keyner, Vadim Savenkov, Svitlana Vakulenko:
Open Data Chatbot. - Bin Guo, Yasan Ding, Lina Yao, Yunji Liang, Zhiwen Yu:
The Future of Misinformation Detection: New Perspectives and Trends. - Peizhuo Li, Yunda Sun, Xue Wan:
Saliency based Semi-supervised Learning for Orbiting Satellite Tracking. - Thomas Dupriez, Guillermo Polito, Steven Costiou, Vincent Aranega, Stéphane Ducasse:
Sindarin: A Versatile Scripting API for the Pharo Debugger. - David Kraljic, Miha Troha, Blaz Sobocan:
Extracting physical power plant parameters from historical behaviour. - Yongcheng Liu, Bin Fan, Gaofeng Meng, Jiwen Lu, Shiming Xiang, Chunhong Pan:
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing. - Songyang Zhang:
An Evaluation of BBR and its variants. - Anne S. Wannenwetsch, Martin Kiefel, Peter V. Gehler, Stefan Roth:
Learning Task-Specific Generalized Convolutions in the Permutohedral Lattice. - Dániel Kondor, Xiaohu Zhang, Malika Meghjani, Paolo Santi, Jinhua Zhao, Carlo Ratti:
Estimating the potential for shared autonomous scooters. - Firuz Kamalov, Ho Hon Leung:
Outlier Detection in High Dimensional Data. - Christopher Clark, Mark Yatskar, Luke Zettlemoyer:
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases. - Özge Drama, Alexander Badri-Spröwitz:
Trunk Pitch Oscillations for Joint Load Redistribution in Humans and Humanoid Robots. - Jan Krajícek:
The Cook-Reckhow definition. - Jin-Yi Cai, Artem Govorov:
On a Theorem of Lovász that hom(·, H) Determines the Isomorhphism Type of H. - Lars Luthmann, Hendrik Göttmann, Malte Lochau:
Compositional Liveness-Preserving Conformance Testing of Timed I/O Automata - Technical Report. - Yuan Meng:
Estimating Granger Causality with Unobserved Confounders via Deep Latent-Variable Recurrent Neural Network. - Olivier Pironneau:
Calibration of a Fluid-Structure Problem with Keras. - Xiaofan Bo, Zhao Kang, Zhitong Zhao, Yuanzhang Su, Wenyu Chen:
Latent Multi-view Semi-Supervised Classification. - Yude Wang, Jie Zhang, Meina Kan, Shiguang Shan, Xilin Chen:
Self-supervised Scale Equivariant Network for Weakly Supervised Semantic Segmentation. - Yangyang Zhou, Dongyang Zhao:
On Domination Coloring in Graphs. - Deepak Gupta, Kaheer Suleman, Mahmoud Adada, Andrew McNamara, Justin Harris:
Improving Neural Question Generation using World Knowledge. - Filipe Meirim, Mário Pereira, Carla Ferreira:
CISE3: Verificação de aplicações com consistência fraca em Why3. - Marco Virgolin, Ziyuan Wang, Tanja Alderliesten, Peter A. N. Bosman:
Machine learning for automatic construction of pseudo-realistic pediatric abdominal phantoms. - Murilo Marques Marinho, Hisashi Ishida, Kanako Harada, Kyoichi Deie, Mamoru Mitsuishi:
Virtual Fixture Assistance for Suturing in Robot-Aided Pediatric Endoscopic Surgery. - Simon D. Duque Antón, Anna Pia Lohfink, Christoph Garth, Hans Dieter Schotten:
Security in Process: Detecting Attacks in Industrial Process Data. - Bo Liu, Yi Liang:
Optimal Function Approximation with Relu Neural Networks. - Bilal Abu-Salih:
Toward a Knowledge-based Personalised Recommender System for Mobile App Development. - Guy Tennenholtz, Shie Mannor, Uri Shalit:
Off-Policy Evaluation in Partially Observable Environments. - Miguel Loureiro, Luísa Lourenço, Lúcio Ferrão, Carla Ferreira:
Análise de Segurança Baseada em Roles para Fábricas de Software. - Jary Pomponi, Simone Scardapane, Vincenzo Lomonaco, Aurelio Uncini:
Efficient Continual Learning in Neural Networks with Embedding Regularization. - Wanjun Zhong, Jingjing Xu, Duyu Tang, Zenan Xu, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
Reasoning Over Semantic-Level Graph for Fact Checking. - Fábio Ferreira, Lin Shao, Tamim Asfour, Jeannette Bohg:
Learning Visual Dynamics Models of Rigid Objects using Relational Inductive Biases. - Alberto Poncelas, Maja Popovic, Dimitar Sht. Shterionov, Gideon Maillette de Buy Wenniger, Andy Way:
Combining SMT and NMT Back-Translated Data for Efficient NMT. - Youmin Zhang, Yimin Chen, Xiao Bai, Jun Zhou, Kun Yu, Zhiwei Li, Kuiyuan Yang:
Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching. - Dan Barnes, Rob Weston, Ingmar Posner:
Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information. - Simon D. Duque Antón, Anna Pia Lohfink, Hans Dieter Schotten:
Discussing the Feasibility of Acoustic Sensors for Side Channel-aided Industrial Intrusion Detection: An Essay. - Kazuki Fujimoto, Sho Sakaino, Toshiaki Tsuji:
Time Series Motion Generation Considering Long Short-Term Motion. - Marie-Therese Walter, David Pfaff, Stefan Nürnberger, Michael Backes:
Proconda - Protected Control Data. - Abhishek Sharma, Danish Contractor, Harshit Kumar, Sachindra Joshi:
Neural Conversational QA: Learning to Reason v.s. Exploiting Patterns. - Bin Wang, Jun Shen, Shutao Zhang, Zhizheng Zhang:
On the Strong Equivalences for LPMLN Programs. - Shuyu Lin, Stephen J. Roberts, Niki Trigoni, Ronald Clark:
Balancing Reconstruction Quality and Regularisation in ELBO for VAEs. - Xing Chen, Lijun He, Shang Xu, Shibo Hu, Qingzhou Li, Guizhong Liu:
Hit Ratio Driven Mobile Edge Caching Scheme for Video on Demand Services. - Nicolai A. Lynnerup, Laura Nolling, Rasmus Hasle, John Hallam:
A Survey on Reproducibility by Evaluating Deep Reinforcement Learning Algorithms on Real-World Robots. - Xin-Qiang Cai, Yao-Xiang Ding, Yuan Jiang, Zhi-Hua Zhou:
Expert-Level Atari Imitation Learning from Demonstrations Only. - Ahmet Ercan Tekden, Aykut Erdem, Erkut Erdem, Mert Imre, M. Yunus Seker, Emre Ugur:
Belief Regulated Dual Propagation Nets for Learning Action Effects on Articulated Multi-Part Objects. - Alfie Abdul-Rahman, Rita Borgo, Min Chen, Darren J. Edwards, Brian Fisher:
Juxtaposing Controlled Empirical Studies in Visualization with Topic Developments in Psychology. - Ying-Hao Chen:
2-Local Hamiltonian with Low Complexity is QCMA. - Daniele Zambon, Cesare Alippi, Lorenzo Livi:
Distance-Preserving Graph Embeddings from Random Neural Features. - Lianbo Ma, Peng Sun, Zhiwei Lin, Hui Wang:
Composing Knowledge Graph Embeddings via Word Embeddings. - Danny Merkx, Stefan L. Frank, Mirjam Ernestus:
Language learning using Speech to Image retrieval. - Xin Su, Shangqi Guo, Feng Chen:
Subjectivity Learning Theory towards Artificial General Intelligence. - Alexander Sheshkus, Anastasia Ingacheva, Vladimir V. Arlazarov, Dmitry P. Nikolaev:
HoughNet: neural network architecture for vanishing points detection. - Dmytro Pukhkaiev, Uwe Aßmann:
Parameter Tuning for Self-optimizing Software at Scale. - Xinyue Zheng, Peng Wang, Qigang Wang, Zhongchao Shi, Feiyu Xu:
Efficient Automatic Meta Optimization Search for Few-Shot Learning. - Miguel Romero, Sergio Ramírez, Camilo Rocha, Frank Valencia:
A Rewriting Logic Approach to Stochastic and Spatial Constraint System Specification and Verification. - Steffen van Bergerem:
Learning Concepts Definable in First-Order Logic with Counting. - Takuma Ebisu, Ryutaro Ichise:
Combination of Unified Embedding Model and Observed Features for Knowledge Graph Completion. - Yongqiang Tian, Shiqing Ma, Ming Wen, Yepang Liu, Shing-Chi Cheung, Xiangyu Zhang:
Testing Deep Learning Models for Image Analysis Using Object-Relevant Metamorphic Relations. - Arunwan Boripan, Somphong Jitman:
SRIM and SCRIM Factors of xn+1 over Finite Fields and Their Applications. - Di Wang, Feiqing Huang, Jingyu Zhao, Guodong Li, Guangjian Tian:
Compact Autoregressive Network. - Jinming Lu, Siyuan Lu, Zhisheng Wang, Chao Fang, Jun Lin, Zhongfeng Wang, Li Du:
Training Deep Neural Networks Using Posit Number System. - Dongsheng Ruan, Jun Wen, Nenggan Zheng:
Linear Context Transform Block. - Haochuan Lu, Huanlin Xu, Nana Liu, Yangfan Zhou, Xin Wang:
Data Sanity Check for Deep Learning Systems via Learnt Assertions. - Ji Wang, Qi Jing, Jianbo Gao:
SEdroid: A Robust Android Malware Detector using Selective Ensemble Learning. - Haoyue Bai, Song Wen, S.-H. Gary Chan:
Crowd Counting on Images with Scale Variation and Isolated Clusters. - Mohammed Khwaja, Miquel Ferrer, Jesús Omana Iglesias, A. Aldo Faisal, Aleksandar Matic:
Aligning Daily Activities with Personality: Towards A Recommender System for Improving Wellbeing. - Zvezdin Besarabov, Todor Kolev:
Distributed creation of Machine learning agents for Blockchain analysis. - Wenwei Zhang, Hui Zhou, Shuyang Sun, Zhe Wang, Jianping Shi, Chen Change Loy:
Robust Multi-Modality Multi-Object Tracking. - Alessandro Balestrucci, Rocco De Nicola, Marinella Petrocchi, Catia Trubiani:
Do you really follow them? Automatic detection of credulous Twitter users. - Akhil Agnihotri, Prathamesh Saraf, Kriti Rajesh Bapnad:
A Convolutional Neural Network Approach Towards Self-Driving Cars. - Tim Laibacher, André Anjos:
On the Evaluation and Real-World Usage Scenarios of Deep Vessel Segmentation for Funduscopy. - Muhammad Omer Bin Saeed:
A Complete Transient Analysis for the Incremental LMS Algorithm. - Yinhe Zheng, Guanyi Chen, Minlie Huang:
Out-of-domain Detection for Natural Language Understanding in Dialog Systems. - Florian Köpf, Alexander Nitsch, Michael Flad, Sören Hohmann:
Partner Approximating Learners (PAL): Simulation-Accelerated Learning with Explicit Partner Modeling in Multi-Agent Domains. - Sujoy Bhore, Satyabrata Jana, Supantha Pandit, Sasanka Roy:
Balanced Connected Subgraph Problem in Geometric Intersection Graphs. - Jimmy J. Nielsen, Israel Leyva-Mayorga, Petar Popovski:
Reliability and Error Burst Length Analysis of Wireless Multi-Connectivity. - Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo, Tao Mei:
Gaussian Temporal Awareness Networks for Action Localization. - Zhengchun Zhou, Fangrui Liu, Avik Ranjan Adhikary, Pingzhi Fan:
A Generalised Construction of Multiple Complete Complementary Codes and Asymptotically Optimal Aperiodic Quasi-Complementary Sequence Sets. - Mingqing Xiao, Adam Kortylewski, Ruihai Wu, Siyuan Qiao, Wei Shen, Alan L. Yuille:
TDAPNet: Prototype Network with Recurrent Top-Down Attention for Robust Object Classification under Partial Occlusion. - Sándor P. Fekete, Eike Niehs, Christian Scheffer, Arne Schmidt:
Connected Assembly and Reconfiguration by Finite Automata. - Sahil Garg, Aram Galstyan, Greg Ver Steeg, Guillermo A. Cecchi:
Nearly-Unsupervised Hashcode Representations for Relation Extraction. - Guangcan Liu, Wayne Zhang:
Recovery of Future Data via Convolution Nuclear Norm Minimization. - Sebastian Pölsterl, Ignacio Sarasua, Benjamín Gutiérrez-Becker, Christian Wachinger:
A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data. - Sebastián Gómez-González, Sergey Prokudin, Bernhard Schölkopf, Jan Peters:
Real Time Trajectory Prediction Using Deep Conditional Generative Models. - Satyabrata Jana, Anil Maheshwari, Saeed Mehrabi, Sasanka Roy:
Maximum Bipartite Subgraph of Geometric Intersection Graphs. - Weitao Xu, Jun Young Kim, Walter Huang, Salil S. Kanhere, Sanjay Jha, Wen Hu:
Measurement, Characterization and Modeling of LoRa Technology in Multi-floor Buildings. - Kishor Chandra Joshi, Solmaz Niknam, R. Venkatesha Prasad, Balasubramaniam Natarajan:
Analyzing the Trade-offs in Using Millimeter Wave Directional Links for High Data Rate Tactile Internet Applications. - Kishor Chandra Joshi, Rizqi Hersyandika, R. Venkatesha Prasad:
Association, Blockage and Handoffs in IEEE 802.11ad based 60GHz Picocells- A Closer Look. - Kristopher De Asis, Alan Chan, Silviu Pitis, Richard S. Sutton, Daniel Graves:
Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning. - Yehao Li, Ting Yao, Yingwei Pan, Hongyang Chao, Tao Mei:
Deep Metric Learning with Density Adaptivity. - Kishor Chandra Joshi, R. Venkatesha Prasad, Ignas G. Niemegeers:
Performance Analysis of IEEE 802.11ad MAC Protocol. - Mark Ditsworth, Justin Ruths:
Community Detection via Katz and Eigenvector Centrality. - Juan Jose Tarrio, Claus Smitt, Sol Pedre:
SE-SLAM: Semi-Dense Structured Edge-Based Monocular SLAM. - Ting Yao, Yingwei Pan, Yehao Li, Tao Mei:
Hierarchy Parsing for Image Captioning. - Junwei Zang, Vahid Towhidlou, Mohammad Shikh-Bahaei:
Collision Avoidance in V2X Communication Networks. - Dongyeop Kang, Anusha Balakrishnan, Pararth Shah, Paul A. Crook, Y-Lan Boureau, Jason Weston:
Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue. - Kishor Chandra Joshi, R. Venkatesha Prasad, I. G. M. M. Niemegeers, Abdur Rahim Biswas:
Adaptive Beamwidth Selection for Contention Based Access Periods in Millimeter Wave WLANs. - Jan Karwowski, Jacek Mandziuk:
Double-oracle sampling method for Stackelberg Equilibrium approximation in general-sum extensive-form games. - Dingfan Chen, Ning Yu, Yang Zhang, Mario Fritz:
GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs. - Jie Gao, Lian Zhao, Xuemin Shen:
Network Utility Maximization based on Incentive Mechanism for Truthful Reporting of Local Information. - Qingpeng Cai, Ling Pan, Pingzhong Tang:
Deterministic Value-Policy Gradients. - Alessio Tonioni, Matteo Poggi, Stefano Mattoccia, Luigi Di Stefano:
Unsupervised Domain Adaptation for Depth Prediction from Images. - Gabriel Laberge, Shahrzad Shirzad, Patrick Diehl, Hartmut Kaiser, Serge Prudhomme, Adrian S. Lemoine:
Scheduling optimization of parallel linear algebra algorithms using Supervised Learning. - Umberto Villa, Noemi Petra, Omar Ghattas:
hIPPYlib: An Extensible Software Framework for Large-Scale Inverse Problems Governed by PDEs; Part I: Deterministic Inversion and Linearized Bayesian Inference. - Yujie Gu, Ofer Shayevitz:
On the Non-Adaptive Zero-Error Capacity of the Discrete Memoryless Two-Way Channel. - Gautam Kamath, Or Sheffet, Vikrant Singhal, Jonathan R. Ullman:
Differentially Private Algorithms for Learning Mixtures of Separated Gaussians. - Xinyu Li, Jing Xu, Xiong Fan, Yuchen Wang, Zhenfeng Zhang:
Puncturable Signatures and Applications in Proof-of-Stake Blockchain Protocol. - Ebele G. Onyedinma, Ikechukwu E. Onyenwe, H. Inyiama:
Performance Evaluation of Histogram Equalization and Fuzzy image Enhancement Techniques on Low Contrast Images. - Alphan Sahin, Rui Yang:
An Uplink Control Channel Design with Complementary Sequences for Unlicensed Bands. - Senthil Hariharan Arul, Dinesh Manocha:
DCAD: Decentralized Collision Avoidance with Dynamics Constraints for Agile Quadrotor Swarms. - Ulrich Aïvodji, Julien Ferry, Sébastien Gambs, Marie-José Huguet, Mohamed Siala:
Learning Fair Rule Lists. - Saavan Patel, Sayeef S. Salahuddin:
Combining Learned Representations for Combinatorial Optimization. - Damian Campo, Vahid Bastani, Lucio Marcenaro, Carlo S. Regazzoni:
Incremental learning of environment interactive structures from trajectories of individuals. - Debarpita Santra, Swapan Kumar Basu, J. K. Mondal, Subrata Goswami:
Lattice-Based Fuzzy Medical Expert System for Low Back Pain Management. - Alberto Maria Metelli, Guglielmo Manneschi, Marcello Restelli:
Policy Space Identification in Configurable Environments. - Bernardo Aceituno-Cabezas, José Ballester, Alberto Rodriguez:
Certified Grasping. - Debarpita Santra, Jyotsna Kumar Mandal, Swapan Kumar Basu, Subrata Goswami:
Addressing Design Issues in Medical Expert System for Low Back Pain Management: Knowledge Representation, Inference Mechanism, and Conflict Resolution Using Bayesian Network. - Daigo Shishika, Vijay Kumar:
Perimeter-defense Game on Arbitrary Convex Shapes. - Nibesh Shrestha, Mohan Kumar:
Revisiting EZBFT: A Decentralized Byzantine Fault Tolerant Protocol with Speculation. - Changlin Wan, Wennan Chang, Tong Zhao, Mengya Li, Sha Cao, Chi Zhang:
MEBF: a fast and efficient Boolean matrix factorization method. - Luis Gustavo Nonato, Fabiano Petronetto, Cláudio T. Silva:
GLoG: Laplacian of Gaussian for Spatial Pattern Detection in Spatio-Temporal Data. - Amit Livne, Moshe Unger, Bracha Shapira, Lior Rokach:
Deep Context-Aware Recommender System Utilizing Sequential Latent Context. - Carmelo Sferrazza, Adam Wahlsten, Camill Trueeb, Raffaello D'Andrea:
Ground truth force distribution for learning-based tactile sensing: a finite element approach. - Charuta Pethe, Steven Skiena:
The Trumpiest Trump? Identifying a Subject's Most Characteristic Tweets. - Damian Campo, Alejandro Betancourt, Lucio Marcenaro, Carlo S. Regazzoni:
Static force field representation of environments based on agents nonlinear motions. - Vlad Pushkarov, Jonathan Efroni, Mykola Maksymenko, Maciej Koch-Janusz:
Training Deep Neural Networks by optimizing over nonlocal paths in hyperparameter space. - Justin Sybrandt, Ruslan Shaydulin, Ilya Safro:
Hypergraph Partitioning With Embeddings. - Jie Gao, Mushu Li, Lian Zhao, Xuemin Shen:
Contention Intensity based Distributed Coordination for V2V Safety Message Broadcast. - Yang Li, José M. F. Moura:
Forecaster: A Graph Transformer for Forecasting Spatial and Time-Dependent Data. - Yosuke Shinya, Edgar Simo-Serra, Taiji Suzuki:
Understanding the Effects of Pre-Training for Object Detectors via Eigenspectrum. - Ignacio Romero:
Connecting beams and continua: variational basis and mathematical analysis. - Matt Grenander, Yue Dong, Jackie Chi Kit Cheung, Annie Louis:
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses. - Daniel Drzisga, Brendan Keith, Barbara I. Wohlmuth:
The surrogate matrix methodology: A reference implementation for low-cost assembly in isogeometric analysis. - Keping Bi, Choon Hui Teo, Yesh Dattatreya, Vijai Mohan, W. Bruce Croft:
A Study of Context Dependencies in Multi-page Product Search. - Christian Reul, Dennis Christ, Alexander Hartelt, Nico Balbach, Maximilian Wehner, Uwe Springmann, Christoph Wick, Christine Grundig, Andreas Büttner, Frank Puppe:
OCR4all - An Open-Source Tool Providing a (Semi-)Automatic OCR Workflow for Historical Printings. - Arman Cohan, Iz Beltagy, Daniel King, Bhavana Dalvi, Daniel S. Weld:
Pretrained Language Models for Sequential Sentence Classification. - Alireza Vafaei Sadr, Bruce A. Bassett, Martin Kunz:
A Flexible Framework for Anomaly Detection via Dimensionality Reduction. - Thomas D. Barrett, William R. Clements, Jakob N. Foerster, A. I. Lvovsky:
Exploratory Combinatorial Optimization with Reinforcement Learning. - Amir Hosein Hadian-Rasanan, Mehran Nikarya, Arman Bahramnezhad, Mohammad M. Moayeri, Kourosh Parand:
A comparison between pre-Newton and post-Newton approaches for solving a physical singular second-order boundary problem in the semi-infinite interval. - Pratyush Maini, Eric Wong, J. Zico Kolter:
Adversarial Robustness Against the Union of Multiple Perturbation Models. - Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, Yejin Choi:
Counterfactual Story Reasoning and Generation. - Riccardo La Grassa, Ignazio Gallo, Alessandro Calefati, Dimitri Ognibene:
A Classification Methodology based on Subspace Graphs Learning. - Ahmad Khaliq, Sangeet Saha, Bina Bhatt, Dongbing Gu, Gareth Howells, Klaus D. McDonald-Maier:
FLAG: A Framework for FPGA-based LoAd Generation in Profinet Communication. - Olaoluwapo Ajala, Alejandro D. Domínguez-García, Daniel Liberzon:
Robust synchronization of electric power generators. - Maxwell Forbes, Christine Kaeser-Chen, Piyush Sharma, Serge J. Belongie:
Neural Naturalist: Generating Fine-Grained Image Comparisons. - Xingxing Zuo, Patrick Geneva, Woosik Lee, Yong Liu, Guoquan Huang:
LIC-Fusion: LiDAR-Inertial-Camera Odometry. - Zengming Shen, Yifan Chen, Shaohua Kevin Zhou, Bogdan Georgescu, Xuqi Liu, Thomas S. Huang:
Towards Learning a Self-inverse Network for Bidirectional Image-to-image Translation. - Junnan Song, Khushboo Mittal, Shalabh Gupta, Thomas A. Wettergren:
Rapid Motion-Planning for Dubins Vehicles under Environmental Drifts. - Kaiyang Cheng, Claudia Iriondo, Francesco Calivá, Justin Krogue, Sharmila Majumdar, Valentina Pedoia:
Adversarial Policy Gradient for Deep Learning Image Augmentation. - Zengming Shen, Shaohua Kevin Zhou, Yifan Chen, Bogdan Georgescu, Xuqi Liu, Thomas S. Huang:
One-to-one Mapping for Unpaired Image-to-image Translation. - Pierluca D'Oro, Alberto Maria Metelli, Andrea Tirinzoni, Matteo Papini, Marcello Restelli:
Gradient-Aware Model-based Policy Search. - Sandro Rama Fiorini, Wallas Henrique Sousa dos Santos, Rodrigo Costa Mesquita Santos, Guilherme Augusto Ferreira Lima, Márcio Ferreira Moreno:
General Fragment Model for Information Artifacts. - Eric Mjolsness:
Structural Commutation Relations for Stochastic Labelled Graph Grammar Rule Operators. - Michael R. Glass, Alfio Gliozzo, Rishav Chakravarti, Anthony Ferritto, Lin Pan, G. P. Shrivatsa Bhargav, Dinesh Garg, Avirup Sil:
Span Selection Pre-training for Question Answering. - Andrey Kurenkov, Ajay Mandlekar, Roberto Martin Martin, Silvio Savarese, Animesh Garg:
AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers. - Ang Li, Jiayi Guo, Huanrui Yang, Yiran Chen:
DeepObfuscator: Adversarial Training Framework for Privacy-Preserving Image Classification. - Lyan Verwimp, Jerome R. Bellegarda:
Reverse Transfer Learning: Can Word Embeddings Trained for Different NLP Tasks Improve Neural Language Models? - Yongtao Zhou, Jorge L. Suzuki, Chengjian Zhang, Mohsen Zayernouri:
Fast IMEX Time Integration of Nonlinear Stiff Fractional Differential Equations. - Arjun Manoharan, Rahul Ramesh, Balaraman Ravindran:
Option Encoder: A Framework for Discovering a Policy Basis in Reinforcement Learning. - Nathan Mull, Shuo Pang, Alexander A. Razborov:
On CDCL-based proof systems with the ordered decision strategy. - Jiang Lu, Lei Li, Changshui Zhang:
Self-reinforcing Unsupervised Matching. - Meghna Barkakati, Reetam Sen Biswas, Anamitra Pal:
A PMU Based Islanding Detection Scheme Immune to Additive Instrumentation Channel Errors. - Anubhav Nath, Reetam Sen Biswas, Anamitra Pal:
Application of Machine Learning for Online Dynamic Security Assessment in Presence of System Variability and Additive Instrumentation Errors. - Steven Le Moan, Marius Pedersen:
A Three-Feature Model to Predict Colour Change Blindness. - Yanhao Zhu, Zhineng Chen, Shuai Zhao, Hongtao Xie, Wenming Guo, Yongdong Zhang:
ACE-Net: Biomedical Image Segmentation with Augmented Contracting and Expansive Paths. - Tian Yang, Leiting Dong, Satya N. Atluri:
An Elementarily Simple Galerkin Meshless Method: the Fragile Points Method (FPM) Using Point Stiffness Matrices, for 2D Elasticity Problems in Complex Domains. - Muhammad Siraj:
Machine and Deep Learning for Crowd Analytics. - Sasan Tavakkol, Sangyoung Son, Patrick J. Lynett:
Adaptive Third Order Adams-Bashforth Time Stepping Scheme for 2D Extended Boussinesq Equations. - Pavel Kalvoda, Tom Sydney Kerckhove:
Structural and semantic pattern matching analysis in Haskell. - Yu Zeng, Yun-Zhi Zhuge, Huchuan Lu, Lihe Zhang:
Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation. - Jian Deng, Krzysztof Czarnecki:
MLOD: A multi-view 3D object detection based on robust feature fusion method. - Matthew E. Peters, Mark Neumann, Robert L. Logan IV, Roy Schwartz, Vidur Joshi, Sameer Singh, Noah A. Smith:
Knowledge Enhanced Contextual Word Representations. - Bailin Wang, Ivan Titov, Mirella Lapata:
Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs. - Sarah H. Q. Li, Daniel J. Calderone, Lillian J. Ratliff, Behçet Açikmese:
Sensitivity Analysis for Markov Decision Process Congestion Games. - Giacomo Spigler:
Meta-learnt priors slow down catastrophic forgetting in neural networks. - Joshua R. Bertram, Peng Wei:
An Efficient Algorithm for Multiple-Pursuer-Multiple-Evader Pursuit/Evasion Game. - (Withdrawn) A Filtering Approach for Resiliency of Distributed Observers against Smart Spoofers.
- Jiawei Wu, Wenhan Xiong, William Yang Wang:
Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification. - Chiyu Zhang, Muhammad Abdul-Mageed:
BERT-Based Arabic Social Media Author Profiling. - Jing Zhu, Yi Fang, Husam Abu-Haimed, Kuo-Chin Lien, Dongdong Fu, Junli Gu:
Learning Object-specific Distance from a Monocular Image. - Sandeep Soni, Kristina Lerman, Jacob Eisenstein:
Follow the Leader: Documents on the Leading Edge of Semantic Change Get More Citations. - Nhan Nguyen-Thanh, Dana Marinca, Kinda Khawam, David Rohde, Flavian Vasile, Elena Simona Lohan, Steven Martin, Dominique Quadri:
Recommendation System-based Upper Confidence Bound for Online Advertising. - Shimaa Ahmed, Amrita Roy Chowdhury, Kassem Fawaz, Parmesh Ramanathan:
Prεεch: A System for Privacy-Preserving Speech Transcription. - Isaac Ahern, Adam Noack, Luis Guzman-Nateras, Dejing Dou, Boyang Li, Jun Huan:
NormLime: A New Feature Importance Metric for Explaining Deep Neural Networks. - Baihong Jin, Yingshui Tan, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli:
Augmenting Monte Carlo Dropout Classification Models with Unsupervised Learning Tasks for Detecting and Diagnosing Out-of-Distribution Faults. - Cory B. Scott, Eric Mjolsness:
Novel diffusion-derived distance measures for graphs. - Pengfei Sun, Saman A. Zonouz:
Selfie: User-defined Sensitive Memory Protection and Recovery. - Xinyi Ding, Zohreh Raziei, Eric C. Larson, Eli V. Olinick, Paul Krueger, Michael Hahsler:
Swapped Face Detection using Deep Learning and Subjective Assessment. - Liheng Chen, Hongyi Guo, Haifeng Zhang, Fei Fang, Yaoming Zhu, Ming Zhou, Weinan Zhang, Qing Wang, Yong Yu:
Signal Instructed Coordination in Team Competition. - Hanjie Chen, Yangfeng Ji:
Improving the Interpretability of Neural Sentiment Classifiers via Data Augmentation. - Travis Scheponik, Enis Golaszewski, Geoffrey L. Herman, Spencer Offenberger, Linda Oliva, Peter A. H. Peterson, Alan T. Sherman:
Investigating Crowdsourcing to Generate Distractors for Multiple-Choice Assessments. - Urban Larsson, Yakov Babichenko:
Golden games. - Yonathan Efroni, Mohammad Ghavamzadeh, Shie Mannor:
Multi-Step Greedy and Approximate Real Time Dynamic Programming. - Ming Wu, Pengcheng Wang, Kangqi Yin, Haoyu Cheng, Yun Xu, Chanchal K. Roy:
LVMapper: A Large-variance Clone Detector Using Sequencing Alignment Approach. - Yitong Meng, Weiwen Liu, Benben Liao, Jun Guo, Guangyong Chen:
PMD: A New User Distance for Recommender Systems. - Stephan Hoyer, Jascha Sohl-Dickstein, Sam Greydanus:
Neural reparameterization improves structural optimization. - Guanhua Zhang, Bing Bai, Junqi Zhang, Kun Bai, Conghui Zhu, Tiejun Zhao:
Mitigating Annotation Artifacts in Natural Language Inference Datasets to Improve Cross-dataset Generalization Ability. - Yuanfu Lu, Xiao Wang, Chuan Shi, Philip S. Yu, Yanfang Ye:
Temporal Network Embedding with Micro- and Macro-dynamics. - Zihao Li, Shu Zhang, Junge Zhang, Kaiqi Huang, Yizhou Wang, Yizhou Yu:
MVP-Net: Multi-view FPN with Position-aware Attention for Deep Universal Lesion Detection. - Kaixuan Wang, Fei Gao, Shaojie Shen:
Real-time Scalable Dense Surfel Mapping. - Jing Qian, Anna Bethke, Yinyin Liu, Elizabeth M. Belding, William Yang Wang:
A Benchmark Dataset for Learning to Intervene in Online Hate Speech. - Wonsup Shin, Tae-Young Kim, Sung-Bae Cho:
Lifelog Patterns Analyzation using Graph Embedding based on Deep Neural Network. - Zhe Xu, Ufuk Topcu:
Transfer of Temporal Logic Formulas in Reinforcement Learning. - Vishnu V. Ratnam:
Optimal Reference Signal Design for Phase Noise Compensation in Multi-carrier Massive MIMO Systems. - Wei Xie, Bo Wang, Cheng Li, Jared Auclair, Peter Baker:
Bayesian Network Based Risk and Sensitivity Analysis for Production Process Stability Control. - Yihan Zhang, Amitalok J. Budkuley, Sidharth Jaggi:
Generalized List Decoding. - Yitong Meng, Guangyong Chen, Benben Liao, Jun Guo, Weiwen Liu:
Wasserstein Collaborative Filtering for Item Cold-start Recommendation. - Shaddin Dughmi:
The Outer Limits of Contention Resolution on Matroids and Connections to the Secretary Problem. - Zheming Zhou, Tianyang Pan, Shiyu Wu, Haonan Chang, Odest Chadwicke Jenkins:
GlassLoc: Plenoptic Grasp Pose Detection in Transparent Clutter. - Bowen Yu, Zhenyu Zhang, Jianlin Su, Yubin Wang, Tingwen Liu, Bin Wang, Sujian Li:
Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy. - Jan Bohn, Michael Feischl:
Recurrent Neural Networks as Optimal Mesh Refinement Strategies. - Priyanka Gupta, Diksha Garg, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff:
NISER: Normalized Item and Session Representations with Graph Neural Networks. - Mehdi Tarhani, Sanjib Sarkar, Morad Khosravi Eghbal, Mehdi Shadaram:
Resource allocation using SPA based on different cost functions in elastic optical networks. - Soma Minami, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Knowledge Transfer Graph for Deep Collaborative Learning. - (Withdrawn) Toward Finding The Global Optimal of Adversarial Examples.
- Thomas Y. Hou, Zhongjian Wang, Zhiwen Zhang:
A class of robust numerical methods for solving dynamical systems with multiple time scales. - Shao-Yen Tseng, Panayiotis G. Georgiou, Shrikanth S. Narayanan:
Multimodal Embeddings from Language Models. - Deng Cai, Wai Lam:
Core Semantic First: A Top-down Approach for AMR Parsing. - Yi Wu, Yuxin Wu, Aviv Tamar, Stuart Russell, Georgia Gkioxari, Yuandong Tian:
Bayesian Relational Memory for Semantic Visual Navigation. - Thommen George Karimpanal, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh:
Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning. - Stéphanie Chevalier, Christine Froidevaux, Loïc Paulevé, Andrei Yu. Zinovyev:
Synthesis of Boolean Networks from Biological Dynamical Constraints using Answer-Set Programming. - Byunggill Joe, Sung Ju Hwang, Insik Shin:
Learning to Disentangle Robust and Vulnerable Features for Adversarial Detection. - Shuo Yang, Wei Zhang, Weizhi Lu, Hesheng Wang, Yibin Li:
Learning Actions from Human Demonstration Video for Robotic Manipulation. - Hung Pham, Quang-Cuong Pham:
Convex Controller Synthesis for Contact. - Julian Berberich, Anne Romer, Carsten W. Scherer, Frank Allgöwer:
Robust data-driven state-feedback design. - Huiyun Yang, Shujian Huang, Xinyu Dai, Jiajun Chen:
Fine-grained Knowledge Fusion for Sequence Labeling Domain Adaptation. - Hiroyuki Kido, Beishui Liao:
A Bayesian Approach to Direct and Inverse Abstract Argumentation Problems. - Faizal M. F. Hafiz, Akshya Swain, Eduardo M. A. M. Mendes, Luis Antonio Aguirre:
Multi-objective Evolutionary Approach to Grey-Box Identification of Buck Converter. - Qi Zhou, Hao Lin:
Investigating the completeness and omission roads of OpenStreetMap data in Hubei, China by comparing with Street Map and Street View. - Xianglei Xing, Tianfu Wu, Song-Chun Zhu, Ying Nian Wu:
Towards Interpretable Image Synthesis by Learning Sparsely Connected AND-OR Networks. - Lifeng Huang, Chengying Gao, Yuyin Zhou, Changqing Zou, Cihang Xie, Alan L. Yuille, Ning Liu:
UPC: Learning Universal Physical Camouflage Attacks on Object Detectors. - Sina Sharif Mansouri, Pantelis Sopasakis, George K. Georgoulas, Thomas Gustafsson, George Nikolakopoulos:
Visual Area Coverage with Attitude-Dependent Camera Footprints by Particle Harvesting. - Ziyang Wu, Yuwei Li, Lihua Guo, Kui Jia:
PARN: Position-Aware Relation Networks for Few-Shot Learning. - Chen-Feng Liu, Mehdi Bennis:
Taming the Tail of Maximal Information Age in Wireless Industrial Networks. - Christian Zimmermann, Duygu Ceylan, Jimei Yang, Bryan C. Russell, Max Argus, Thomas Brox:
FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape from Single RGB Images. - Yuxiang Zhu, Minxue Pan:
Automatic Code Summarization: A Systematic Literature Review. - Boyan Duan, Chaoyou Fu, Yi Li, Xingguang Song, Ran He:
Pose Agnostic Cross-spectral Hallucination via Disentangling Independent Factors. - Yingyue Xu, Dan Xu, Xiaopeng Hong, Wanli Ouyang, Rongrong Ji, Min Xu, Guoying Zhao:
Structured Modeling of Joint Deep Feature and Prediction Refinement for Salient Object Detection. - Binny Mathew, Suman Kalyan Maity, Pawan Goyal, Animesh Mukherjee:
Competing Topic Naming Conventions in Quora: Predicting Appropriate Topic Merges and Winning Topics from Millions of Topic Pairs. - Ciprian Paduraru, Miruna Paduraru:
Automatic difficulty management and testing in games using a framework based on behavior trees and genetic algorithms. - Zhendong Zhang, Cheolkon Jung:
GBDT-MO: Gradient Boosted Decision Trees for Multiple Outputs. - Gregory Stock, Sebastian Hahn, Jan Reineke:
Cache Persistence Analysis: Finally Exact. - Shifeng Zhang, Cheng Chi, Zhen Lei, Stan Z. Li:
RefineFace: Refinement Neural Network for High Performance Face Detection. - Olga V. Bondarenko, Olena V. Pakhomova, Vladimir I. Zaselskiy:
The use of cloud technologies when studying geography by higher school students. - Ihor Kholoshyn, Iryna Varfolomyeyeva, Olena Hanchuk, Olga V. Bondarenko, Andrey V. Pikilnyak:
Pedagogical techniques of Earth remote sensing data application into modern school practice. - Aditya Ganeshan, Vivek B. S., R. Venkatesh Babu:
FDA: Feature Disruptive Attack. - Xavier Ferrer Aran, Jose M. Such, Natalia Criado:
Attesting Biases and Discrimination using Language Semantics. - Amanda Cercas Curry, Verena Rieser:
A Crowd-based Evaluation of Abuse Response Strategies in Conversational Agents. - Ihor Kholoshyn, Olga V. Bondarenko, Olena Hanchuk, Ekaterina Shmeltser:
Cloud ArcGIS Online as an innovative tool for developing geoinformation competence with future geography teachers. - Alex Frid, Larry M. Manevitz, Norberto Eiji Nawa:
Classifying the Valence of Autobiographical Memories from fMRI Data. - Paul Diac, Liana Tucar, Radu Mereuta:
Extending the Service Composition Formalism with Relational Parameters. - (Withdrawn) Constant factor approximation of MAX CLIQUE.
- Mitja Nikolaus, Mostafa Abdou, Matthew Lamm, Rahul Aralikatte, Desmond Elliott:
Compositional Generalization in Image Captioning. - Andrey Rudenko, Tomasz Piotr Kucner, Chittaranjan Srinivas Swaminathan, Ravi T. Chadalavada, Kai Oliver Arras, Achim J. Lilienthal:
THÖR: Human-Robot Indoor Navigation Experiment and Accurate Motion Trajectories Dataset. - Martin Klein, Harihar Shankar, Lyudmila Balakireva, Herbert Van de Sompel:
The Memento Tracer Framework: Balancing Quality and Scalability for Web Archiving. - Daniel Höller, Gregor Behnke, Pascal Bercher, Susanne Biundo, Humbert Fiorino, Damien Pellier, Ronald Alford:
Hierarchical Planning in the IPC. - Rui Wang, Rodrigo Stange Tessinari, Emilio Hugues-Salas, Anderson Bravalheri, Navdeep Uniyal, Abubakar Siddique Muqaddas, Rafael Silva Guimaraes, Thierno Diallo, Shadi Moazzeni, Qibing Wang, George Kanellos, Reza Nejabati, Dimitra Simeonidou:
End-to-end Quantum Secured Inter-Domain 5G Service Orchestration Over Dynamically Switched Flex-Grid Optical Networks Enabled by a q-ROADM. - Wei Luo, Xitong Yang, Xianjie Mo, Yuheng Lu, Larry S. Davis, Jun Li, Jian Yang, Ser-Nam Lim:
Cross-X Learning for Fine-Grained Visual Categorization. - Alexander Pilz, Patrick Schnider:
Bisecting three classes of lines. - Mohammad Malekzadeh, Dimitrios Athanasakis, Hamed Haddadi, Ben Livshits:
Privacy-Preserving Bandits. - Christian Ertler, Jerneja Mislej, Tobias Ollmann, Lorenzo Porzi, Yubin Kuang:
Traffic Sign Detection and Classification around the World. - Otavio Moro Serra, F. P. R. Martins, Linilson Rodrigues Padovese:
Automatic detection of estuarine dolphin whistles in spectrogram images. - Jie Peng, Shi Shu, Junxian Wang, Liuqiang Zhong:
Adaptive-Multilevel BDDC algorithm for three-dimensional plane wave Helmholtz systems. - Mykhailo Vladymyrov, Akitaka Ariga:
Novel tracking approach based on fully-unsupervised disentanglement of the geometrical factors of variation. - Lilas Alrahis, Muhammad Yasin, Nimisha Limaye, Hani H. Saleh, Baker Mohammad, Mahmoud Al-Qutayri, Ozgur Sinanoglu:
ScanSAT: Unlocking Static and Dynamic Scan Obfuscation. - Norman H. Packard, Mark A. Bedau, Alastair Channon, Takashi Ikegami, Steen Rasmussen, Kenneth O. Stanley, Tim Taylor:
An Overview of Open-Ended Evolution: Editorial Introduction to the Open-Ended Evolution II Special Issue. - Edmond Shami:
The Evolution of Decentralized ICT Networks. - Martin J. Shepperd, Yuchen Guo, Ning Li, Mahir Arzoky, Andrea Capiluppi, Steve Counsell, Giuseppe Destefanis, Stephen Swift, Allan Tucker, Leila Yousefi:
The Prevalence of Errors in Machine Learning Experiments. - Carlos Abraham Soriano-Rangel, Wei He, Fernando Mancilla-David, Romeo Ortega:
Voltage regulation in buck-boost coniverters feeding an unknown constant power load: an adaptive passivity-based control. - Hui-Po Wang, Wen-Hsiao Peng, Wei-Jan Ko:
Learning Priors for Adversarial Autoencoders. - Yutai Hou, Meng Fang, Wanxiang Che, Ting Liu:
A Corpus-free State2Seq User Simulator for Task-oriented Dialogue. - Nicolás Robinson-García, Richard Woolley, Rodrigo Costas:
Making sense of global collaboration dynamics: Developing a methodological framework to study (dis)similarities between country disciplinary profiles and choice of collaboration partners. - Xiaoyu Shen, Jun Suzuki, Kentaro Inui, Hui Su, Dietrich Klakow, Satoshi Sekine:
Select and Attend: Towards Controllable Content Selection in Text Generation. - M. Reza Heydari, Saber Salehkaleybar, Kun Zhang:
Adversarial Orthogonal Regression: Two non-Linear Regressions for Causal Inference. - Chunyuan Yuan, Wei Zhou, Qianwen Ma, Shangwen Lv, Jizhong Han, Songlin Hu:
Learning review representations from user and product level information for spam detection. - Marco Salvalaglio, Axel Voigt, Steven M. Wise:
Doubly Degenerate Diffuse Interface Models of Surface Diffusion. - Chunyuan Yuan, Qianwen Ma, Wei Zhou, Jizhong Han, Songlin Hu:
Jointly embedding the local and global relations of heterogeneous graph for rumor detection. - Travis A. Whetsell, Koen Jonkers, Ana-Maria Dimand, Jeroen Baas, Caroline S. Wagner:
Democracy, Globalization, and Science. - Christian Reisswig, Anoop R. Katti, Marco Spinaci, Johannes Höhne:
Chargrid-OCR: End-to-end trainable Optical Character Recognition through Semantic Segmentation and Object Detection. - Martianus Frederic Ezerman, Hyung Tae Lee, San Ling, Khoa Nguyen, Huaxiong Wang:
Provably Secure Group Signature Schemes from Code-Based Assumptions. - Sabine Wieluch, Friedhelm Schwenker:
Dropout Induced Noise for Co-Creative GAN Systems. - Bo Li, Minming Li, Xiaowei Wu:
Well-behaved Online Load Balancing Against Strategic Jobs. - Shuang Gao, Xin Liu, Lung-Sheng Chien, William Zhang, José M. Álvarez:
VACL: Variance-Aware Cross-Layer Regularization for Pruning Deep Residual Networks. - Zijing Liu, Mauricio Barahona:
Graph-based data clustering via multiscale community detection. - Jurriaan van Diggelen, Jonathan Barnhoorn, Marieke M. M. Peeters, Wessel van Staal, M. L. van Stolk, Bob van der Vecht, Jasper van der Waa, Jan Maarten Schraagen:
Pluggable Social Artificial Intelligence for Enabling Human-Agent Teaming. - Qianghuai Jia, Ningyu Zhang, Nengwei Hua:
Context-aware Deep Model for Entity Recommendation in Search Engine at Alibaba. - Yu-Lun Hsieh, Minhao Cheng, Da-Cheng Juan, Wei Wei, Wen-Lian Hsu, Cho-Jui Hsieh:
Natural Adversarial Sentence Generation with Gradient-based Perturbation. - Jake Sherman, Chinmay Shukla, Rhonda Textor, Su Zhang, Amy A. Winecoff:
Assessing Fashion Recommendations: A Multifaceted Offline Evaluation Approach. - Qiong Wu, Zheng Zhang, Andrea Pizzoferrato, Mihai Cucuringu, Zhenming Liu:
A Deep Learning Framework for Pricing Financial Instruments. - Jason Lee, Kyunghyun Cho, Douwe Kiela:
Countering Language Drift via Visual Grounding. - Benedikt Pfülb, Christoph Hardegen, Alexander Gepperth, Sebastian Rieger:
A Study of Deep Learning for Network Traffic Data Forecasting. - Arquimedes Canedo, Palash Goyal, Di Huang, Amit Pandey:
ArduCode: Predictive Framework for Automation Engineering. - Mahmood Khosrowjerdi, Lutz Bornmann:
Is culture a contributing factor of strong science? - André G. C. Pacheco, Abder-Rahman Ali, Thomas Trappenberg:
Skin cancer detection based on deep learning and entropy to detect outlier samples. - Enoch Sakyi-Yeboah, Kwabena Doku-Amponsah:
Local Large Deviation Principle, Large Deviation Principle for the Signal -to- Interference and Noise Ratio Graph Models. - Haibo Yang, Xin Zhang, Minghong Fang, Jia Liu:
Byzantine-Resilient Stochastic Gradient Descent for Distributed Learning: A Lipschitz-Inspired Coordinate-wise Median Approach. - Håkon Hukkelås, Rudolf Mester, Frank Lindseth:
DeepPrivacy: A Generative Adversarial Network for Face Anonymization. - Andrew Gloster, Enda Carroll, Miguel D. Bustamante, Lennon Ó. Náraigh:
Efficient Interleaved Batch Matrix Solvers for CUDA. - Michael Feldmann, Thorsten Götte, Christian Scheideler:
A Loosely Self-stabilizing Protocol for Randomized Congestion Control with Logarithmic Memory. - Jonas Pfeiffer, Aishwarya Kamath, Iryna Gurevych, Sebastian Ruder:
What do Deep Networks Like to Read? - Yujeong Choi, Minsoo Rhu:
PREMA: A Predictive Multi-task Scheduling Algorithm For Preemptible Neural Processing Units. - Jianshen Liu, Philip Kufeldt, Carlos Maltzahn:
MBWU: Benefit Quantification for Data Access Function Offloading. - Hyunbin Park, Dohyun Kim, Shiho Kim:
TMA: Tera-MACs/W Neural Hardware Inference Accelerator with a Multiplier-less Massive Parallel Processor. - Jan Moritz Joseph, Lennart Bamberg, Dominik Ermel, Behnam Razi Perjikolaei, Anna Drewes, Alberto García-Ortiz, Thilo Pionteck:
NoCs in Heterogeneous 3D SoCs: Co-Design of Routing Strategies and Microarchitectures. - Chris Piech, Sami Abu-El-Haija:
Human Languages in Source Code: Auto-Translation for Localized Instruction. - Nancy A. Lynch, Frederik Mallmann-Trenn:
Learning Hierarchically Structured Concepts. - Chenyang Lu, Gijs Dubbelman:
Semantic Foreground Inpainting from Weak Supervision. - Ramchalam Kinattinkara Ramakrishnan, Eyyüb Sari, Vahid Partovi Nia:
Differentiable Mask Pruning for Neural Networks. - Shali Jiang, Henry Chai, Javier Gonzalez, Roman Garnett:
Efficient nonmyopic Bayesian optimization and quadrature. - Sebastian Oberhoff:
Incompleteness Ex Machina. - Mihály Kovács, Annika Lang, Andreas Petersson:
Weak convergence of fully discrete finite element approximations of semilinear hyperbolic SPDE with additive noise. - Samet Taspinar, Manoranjan Mohanty, Nasir D. Memon:
Camera Fingerprint Extraction via Spatial Domain Averaged Frames. - Frédéric de Gournay, Jonas Kahn, Léo Lebrat:
Approximation of curves with piecewise constant or piecewise linear functions. - Bin Han, Vincenzo Sciancalepore, Xavier Costa-Pérez, Di Feng, Hans D. Schotten:
Multiservice-based Network Slicing Orchestration with Impatient Tenants. - Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg:
Road Mapping In LiDAR Images Using A Joint-Task Dense Dilated Convolutions Merging Network. - Frank Schweitzer, Pavlin Mavrodiev, Adrian M. Seufert, David García:
Modeling User Reputation in Online Social Networks: The Role of Costs, Benefits, and Reciprocity. - Jing Zhu, Yunxiao Shi, Mengwei Ren, Yi Fang, Kuo-Chin Lien, Junli Gu:
Structure-Attentioned Memory Network for Monocular Depth Estimation. - Rupal Agravat, Mehul S. Raval:
Prediction of Overall Survival of Brain Tumor Patients. - José F. Rodrigues Jr., Gabriel Spadon, Bruno Brandoli, Sihem Amer-Yahia:
Patient trajectory prediction in the Mimic-III dataset, challenges and pitfalls. - Vivek Veeriah, Matteo Hessel, Zhongwen Xu, Richard L. Lewis, Janarthanan Rajendran, Junhyuk Oh, Hado van Hasselt, David Silver, Satinder Singh:
Discovery of Useful Questions as Auxiliary Tasks. - Suren Deepak Rajasekaran, Hao Kang, Bedrich Benes, Martin Cadík, Eric Galin, Eric Guérin, Adrien Peytavie, Pavel Slavík:
PTRM: Perceived Terrain Realism Metrics. - Brian Lavallee, Hayley Russell, Blair D. Sullivan, Andrew van der Poel:
Approximating Vertex Cover using Structural Rounding. - Fernando G. S. L. Brandão, Richard Kueng, Daniel Stilck França:
Faster quantum and classical SDP approximations for quadratic binary optimization. - Weiwei Song, Shutao Li, Jón Atli Benediktsson:
Deep Hashing Learning for Visual and Semantic Retrieval of Remote Sensing Images. - Armin Sadeghi, Stephen L. Smith:
On Re-Balancing Self-Interested Agents in Ride-Sourcing Transportation Networks. - Haidar Mohamad, Marcel Oliver:
Numerical integration of functions of a rapidly rotating phase. - Tuhin Sarkar, Alexander Rakhlin, Munther A. Dahleh:
Nonparametric System identification of Stochastic Switched Linear Systems. - Aixiu An, Peng Qian, Ethan Wilcox, Roger Levy:
Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study. - Aravind Rajeswaran, Chelsea Finn, Sham M. Kakade, Sergey Levine:
Meta-Learning with Implicit Gradients. - Lu Gan, Ray Zhang, Jessy W. Grizzle, Ryan M. Eustice, Maani Ghaffari Jadidi:
Bayesian Spatial Kernel Smoothing for ScalableDense Semantic Mapping. - Sara N. Pollock, Leo G. Rebholz:
Anderson acceleration for contractive and noncontractive operators. - Jean-Pierre Eckmann, Farbod Hassani:
Relativistic changes to particle trajectories are difficult to detect. - Tianyi Liu, Minshuo Chen, Mo Zhou, Simon S. Du, Enlu Zhou, Tuo Zhao:
Towards Understanding the Importance of Shortcut Connections in Residual Networks. - Rahul Tallamraju, Pulkit Verma, Venkatesh Sripada, Shrey Agrawal, Kamalakar Karlapalem:
Energy Conscious Over-actuated Multi-Agent Payload Transport Robot: Simulations and Preliminary Physical Validation. - Tengda Han, Weidi Xie, Andrew Zisserman:
Video Representation Learning by Dense Predictive Coding. - Jie Gao, Lian Zhao, Xuemin Shen:
The Study of Dynamic Caching via State Transition Field - the Case of Time-Invariant Popularity. - Jie Gao, Lian Zhao, Xuemin Shen:
The Study of Dynamic Caching via State Transition Field - the Case of Time-Varying Popularity. - Ramita Maharjan, Ajay Kumar Shrestha, Rejina Basnet:
Image Steganography: Protection of Digital Properties against Eavesdropping. - Shaofan Cai, Xiaoshuai Zhang, Haoqiang Fan, Haibin Huang, Jiangyu Liu, Jiaming Liu, Jiaying Liu, Jue Wang, Jian Sun:
Disentangled Image Matting. - Binod Bhattarai, Seungryul Baek, Rumeysa Bodur, Tae-Kyun Kim:
Sampling Strategies for GAN Synthetic Data. - David Fridovich-Keil, Ellis Ratner, Anca D. Dragan, Claire J. Tomlin:
Efficient Iterative Linear-Quadratic Approximations for Nonlinear Multi-Player General-Sum Differential Games. - Arijit Ray, Karan Sikka, Ajay Divakaran, Stefan Lee, Giedrius Burachas:
Sunny and Dark Outside?! Improving Answer Consistency in VQA through Entailed Question Generation. - Zheyu Yan, Yiyu Shi, Wang Liao, Masanori Hashimoto, Xichuan Zhou, Cheng Zhuo:
When Single Event Upset Meets Deep Neural Networks: Observations, Explorations, and Remedies. - Kamrun Naher Keya, Yannis Papanikolaou, James R. Foulds:
Neural Embedding Allocation: Distributed Representations of Topic Models. - Chaya Levinger, Noam Hazon, Amos Azaria:
Fair Sharing: The Shapley Value for Ride-Sharing and Routing Games. - Ahmed Khaled, Konstantin Mishchenko, Peter Richtárik:
First Analysis of Local GD on Heterogeneous Data. - Ahmed Khaled, Peter Richtárik:
Gradient Descent with Compressed Iterates. - Haifeng Qian:
Neural Belief Reasoner. - Jun Sur Richard Park, Siu Wun Cheung, Tina Mai, Viet Ha Hoang:
Multiscale simulations for upscaled multi-continuum flows. - Navdeep Kaur, Gautam Kunapuli, Saket Joshi, Kristian Kersting, Sriraam Natarajan:
Neural Networks for Relational Data. - Iqbal H. Sarker, Alan Colman, Jun Han, A. S. M. Kayes, Paul A. Watters:
CalBehav: A Machine Learning based Personalized Calendar Behavioral Model using Time-Series Smartphone Data. - Niket Tandon, Bhavana Dalvi Mishra, Keisuke Sakaguchi, Antoine Bosselut, Peter Clark:
WIQA: A dataset for "What if..." reasoning over procedural text. - Tete Xiao, Quanfu Fan, Dan Gutfreund, Mathew Monfort, Aude Oliva, Bolei Zhou:
Reasoning About Human-Object Interactions Through Dual Attention Networks. - Bhavana Dalvi Mishra, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark:
Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text. - Ahmed Khaled, Konstantin Mishchenko, Peter Richtárik:
Better Communication Complexity for Local SGD. - Madeleine Bartlett, Daniel Hernández García, Serge Thill, Tony Belpaeme:
Recognizing Human Internal States: A Conceptor-Based Approach. - Meng Xia, Huan Wei, Min Xu, Leo Yu-Ho Lo, Yong Wang, Rong Zhang, Huamin Qu:
Visual Analytics of Student Learning Behaviors on K-12 Mathematics E-learning Platforms. - Saleh Khalaj Monfared, Omid Hajihassani, Soroush Meghdadi Zanjani, Sina Kiarostami, Dara Rahmati, Saeid Gorgin:
High-performance Cryptographically Secure Pseudo-random Number Generation via Bitslicing. - Yue Zheng:
Reinforcement Learning and Video Games. - Changqing Xu, Wenrui Zhang, Yu Liu, Peng Li:
Boosting Throughput and Efficiency of Hardware Spiking Neural Accelerators using Time Compression Supporting Multiple Spike Codes. - Xiangci Li, Gully A. Burns, Nanyun Peng:
Discourse Tagging for Scientific Evidence Extraction. - Swati Gupta, Ali Khodabakhsh, Hassan Mortagy, Evdokia Nikolova:
Electrical Flows over Spanning Trees. - Venktesh Pandey, Evana Wang, Stephen D. Boyles:
Deep Reinforcement Learning Algorithm for Dynamic Pricing of Express Lanes with Multiple Access Locations. - Julian Eisenschlos, Sebastian Ruder, Piotr Czapla, Marcin Kardas, Sylvain Gugger, Jeremy Howard:
MultiFiT: Efficient Multi-lingual Language Model Fine-tuning. - M. Imran Azim, S. A. Pourmousavi, Wayes Tushar, Tapan Kumar Saha:
Feasibility Study of Financial P2P Energy Trading in a Grid-tied Power Network. - Yongjune Kim, Yuval Cassuto, Lav R. Varshney:
Boosting Classifiers with Noisy Inference. - Marc Dalmasso, Anaís Garrell, Pablo Jiménez, Alberto Sanfeliu:
Human-robot Collaborative Navigation Search using Social Reward Sources. - Oscar Luis Vera-Pérez, Benjamin Danglot, Martin Monperrus, Benoit Baudry:
Suggestions on Test Suite Improvements with Automatic Infection and Propagation Analysis. - Rishita Kalyani:
Understanding user search processes across varying cognitive levels. - Robert Podschwadt, Hassan Takabi:
Effectiveness of Adversarial Examples and Defenses for Malware Classification. - Eitan Rothberg, Tingting Chen, Luo Jie, Hao Ji:
Localized Adversarial Training for Increased Accuracy and Robustness in Image Classification. - Samuel S. Ogden, Tian Guo:
Characterizing the Deep Neural Networks Inference Performance of Mobile Applications. - Austin Conner, Fulvio Gesmundo, Joseph M. Landsberg, Emanuele Ventura:
Kronecker powers of tensors and Strassen's laser method. - Bohan Wu, Iretiayo Akinola, Jacob Varley, Peter K. Allen:
MAT: Multi-Fingered Adaptive Tactile Grasping via Deep Reinforcement Learning. - Shabnam Daghaghi, Tharun Medini, Anshumali Shrivastava:
Semantic Similarity Based Softmax Classifier for Zero-Shot Learning. - Alireza Ghods, Diane J. Cook:
A Survey of Techniques All Classifiers Can Learn from Deep Networks: Models, Optimizations, and Regularization. - Evangelia Spiliopoulou, Eduard H. Hovy:
Definition Frames: Using Definitions for Hybrid Concept Representations. - Badri N. Patro, Anupriy, Vinay P. Namboodiri:
Probabilistic framework for solving Visual Dialog. - Ruhui Jin, Tamara G. Kolda, Rachel A. Ward:
Faster Johnson-Lindenstrauss Transforms via Kronecker Products. - Ehsan Amid, Manfred K. Warmuth:
An Implicit Form of Krasulina's k-PCA Update without the Orthonormality Constraint. - Sulabh Kumra, Shirin Joshi, Ferat Sahin:
Antipodal Robotic Grasping using Generative Residual Convolutional Neural Network. - Justin W. Hart, Nick DePalma, Richard G. Freedman, Luca Iocchi, Matteo Leonetti, Katrin S. Lohan, Ross Mead, Emmanuel Senft, Jivko Sinapov, Elin Anna Topp, Tom Williams:
Proceedings of the AI-HRI Symposium at AAAI-FSS 2019. - Yukun Zhou, Zailiang Chen, Hailan Shen, Qing Liu, Rongchang Zhao, Yixiong Liang:
Dual-attention Focused Module for Weakly Supervised Object Localization. - Elaheh ShafieiBavani, Antonio Jimeno-Yepes, Xu Zhong:
Global Locality in Event Extraction. - Haidong Rong, Yangzihao Wang, Feihu Zhou, Junjie Zhai, Haiyang Wu, Rui Lan, Fan Li, Han Zhang, Yuekui Yang, Zhenyu Guo, Di Wang:
Distributed Equivalent Substitution Training for Large-Scale Recommender Systems. - Ruud van Deursen, Peter Ertl, Igor V. Tetko, Guillaume Godin:
GEN: Highly Efficient SMILES Explorer Using Autodidactic Generative Examination Networks. - Pratik Ratadiya, Rahul Moorthy:
Spam filtering on forums: A synthetic oversampling based approach for imbalanced data classification. - Ingrid Hotz, Roxana Bujack, Christoph Garth, Bei Wang:
Mathematical Foundations in Visualization. - Xiaojun Jia, Xingxing Wei, Xiaochun Cao:
Identifying and Resisting Adversarial Videos Using Temporal Consistency. - Mirmojtaba Gharibi, Raouf Boutaba, Steven L. Waslander:
3D traffic flow model for UAVs. - Hang Yu, Aishan Liu, Xianglong Liu, Jichen Yang, Chongzhi Zhang:
Towards Noise-Robust Neural Networks via Progressive Adversarial Training. - Yang Yang, Hengyue Liang, Changhyun Choi:
A Deep Learning Approach to Grasping the Invisible. - Mohammadkazem Taram, Ashish Venkat, Dean M. Tullsen:
Packet Chasing: Spying on Network Packets over a Cache Side-Channel. - Jonas Mueller, Alex Smola:
Recognizing Variables from their Data via Deep Embeddings of Distributions. - Mehdi Neshat, Bradley Alexander, Angus R. Simpson:
Covariance Matrix Adaptation Greedy Search Applied to Water Distribution System Optimization. - Eugene Ie, Chih-Wei Hsu, Martin Mladenov, Vihan Jain, Sanmit Narvekar, Jing Wang, Rui Wu, Craig Boutilier:
RecSim: A Configurable Simulation Platform for Recommender Systems. - Sewon Min, Danqi Chen, Hannaneh Hajishirzi, Luke Zettlemoyer:
A Discrete Hard EM Approach for Weakly Supervised Question Answering. - Tung Phan-Minh, Karena X. Cai, Richard M. Murray:
Towards Assume-Guarantee Profiles for Autonomous Vehicles. - Chanho Ahn, Eunwoo Kim, Songhwai Oh:
Deep Elastic Networks with Model Selection for Multi-Task Learning. - Stephen Gould, Richard Hartley, Dylan Campbell:
Deep Declarative Networks: A New Hope. - (Withdrawn) Are Sampling Heuristics Necessary in Object Detectors?
- Ming Zhang, Yiming Chen, Xiangyu Xu, Mingyang Li:
A Lightweight and Accurate Localization Algorithm Using Multiple Inertial Measurement Units. - Salvador Abreu, Petra Hofstedt, Ulrich John, Herbert Kuchen, Dietmar Seipel:
Pre-proceedings of the DECLARE 2019 Conference. - Libor Barto:
Algebraic Theory of Promise Constraint Satisfaction Problems, First Steps. - Libor Barto:
Promises Make Finite (Constraint Satisfaction) Problems Infinitary. - Michiki Kurosawa, Mamoru Komachi:
Dynamic Fusion: Attentional Language Model for Neural Machine Translation. - Joshua Shinavier, Ryan Wisnesky:
Algebraic Property Graphs. - Jian Li, Yong Liu, Weiping Wang:
Learning Vector-valued Functions with Local Rademacher Complexity. - Michael Kaufmann, Kornilios Kourtis, Celestine Mendler-Dünner, Adrian Schüpbach, Thomas P. Parnell:
Addressing Algorithmic Bottlenecks in Elastic Machine Learning with Chicle. - Xiaozhe Gu, Arvind Easwaran:
Towards Safe Machine Learning for CPS: Infer Uncertainty from Training Data. - Marco Mondelli, Seyyed Ali Hashemi, John M. Cioffi, Andrea Goldsmith:
Sublinear Latency for Simplified Successive Cancellation Decoding of Polar Codes. - Jian Li, Yong Liu, Weiping Wang:
Automated Spectral Kernel Learning. - Jaume del Olmo, Javier R. Fonollosa:
Polar Coding for the Wiretap Broadcast Channel with Multiple Messages. - Sascha Duczek, Albert Artha Saputra, Hauke Gravenkamp:
High order transition elements: The xNy-element concept - Part I: Statics. - Igor E. Kuralenok, Yurii Rebryk, Ruslan Solovev, Anton Ermilov:
Factorized MultiClass Boosting. - Nathalie Majcherczyk, Carlo Pinciroli:
SwarmMesh: A Distributed Data Structure for Cooperative Multi-Robot Applications. - Hidenori Ogata:
A numerical method of computing oscillatory integral related to hyperfunction theory. - Dong Quan Vu, Patrick Loiseau, Alonso Silva:
Combinatorial Bandits for Sequential Learning in Colonel Blotto Games. - Jia Li, Jinming Su, Changqun Xia, Yonghong Tian:
Distortion-adaptive Salient Object Detection in 360° Omnidirectional Images. - Shahbaz Abdul Khader, Hang Yin, Pietro Falco, Danica Kragic:
Probabilistic Model Learning and Long-term Prediction for Contact-rich Manipulation Tasks. - Lukasz Augustyniak, Tomasz Kajdanowicz, Przemyslaw Kazienko:
Comprehensive Analysis of Aspect Term Extraction Methods using Various Text Embeddings. - Zhaoli Guo, Jiequan Li, Kun Xu:
On unified preserving properties of kinetic schemes. - Betty van Aken, Benjamin Winter, Alexander Löser, Felix A. Gers:
How Does BERT Answer Questions? A Layer-Wise Analysis of Transformer Representations. - Vinay Jethava:
On weighted uncertainty sampling in active learning. - Mustafa Teke, Yasemin Yardimci:
Multi-Year Vector Dynamic Time Warping Based Crop Mapping. - Jiaxiang Tang, Wei Hu, Xiang Gao, Zongming Guo:
Joint Learning of Graph Representation and Node Features in Graph Convolutional Neural Networks. - James Kempf, Sambit Nayak, Remi Robert, Jim Feng, Kunal Rajan Deshmukh, Anshu Shukla, Aleksandra Obeso Duque, Nanjangud C. Narendra, Johan Sjöberg:
The Nubo Virtual Services Marketplace. - Hassan Ismail Fawaz, Benjamin Lucas, Germain Forestier, Charlotte Pelletier, Daniel F. Schmidt, Jonathan Weber, Geoffrey I. Webb, Lhassane Idoumghar, Pierre-Alain Muller, François Petitjean:
InceptionTime: Finding AlexNet for Time Series Classification. - Peiliang Li, Siqi Liu, Shaojie Shen:
Multi-Sensor 3D Object Box Refinement for Autonomous Driving. - Ayesha Abdul Majeed, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese:
Performance Estimation of Container-Based Cloud-to-Fog Offloading. - Carlos Mastalli, Rohan Budhiraja, Wolfgang Merkt, Guilhem Saurel, Bilal Hammoud, Maximilien Naveau, Justin Carpentier, Sethu Vijayakumar, Nicolas Mansard:
Crocoddyl: An Efficient and Versatile Framework for Multi-Contact Optimal Control. - Timo I. Denk, Christian Reisswig:
BERTgrid: Contextualized Embedding for 2D Document Representation and Understanding. - Muhammad Haris Khan, John McDonagh, Salman H. Khan, Muhammad Shahabuddin, Aditya Arora, Fahad Shahbaz Khan, Ling Shao, Georgios Tzimiropoulos:
AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces. - Guillaume Cabanac, Ingo Frommholz, Philipp Mayr:
Report on the 8th International Workshop on Bibliometric-enhanced Information Retrieval (BIR 2019). - Martina Ruocco, Marwa Larafa, Silvia Rossi:
Emotional Distraction for Children Anxiety Reduction During Vaccination. - Zhaoyang Zeng, Bei Liu, Jianlong Fu, Hongyang Chao, Lei Zhang:
WSOD^2: Learning Bottom-up and Top-down Objectness Distillation for Weakly-supervised Object Detection. - Faraz Ahmad Khan, Ahmed Bouridane, Richard Jiang, Tiancheng Xia, Paul L. Chazot, Abdel Ennaceur:
Computer-Aided Automated Detection of Gene-Controlled Social Actions of Drosophila. - Zhaohui Yang, Yunhe Wang, Xinghao Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, Chang Xu:
CARS: Continuous Evolution for Efficient Neural Architecture Search. - Xuezhi Yang:
Returning to Shannon's Original Sense. - Krishnendu Chatterjee, Wolfgang Dvorák, Monika Henzinger, Alexander Svozil:
Quasipolynomial Set-Based Symbolic Algorithms for Parity Games. - Edouard Delasalles, Sylvain Lamprier, Ludovic Denoyer:
Learning Dynamic Author Representations with Temporal Language Models. - Zipeng Wang, Zhaoxiang Liu, Jianfeng Huang, Shiguo Lian, Yimin Lin:
How Old Are You? Face Age Translation with Identity Preservation Using GANs. - Jacob Hernandez Sanchez, Walid Amanhoud, Anaïs Haget, Hannes Bleuler, Aude Billard, Mohamed Bouri:
Four-Arm Manipulation via Feet Interfaces. - Thomas Eiter, Zeynep G. Saribatur, Peter Schüller:
Abstraction for Zooming-In to Unsolvability Reasons of Grid-Cell Problems. - Yongseok Choi, Junyoung Park, Subin Yi, Dong-Yeon Cho:
Few-Shot Classification on Unseen Domains by Learning Disparate Modulators. - Alexander Makrigiorgos, Ali Shafti, Alex Harston, Julien Gerard, A. Aldo Faisal:
Human Visual Attention Prediction Boosts Learning & Performance of Autonomous Driving Agents. - Arpan Kusari, Jonathan P. How:
Predicting optimal value functions by interpolating reward functions in scalarized multi-objective reinforcement learning. - Michaela Blott, Lisa Halder, Miriam Leeser, Linda Doyle:
QuTiBench: Benchmarking Neural Networks on Heterogeneous Hardware. - Jingwen Wang, Lin Ma, Wenhao Jiang:
Temporally Grounding Language Queries in Videos by Contextual Boundary-aware Prediction. - Richard Csaky:
Proposal Towards a Personalized Knowledge-powered Self-play Based Ensemble Dialog System. - Kettip Kriangchaivech, Artit Wangperawong:
Question Generation by Transformers. - Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang:
Learning to Propagate for Graph Meta-Learning. - Nicolas Tabareau, Éric Tanter, Matthieu Sozeau:
The Marriage of Univalence and Parametricity. - Ajay Kumar Shrestha, Ralph Deters, Julita Vassileva:
User-Controlled Privacy-Preserving User Profile Data Sharing based on Blockchain. - Chamin Hewa Koneputugodage, Rhys Healy, Sean Lamont, Ian Mallett, Matt Brown, Matt Walters, Ushini Attanayake, Libo Zhang, Roger T. Dean, Alexander Hunter, Charles Gretton, Christian Walder:
Computer Assisted Composition in Continuous Time. - Andreas Orthey, Benjamin Frész, Marc Toussaint:
Motion Planning Explorer: Visualizing Local Minima using a Local-Minima Tree. - Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Azzurra Ragone, Joseph Trotta:
How to make latent factors interpretable by feeding Factorization machines with knowledge graphs. - Francesco Croce, Matthias Hein:
Sparse and Imperceivable Adversarial Attacks. - (Withdrawn) Iterative versus Exhaustive Data Selection for Cross Project Defect Prediction: An Extended Replication Study.
- Jonas Schouterden, Jesse Davis, Hendrik Blockeel:
LazyBum: Decision tree learning using lazy propositionalization. - Timo Koch, Dennis Gläser, Kilian Weishaupt, Sina Ackermann, Martin Beck, Beatrix Becker, Samuel Burbulla, Holger Class, Edward Coltman, Simon Emmert, Thomas Fetzer, Christoph Grüninger, Katharina Heck, Johannes Hommel, Theresa Kurz, Melanie Lipp, Farid Mohammadi, Samuel Scherrer, Martin Schneider, Gabriele Seitz, Leopold Stadler, Martin Utz, Felix Weinhardt, Bernd Flemisch:
DuMux 3 - an open-source simulator for solving flow and transport problems in porous media with a focus on model coupling. - Jue Jiang, Elguindi Sharif, Hyemin Um, Sean Berry, Harini Veeraraghavan:
Local block-wise self attention for normal organ segmentation. - (Withdrawn) Generalized Optimal Two-way Relays Subsets Pairings in Cloud-based Region Cognitive Networks.
- Naman Agarwal, Elad Hazan, Karan Singh:
Logarithmic Regret for Online Control. - Xiaolong Ma, Fu-Ming Guo, Wei Niu, Xue Lin, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang:
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices. - Ryan Bernstein:
Static Analysis for Probabilistic Programs. - Akrati Saxena, Pratishtha Saxena, Harita Reddy, Ralucca Gera:
A Survey on Studying the Social Networks of Students. - Ernst Moritz Hahn, Mateo Perez, Fabio Somenzi, Ashutosh Trivedi, Sven Schewe, Dominik Wojtczak:
Good-for-MDPs Automata. - Amit Gurung, Sangyal Lama Tamang:
Image Segmentation using Multi-Threshold technique by Histogram Sampling. - Eva Vanmassenhove, Christian Hardmeier, Andy Way:
Getting Gender Right in Neural Machine Translation. - Abulikemu Abuduweili, Siyan Li, Changliu Liu:
Adaptable Human Intention and Trajectory Prediction for Human-Robot Collaboration. - Kun Zhang, Peng He, Ping Yao, Ge Chen, Chuanguang Yang, Huimin Li, Li Fu, Tianyao Zheng:
DNANet: De-Normalized Attention Based Multi-Resolution Network for Human Pose Estimation. - Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Jian Tang, Antonio Ortega:
Structural Robustness for Deep Learning Architectures. - Jinao Zhang, Sunita Chauhan:
Real-time computation of bio-heat transfer in the fast explicit dynamics finite element algorithm (FED-FEM) framework. - Clément Christophe, Julien Velcin, Jairo Cugliari, Philippe Suignard, Manel Boumghar:
How to detect novelty in textual data streams? A comparative study of existing methods. - (Withdrawn) Group Representation Theory for Knowledge Graph Embedding.
- Bastian Alt, Adrian Sosic, Heinz Koeppl:
Correlation Priors for Reinforcement Learning. - Cesar Santoyo, Maxence Dutreix, Samuel Coogan:
A Barrier Function Approach to Finite-Time Stochastic System Verification and Control. - Hirofumi Tsuda:
Bound on Peak-to-Average Power Ratio with Moment and Reduction Method. - Alan Lundgard, Crystal Lee, Arvind Satyanarayan:
Sociotechnical Considerations for Accessible Visualization Design. - Christophe Braun, Andra M. Voicu, Ljiljana Simic, Petri Mähönen:
Should We Worry About Interference in Emerging Dense NGSO Satellite Constellations? - Xiaoli Li, Jie Shen:
Error analysis of the SAV-MAC scheme for the Navier-Stokes equations. - Xuesu Xiao, Jan Dufek, Robin R. Murphy:
Robot Risk-Awareness by Formal Risk Reasoning and Planning. - Bo Li, Shanshan Tang, Haijun Yu:
PowerNet: Efficient Representations of Polynomials and Smooth Functions by Deep Neural Networks with Rectified Power Units. - Hao Lan, Yin Tong, Jin Guo, Carla Seatzu:
Verification of infinite-step and K-step opacity Using Petri Nets. - Vinay Kumar V, P. Nagabhushan:
Appearance invariant Entry-Exit matching using visual soft biometric traits. - Amarnath R, P. Nagabhushan, Mohammed Javed:
Word and character segmentation directly in run-length compressed handwritten document images. - Carlos E. Luis, Marijan Vukosavljev, Angela P. Schoellig:
Online Trajectory Generation with Distributed Model Predictive Control for Multi-Robot Motion Planning. - Alireza Rahimpour, Sujitha Martin, Ashish Tawari, Hairong Qi:
Context Aware Road-user Importance Estimation (iCARE). - Gustavo Aguilar, Thamar Solorio:
From English to Code-Switching: Transfer Learning with Strong Morphological Clues. - Mohammad Safeea, Pedro Neto, Richard Bearee:
On-line collision avoidance for collaborative robot manipulators by adjusting off-line generated paths: An industrial use case. - Muneeb Imtiaz Ahmad, Jasmin Bernotat, Katrin S. Lohan, Friederike Eyssel:
Trust and Cognitive Load During Human-Robot Interaction. - Ziqi Wang, Jiahui Li, Seyran Khademi, Jan van Gemert:
Attention-Aware Age-Agnostic Visual Place Recognition. - Okan Köpüklü, Fabian Herzog, Gerhard Rigoll:
Comparative Analysis of CNN-based Spatiotemporal Reasoning in Videos. - Gustavo Aguilar, Thamar Solorio:
Dependency-Aware Named Entity Recognition with Relative and Global Attentions. - Kacper Sokol, Raúl Santos-Rodríguez, Peter A. Flach:
FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability and Transparency. - Ling Feng, Choy Heng Lai:
Optimal Machine Intelligence Near the Edge of Chaos. - Jie Ren, Jiaolin Luo, Kai Wu, Minjia Zhang, Dong Li:
Sentinel: Runtime Data Management on Heterogeneous Main MemorySystems for Deep Learning. - Aaron Halfaker, R. Stuart Geiger:
ORES: Lowering Barriers with Participatory Machine Learning in Wikipedia. - Xiao Ding, Kuo Liao, Ting Liu, Zhongyang Li, Junwen Duan:
Event Representation Learning Enhanced with External Commonsense Knowledge. - Bernhard Lutz, Nicolas Pröllochs, Dirk Neumann:
The Longer the Better? The Interplay Between Review Length and Line of Argumentation in Online Consumer Reviews. - Adnan Siraj Rakin, Zhezhi He, Deliang Fan:
TBT: Targeted Neural Network Attack with Bit Trojan. - Jan Carius, Farbod Farshidian, Marco Hutter:
MPC-Net: A First Principles Guided Policy Search. - Oded Naor, Mathieu Baudet, Dahlia Malkhi, Alexander Spiegelman:
Lumière: Byzantine View Synchronization. - Elad Hazan:
Introduction to Online Convex Optimization. - Baichuan Huang, Jun Zhao, Jingbin Liu:
A Survey of Simultaneous Localization and Mapping. - Cyrus Anderson, Ram Vasudevan, Matthew Johnson-Roberson:
On-Demand Trajectory Predictions for Interaction Aware Highway Driving. - Yilun Zhou, Derrik E. Asher, Nicholas R. Waytowich, Julie A. Shah:
On Memory Mechanism in Multi-Agent Reinforcement Learning. - Ankur Arjun Mali, Alexander Ororbia, C. Lee Giles:
The Neural State Pushdown Automata. - Qi Qian, Lei Shang, Baigui Sun, Juhua Hu, Hao Li, Rong Jin:
SoftTriple Loss: Deep Metric Learning Without Triplet Sampling. - Thiago D. Simão, Romain Laroche, Rémi Tachet des Combes:
Safe Policy Improvement with an Estimated Baseline Policy. - Davide Beretta, Samuele Grillo, Davide Pigoli, Enea Bionda, Claudio Bossi, Carlo Tornelli:
Functional Principal Component Analysis as a Versatile Technique to Understand and Predict the Electric Consumption Patterns. - Massimo Bartoletti, Ludovic Henrio, Anastasia Mavridou, Alceste Scalas:
Proceedings 12th Interaction and Concurrency Experience, ICE 2019, Copenhagen, Denmark, 20-21 June 2019. EPTCS 304, 2019 [contents] - Fabian Schillinger, Christian Schindelhauer:
Crucial and Redundant Shares and Compartments in Secret Sharing. - Mansour Saffar Mehrjardi, Amine Trabelsi, Osmar R. Zaïane:
Self-Attentional Models Application in Task-Oriented Dialogue Generation Systems. - David C. Parkes, Rakesh V. Vohra, et al.:
Algorithmic and Economic Perspectives on Fairness. - Lin Pan, Rishav Chakravarti, Anthony Ferritto, Michael R. Glass, Alfio Gliozzo, Salim Roukos, Radu Florian, Avirup Sil:
Frustratingly Easy Natural Question Answering. - Shuyang Dai, Yu Cheng, Yizhe Zhang, Zhe Gan, Jingjing Liu, Lawrence Carin:
Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation. - Baptiste Barreau, Laurent Carlier, Damien Challet:
Deep Prediction of Investor Interest: a Supervised Clustering Approach. - I. S. W. B. Prasetya, Rick Klomp:
Test Model Coverage Analysis under Uncertainty. - Fabian Bolte, Stefan Bruckner:
Measures in Visualization Space. - Boyang Li, Jie Wu, Yiyu Shi:
Privacy-Aware Cost-Effective Scheduling Considering Non-Schedulable Appliances in Smart Home. - Mohammadhosein Hasanbeig, Yiannis Kantaros, Alessandro Abate, Daniel Kroening, George J. Pappas, Insup Lee:
Reinforcement Learning for Temporal Logic Control Synthesis with Probabilistic Satisfaction Guarantees. - Tazin Afrin, Diane J. Litman:
Identifying Editor Roles in Argumentative Writing from Student Revision Histories. - Tazin Afrin, Diane J. Litman:
Annotation and Classification of Sentence-level Revision Improvement. - Przemyslaw Spurek, Tomasz Danel, Jacek Tabor, Marek Smieja, Lukasz Struski, Agnieszka Slowik, Lukasz Maziarka:
Geometric Graph Convolutional Neural Networks. - Shangwen Lv, Daya Guo, Jingjing Xu, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Songlin Hu:
Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering. - Xueyuan She, Yun Long, Daehyun Kim, Saibal Mukhopadhyay:
ScieNet: Deep Learning with Spike-assisted Contextual Information Extraction. - Junjie Hu, Yu Cheng, Zhe Gan, Jingjing Liu, Jianfeng Gao, Graham Neubig:
What Makes A Good Story? Designing Composite Rewards for Visual Storytelling. - Aryabrata Basu:
Tracking the untracked. - Yaqi Xie, Indu P. Bodala, Desmond C. Ong, David Hsu, Harold Soh:
Robot Capability and Intention in Trust-based Decisions across Tasks. - Roja Eini, Sherif Abdelwahed:
Learning-based Model Predictive Control for Smart Building Thermal Management. - Karl Cronburg, Samuel Z. Guyer:
Floorplan: Spatial Layout in Memory Management Systems. - Ayoosh Bansal, Jayati Singh, Yifan Hao, Jen-Yang Wen, Renato Mancuso, Marco Caccamo:
Cache Where you Want! Reconciling Predictability and Coherent Caching. - Sebastian U. Stich, Sai Praneeth Karimireddy:
The Error-Feedback Framework: Better Rates for SGD with Delayed Gradients and Compressed Communication. - Junfeng Wen, Russell Greiner, Dale Schuurmans:
Domain Aggregation Networks for Multi-Source Domain Adaptation. - Preksha Nema, Akash Kumar Mohankumar, Mitesh M. Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran:
Let's Ask Again: Refine Network for Automatic Question Generation. - Alankar Jain, Bhargavi Paranjape, Zachary C. Lipton:
Entity Projection via Machine Translation for Cross-Lingual NER. - Ming Tan, Yang Yu, Haoyu Wang, Dakuo Wang, Saloni Potdar, Shiyu Chang, Mo Yu:
Out-of-Domain Detection for Low-Resource Text Classification Tasks. - Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar, Arvind Neelakantan, Daniel Duckworth, Semih Yavuz, Ben Goodrich, Amit Dubey, Andy Cedilnik, Kyu-Young Kim:
Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset. - Paulo Quaresma, Vítor Beires Nogueira, Kashyap Raiyani, Roy Khristopher Bayot, Teresa Gonçalves:
From Textual Information Sources to Linked Data in the Agatha Project. - Rujun Han, Qiang Ning, Nanyun Peng:
Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction. - Xiang Gao, Yizhe Zhang, Sungjin Lee, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan:
Structuring Latent Spaces for Stylized Response Generation. - Prabhakar Gupta, Mayank Sharma, Kartik Pitale, Keshav Kumar:
Problems with automating translation of movie/TV show subtitles. - Armins Stepanjans, André Freitas:
Identifying and Explaining Discriminative Attributes. - Xing Wu, Tao Zhang, Liangjun Zang, Jizhong Han, Songlin Hu:
TransSent: Towards Generation of Structured Sentences with Discourse Marker. - Mingyang Zhou, Josh Arnold, Zhou Yu:
Building Task-Oriented Visual Dialog Systems Through Alternative Optimization Between Dialog Policy and Language Generation. - Marco Maggini, Giuseppe Marra, Stefano Melacci, Andrea Zugarini:
Learning in Text Streams: Discovery and Disambiguation of Entity and Relation Instances. - Yun Zhao:
An Auxiliary Classifier Generative Adversarial Framework for Relation Extraction. - Nathaniel Trask, Ravi G. Patel, Ben J. Gross, Paul J. Atzberger:
GMLS-Nets: A framework for learning from unstructured data. - Christopher Ré, Feng Niu, Pallavi Gudipati, Charles Srisuwananukorn:
Overton: A Data System for Monitoring and Improving Machine-Learned Products. - Xiaotian Xu, Yancy Diaz-Mercado:
Multi-Agent Control Using Coverage Over Time-Varying Domains. - Tao Yu, Rui Zhang, Heyang Er, Suyi Li, Eric Xue, Bo Pang, Xi Victoria Lin, Yi Chern Tan, Tianze Shi, Zihan Li, Youxuan Jiang, Michihiro Yasunaga, Sungrok Shim, Tao Chen, Alexander R. Fabbri, Zifan Li, Luyao Chen, Yuwen Zhang, Shreya Dixit, Vincent Zhang, Caiming Xiong, Richard Socher, Walter S. Lasecki, Dragomir R. Radev:
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases. - Oron Ashual, Lior Wolf:
Specifying Object Attributes and Relations in Interactive Scene Generation. - Stavros Sintos, Pankaj K. Agarwal, Jun Yang:
Selecting Data to Clean for Fact Checking: Minimizing Uncertainty vs. Maximizing Surprise. - Yang Zhang, Daniel Zhang, Nathan Vance, Dong Wang:
An Online Reinforcement Learning Approach to Quality-Cost-Aware Task Allocation for Multi-Attribute Social Sensing. - James I. Lathrop, Jack H. Lutz, Robyn R. Lutz, Hugh D. Potter, Matthew R. Riley:
Quorum Sensing and Verification in Chemical Reaction Networks. - Lixia Xiong, Nan Li, Haoyu Song:
Tiny Buffer TCP for Data Center Networks. - Tiancheng Xia, Richard Jiang, YongQing Fu, Nanlin Jin:
Automated Blood Cell Detection and Counting via Deep Learning for Microfluidic Point-of-Care Medical Devices. - Matthew J. Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, Xingdi Yuan:
Interactive Fiction Games: A Colossal Adventure. - Xueyuan She, Yun Long, Saibal Mukhopadhyay:
Improving Robustness of ReRAM-based Spiking Neural Network Accelerator with Stochastic Spike-timing-dependent-plasticity. - Jingliang Duan, Shengbo Eben Li, Zhengyu Liu, Monimoy Bujarbaruah, Bo Cheng:
Generalized Policy Iteration for Optimal Control in Continuous Time. - Yang Li, Florian Richter, Jingpei Lu, Emily K. Funk, Ryan K. Orosco, Jianke Zhu, Michael C. Yip:
SuPer: A Surgical Perception Framework for Endoscopic Tissue Manipulation with Surgical Robotics. - Kojiro Kobayashi:
Minimum firing times of firing squad synchronization problems for paths in grid spaces. - Kojiro Kobayashi:
The firing squad synchronization problem for squares with holes. - Leonardo A. F. Leite, Carla Rocha, Fabio Kon, Dejan S. Milojicic, Paulo Meirelles:
A Survey of DevOps Concepts and Challenges. - Yuqi Chen, Christopher M. Poskitt, Jun Sun, Sridhar Adepu, Fan Zhang:
Learning-Guided Network Fuzzing for Testing Cyber-Physical System Defences. - Mamdouh L. Alghaythi, Robert M. O'Connell, Naz E. Islam:
Design of a High Step-up DC-DC Power Converter with Voltage Multiplier Cells and Reduced Losses on Semiconductors for Photovoltaic Systems. - Mei Wang, Weizhi Li, Yan Yan:
Time-weighted Attentional Session-Aware Recommender System. - Samaneh Hosseini Semnani, Anton H. J. de Ruiter, Hugh Liu:
Force-based Algorithm for Motion Planning of Large Agent Teams. - Rebekka Burkholz, John Quackenbush:
Cascade Size Distributions and Why They Matter. - Hyoung-Kyu Song, Ebrahim Al Alkeem, Jaewoong Yun, Tae-Ho Kim, Hyerin Yoo, Dasom Heo, Chan Yeob Yeun, Myungsu Chae:
Deep User Identification Model with Multiple Biometrics. - Renjie Zheng, Mingbo Ma, Baigong Zheng, Liang Huang:
Speculative Beam Search for Simultaneous Translation. - Changhan Wang, Anirudh Jain, Danlu Chen, Jiatao Gu:
VizSeq: A Visual Analysis Toolkit for Text Generation Tasks. - Siyuan Dong, Alberto Rodriguez:
Tactile-Based Insertion for Dense Box-Packing. - Min Liu, Zherong Pan, Kai Xu, Dinesh Manocha:
New Formulation of Mixed-Integer Conic Programming for Globally Optimal Grasp Planning. - Yibo Sun, Duyu Tang, Nan Duan, Yeyun Gong, Xiaocheng Feng, Bing Qin, Daxin Jiang:
Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning. - Chang Song, Zuoguan Wang, Hai Li:
Feedback Learning for Improving the Robustness of Neural Networks. - Mohammad Pirhooshyaran, Lawrence V. Snyder, Katya Scheinberg:
Feature Engineering and Forecasting via Integration of Derivative-free Optimization and Ensemble of Sequence-to-sequence Networks: Renewable Energy Case Studies. - Junfan Chen, Richong Zhang, Yongyi Mao, Hongyu Guo, Jie Xu:
Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework. - Chen Xia, Haoxiang Zhang, Jacob Moghtader, Allen Wu, Kai-Wei Chang:
Visualizing Trends of Key Roles in News Articles. - Kaixuan Wang, Shaojie Shen:
Flow-Motion and Depth Network for Monocular Stereo and Beyond. - Vishnu Suresh Lokhande, Shaofei Wang, Maneesh Singh, Julian Yarkony:
Accelerating Column Generation via Flexible Dual Optimal Inequalities with Application to Entity Resolution. - Andrei Arusoaie:
A Formal Semantics of Findel in Coq (Short Paper). - Yongxin Chen, Tryphon T. Georgiou, Michele Pavon:
Covariance steering in zero-sum linear-quadratic two-player differential games. - Lijing Zhao, Xudong Wang:
Well-Conditioned Galerkin Spectral Method for Two-Sided Fractional Diffusion Equation with Drift. - Hussien Al-Hmood, Hamed S. Al-Raweshidy:
Further Applications of Wireless Communication Systems over α-η-κ-μ Fading Channels. - Wang-Cheng Kang, Julian J. McAuley:
Candidate Generation with Binary Codes for Large-Scale Top-N Recommendation. - Dexter R. R. Scobee, S. Shankar Sastry:
Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning. - Muhammad Nabeel Asim, Muhammad Usman Ghani Khan, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
A Robust Hybrid Approach for Textual Document Classification. - Vishnu Suresh Lokhande, Sathya N. Ravi, Songwong Tasneeyapant, Abhay Venkatesh, Vikas Singh:
Generating Accurate Pseudo-labels via Hermite Polynomials for SSL Confidently. - Saso Stanovnik, Matija Cankar:
On the similarities and differences between the Cloud, Fog and the Edge. - Simon Niklaus, Long Mai, Jimei Yang, Feng Liu:
3D Ken Burns Effect from a Single Image. - Tongxin Li, Lucien Werner, Steven H. Low:
Learning Graphs from Linear Measurements: Fundamental Trade-offs and Applications. - Xiaocheng Li, Yinyu Ye:
Online Linear Programming: Dual Convergence, New Algorithms, and Regret Bounds. - Ruoqi Shen, Yin Tat Lee:
The Randomized Midpoint Method for Log-Concave Sampling. - Christoph Stanik, Marlo Häring, Walid Maalej:
Classifying Multilingual User Feedback using Traditional Machine Learning and Deep Learning. - Zihao Wang, Xihui Liu, Hongsheng Li, Lu Sheng, Junjie Yan, Xiaogang Wang, Jing Shao:
CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval. - Wojciech Masarczyk, Przemyslaw Glomb, Bartosz Grabowski, Mateusz Ostaszewski:
Effective transfer learning for hyperspectral image classification with deep convolutional neural networks. - Giuseppe Paolo, Alban Laflaquière, Alexandre Coninx, Stéphane Doncieux:
Unsupervised Learning and Exploration of Reachable Outcome Space. - Yangyang Zhou, Dongyang Zhao:
Effects of Some Operations on Domination Chromatic Number in Graphs. - Alireza Amiraghdam, Renato Pajarola:
LOCALIS: Locally-adaptive Line Simplification for GPU-based Geographic Vector Data Visualization. - Niladri Sekhar Tripathy, Mohammadreza Chamanbaz, Roland Bouffanais:
Robust Stabilization of Resource Limited Networked Control Systems Under Denial-of-Service Attack. - Tommaso Pardi, Valerio Ortenzi, Colin Fairbairn, Tony Pipe, Amir M. Ghalamzan E., Rustam Stolkin:
Maximally manipulable vision-based motion planning for robotic rough-cutting on arbitrarily shaped surfaces. - Jörg Martin, Clemens Elster:
Inspecting adversarial examples using the Fisher information. - Weixin Liang, Youzhi Tian, Chengcai Chen, Zhou Yu:
MOSS: End-to-End Dialog System Framework with Modular Supervision. - Venkatraman Balasubramanian, Kees Kroep, Kishor Chandra Joshi, R. Venkatesha Prasad:
Reinforcing Edge Computing with Multipath TCP Enabled Mobile Device Clouds. - Robert Birke, Isabelly Rocha, Juan F. Pérez, Valerio Schiavoni, Pascal Felber, Lydia Y. Chen:
Differential Approximation and Sprinting for Multi-Priority Big Data Engines. - Armando Castañeda, Aurélie Hurault, Philippe Quéinnec, Matthieu Roy:
Tasks in Modular Proofs of Concurrent Algorithms. - Krishnendu Chatterjee, Wolfgang Dvorák, Monika Henzinger, Alexander Svozil:
Near-Linear Time Algorithms for Streett Objectives in Graphs and MDPs. - Blai Bonet, Hector Geffner:
Learning First-Order Symbolic Planning Representations from Plain Graphs. - Simon N. Chandler-Wilde, David P. Hewett, Andrea Moiola, Jeanne Besson:
Boundary element methods for acoustic scattering by fractal screens. - Jakub Náplava, Milan Straka:
CUNI System for the Building Educational Applications 2019 Shared Task: Grammatical Error Correction. - Yutian Chen, Abram L. Friesen, Feryal M. P. Behbahani, David Budden, Matthew W. Hoffman, Arnaud Doucet, Nando de Freitas:
Modular Meta-Learning with Shrinkage. - Ricardo Darío Pérez Principi, Cristina Palmero, Júlio C. S. Jacques Júnior, Sergio Escalera:
On the Effect of Observed Subject Biases in Apparent Personality Analysis from Audio-visual Signals. - Michal Kleinbort, Kiril Solovey, Riccardo Bonalli, Kostas E. Bekris, Dan Halperin:
RRT2.0 for Fast and Optimal Kinodynamic Sampling-Based Motion Planning. - Michel Raynal, Gadi Taubenfeld:
Fully Anonymous Shared Memory Algorithms. - Tianyu Zhao, Hanling Yi, Minghua Chen, Chenye Wu, Yunjian Xu:
Efficient and Robust Equilibrium Strategies of Utilities in Day-ahead Market with Load Uncertainty. - Yannik Potdevin, Dirk Nowotka, Vijay Ganesh:
An Empirical Investigation of Randomized Defenses against Adversarial Attacks. - Isaac Oscar Gariano, Richard Roberts, Stefan Marr, Michael Homer, James Noble:
Which of My Transient Type Checks Are Not (Almost) Free? - Ana-Andreea Stoica, Abhijnan Chakraborty, Palash Dey, Krishna P. Gummadi:
Minimizing Margin of Victory for Fair Political and Educational Districting. - Mohammad Javad Shafiee, Mirko Nentwig, Yohannes Kassahun, Francis Li, Stanislav Bochkarev, Akif Kamal, David Dolson, Secil Altintas, Arif Virani, Alexander Wong:
Human-Machine Collaborative Design for Accelerated Design of Compact Deep Neural Networks for Autonomous Driving. - Oriol Raventós, Julian Bartels:
Evaluation of Temporal Complexity Reduction Techniques Applied to Storage Expansion Planning in Power System Models. - Matthieu Aussal, Marc Bakry:
The Fast and Free Memory Method for the efficient computation of convolution kernels. - Oren Pereg, Daniel Korat, Moshe Wasserblat, Jonathan Mamou, Ido Dagan:
ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System. - Nikhil Singh, Prabhat Kumar, Anupam Saxena:
On Topology Optimization with Elliptical Masks and Honeycomb Tessellation with Explicit Length Scale Constraints. - Jonathan Julián Huerta y Munive, Georg Struth:
Predicate Transformer Semantics for Hybrid Systems: Verification Components for Isabelle/HOL. - Govind Rathore, Wan-Yi Lin, Ji Eun Kim:
DeepBbox: Accelerating Precise Ground Truth Generation for Autonomous Driving Datasets. - Chaoquan Zhang, Hongchao Fan, Wanzhi Li, Bo Mao, Xuan Ding:
Automated Detecting and Placing Road Objects from Street-level Images. - Matin Hosseini, Anthony S. Maida, Majid Hosseini, Raju N. Gottumukkala:
Inception-inspired LSTM for Next-frame Video Prediction. - Jiancheng Lyu, Spencer Sheen:
A Channel-Pruned and Weight-Binarized Convolutional Neural Network for Keyword Spotting. - Murugesan Vadivel, Selvakumar Murugan, Vaidheeswaran Archana, Malaikannan Sankarasubbu:
Detecting Parking Spaces in a Parcel using Satellite Images. - Hongsun Choi, Mincheul Kang, Youngsun Kwon, Sung-Eui Yoon:
An Objectness Score for Accurate and Fast Detection during Navigation. - T. E. Raptis:
Hidden Structure in the Solutions Set of the N Queens Problem. - Walid Abdullah Al, Il Dong Yun:
Reinforcing Medical Image Classifier to Improve Generalization on Small Datasets. - Jeremy Kepner, Simon Alford, Vijay Gadepally, Michael Jones, Lauren Milechin, Ryan A. Robinett, Sid Samsi:
Sparse Deep Neural Network Graph Challenge. - Arno Khachatourian:
Reusing Convolutional Activations from Frame to Frame to Speed up Training and Inference. - Tao-Yang Fu, Wang-Chien Lee:
DeepIST: Deep Image-based Spatio-Temporal Network for Travel Time Estimation. - Lahiru D. Chamain, Zhi Ding:
Faster and Accurate Classification for JPEG2000 Compressed Images in Networked Applications. - David Mott, Richard Tomsett:
Illuminated Decision Trees with Lucid. - Haiyang Xu, Hui Zhang, Kun Han, Yun Wang, Yiping Peng, Xiangang Li:
Learning Alignment for Multimodal Emotion Recognition from Speech. - Laurie Bose, Jianing Chen, Stephen J. Carey, Piotr Dudek, Walterio W. Mayol-Cuevas:
A Camera That CNNs: Towards Embedded Neural Networks on Pixel Processor Arrays. - Yuanfeng Ji, Hao Chen, Dan Lin, Xiaohua Wu, Di Lin:
PRSNet: Part Relation and Selection Network for Bone Age Assessment. - Mohammad Farhadi, Mehdi Ghasemi, Yezhou Yang:
A Novel Design of Adaptive and Hierarchical Convolutional Neural Networks using Partial Reconfiguration on FPGA. - Di Fu, Cornelius Weber, Guochun Yang, Matthias Kerzel, Weizhi Nan, Pablo V. A. Barros, Haiyan Wu, Xun Liu, Stefan Wermter:
What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective. - Henry K. Griffith, Dmytro Katrychuk, Oleg V. Komogortsev:
Assessment of Shift-Invariant CNN Gaze Mappings for PS-OG Eye Movement Sensors. - Zhe Zhao, Hui Chen, Jinbin Zhang, Xin Zhao, Tao Liu, Wei Lu, Xi Chen, Haotang Deng, Qi Ju, Xiaoyong Du:
UER: An Open-Source Toolkit for Pre-training Models. - Nutan Chen, Göran Westling, Benoni B. Edin, Patrick van der Smagt:
Estimating Fingertip Forces, Torques, and Local Curvatures from Fingernail Images. - Ignazio Gallo, Shah Nawaz, Alessandro Calefati, Riccardo La Grassa, Nicola Landro:
Picture What you Read. - Aly Magassouba, Komei Sugiura, Hisashi Kawai:
Multimodal Attention Branch Network for Perspective-Free Sentence Generation. - Sangjae Bae, Dhruv Saxena, Alireza Nakhaei, Chiho Choi, Kikuo Fujimura, Scott J. Moura:
Cooperation-Aware Lane Change Maneuver in Dense Traffic based on Model Predictive Control with Recurrent Neural Network. - Yumeng Zhang, Li Chen, Yufeng Liu, Jun-Hai Yong, Wen Zheng:
Adaptive Wasserstein Hourglass for Weakly Supervised Hand Pose Estimation from Monocular RGB. - Liam Hiley, Alun D. Preece, Yulia Hicks:
Explainable Deep Learning for Video Recognition Tasks: A Framework & Recommendations. - Michael Ruderman:
Lead-Lag-Shaped Interactive Force Estimation by Equivalent Output Injection of Sliding-Mode. - Mostafa Elhoushi, Ye Henry Tian, Zihao Chen, Farhan Shafiq, Joey Yiwei Li:
Accelerating Training using Tensor Decomposition. - Anthony Bourached, George Cann:
Raiders of the Lost Art. - Mohammad Yousefvand, Narayan B. Mandayam:
Learning End-User Behavior for Optimized Bidding in HetNets: Impact on User/Network Association. - Coralie Busse-Grawitz, Roland Meier, Alexander Dietmüller, Tobias Bühler, Laurent Vanbever:
pForest: In-Network Inference with Random Forests. - Hüseyin Uzunalioglu, Jin Cao, Chitra Phadke, Gerald Lehmann, Ahmet A. Akyamaç, Ran He, Jeongran Lee, Maria Able:
Augmented Data Science: Towards Industrialization and Democratization of Data Science. - Kaili Wang, José Oramas M., Tinne Tuytelaars:
An Iterative Approach for Multiple Instance Learning Problems. - Jean-Guillaume Dumas, Erich L. Kaltofen, David Lucas, Clément Pernet:
Elimination-based certificates for triangular equivalence and rank profiles. - Sicheng Zhao, Zizhou Jia, Hui Chen, Leida Li, Guiguang Ding, Kurt Keutzer:
PDANet: Polarity-consistent Deep Attention Network for Fine-grained Visual Emotion Regression. - Ohad Elishco, Ryan Gabrys, Eitan Yaakobi, Muriel Médard:
Repeat-Free Codes. - Thomas Beckers, Somil Bansal, Claire J. Tomlin, Sandra Hirche:
Closed-loop Model Selection for Kernel-based Models using Bayesian Optimization. - Alejandro M. Castro, Ante Qu, Naveen Kuppuswamy, Alex Alspach, Michael Sherman:
A Transition-Aware Method for the Simulation of Compliant Contact with Regularized Friction. - Filip Lemic, Sergi Abadal, Wouter Tavernier, Pieter Stroobant, Didier Colle, Eduard Alarcón, Johann Márquez-Barja, Jeroen Famaey:
Survey on Terahertz Nanocommunication and Networking: A Top-Down Perspective. - Carlos Caetano, François Brémond, William Robson Schwartz:
Skeleton Image Representation for 3D Action Recognition based on Tree Structure and Reference Joints. - Seungjoon Lee, Mahdi Kooshkbaghi, Konstantinos G. Spiliotis, Constantinos I. Siettos, Ioannis G. Kevrekidis:
Coarse-scale PDEs from fine-scale observations via machine learning. - Yova Kementchedjhieva, Mareike Hartmann, Anders Søgaard:
Lost in Evaluation: Misleading Benchmarks for Bilingual Dictionary Induction. - Bonaventure Ngala:
E-Crime Legal Brief: A Case Study on Talk Talk Hacking. - Francesco Betti Sorbelli, Stefano Carpin, Federico Corò, Alfredo Navarra, Cristina M. Pinotti:
Optimal Routing Schedules for Robots Operating in Aisle-Structures. - Paul Zikas, Nick Lydatakis, Steve Kateros, George Papagiannakis:
Scenior: An Immersive Visual Scripting system of Gamified Training based on VR Software Design Patterns. - Martin Brossard, Silvère Bonnabel, Axel Barrau:
A New Approach to 3D ICP Covariance Estimation for Mobile Robotics. - Ting-Hao Kenneth Huang, Amos Azaria, Oscar J. Romero, Jeffrey P. Bigham:
InstructableCrowd: Creating IF-THEN Rules for Smartphones via Conversations with the Crowd. - Jiawei Zhang, Lin Meng:
GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended Animation. - Dominik Bauer, Timothy Patten, Markus Vincze:
VeREFINE: Integrating Object Pose Verification with Iterative Physics-guided Refinement. - Pietro Pierpaoli, Thinh T. Doan, Justin Romberg, Magnus Egerstedt:
A Reinforcement Learning Framework for Sequencing Multi-Robot Behaviors. - Boyang Deng, Kyle Genova, Soroosh Yazdani, Sofien Bouaziz, Geoffrey E. Hinton, Andrea Tagliasacchi:
CvxNets: Learnable Convex Decomposition. - Anthony J. Bagnall, Franz J. Király, Markus Löning, Matthew Middlehurst, George Oastler:
A tale of two toolkits, report the first: benchmarking time series classification algorithms for correctness and efficiency. - Christoph Stanik, Walid Maalej:
Requirements Intelligence with OpenReq Analytics. - S. M. Riazul Islam, Mohammad Jalil Piran, Anish Prasad Shrestha, Farman Ali, Asif Iqbal, Kyung-Sup Kwak:
Hybrid Nano Communications. - Hans Liljestrand, Zaheer Gauhar, Thomas Nyman, Jan-Erik Ekberg, N. Asokan:
Protecting the stack with PACed canaries. - Ren Hu, Qifeng Li:
Ensemble Learning based Convexification of Power Flow with Application in OPF. - Fu-Jen Chu, Ruinian Xu, Patricio A. Vela:
Detecting Robotic Affordances on Novel Objects with Regional Attention and Attributes. - Marc Schink, Johannes Obermaier:
Taking a Look into Execute-Only Memory. - Constantine Ayimba, Paolo Casari, Vincenzo Mancuso:
SQLR: Short Term Memory Q-Learning for Elastic Provisioning. - Seyed Yahya Nikouei, Yu Chen, Alexander J. Aved, Erik Blasch, Timothy R. Faughnan:
I-SAFE: Instant Suspicious Activity identiFication at the Edge using Fuzzy Decision Making. - Dylan P. Losey, Dorsa Sadigh:
Robots that Take Advantage of Human Trust. - Yasumasa Onoe, Greg Durrett:
Fine-Grained Entity Typing for Domain Independent Entity Linking. - Cunlai Pu, Pang Wu:
Vulnerability Assessment of Power Grids Based on Both Topological and Electrical Properties. - Daniel J. Lynch, Kevin M. Lynch, Paul B. Umbanhowar:
The Soft Landing Problem: Minimizing Energy Loss by a Legged Robot Impacting Yielding Terrain. - Aravindh Raman, Sagar Joglekar, Emiliano De Cristofaro, Nishanth Sastry, Gareth Tyson:
Challenges in the Decentralised Web: The Mastodon Case. - Yichen Jiang, Mohit Bansal:
Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning. - Elizabeth A. Stone, Nathan F. Lepora, David A. W. Barton:
Learning to Live Life on the Edge: Online Learning for Data-Efficient Tactile Contour Following. - Bowen Jing, William Yin:
Modeling Sensorimotor Coordination as Multi-Agent Reinforcement Learning with Differentiable Communication. - Danushka Bollegala, Tomoya Machide, Ken-ichi Kawarabayashi:
Anonymising Queries by Semantic Decomposition. - Alexander Hentschel, Dieter Shirley, Layne Lafrance:
Flow: Separating Consensus and Compute. - Pascale Gourdeau, Varun Kanade, Marta Kwiatkowska, James Worrell:
On the Hardness of Robust Classification. - Augusto Modanese:
Sublinear-Time Language Recognition and Decision by One-Dimensional Cellular Automata. - Suraj Nair, Chelsea Finn:
Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation. - Jeffrey Li, Mikhail Khodak, Sebastian Caldas, Ameet Talwalkar:
Differentially Private Meta-Learning. - Alexander Hentschel, Dieter Shirley, Layne Lafrance, Maor Zamski:
Flow: Separating Consensus and Compute - Execution Verification. - Jungsu Pak, Uri Maoz:
Compact 3 DOF Driving Simulator using Immersive Virtual Reality. - Maria Glenski, Ellyn Ayton, Josh Mendoza, Svitlana Volkova:
Multilingual Multimodal Digital Deception Detection and Disinformation Spread across Social Platforms. - Sheng Shen, Zhen Dong, Jiayu Ye, Linjian Ma, Zhewei Yao, Amir Gholami, Michael W. Mahoney, Kurt Keutzer:
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT. - Shivam Duggal, Shenlong Wang, Wei-Chiu Ma, Rui Hu, Raquel Urtasun:
DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch. - Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara, Raghav Gupta, Pranav Khaitan:
Towards Scalable Multi-domain Conversational Agents: The Schema-Guided Dialogue Dataset. - Nitish Shirish Keskar, Bryan McCann, Lav R. Varshney, Caiming Xiong, Richard Socher:
CTRL: A Conditional Transformer Language Model for Controllable Generation. - Simon Gottschalk, Nicolas Tempelmeier, Günter Kniesel, Vasileios Iosifidis, Besnik Fetahu, Elena Demidova:
Simple-ML: Towards a Framework for Semantic Data Analytics Workflows. - Miles D. Cranmer, Rui Xu, Peter W. Battaglia, Shirley Ho:
Learning Symbolic Physics with Graph Networks. - Ethan Perez, Siddharth Karamcheti, Rob Fergus, Jason Weston, Douwe Kiela, Kyunghyun Cho:
Finding Generalizable Evidence by Learning to Convince Q&A Models. - Juan Sebastián Gómez Cañón, Perfecto Herrera, Emilia Gómez, Estefanía Cano:
The emotions that we perceive in music: the influence of language and lyrics comprehension on agreement. - Ishita Dasgupta, Demi Guo, Samuel J. Gershman, Noah D. Goodman:
Analyzing machine-learned representations: A natural language case study. - Lingda Wang, Huozhi Zhou, Bingcong Li, Lav R. Varshney, Zhizhen Zhao:
Be Aware of Non-Stationarity: Nearly Optimal Algorithms for Piecewise-Stationary Cascading Bandits. - Chi Zhang, Bryan Wilkinson, Ashwinkumar Ganesan, Tim Oates:
Determining the Scale of Impact from Denial-of-Service Attacks in Real Time Using Twitter. - Nan Qi, Nikolaos I. Miridakis, Ming Xiao, Theodoros A. Tsiftsis, Rugui Yao, Shi Jin:
Traffic-aware Two-stage Queueing Communication Networks: Queue Analysis and Energy Saving. - Georgi Nalbantov, Svetoslav Ivanov:
A Note on Posterior Probability Estimation for Classifiers. - Prajwal Chidananda, Ayan Sinha, Adithya Rao, Douglas Lee, Andrew Rabinovich:
Efficient 2.5D Hand Pose Estimation via Auxiliary Multi-Task Training for Embedded Devices. - Zhe Xu, Ivan Gavran, Yousef Ahmad, Rupak Majumdar, Daniel Neider, Ufuk Topcu, Bo Wu:
Joint Inference of Reward Machines and Policies for Reinforcement Learning. - Pratik Vaishnavi, Kevin Eykholt, Atul Prakash, Amir Rahmati:
Transferable Adversarial Robustness using Adversarially Trained Autoencoders. - Haoyue Tang, Philippe Ciblat, Jintao Wang, Michèle A. Wigger, Roy D. Yates:
Age of Information Aware Cache Updating with File- and Age-Dependent Update Durations. - Sylvain Calinon, Noémie Jaquier:
Gaussians on Riemannian Manifolds for Robot Learning and Adaptive Control. - Luigi Tommaso Luppino, Filippo Maria Bianchi, Gabriele Moser, Stian Normann Anfinsen:
Unsupervised Image Regression for Heterogeneous Change Detection. - Jaime Carrasco, Cristobal Pais, Zuo-Jun Max Shen, Andrés Weintraub:
Adjusting Rate of Spread Factors through Derivative-Free Optimization: A New Methodology to Improve the Performance of Forest Fire Simulators. - Felix Leibfried, Jordi Grau-Moya:
Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning. - Sung Kook Kim, Arnaud J. Venet, Aditya V. Thakur:
Deterministic Parallel Fixpoint Computation. - Tom Tsabar, Efi Fogel, Dan Halperin:
Optimized Synthesis of Snapping Fixtures. - Sumit Gulwani, Kunal Pathak, Arjun Radhakrishna, Ashish Tiwari, Abhishek Udupa:
Quantitative Programming by Examples. - Tian Xia, Shaodan Zhai, Shaojun Wang:
Analysis of Regression Tree Fitting Algorithms in Learning to Rank. - Hao Zeng, Alexander Kurz, Emilio Tuosto:
Interface Automata for Choreographies. 1-19 - Ronny Tredup:
Tracking Down the Bad Guys: Reset and Set Make Feasibility for Flip-Flop Net Derivatives NP-complete. 20-37 - Maurizio Murgia:
A Note On Compliance Relations And Fixed Points. 38-47 - Wen Kokke:
Rusty Variation: Deadlock-free Sessions with Failure in Rust. 48-60 - Matteo Cimini:
Towards Gradually Typed Capabilities in the Pi-Calculus. 61-76 - Franco Barbanera, Mariangiola Dezani-Ciancaglini:
Open Multiparty Sessions. 77-96 - Diego Marmsoler, Ana Petrovska:
Detecting Architectural Erosion using Runtime Verification. 97-114 - Yi Xiao, Emilio Tuosto:
On Learning Nominal Automata with Binders. 137-155 - Brandon Paulsen, Chungha Sung, Peter A. H. Peterson, Chao Wang:
Debreach: Mitigating Compression Side Channels via Static Analysis and Transformation. - Jérôme Leroux, Jean-François Raskin:
Proceedings Tenth International Symposium on Games, Automata, Logics, and Formal Verification, GandALF 2019, Bordeaux, France, 2-3rd September 2019. EPTCS 305, 2019 [contents] - Jirong Zhang, Chuan Wang, Shuaicheng Liu, Lanpeng Jia, Jue Wang, Ji Zhou:
Content-Aware Unsupervised Deep Homography Estimation. - Boris Hanin, Mihai Nica:
Finite Depth and Width Corrections to the Neural Tangent Kernel. - Jianing Sun, Katarzyna Radecka, Zeljko Zilic:
FoodTracker: A Real-time Food Detection Mobile Application by Deep Convolutional Neural Networks. - Kai Li, Martin Renqiang Min, Yun Fu:
Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective. - Long Yuan, Qiya Hu:
A Plane Wave Discontinuous Galerkin method for the Helmholtz equation and Maxwell equations in Anisotropic Media. - Mengnan Du, Shiva K. Pentyala, Yuening Li, Xia Hu:
Towards Generalizable Forgery Detection with Locality-aware AutoEncoder. - Yi Zhang, Tao Ge, Furu Wei, Ming Zhou, Xu Sun:
Sequence-to-sequence Pre-training with Data Augmentation for Sentence Rewriting. - Xiang Deng, Huan Sun:
Leveraging 2-hop Distant Supervision from Table Entity Pairs for Relation Extraction. - Zhao Kang, Zipeng Guo, Shudong Huang, Siying Wang, Wenyu Chen, Yuanzhang Su, Zenglin Xu:
Multiple Partitions Aligned Clustering. - George Leu, Jiangjun Tang:
On educating machines. - Wesley Cowan, Michael N. Katehakis, Daniel Pirutinsky:
Reinforcement Learning: a Comparison of UCB Versus Alternative Adaptive Policies. - Kiera Kean, Michael Schneier:
Error Analysis of Supremizer Pressure Recovery for POD based Reduced Order Models of the time-dependent Navier-Stokes Equations. - Xinyu Zhang, Rufeng Zhang, Jiewei Cao, Dong Gong, Mingyu You, Chunhua Shen:
Part-Guided Attention Learning for Vehicle Re-Identification. - Xiaoyang Huang, Jiancheng Yang, Linguo Li, Haoran Deng, Bingbing Ni, Yi Xu:
Evaluating and Boosting Uncertainty Quantification in Classification. - Tamir Blum, William Jones, Kazuya Yoshida:
Deep Learned Path Planning via Randomized Reward-Linked-Goals and Potential Space Applications. - Hanwen Liang, Shifeng Zhang, Jiacheng Sun, Xingqiu He, Weiran Huang, Kechen Zhuang, Zhenguo Li:
DARTS+: Improved Differentiable Architecture Search with Early Stopping. - Jiangjun Tang, George Leu, Yu-Bin Yang:
Optimisation of Air-Ground Swarm Teaming for Target Search, using Differential Evolution. - Yanghua Peng, Yixin Bao, Yangrui Chen, Chuan Wu, Chen Meng, Wei Lin:
DL2: A Deep Learning-driven Scheduler for Deep Learning Clusters. - Neema Davis, Gaurav Raina, Krishna P. Jagannathan:
LSTM-Based Anomaly Detection: Detection Rules from Extreme Value Theory. - Bo Chen, Tat-Jun Chin, Nan Li:
BPnP: Further Empowering End-to-End Learning with Back-Propagatable Geometric Optimization. - Haochen Liu, Tyler Derr, Zitao Liu, Jiliang Tang:
Say What I Want: Towards the Dark Side of Neural Dialogue Models. - Ritesh Vyas, Ajay Kumar:
A Collaborative Approach using Ridge-Valley Minutiae for More Accurate Contactless Fingerprint Identification. - André Luckow, Shantenu Jha:
Performance Characterization and Modeling of Serverless and HPC Streaming Applications. - Erik Miehling, Roy Dong, Cédric Langbort, Tamer Basar:
Strategic Inference with a Single Private Sample. - Mengdi Zhu, Zheye Deng, Wenhan Xiong, Mo Yu, Ming Zhang, William Yang Wang:
Towards Open-Domain Named Entity Recognition via Neural Correction Models. - Tyler Derr, Cassidy Johnson, Yi Chang, Jiliang Tang:
Balance in Signed Bipartite Networks. - Miklas S. Kristoffersen, Jacob L. Wieland, Sven Ewan Shepstone, Zheng-Hua Tan, Vinoba Vinayagamoorthy:
Deep Joint Embeddings of Context and Content for Recommendation. - Boris Bogaerts, Seppe Sels, Steve Vanlanduit, Rudi Penne:
Enabling Humans to Plan Inspection Paths Using a Virtual Reality Interface. - Zheng Zhu, Hongxuan Ma, Wei Zou:
Human Following for Wheeled Robot with Monocular Pan-tilt Camera. - Alham Fikri Aji, Kenneth Heafield:
Neural Machine Translation with 4-Bit Precision and Beyond. - Anne Lauscher, Goran Glavas, Simone Paolo Ponzetto, Ivan Vulic:
A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces. - Philipp Samfass, Tobias Weinzierl, Dominic Etienne Charrier, Michael Bader:
Tasks Unlimited: Lightweight Task Offloading Exploiting MPI Wait Times for Parallel Adaptive Mesh Refinement. - Stefania Bellavia, Jacek Gondzio, Margherita Porcelli:
A relaxed interior point method for low-rank semidefinite programming problems. - Umair Zulfiqar, Victor Sreeram, Xin Du:
Controller Reduction via Weighted Interpolation. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Flavia Di Costa:
Diversification versus specialization in scientific research: which strategy pays off? - Mahmoud Salamati, Sadegh Soudjani, Rupak Majumdar:
Generalised Bisimulations for Time Bounded Reachability of CTMCs and CTMDPs. - Guillaume Rochette, Chris Russell, Richard Bowden:
Weakly-Supervised 3D Pose Estimation from a Single Image using Multi-View Consistency. - Li Zhang, Xiangtai Li, Anurag Arnab, Kuiyuan Yang, Yunhai Tong, Philip H. S. Torr:
Dual Graph Convolutional Network for Semantic Segmentation. - Run Wang, Lei Ma, Felix Juefei-Xu, Xiaofei Xie, Jian Wang, Yang Liu:
FakeSpotter: A Simple Baseline for Spotting AI-Synthesized Fake Faces. - Akram Saeed Aqlan Alhammadi, V. Vasanthi:
Mr-moslo: vm consolidation using multiple regression multi-objective seven-spot ladybird optimization for host overload detection. - Andrea Barraza-Urbina, Mathieu d'Aquin:
Towards Sharing Task Environments to Support Reproducible Evaluations of Interactive Recommender Systems. - Yuming Huang, Ashkan Panahi, Hamid Krim, Yiyi Yu, Spencer L. Smith:
Deep Adversarial Belief Networks. - Chaomin Shen, Yaxin Peng, Guixu Zhang, Jinsong Fan:
Defending Against Adversarial Attacks by Suppressing the Largest Eigenvalue of Fisher Information Matrix. - Mrinmoy Datta:
Relative Generalized Hamming weights of affine Cartesian codes. - Soumya Das, Ashu Verma, P. R. Bijwe:
Efficient Multi-Year Security Constrained AC Transmission Network Expansion Planning. - Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William W. Cohen, Xinghua Lu:
PubMedQA: A Dataset for Biomedical Research Question Answering. - Minghan Li, Xiangyong Cao, Qian Zhao, Lei Zhang, Chenqiang Gao, Deyu Meng:
Video Rain/Snow Removal by Transformed Online Multiscale Convolutional Sparse Coding. - Michael Lutter, Boris Belousov, Kim Listmann, Debora Clever, Jan Peters:
HJB Optimal Feedback Control with Deep Differential Value Functions and Action Constraints. - Andrea M. Tonello, Babak Salamat:
A Swash Mass Unmanned Aerial Vehicle: Design, Modeling and Control. - B. Kamala:
BAGH - Comparative study. - Jonas Kubilius, Martin Schrimpf, Ha Hong, Najib J. Majaj, Rishi Rajalingham, Elias B. Issa, Kohitij Kar, Pouya Bashivan, Jonathan Prescott-Roy, Kailyn Schmidt, Aran Nayebi, Daniel Bear, Daniel L. K. Yamins, James J. DiCarlo:
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs. - Pankaj Gupta, Khushbu Saxena, Usama Yaseen, Thomas A. Runkler, Hinrich Schütze:
Neural Architectures for Fine-Grained Propaganda Detection in News. - Moumita Choudhury, Saaduddin Mahmud, Md. Mosaddek Khan:
A Particle Swarm Based Algorithm for Functional Distributed Constraint Optimization Problems. - Christian Dondrup, Ioannis Papaioannou, Oliver Lemon:
Petri Net Machines for Human-Agent Interaction. - Markus Roland Ernst, Jochen Triesch, Thomas Burwick:
Recurrent Connectivity Aids Recognition of Partly Occluded Objects. - Sunil Pai, Ian A. D. Williamson, Tyler W. Hughes, Momchil Minkov, Olav Solgaard, Shanhui Fan, David A. B. Miller:
Parallel fault-tolerant programming of an arbitrary feedforward photonic network. - Nathaniel Weir, Andrew Crotty, Alex Galakatos, Amir Ilkhechi, Shekar Ramaswamy, Rohin Bhushan, Ugur Çetintemel, Prasetya Ajie Utama, Nadja Geisler, Benjamin Hättasch, Steffen Eger, Carsten Binnig:
DBPal: Weak Supervision for Learning a Natural Language Interface to Databases. - Fang Chen, Hong Wan, Hua Cai, Guang Cheng:
Machine Learning in/for Blockchain: Future and Challenges. - Timm Böttger, Félix Cuadrado, Gianni Antichi, Eder Leão Fernandes, Gareth Tyson, Ignacio Castro, Steve Uhlig:
An Empirical Study of the Cost of DNS-over-HTTPS. - Fereshteh Jafariakinabad, Kien A. Hua:
Style-aware Neural Model with Application in Authorship Attribution. - Uzair Nadeem, Muhammad Shahzaib Atif, Rizwan Ahmed, Hassan Touqeer, Hamood Ur Rahman Khawaja:
FPGA based Implementation of Frequency and Phase Matching Technique for Grid Tied Applications. - Mengdi Zhu, Zhiwei Yu, Xiaojun Wan:
A Neural Approach to Irony Generation. - Libor Barto, Michael Pinsker:
Topology is irrelevant (in a dichotomy conjecture for infinite domain constraint satisfaction problems). - Daniele Pucci:
On the Existence of Flight Equilibria in Longitudinal Dynamics. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Emanuela Reale:
Peer review vs bibliometrics: which method better predicts the scholarly impact of publications? - Krzysztof R. Apt, Frank S. de Boer:
Reasoning about call-by-value: a missing result in the history of Hoare's logic. - Xiaotian Li, Jakob Verbeek, Juho Kannala:
Hierarchical Joint Scene Coordinate Classification and Regression for Visual Localization. - Wanming Hao, Ming Zeng, Gangcan Sun, Osamu Muta, Octavia A. Dobre, Shouyi Yang, Haris Gacanin:
Codebook-Based Max-Min Energy-Efficient Resource Allocation for Uplink mmWave MIMO-NOMA Systems. - Simon Gottschalk, Elena Demidova:
HapPenIng: Happen, Predict, Infer - Event Series Completion in a Knowledge Graph. - Albert Einstein Fernandes Muritiba, Tibérius O. Bonates, Stênio Oliveira Da Silva, Manuel Iori:
Branch-and-cut and iterated local search for the weighted k-traveling repairman problem: an application to the maintenance of speed cameras. - Venkata Keerthy S, Rohit Aggarwal, Shalini Jain, Maunendra Sankar Desarkar, Ramakrishna Upadrasta, Y. N. Srikant:
IR2Vec: A Flow Analysis based Scalable Infrastructure for Program Encodings. - Flavia Bonomo-Braberman, Esther Galby, Carolina Lucía Gonzalez:
Characterising circular-arc contact B0-VPG graphs. - Sohrab Ferdowsi, Maurits Diephuis, Shideh Rezaeifar, Slava Voloshynovskiy:
ρ-VAE: Autoregressive parametrization of the VAE encoder. - Alison Sneyd, Mark Stevenson:
Modelling Stopping Criteria for Search Results using Poisson Processes. - Akshay Parekh, Ashish Anand, Amit Awekar:
Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases. - Eric Horton, Chris Parnin:
V2: Fast Detection of Configuration Drift in Python. - Saaduddin Mahmud, Moumita Choudhury, Md. Mosaddek Khan, Long Tran-Thanh, Nicholas R. Jennings:
AED: An Anytime Evolutionary DCOP Algorithm. - Alexis Linard, Doina Bucur, Mariëlle Stoelinga:
Fault Trees from Data: Efficient Learning with an Evolutionary Algorithm. - Zudi Lin, Hanspeter Pfister, Ziming Zhang:
White-Box Adversarial Defense via Self-Supervised Data Estimation. - Martin Andrews, Yew Ken Chia, Sam Witteveen:
Scene Graph Parsing by Attention Graph. - Binxuan Huang, Kathleen M. Carley:
Parameterized Convolutional Neural Networks for Aspect Level Sentiment Classification. - Miguel Arduengo, Ana Arduengo, Adrià Colomé, Joan Lobo-Prat, Carme Torras:
A Robot Teleoperation Framework for Human Motion Transfer. - Prithviraj Ammanabrolu, William Broniec, Alex Mueller, Jeremy Paul, Mark O. Riedl:
Toward Automated Quest Generation in Text-Adventure Games. - Hendrik Molter, Rolf Niedermeier, Malte Renken:
Enumerating Isolated Cliques in Temporal Networks. - Lucas Cassano, Ali H. Sayed:
ISL: Optimal Policy Learning With Optimal Exploration-Exploitation Trade-Off. - Han Liu, Zhizhong Han, Yu-Shen Liu, Ming Gu:
Fast Low-rank Metric Learning for Large-scale and High-dimensional Data. - Daniel Shiu:
Analysis of Solitaire. - Alessandro Fanfarillo, Davide Del Vento:
AITuning: Machine Learning-based Tuning Tool for Run-Time Communication Libraries. - Sergei Popov, Stanislav Morozov, Artem Babenko:
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data. - Shigeki Karita, Nanxin Chen, Tomoki Hayashi, Takaaki Hori, Hirofumi Inaguma, Ziyan Jiang, Masao Someki, Nelson Enrique Yalta Soplin, Ryuichi Yamamoto, Xiaofei Wang, Shinji Watanabe, Takenori Yoshimura, Wangyou Zhang:
A Comparative Study on Transformer vs RNN in Speech Applications. - Yang Li, Shoaib Akbar, Junier B. Oliva:
Flow Models for Arbitrary Conditional Likelihoods. - Rabeeh Karimi Mahabadi, James Henderson:
Simple but effective techniques to reduce biases. - Emrah Akin Sisbot, Jonathan H. Connell:
Where is My Stuff? An Interactive System for Spatial Relations. - Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown:
Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification. - Mohammadreza Soltaninejad, Lei Zhang, Tryphon Lambrou, Guang Yang, Nigel M. Allinson, Xujiong Ye:
MRI Brain Tumor Segmentation using Random Forests and Fully Convolutional Networks. - Xuan Lin, Jingwen Zhang, Junjie Shen, Gabriel I. Fernandez, Dennis W. Hong:
Optimization Based Motion Planning for Multi-Limbed Vertical Climbing Robots. - Umang Bhatt, Alice Xiang, Shubham Sharma, Adrian Weller, Ankur Taly, Yunhan Jia, Joydeep Ghosh, Ruchir Puri, José M. F. Moura, Peter Eckersley:
Explainable Machine Learning in Deployment. - Paul Emmerich, Simon Ellmann, Fabian Bonk, Alex Egger, Esaú García Sánchez-Torija, Thomas Günzel, Sebastian Di Luzio, Alexandru Obada, Maximilian Stadlmeier, Sebastian Voit, Georg Carle:
The Case for Writing Network Drivers in High-Level Programming Languages. - Vincent S. Chen, Sen Wu, Zhenzhen Weng, Alexander Ratner, Christopher Ré:
Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices. - Roberto Bagnara:
That's C, baby. C! - Shiyue Zhang, Mohit Bansal:
Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering. - Rohith Prasad Challa, Sheikh Ariful Islam, Srinivas Katkoori:
An SR Flip-Flop based Physical Unclonable Functions for Hardware Security. - Kun Lin, Nasim Sonboli, Bamshad Mobasher, Robin Burke:
Crank up the volume: preference bias amplification in collaborative recommendation. - Matthew Tsao, Kiril Solovey, Marco Pavone:
Sample Complexity of Probabilistic Roadmaps via ε-nets. - Bing Xu, Tobechukwu Agbele, Qiang Ni, Richard Jiang:
Biometric Blockchain: A Secure Solution for Intelligent Vehicle Data Sharing. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Flavia Di Costa:
A nation's foreign and domestic professors: which have better research performance? (The Italian case). - Halim Yanikomeroglu, Gunes Karabulut-Kurt, Enver Ozdemir, Yucel Aydin:
A Flexible and Lightweight Group Authentication Scheme. - Stefan Sommer, Alex M. Bronstein:
Horizontal Flows and Manifold Stochastics in Geometric Deep Learning. - Omar Elharrouss, Noor Almaadeed, Somaya Al-Máadeed, Younes Akbari:
Image inpainting: A review. - Gramoz Goranci:
Dynamic Graph Algorithms and Graph Sparsification: New Techniques and Connections. - Yilun Zhou, Julie A. Shah, Steven Schockaert:
Learning Household Task Knowledge from WikiHow Descriptions. - Jason M. Gregory, Christopher M. Reardon, Kevin Lee, Geoffrey White, Ki Ng, Caitlyn Sims:
Enabling Intuitive Human-Robot Teaming Using Augmented Reality and Gesture Control. - Zhao Han, Jordan Allspaw, Adam Norton, Holly A. Yanco:
Towards A Robot Explanation System: A Survey and Our Approach to State Summarization, Storage and Querying, and Human Interface. - Corto Mascle, Mahsa Shirmohammadi, Patrick Totzke:
Controlling a Random Population is EXPTIME-hard. - Valter Luís Estevam Junior, Hélio Pedrini, David Menotti:
Zero-Shot Action Recognition in Videos: A Survey. - Kasra Ghasemi, Sadra Sadraddini, Calin Belta:
Compositional Synthesis of Decentralized Robust Set-Invariance Controllers for Large-scale Linear Systems. - Richard G. Freedman, Yi Ren Fung, Roman Ganchin, Shlomo Zilberstein:
Responsive Planning and Recognition for Closed-Loop Interaction. - Jonathan Mosheiff, Nicolas Resch, Noga Ron-Zewi, Shashwat Silas, Mary Wootters:
LDPC Codes Achieve List Decoding Capacity. - Sébastien Jean, Orhan Firat, Melvin Johnson:
Adaptive Scheduling for Multi-Task Learning. - Carlos Pinzón, Camilo Rocha, Jorge Finke:
A Random Network Model for the Analysis of Blockchain Designs with Communication Delay. - Arnaud Casteigts, Anne-Sophie Himmel, Hendrik Molter, Philipp Zschoche:
The Computational Complexity of Finding Temporal Paths under Waiting Time Constraints. - Nicolai Häni, Pravakar Roy, Volkan Isler:
MinneApple: A Benchmark Dataset for Apple Detection and Segmentation. - Shashank Vatedka, Aslan Tchamkerten:
Local Decode and Update for Big Data Compression. - Leonardo F. S. Scabini, Lucas Correia Ribas, Odemir M. Bruno:
Spatio-spectral networks for color-texture analysis. - Premkumar Vincent, Gwenaelle Cunha Sergio, Jaewon Jang, In Man Kang, Philippe Lang, Hyeok Kim, Jaehoon Park, Muhan Choi, Minho Lee, Jin-Hyuk Bae:
Employing Genetic Algorithm as an Efficient Alternative to Parameter Sweep Based Multi-Layer Thickness Optimization in Solar Cells. - Gema M. Diaz-Toca, Leandro Marín, Ioana Necula:
Direct transformation from Cartesian into geodetic coordinates on a triaxial ellipsoid. - Satyabrata Jana, Anil Maheshwari, Sasanka Roy:
Linear Size Planar Manhattan Network for Convex Point Sets. - Qi Chen:
F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds. - Liliana Borcea, Vladimir Druskin, Alexander V. Mamonov, Shari Moskow, Mikhail Zaslavsky:
Reduced order models for spectral domain inversion: Embedding into the continuous problem and generation of internal data. - Maximilian Schiedermeier, Omar Hasan, Tobias René Mayer, Lionel Brunie, Harald Kosch:
A transparent referendum protocol with immutable proceedings and verifiable outcome for trustless networks. - Parameswaran Raman, Jiasen Yang:
Optimization on the Surface of the (Hyper)-Sphere. - Walelign M. Nikshi, Randy C. Hoover, Mark D. Bedillion, Saeed Shahmiri, Jeremy Simmons:
Fuzzy Logic Control for Mixed conventional/braking Actuation Mobile Robots. - Bo Feng, Alejandro Mera, Long Lu:
P2IM: Scalable and Hardware-independent Firmware Testing via Automatic Peripheral Interface Modeling (extended version). - Wenjun Mei, Francesco Bullo, Ge Chen, Florian Dörfler:
Occam's Razor in Opinion Dynamics: The Weighted-Median Influence Process. - Walelign M. Nikshi, Randy C. Hoover, Mark D. Bedillion, Saeed Shahmiri, Jeremy Simmons:
Sliding Mode Control for Mixed Conventional/Braking Actuation Mobile Robots. - Sarah Al-Hussaini, Jason M. Gregory, Shaurya Shriyam, Satyandra K. Gupta:
An Alert-Generation Framework for Improving Resiliency in Human-Supervised, Multi-Agent Teams. - Md. Iqbal Hossain, Vahan Huroyan, Stephen G. Kobourov, Raymundo Navarrete:
Multi-Perspective, Simultaneous Embedding. - Saif Alabachi, Gita Sukthankar, Rahul Sukthankar:
Selfie Drone Stick: A Natural Interface for Quadcopter Photography. - Morteza Varasteh, Jakob Hoydis, Bruno Clerckx:
Learning to Communicate and Energize: Modulation, Coding and Multiple Access Designs for Wireless Information-Power Transmission. - William Koch:
Flight Controller Synthesis Via Deep Reinforcement Learning. - Victor Zakhary, Divyakant Agrawal, Amr El Abbadi:
Transactional Smart Contracts in Blockchain Systems. - Saraju P. Mohanty, Venkata P. Yanambaka, Elias Kougianos, Deepak Puthal:
PUFchain: Hardware-Assisted Blockchain for Sustainable Simultaneous Device and Data Security in the Internet of Everything (IoE). - Zhipeng Xu, Xiaolong Huang, Yuefan Deng:
Optimal Routing for a Family of Scalable Interconnection Networks. - Siyuan Gu, Deke Guo, Guoming Tang, Lailong Luo, Yuchen Sun, Xueshan Luo:
HyEdge: Optimal Request Scheduling in Hybrid Edge Computing Environment. - Jian Liu, Naveed Akhtar, Ajmal Mian:
Adversarial Attack on Skeleton-based Human Action Recognition. - Hassan S. Shavarani, Satoshi Sekine:
Multi-class Multilingual Classification of Wikipedia Articles Using Extended Named Entity Tag Set. - Ketan Savla, Jeff S. Shamma, Munther A. Dahleh:
Network Effects on Robustness of Dynamic Systems. - Connor Brooks, Daniel Szafir:
Building Second-Order Mental Models for Human-Robot Interaction. - Jason R. Wilson, Seongsik Kim, Ulyana Kurylo, Joseph Cummings, Eshan Tarneja:
Developing Computational Models of Social Assistance to Guide Socially Assistive Robots. - Chuan Ma, Jun Li, Ming Ding, Howard Hao Yang, Feng Shu, Tony Q. S. Quek, H. Vincent Poor:
On Safeguarding Privacy and Security in the Framework of Federated Learning. - Juan Miguel Pino, Liezl Puzon, Jiatao Gu, Xutai Ma, Arya D. McCarthy, Deepak Gopinath:
Leveraging Out-of-Task Data for End-to-End Automatic Speech Translation. - Mozhdeh Gheini, Jonathan May:
A Universal Parent Model for Low-Resource Neural Machine Translation Transfer. - Grey Ballard, James Demmel, Ioana Dumitriu, Alexander Rusciano:
A Generalized Randomized Rank-Revealing Factorization. - K. R. Jayaram, Vinod Muthusamy, Parijat Dube, Vatche Ishakian, Chen Wang, Benjamin Herta, Scott Boag, Diana Arroyo, Asser N. Tantawi, Archit Verma, Falk Pollok, Rania Khalaf:
FfDL : A Flexible Multi-tenant Deep Learning Platform. - Gilwoo Lee, Christoforos I. Mavrogiannis, Siddhartha S. Srinivasa:
Towards Effective Human-AI Teams: The Case of Collaborative Packing. - Rishi Shah, Yuqian Jiang, Haresh Karnan, Gilberto Briscoe-Martinez, Dominick Mulder, Ryan Gupta, Rachel Schlossman, Marika Murphy, Justin W. Hart, Luis Sentis, Peter Stone:
Solving Service Robot Tasks: UT Austin Villa@Home 2019 Team Report. - Jinwei Xing, Xinyun Zou, Jeffrey L. Krichmar:
Neuromodulated Patience for Robot and Self-Driving Vehicle Navigation. - Zhimin Gao, Lei Xu, Keshav Kasichainula, Lin Chen, Bogdan Carbunar, Weidong Shi:
Private and Atomic Exchange of Assets over Zero Knowledge Based Payment Ledger. - Hamed Alizadeh Ghazijahani, Hadi Seyedarabi, Javad Musevi Niya, Ngai-Man Cheung:
Optimized Routing and Spectrum Assignment for Video Communication over an Elastic Optical Network. - Mashrur Rashik, Md. Musfiqur Rahman, Md. Mamun-Or-Rashid, Md. Mosaddek Khan:
Speeding Up Distributed Pseudo-tree Optimization Procedure with Cross Edge Consistency to Solve DCOPs. - Yiwei Sun, Suhang Wang, Xianfeng Tang, Tsung-Yu Hsieh, Vasant G. Honavar:
Node Injection Attacks on Graphs via Reinforcement Learning. - Yi Luo, Deniz Mengu, Nezih T. Yardimci, Yair Rivenson, Muhammed Veli, Mona Jarrahi, Aydogan Ozcan:
Design of Task-Specific Optical Systems Using Broadband Diffractive Neural Networks. - Taposh Dutta-Roy:
Instructional Level Parallelism. - Justin W. Hart, Reuth Mirsky, Stone Tejeda, Bonny Mahajan, Jamin Goo, Kathryn Baldauf, Sydney Owen, Peter Stone:
Unclogging Our Arteries: Using Human-Inspired Signals to Disambiguate Navigational Intentions. - Víctor Fernández Castro, Aurélie Clodic, Rachid Alami, Elisabeth Pacherie:
Commitments in Human-Robot Interaction. - Pankaj Gupta, Yatin Chaudhary, Hinrich Schütze:
Multi-view and Multi-source Transfers in Neural Topic Modeling with Pretrained Topic and Word Embeddings. - Qiongkai Xu, Chenchen Xu, Lizhen Qu:
ALTER: Auxiliary Text Rewriting Tool for Natural Language Generation. - Andrea Cagliero:
Semi-analytical calculation of the singular and hypersingular integrals for discrete Helmholtz operators in 2D BEM. - Jifei Miao, Kit Ian Kou:
Color image recovery using low-rank quaternion matrix completion algorithm. - Chengkai Dai, Sylvain Lefebvre, Kai-Ming Yu, Jo M. P. Geraedts, Charlie C. L. Wang:
Planning Jerk-Optimized Trajectory with Discrete-Time Constraints for Redundant Robots. - Ashok Krishnan K. S., Vinod Sharma:
Minimizing Age of Information in a Multihop Wireless Network. - Tristan Deleu, Tobias Würfl, Mandana Samiei, Joseph Paul Cohen, Yoshua Bengio:
Torchmeta: A Meta-Learning library for PyTorch. - Sefi Bell-Kligler, Assaf Shocher, Michal Irani:
Blind Super-Resolution Kernel Estimation using an Internal-GAN. - Yaoxian Song, Jun Wen, Yuejiao Fei, Changbin Yu:
Deep Robotic Prediction with hierarchical RGB-D Fusion. - Donghyun Kim, Jared Di Carlo, Benjamin Katz, Gerardo Bledt, Sangbae Kim:
Highly Dynamic Quadruped Locomotion via Whole-Body Impulse Control and Model Predictive Control. - Jun Zhao, Jing Tang, Zengxiang Li, Huaxiong Wang, Kwok-Yan Lam, Kaiping Xue:
An Analysis of Blockchain Consistency in Asynchronous Networks: Deriving a Neat Bound. - Rudy Bunel, Jingyue Lu, Ilker Turkaslan, Philip H. S. Torr, Pushmeet Kohli, M. Pawan Kumar:
Branch and Bound for Piecewise Linear Neural Network Verification. - Yi Sun, Xushen Han, Kai Sun:
Line as object: datasets and framework for semantic line segment detection. - Haijun Wang, Yi Li, Shang-Wei Lin, Cyrille Artho, Lei Ma, Yang Liu:
Oracle-Supported Dynamic Exploit Generation for Smart Contracts. - Fabrizio Frasca, Diego Galeano, Guadalupe Gonzalez, Ivan Laponogov, Kirill A. Veselkov, Alberto Paccanaro, Michael M. Bronstein:
Learning interpretable disease self-representations for drug repositioning. - Steffen Ehrmann, Ralf Seppelt, Carsten Meyer:
Harmonise and integrate heterogeneous areal data with the R package arealDB. - Samuel Lanthaler, Siddhartha Mishra, Carlos Parés-Pulido:
Statistical solutions of the incompressible Euler equations. - Erion Çano, Ondrej Bojar:
Efficiency Metrics for Data-Driven Models: A Text Summarization Case Study. - Wen Yan, Eduardo Corona, Dhairya Malhotra, Shravan K. Veerapaneni, Michael J. Shelley:
A scalable computational platform for particulate Stokes suspensions. - Virginie Ehrlacher, Damiano Lombardi, Olga Mula, François-Xavier Vialard:
Nonlinear model reduction on metric spaces. Application to one-dimensional conservative PDEs in Wasserstein spaces. - Chuan Shi, Xiaotian Han, Li Song, Xiao Wang, Senzhang Wang, Junping Du, Philip S. Yu:
Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks. - Sawyer Birnbaum, Volodymyr Kuleshov, S. Zayd Enam, Pang Wei Koh, Stefano Ermon:
Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise Modulations. - Veeraruna Kavitha, Mayank Maheshwari, Eitan Altman:
Acquisition Games with Partial-Asymmetric Information. - Shweta Mahajan, Teresa Botschen, Iryna Gurevych, Stefan Roth:
Joint Wasserstein Autoencoders for Aligning Multimodal Embeddings. - Yau-Shian Wang, Hung-yi Lee, Yun-Nung Chen:
Tree Transformer: Integrating Tree Structures into Self-Attention. - Nastooh Taheri Javan, Masoud Sabaei, Vesal Hakami:
IEEE 802.15.4.e TSCH-Based Scheduling for Throughput Optimization: A Combinatorial Multi-Armed Bandit Approach. - Angus Addlesee, Arash Eshghi, Ioannis Konstas:
Current Challenges in Spoken Dialogue Systems and Why They Are Critical for Those Living with Dementia. - Kuan Huang, Yingtao Zhang, Heng-Da Cheng, Ping Xing, Boyu Zhang:
Fuzzy Semantic Segmentation of Breast Ultrasound Image with Breast Anatomy Constraints. - Gramoz Goranci, Monika Henzinger, Dariusz Leniowski:
A Tree Structure For Dynamic Facility Location. - Jordi Pons, Xavier Serra:
musicnn: Pre-trained convolutional neural networks for music audio tagging. - Dovydas Joksas, Pedro Freitas, Zheng Chai, Wing H. Ng, Mark Buckwell, Weidong Zhang, Anthony J. Kenyon, Adnan Mehonic:
Committee Machines - A Universal Method to Deal with Non-Idealities in RRAM-Based Neural Networks. - Christian Göttel, Pascal Felber, Valerio Schiavoni:
iperfTZ: Understanding Network Bottlenecks for TrustZone-based Trusted Applications. - Puttha Sakkaplangkul, Vrushali A. Bokil, Camille Carvalho:
A Fully Fourth Order Accurate Energy Stable FDTD Method for Maxwell's Equations in Metamaterials. - Hossein A. Rahmani, Mohammad Aliannejadi, Sajad Ahmadian, Mitra Baratchi, Mohsen Afsharchi, Fabio Crestani:
LGLMF: Local Geographical based Logistic Matrix Factorization Model for POI Recommendation. - Francesca Dino, Rohola Zandie, Hojjat Abdollahi, Sarah Schoeder, Mohammad H. Mahoor:
Delivering Cognitive Behavioral Therapy Using A Conversational SocialRobot. - Vikram Gupta, Sai Kumar Dwivedi, Rishabh Dabral, Arjun Jain:
Progression Modelling for Online and Early Gesture Detection. - Petr Kucera, Petr Savický:
Propagation complete encodings of smooth DNNF theories. - Edward Raff:
A Step Toward Quantifying Independently Reproducible Machine Learning Research. - Seth Isaacson, Gretchen Rice, James C. Boerkoel Jr.:
MAD-TN: A Tool for Measuring Fluency in Human-Robot Collaboration. - Charles T. Marx, Flávio du Pin Calmon, Berk Ustun:
Predictive Multiplicity in Classification. - Alexander Clegg, Charles C. Kemp, Greg Turk, C. Karen Liu:
Modeling Collaboration for Robot-assisted Dressing Tasks. - Shenyang Huang, Vincent François-Lavet, Guillaume Rabusseau:
Neural Architecture Search for Class-incremental Learning. - Abilash Thakallapelli, Sukumar Kamalasadan:
Measurement-Based Wide-Area Damping of Inter-Area Oscillations based on MIMO Identification. - Abilash Thakallapelli, Sudipta Ghosh, Sukumar Kamalasadan:
Sensorless Real-Time Reduced Order Model Based Adaptive Maximum Power Tracking Pitch Controller for Grid Connected Wind Turbines. - Johannes Åman Pohjola:
Psi-Calculi Revisited: Connectivity and Compositionality. - Ali Behfarnia, Ali Eslami:
Local Voting Games for Misbehavior Detection in VANETs in Presence of Uncertainty. - John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, Graham Neubig:
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity. - Qian Yang, Zhouyuan Huo, Wenlin Wang, Heng Huang, Lawrence Carin:
Ouroboros: On Accelerating Training of Transformer-Based Language Models. - Michael J. Neely:
Reversible Models for Wireless Multi-Channel Multiple Access. - Jiarong Lin, Fu Zhang:
Loam_livox: A fast, robust, high-precision LiDAR odometry and mapping package for LiDARs of small FoV. - Zhuohan Li, Zi Lin, Di He, Fei Tian, Tao Qin, Liwei Wang, Tie-Yan Liu:
Hint-Based Training for Non-Autoregressive Machine Translation. - Silas L. Fong, Salma Emara, Baochun Li, Ashish Khisti, Wai-Tian Tan, Xiaoqing Zhu, John G. Apostolopoulos:
Low-Latency Network-Adaptive Error Control for Interactive Streaming. - Dhruv Mauria Saxena, Sangjae Bae, Alireza Nakhaei, Kikuo Fujimura, Maxim Likhachev:
Driving in Dense Traffic with Model-Free Reinforcement Learning. - Joseph D. Monaco, Grace M. Hwang, Kevin M. Schultz, Kechen Zhang:
Cognitive swarming in complex environments with attractor dynamics and oscillatory computing. - Bogdana Rakova, Rumman Chowdhury:
Human self-determination within algorithmic sociotechnical systems. - Yan Yan, Yuhong Guo:
Adversarial Partial Multi-Label Learning. - Rheeya Uppaal:
LRS-DAG: Low Resource Supervised Domain Adaptation with Generalization Across Domains. - Thang Vu, Hyunjun Jang, Trung X. Pham, Chang D. Yoo:
Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution. - Tian Xia, Shaodan Zhai, Shaojun Wang:
Plackett-Luce model for learning-to-rank task. - Xiaosen Wang, Hao Jin, Kun He:
Natural Language Adversarial Attacks and Defenses in Word Level. - Qianyu Guo, Sen Chen, Xiaofei Xie, Lei Ma, Qiang Hu, Hongtao Liu, Yang Liu, Jianjun Zhao, Xiaohong Li:
An Empirical Study towards Characterizing Deep Learning Development and Deployment across Different Frameworks and Platforms. - Tamal K. Dey, Jiayuan Wang, Yusu Wang:
Road Network Reconstruction from Satellite Images with Machine Learning Supported by Topological Methods. - Wataru Hirota, Yoshihiko Suhara, Behzad Golshan, Wang-Chiew Tan:
Emu: Enhancing Multilingual Sentence Embeddings with Semantic Specialization. - David C. Múnera, Fernán A. Villa G:
A brief TOGAF description using SEMAT Essence Kernel. - Mohammad-Javad Davari, Michael J. Hegedus, Kamal Gupta, Mehran Mehrandezh:
Identifying Multiple Interaction Events from Tactile Data during Robot-Human Object Transfer. - Kassem Mustapha:
An L1 approximation for a fractional reaction-diffusion equation, a second-order error analysis over time-graded meshes. - Harsh Jhamtani, Sanket Vaibhav Mehta, Jaime G. Carbonell, Taylor Berg-Kirkpatrick:
Learning Rhyming Constraints using Structured Adversaries. - Mingyu Xiao, Jiaxing Ling:
Algorithms for Manipulating Sequential Allocation. - Mary Ellen Foster, Bart G. W. Craenen, Amol A. Deshmukh, Oliver Lemon, Emanuele Bastianelli, Christian Dondrup, Ioannis Papaioannou, Andrea Vanzo, Jean-Marc Odobez, Olivier Canévet, Yuanzhouhan Cao, Weipeng He, Ángel Martínez-González, Petr Motlícek, Rémy Siegfried, Rachid Alami, Kathleen Belhassein, Guilhem Buisan, Aurélie Clodic, Amandine Mayima, Yoan Sallami, Guillaume Sarthou, Phani-Teja Singamaneni, Jules Waldhart, Alexandre Mazel, Maxime Caniot, Marketta Niemelä, Päivi Heikkilä, Hanna Lammi, Antti Tammela:
MuMMER: Socially Intelligent Human-Robot Interaction in Public Spaces. - Mohammad Lari, Sina Asaeian:
Multi-objective Antenna Selection in a Full Duplex Base Station. - Francesco Marra, Diego Gragnaniello, Luisa Verdoliva, Giovanni Poggi:
A Full-Image Full-Resolution End-to-End-Trainable CNN Framework for Image Forgery Detection. - Sebastian Siebertz:
Nowhere dense graph classes and algorithmic applications. A tutorial at Highlights of Logic, Games and Automata 2019. - Tran Nguyen Le, Jens Lundell, Ville Kyrki:
Safe Grasping with a Force Controlled Soft Robotic Hand. - Xi Yang, Fan Cao, Michail Matthaiou, Shi Jin:
On the Uplink Transmission of Multi-user Extra-large Scale Massive MIMO Systems. - Georgios Kapidis, Ronald Poppe, Elsbeth A. van Dam, Lucas P. J. J. Noldus, Remco C. Veltkamp:
Multitask Learning to Improve Egocentric Action Recognition. - Libo Qin, Yijia Liu, Wanxiang Che, Haoyang Wen, Yangming Li, Ting Liu:
Entity-Consistent End-to-end Task-Oriented Dialogue System with KB Retriever. - Amir Pasha Motamed, Behnam Bahrak:
Quantitative analysis of cryptocurrencies transaction graph. - Voot Tangkaratt, Bo Han, Mohammad Emtiyaz Khan, Masashi Sugiyama:
VILD: Variational Imitation Learning with Diverse-quality Demonstrations. - Orpaz Goldstein, Mohammad Kachuee, Kimmo Kärkkäinen, Majid Sarrafzadeh:
Target-Focused Feature Selection Using a Bayesian Approach. - Yuxuan Wang, Wanxiang Che, Jiang Guo, Yijia Liu, Ting Liu:
Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing. - Sunil Kumar, Sandeep Kumar, Gaurav Mittal, Shiv Narain:
A Vector Space Approach to Generate Dynamic Keys for Hill Cipher. - Dmitriy Leykekhman, Buyang Li:
Weak discrete maximum principle of finite element methods in convex polyhedra. - Xiaofang Sun, Derrick Wing Kwan Ng, Zhiguo Ding, Yanqing Xu, Zhangdui Zhong:
Physical Layer Security in UAV Systems: Challenges and Opportunities. - Peiwen Lin, Peng Sun, Guangliang Cheng, Sirui Xie, Xi Li, Jianping Shi:
Graph-guided Architecture Search for Real-time Semantic Segmentation. - N. Jesper Larsson:
Run-Length Encoding in a Finite Universe. - Ruiqi Cheng, Kaiwei Wang, Jian Bai, Zhijie Xu:
OpenMPR: Recognize Places Using Multimodal Data for People with Visual Impairments. - Tom Blount, Callum Spawforth:
Pathos in Play: How Game Designers Evoke Negative Emotions. - Peixia Li, Boyu Chen, Wanli Ouyang, Dong Wang, Xiaoyun Yang, Huchuan Lu:
GradNet: Gradient-Guided Network for Visual Object Tracking. - Jason Kuen, Federico Perazzi, Zhe Lin, Jianming Zhang, Yap-Peng Tan:
Scaling Object Detection by Transferring Classification Weights. - Thomas Nedelec, Jules Baudet, Vianney Perchet, Noureddine El Karoui:
Adversarial learning for revenue-maximizing auctions. - Sathish Kumar Angamuthu, Shivam Bajpeyi:
Direct and inverse results for Kantorovich type exponential sampling series. - Charles E. Dickerson, Michael K. Wilkinson, Eugénie Hunsicker, Siyuan Ji, Yves Bernard, Peter Denno:
Using Model Theory for Architecture Definition in Complex System Design. - Anthony Bonato, Nicole Eikmeier, David F. Gleich, Rehan Malik:
Centrality in dynamic competition networks. - Yagel Ashkenazi, Ran Gelles, Amir Leshem:
Noisy Beeping Networks. - Leshem Choshen, Omri Abend:
Automatically Extracting Challenge Sets for Non local Phenomena in Neural Machine Translation. - Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou:
PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes. - (Withdrawn) Performance and Power Evaluation of AI Accelerators for Training Deep Learning Models.
- Michael Schaarschmidt, Kai Fricke, Eiko Yoneki:
Wield: Systematic Reinforcement Learning With Progressive Randomization. - Mahla Rahati-Quchani, Saeid Abrishami, Mehdi Feizi:
An Efficient Mechanism for Computation Offloading in Mobile-Edge Computing. - Lanxin Lei, Zhizhong Li, Dahua Lin:
Biased Estimates of Advantages over Path Ensembles. - Zhaoshuo Li, Mahya Shahbazi, Niravkumar A. Patel, Eimear O' Sullivan, Haojie Zhang, Khushi Vyas, Preetham Chalasani, Anton Deguet, Peter L. Gehlbach, Iulian Iordachita, Guang-Zhong Yang, Russell H. Taylor:
Hybrid Robotic-assisted Frameworks for Endomicroscopy Scanning in Retinal Surgeries. - Christian Hansen, Casper Hansen, Stephen Alstrup, Christina Lioma:
Modelling End-of-Session Actions in Educational Systems. - Lesandro Ponciano:
HCI Support Card: Creating and Using a Support Card for Education in Human-Computer Interaction. - Shihao Zou, Zhonghua Li, Mohammad Akbari, Jun Wang, Peng Zhang:
MarlRank: Multi-agent Reinforced Learning to Rank. - Alex Tong Lin, Yonatan Dukler, Wuchen Li, Guido Montúfar:
Wasserstein Diffusion Tikhonov Regularization. - Vincent Cohen-Addad, Benjamin Guedj, Varun Kanade, Guy Rom:
Online k-means Clustering. - Miles Q. Li, Benjamin C. M. Fung, Philippe Charland, Steven H. H. Ding:
I-MAD: A Novel Interpretable Malware Detector Using Hierarchical Transformer. - Isaac Weiss:
A Dual-hierarchy Semantic Graph for Robust Object Recognition. - Ali Khodadadi, Seyyed Abbas Hosseini, Ehsan Pajouheshgar, Farnam Mansouri, Hamid R. Rabiee:
ChOracle: A Unified Statistical Framework for Churn Prediction. - Joel Mathias, Robert Moye, Sean P. Meyn, Joseph Warrington:
State Space Collapse in Resource Allocation for Demand Dispatch. - Gilad Cohen, Guillermo Sapiro, Raja Giryes:
Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors. - Mohammadreza Kasaei, Nuno Lau, Artur Pereira:
A Robust Closed-Loop Biped Locomotion Planner Based on Time Varying Model Predictive Control. - Su Wang, Greg Durrett, Katrin Erk:
Query-Focused Scenario Construction. - Yilun Du, Toru Lin, Igor Mordatch:
Model Based Planning with Energy Based Models. - Riccardo Spezialetti, Samuele Salti, Luigi Di Stefano:
Performance Evaluation of Learned 3D Features. - Jingyi Xu, Tamay Aykut, Daolin Ma, Eckehard G. Steinbach:
Non-Planar Frictional Surface Contacts: Modeling and Application to Grasping. - Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang, Michael Blumenstein:
Temporal Self-Attention Network for Medical Concept Embedding. - Riccardo Spezialetti, Samuele Salti, Luigi Di Stefano:
Learning an Effective Equivariant 3D Descriptor Without Supervision. - Saar Tochner, Stefan Schmid, Aviv Zohar:
Hijacking Routes in Payment Channel Networks: A Predictability Tradeoff. - Shubham Jain, Sumeet Kumar Gupta, Anand Raghunathan:
TiM-DNN: Ternary in-Memory accelerator for Deep Neural Networks. - Denys Rozumnyi, Jan Kotera, Filip Sroubek, Jiri Matas:
Non-Causal Tracking by Deblatting. - Attila Hideg, Tamás Lukovszki:
Asynchronous Filling by Luminous Robots. - Adam Ligocki, Ales Jelinek, Ludek Zalud:
Brno Urban Dataset - The New Data for Self-Driving Agents and Mapping Tasks. - Mark Giesbrecht, Hui Huang, George Labahn, Eugene V. Zima:
Efficient Rational Creative Telescoping. - Vanessa Utz, Steve DiPaola:
Using an AI creativity system to explore how aesthetic experiences are processed along the brains perceptual neural pathways. - Arjun R. Akula, Changsong Liu, Sari Saba-Sadiya, Hongjing Lu, Sinisa Todorovic, Joyce Y. Chai, Song-Chun Zhu:
X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust. - Jonathan E. Moussa:
Minimax separation of the Cauchy kernel. - Hossein Eslamiat, Ningshan Wang, Amit K. Sanyal:
Geometric PID-type attitude tracking control on SO(3). - Konstantin Mishchenko:
Sinkhorn Algorithm as a Special Case of Stochastic Mirror Descent. - Ece Calikus, Slawomir Nowaczyk, Anita Pinheiro Sant'Anna, Onur Dikmen:
No Free Lunch But A Cheaper Supper: A General Framework for Streaming Anomaly Detection. - Tawfiq Salem, Connor Greenwell, Hunter Blanton, Nathan Jacobs:
Learning to Map Nearly Anything. - James K. Senter, Taylor M. Royalty, Andrew D. Steen, Amir Sadovnik:
Unaligned Sequence Similarity Search Using Deep Learning. - Rudrajit Das, Subhasis Chaudhuri:
On the Separability of Classes with the Cross-Entropy Loss Function. - Peter R. Florence, Lucas Manuelli, Russ Tedrake:
Self-Supervised Correspondence in Visuomotor Policy Learning. - Yanbing Mao, Emrah Akyol, Ziang Zhang:
Novel Defense Strategy Against Zero-Dynamics Attack in Multi-Agent Systems. - Yijin Liu, Fandong Meng, Jinchao Zhang, Jie Zhou, Yufeng Chen, Jinan Xu:
CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding. - Yanbing Mao, Hamidreza Jafarnejadsani, Pan Zhao, Emrah Akyol, Naira Hovakimyan:
Detectability of Intermittent Zero-Dynamics Attack in Networked Control Systems. - Zhao Kang, Guoxin Shi, Shudong Huang, Wenyu Chen, Xiaorong Pu, Joey Tianyi Zhou, Zenglin Xu:
Multi-graph Fusion for Multi-view Spectral Clustering. - Luo Luo, Cheng Chen, Yujun Li, Guangzeng Xie, Zhihua Zhang:
A Stochastic Proximal Point Algorithm for Saddle-Point Problems. - Kiwan Maeng, Alexei Colin, Brandon Lucia:
Alpaca: Intermittent Execution without Checkpoints. - Zeyu Mao, Hao Huang, Katherine R. Davis:
W4IPS: A Web-based Interactive Power System Simulation Environment For Power System Security Analysis. - Zeyu Zhu, Nan Li, Ruoyu Sun, Huijing Zhao, Donghao Xu:
Off-road Autonomous Vehicles Traversability Analysis and Trajectory Planning Based on Deep Inverse Reinforcement Learning. - Wentao Jiang, Si Liu, Chen Gao, Jie Cao, Ran He, Jiashi Feng, Shuicheng Yan:
PSGAN: Pose-Robust Spatial-Aware GAN for Customizable Makeup Transfer. - Ha Thi Phuong Thao, Dorien Herremans, Gemma Roig:
Multimodal Deep Models for Predicting Affective Responses Evoked by Movies. - Dritjon Gruda, Souleiman Hasan:
Feeling Anxious? Perceiving Anxiety in Tweets using Machine Learning. - Lingchen Zhao, Qian Wang, Cong Wang, Qi Li, Chao Shen, Xiaodong Lin, Shengshan Hu, Minxin Du:
VeriML: Enabling Integrity Assurances and Fair Payments for Machine Learning as a Service. - Berkay Turan, Ramtin Pedarsani, Mahnoosh Alizadeh:
Dynamic Pricing and Management for Electric Autonomous Mobility on Demand Systems Using Reinforcement Learning. - Wilko Schwarting, Alyssa Pierson, Sertac Karaman, Daniela Rus:
Stochastic Dynamic Games in Belief Space. - Qing Yang, Jiachen Mao, Zuoguan Wang, Hai Li:
DASNet: Dynamic Activation Sparsity for Neural Network Efficiency Improvement. - Nikos Aréchiga, Jonathan A. DeCastro, Soonho Kong, Karen Leung:
Better AI through Logical Scaffolding. - Zhaoyi Yan, Yuchen Yuan, Wangmeng Zuo, Xiao Tan, Yezhen Wang, Shilei Wen, Errui Ding:
Perspective-Guided Convolution Networks for Crowd Counting. - Alicia Montserrat Alvarado-González, Gibran Fuentes Pineda, Jorge Cervantes-Ojeda:
A few filters are enough: Convolutional Neural Network for P300 Detection. - Yiqing Li, Miao Jiang, Qi Zhang, Jiayin Qin:
Joint Beamforming Design in Multi-Cluster MISO NOMA Intelligent Reflecting Surface-Aided Downlink Communication Networks. - Minwei Shi, Kai Yang, Zhu Han, Dusit Niyato:
Coverage Analysis of Integrated Sub-6GHz-mmWave Cellular Networks with Hotspots. - Zijia Zhong, Joyoung Lee:
Virtual Guide Dog: Next Generation Pedestrian Signal for the Visually Impaired. - Chongzhi Zhang, Aishan Liu, Xianglong Liu, Yitao Xu, Hang Yu, Yuqing Ma, Tianlin Li:
Interpreting and Improving Adversarial Robustness with Neuron Sensitivity. - Seokju Lee, Junsik Kim, Tae-Hyun Oh, Yongseop Jeong, Donggeun Yoo, Stephen Lin, In So Kweon:
Visuomotor Understanding for Representation Learning of Driving Scenes. - Wei Gao, Russ Tedrake:
kPAM-SC: Generalizable Manipulation Planning using KeyPoint Affordance and Shape Completion. - (Withdrawn) A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning.
- Bahman Moraffah:
Inference for multiple object tracking: A Bayesian nonparametric approach. - Zhongxin Liu, Xin Xia, Christoph Treude, David Lo, Shanping Li:
Automatic Generation of Pull Request Descriptions. - Sidhanth Mohanty, Ryan O'Donnell, Pedro Paredes:
Explicit near-Ramanujan graphs of every degree. - (Withdrawn) Unsupervised Eyeglasses Removal in the Wild.
- Rogerio Bonatti, Ratnesh Madaan, Vibhav Vineet, Sebastian A. Scherer, Ashish Kapoor:
Learning Controls Using Cross-Modal Representations: Bridging Simulation and Reality for Drone Racing. - Ming Dong:
A Data-driven Dynamic Rating Forecast Method and Application for Power Transformer Long-term Planning. - Han Liu, Ge Gao, Hehua Zhang, Yu-Shen Liu, Yan Song, Ming Gu:
MVDLite: A Light-weight Representation of Model View Definition with Fast Validation for BIM Applications. - Taeyoung Kim, Youngsun Kwon, Sung-Eui Yoon:
Real-time 3-D Mapping with Estimating Acoustic Materials. - Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon:
Learning Residual Flow as Dynamic Motion from Stereo Videos. - Seungyoung Lim, Myungji Kim, Jooyoul Lee:
KorQuAD1.0: Korean QA Dataset for Machine Reading Comprehension. - Guokun Lai, Barlas Oguz, Yiming Yang, Veselin Stoyanov:
Bridging the domain gap in cross-lingual document classification. - Daniel Archambault, Csaba D. Tóth:
Proceedings of the 27th International Symposium on Graph Drawing and Network Visualization (GD 2019). - Jing Liu, Fei Gao, Jiang Zhang:
Gumbel-softmax Optimization: A Simple General Framework for Combinatorial Optimization Problems on Graphs. - Masashi Okada, Shinji Takenaka, Tadahiro Taniguchi:
Multi-person Pose Tracking using Sequential Monte Carlo with Probabilistic Neural Pose Predictor. - Keehang Kwon:
Towards Distributed Logic Programming based on Computability Logic. - Zhenzhen Xiang, Anbo Bao, Jie Li, Jianbo Su:
Boosting Real-Time Driving Scene Parsing with Shared Semantics. - Ricardo Neisse, José Luis Hernández-Ramos, Sara Nieves Matheu-García, Gianmarco Baldini, Antonio F. Skarmeta:
Toward a Blockchain-based Platform to Manage Cybersecurity Certification of IoT devices. - Sayak Ray Chowdhury, Aditya Gopalan:
Bayesian Optimization under Heavy-tailed Payoffs. - Antonis Karakottas, Nikolaos Zioulis, Stamatis Samaras, Dimitrios Ataloglou, Vasileios Gkitsas, Dimitrios Zarpalas, Petros Daras:
360° Surface Regression with a Hyper-Sphere Loss. - Dongwon Park, Yonghyeok Seo, Dongju Shin, Jaesik Choi, Se Young Chun:
A Single Multi-Task Deep Neural Network with Post-Processing for Object Detection with Reasoning and Robotic Grasp Detection. - Yuantao Fan, Slawomir Nowaczyk, Thorsteinn S. Rögnvaldsson:
Transfer learning for Remaining Useful Life Prediction Based on Consensus Self-Organizing Models. - Marine Quéroué, Agnès Lashéras-Bauduin, Vianney Jouhet, Frantz Thiessard, Jean-Marc Vital, Anne-Marie Rogues, Sébastien Cossin:
Automatic detection of surgical site infections from a clinical data warehouse. - Zhi-Qi Cheng, Jun-Xiu Li, Qi Dai, Xiao Wu, Alexander G. Hauptmann:
Learning Spatial Awareness to Improve Crowd Counting. - Charilaos Efthymiou, Andreas Galanis, Thomas P. Hayes, Daniel Stefankovic, Eric Vigoda:
Improved Strong Spatial Mixing for Colorings on Trees. - Haofeng Li, Guanqi Chen, Guanbin Li, Yizhou Yu:
Motion Guided Attention for Video Salient Object Detection. - Tetiana Parshakova, Jean-Marc Andreoli, Marc Dymetman:
Global Autoregressive Models for Data-Efficient Sequence Learning. - Xian-Ming Gu, Ting-Zhu Huang, Yong-Liang Zhao, Pin Lyu, Bruno Carpentieri:
A fast implicit difference scheme for solving the generalized time-space fractional diffusion equations with variable coefficients. - Maximilian Mackeprang, Claudia Müller-Birn, Maximilian Timo Stauss:
Discovering the Sweet Spot of Human-Computer Configurations: A Case Study in Information Extraction. - Sen Yang, Wankou Yang, Zhen Cui:
Pose Neural Fabrics Search. - Yue Liao, Si Liu, Guanbin Li, Fei Wang, Yanjie Chen, Chen Qian, Bo Li:
A Real-Time Cross-modality Correlation Filtering Method for Referring Expression Comprehension. - Michela Moschella, Emanuele Crisostomi, Robert Shorten:
Stochastic Assignment of Electric Vehicles at Charging Stations Based on Personalized Utility Functions. - Chanho Eom, Hyunjong Park, Bumsub Ham:
Temporally Consistent Depth Prediction with Flow-Guided Memory Units. - Dimitri Korsch, Paul Bodesheim, Joachim Denzler:
Classification-Specific Parts for Improving Fine-Grained Visual Categorization. - Udo Schlegel, Hiba Arnout, Mennatallah El-Assady, Daniela Oelke, Daniel A. Keim:
Towards a Rigorous Evaluation of XAI Methods on Time Series. - Bowen Li, Xiaojuan Qi, Thomas Lukasiewicz, Philip H. S. Torr:
Controllable Text-to-Image Generation. - Hsin-Ying Hsieh, Chieh-Yu Chen, Yu-Shuen Wang, Jung-Hong Chuang:
BasketballGAN: Generating Basketball Play Simulation Through Sketching. - Fidel Barrera-Cruz, Manuel Borrazzo, Giordano Da Lozzo, Giuseppe Di Battista, Fabrizio Frati, Maurizio Patrignani, Vincenzo Roselli:
How to Morph a Tree on a Small Grid. - Cristina Cornelio, Veronika Thost:
RuDaS: Synthetic Datasets for Rule Learning and Evaluation Tools. - Markku Suomalainen, Alexandra Q. Nilles, Steven M. LaValle:
Virtual Reality for Robots. - Yongxiang Huang, Albert Chi-shing Chung:
CELNet: Evidence Localization for Pathology Images using Weakly Supervised Learning. - Constantinos Patsakis, Fran Casino, Vasilios Katos:
Encrypted and Covert DNS Queries for Botnets: Challenges and Countermeasures. - Joachim Bingel, Victor Petrén Bach Hansen, Ana Valeria González-Garduño, Pawel Budzianowski, Isabelle Augenstein, Anders Søgaard:
Domain Transfer in Dialogue Systems without Turn-Level Supervision. - Marco Dinarelli, Loïc Grobol:
Hybrid Neural Models For Sequence Modelling: The Best Of Three Worlds. - Wenjia Wang, Enze Xie, Peize Sun, Wenhai Wang, Lixun Tian, Chunhua Shen, Ping Luo:
TextSR: Content-Aware Text Super-Resolution Guided by Recognition. - Yi-Ta Chen, Yu-Chuan Chuang, An-Yeu Wu:
AdaBoost-assisted Extreme Learning Machine for Efficient Online Sequential Classification. - Dattaraj Rao:
Leveraging human Domain Knowledge to model an empirical Reward function for a Reinforcement Learning problem. - Seungnyun Kim, Jun Won Choi, Byonghyo Shim:
Downlink Pilot Precoding and Compressed Channel Feedback for FDD-Based Cell-Free Systems. - Jingkai Weng, Yujiang Ding, Chengbo Hu, Xuefeng Zhu, Bin Liang, Jing Yang, Jianchun Cheng:
Meta-neural-network for Realtime and Passive Deep-learning-based Object Recognition. - Vikas Gupta, Sanjay Ku Sahoo, Ritesh Kumar Dubey:
Parameter-uniform fitted mesh higher order finite difference scheme for singularly perturbed problem with an interior turning point. - Mohammad Aliannejadi, Dimitrios Rafailidis, Fabio Crestani:
A Joint Two-Phase Time-Sensitive Regularized Collaborative Ranking Model for Point of Interest Recommendation. - Haojie Liu, Kang Liao, Chunyu Lin, Yao Zhao, Yulan Guo:
PLIN: A Network for Pseudo-LiDAR Point Cloud Interpolation. - Dimitrios Sarigiannis, Thomas P. Parnell, Haris Pozidis:
Weighted Sampling for Combined Model Selection and Hyperparameter Tuning. - Shenglan Liu, Yang Yu, Yang Liu, Hong Qiao, Lin Feng, Jiashi Feng:
Hierarchic Neighbors Embedding. - Agnieszka Rychwalska, Geoffrey Goodell, Magdalena Roszczynska-Kurasinska:
Data management for platform-mediated public services: Challenges and best practices. - Avinash Tulasi, Kanay Gupta, Omkar Gurjar, Sathvik Sanjeev Buggana, Paras Mehan, Arun Balaji Buduru, Ponnurangam Kumaraguru:
Catching up with trends: The changing landscape of political discussions on twitter in 2014 and 2019. - Chee Kheng Chng, Yuliang Liu, Yipeng Sun, Chun Chet Ng, Canjie Luo, Zihan Ni, ChuanMing Fang, Shuaitao Zhang, Junyu Han, Errui Ding, Jingtuo Liu, Dimosthenis Karatzas, Chee Seng Chan, Lianwen Jin:
ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT). - Saurabh Gupta, Asmit Kumar Singh, Arun Balaji Buduru, Ponnurangam Kumaraguru:
Hashtags are (not) judgemental: The untold story of Lok Sabha elections 2019. - Michal Kotoun, Petr Peringer, Veronika Soková, Tomás Vojnar:
PredatorHP Attacks Interval-Sized Regions. - P. J. W. Koelewijn, Roland Tóth, Henk Nijmeijer:
Linear Parameter-Varying Control of Nonlinear Systems based on Incremental Stability. - Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff, Vishnu TV:
Meta-Learning for Few-Shot Time Series Classification. - Masanari Kimura, Masayuki Tanaka:
New Perspective of Interpretability of Deep Neural Networks. - Xianlong Zeng, Soheil Moosavinasab, En-Ju D. Lin, Simon M. Lin, Razvan C. Bunescu, Chang Liu:
Distributed representation of patients and its use for medical cost prediction. - Kristian Miok, Dong Nguyen Doan, Blaz Skrlj, Daniela Zaharie, Marko Robnik-Sikonja:
Prediction Uncertainty Estimation for Hate Speech Classification. - Tong Shen, Gaogang Xie, Xin Wang, Zhenyu Li, Xinyi Zhang, Penghao Zhang, Dafang Zhang:
RVH: Range-Vector Hash for Fast Online Packet Classification. - Kaushik Velusamy, Smriti Prathapan, Milton Halem:
Exploring the Behavior of Coherent Accelerator Processor Interface (CAPI) on IBM Power8+ Architecture and FlashSystem 900. - Anthony Boulmier, Franck Raynaud, Nabil Abdennadher, Bastien Chopard:
On the Benefits of Anticipating Load Imbalance for Performance Optimization of Parallel Applications. - Hang Zou, Chao Zhang, Samson Lasaulce, Lucas Saludjian, Patrick Panciatici:
Decision Set Optimization and Energy-Efficient MIMO Communications. - Praboda Rajapaksha, Reza Farahbakhsh, Noël Crespi, Bruno Defude:
Uncovering Flaming Events on News Media in Social Media. - Abhinav Jangda, Arjun Guha:
Model-Based Warp-Level Tiling for Image Processing Programs on GPUs. - Marko Bjelonic, Prajish K. Sankar, C. Dario Bellicoso, Heike Vallery, Marco Hutter:
Rolling in the Deep - Hybrid Locomotion for Wheeled-Legged Robots using Online Trajectory Optimization. - Darko Volkov:
Stochastic solutions to mixed linear and nonlinear inverse problems. - Oliver Struckmeier, Kshitij Tiwari, Shirin Dora, Martin J. Pearson, Sander M. Bohté, Cyriel M. A. Pennartz, Ville Kyrki:
MuPNet: Multi-modal Predictive Coding Network for Place Recognition by Unsupervised Learning of Joint Visuo-Tactile Latent Representations. - Jingrun Chen, Sijing Li, Zhiwen Zhang:
Efficient multiscale methods for the semiclassical Schrödinger equation with time-dependent potentials. - Emna Rejaibi, Ali Komaty, Fabrice Mériaudeau, Said Agrebi, Alice Othmani:
MFCC-based Recurrent Neural Network for Automatic Clinical Depression Recognition and Assessment from Speech. - Shawkat Sabah Khairullah, Ahmed A. Mostfa:
Reliability and Safety Modeling of a Digital Feed Water Control System. - Qingyao Ai, Yongfeng Zhang, Keping Bi, W. Bruce Croft:
Explainable Product Search with a Dynamic Relation Embedding Model. - Jacob Deasy, Pietro Liò, Ari Ercole:
Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or pre-processing. - Nina Golyandina, Anatoly Zhigljavsky:
Blind deconvolution of covariance matrix inverses for autoregressive processes. - Johanna Sommer, Dimitrios Sarigiannis, Thomas P. Parnell:
Learning to Tune XGBoost with XGBoost. - Daniel Perez, Benjamin Livshits:
Broken Metre: Attacking Resource Metering in EVM. - Duc-Ly Vu, Trong-Kha Nguyen, Tam V. Nguyen, Tu N. Nguyen, Fabio Massacci, Phu H. Phung:
A Convolutional Transformation Network for Malware Classification. - Xiangtai Li, Li Zhang, Ansheng You, Maoke Yang, Kuiyuan Yang, Yunhai Tong:
Global Aggregation then Local Distribution in Fully Convolutional Networks. - Muhamad Risqi Utama Saputra, Pedro P. B. de Gusmao, Chris Xiaoxuan Lu, Yasin Almalioglu, Stefano Rosa, Changhao Chen, Johan Wahlström, Wei Wang, Andrew Markham, Niki Trigoni:
DeepTIO: A Deep Thermal-Inertial Odometry with Visual Hallucination. - Renjie Jin, Derong Xie, Jinquan Luo:
Two New Classes of Entanglement-assisted Quantum MDS Codes. - Florian Köpf, Simon Ramsteiner, Michael Flad, Sören Hohmann:
Adaptive Dynamic Programming for Model-free Tracking of Trajectories with Time-varying Parameters. - Alun D. Preece:
BMVC 2019: Workshop on Interpretable and Explainable Machine Vision. - Arturas Straizys, Michael Burke, Subramanian Ramamoorthy:
Surfing on an uncertain edge: Precision cutting of soft tissue using torque-based medium classification. - Zhe Yu, Jeffrey C. Carver, Gregg Rothermel, Tim Menzies:
Searching for Better Test Case Prioritization Schemes: a Case Study of AI-assisted Systematic Literature Review. - Laurent Feuilloley:
Note on distributed certification of minimum spanning trees. - Milad Ganjalizadeh, Piergiuseppe Di Marco, Jonas Kronander, Joachim Sachs, Marina Petrova:
Impact of Correlated Failures in 5G Dual Connectivity Architectures for URLLC Applications. - Elisabete Alberdi, Mikel Antoñana, Joseba Makazaga, Ander Murua:
An algorithm based on continuation techniques for minimization problems with highly non-linear equality constraints. - Jiawei Mo, Junaed Sattar:
Place Recognition for Stereo VisualOdometry using LiDAR Descriptors. - Jessica Rivera-Villicana, Fabio Zambetta, James Harland, Marsha Berry:
Exploring Apprenticeship Learning for Player Modelling in Interactive Narratives. - Kai-Xuan Chen, Xiao-Jun Wu, Jie-Yi Ren, Rui Wang, Josef Kittler:
More About Covariance Descriptors for Image Set Coding: Log-Euclidean Framework based Kernel Matrix Representation. - Boyu Ning, Zhi Chen, W. Chen, Jun Fang:
Intelligent Reflecting Surface Design for MIMO System by Maximizing Sum-Path-Gains. - Paul Temple, Mathieu Acher, Gilles Perrouin, Battista Biggio, Jean-Marc Jézéquel, Fabio Roli:
Towards Quality Assurance of Software Product Lines with Adversarial Configurations. - Mark Hasegawa-Johnson, Camille Goudeseune, Gina-Anne Levow:
Fast transcription of speech in low-resource languages. - Benjamin Newman, Reuben Cohn-Gordon, Christopher Potts:
Communication-based Evaluation for Natural Language Generation. - Imad H. Hasan, Bestoun S. Ahmed, Moayad Y. Potrus, Kamal Z. Zamli:
Generation and Application of Constrained Interaction Test Suites Using Base Forbidden Tuples With Mixed Neighborhood Tabu Search. - Peter Morales, Rajmonda Sulo Caceres, Tina Eliassi-Rad:
Deep Reinforcement Learning for Task-driven Discovery of Incomplete Networks. - Didier Galmiche, Pierre Kimmel, David J. Pym:
A Substructural Epistemic Resource Logic: Theory and Modelling Applications. - Alper Kamil Bozkurt, Yu Wang, Michael M. Zavlanos, Miroslav Pajic:
Control Synthesis from Linear Temporal Logic Specifications using Model-Free Reinforcement Learning. - Gabriele Loli, Monica Montardini, Giancarlo Sangalli, Mattia Tani:
Space-time Galerkin isogeometric method and efficient solver for parabolic problem. - Saeed Rahimi Gorji, Ole-Christoffer Granmo, Adrian Phoulady, Morten Goodwin:
A Tsetlin Machine with Multigranular Clauses. - Artem L. Pavlov, Azat Davletshin, Alexey Kharlamov, Maksim S. Koriukin, Artem Vasenin, Pavel Solovev, Pavel Ostyakov, Pavel A. Karpyshev, George V. Ovchinnikov, Ivan V. Oseledets, Dzmitry Tsetserukou:
Recognition of Russian traffic signs in winter conditions. Solutions of the "Ice Vision" competition winners. - Elizabeth Baldwin, Paul W. Goldberg, Paul Klemperer, Edwin Lock:
Solving Strong-Substitutes Product-Mix Auctions. - Luke S. Snyder, Morteza Karimzadeh, Christina Stober, David S. Ebert:
Situational Awareness Enhanced through Social Media Analytics: A Survey of First Responders. - Dusan Knop, Martin Koutecký, Asaf Levin, Matthias Mnich, Shmuel Onn:
Multitype Integer Monoid Optimization and Applications. - Nuri Cingillioglu, Alessandra Russo:
Learning Invariants through Soft Unification. - Daniil Stepanov, Marat Akhin, Mikhail A. Belyaev:
ReduKtor: How We Stopped Worrying About Bugs in Kotlin Compiler. - Surafel Melaku Lakew, Marcello Federico, Matteo Negri, Marco Turchi:
Multilingual Neural Machine Translation for Zero-Resource Languages. - Alan Arroyo, Fabian Klute, Irene Parada, Raimund Seidel, Birgit Vogtenhuber, Tilo Wiedera:
Extending simple drawings with one edge is hard. - David Ott, Christopher Peikert, et al.:
Identifying Research Challenges in Post Quantum Cryptography Migration and Cryptographic Agility. - Madjid Khalilian, Shiva Hassanzadeh:
Document classification methods. - Xingbo Fu, Feng Gao, Jiang Wu, Xinyu Wei, Fangwei Duan:
Spatiotemporal Attention Networks for Wind Power Forecasting. - Awais Ashfaq, Slawomir Nowaczyk:
Machine learning in healthcare - a system's perspective. - Diana Medina, Grissa Maturana, Fernán Villa, Carlos Mario Zapata:
A prototype for a serious digital game to teach linguistic ontologies. - (Withdrawn) Modeling Traffic Congestion with Spatiotemporal Big Data for An Intelligent Freeway Monitoring System.
- Zac Wellmer, James T. Kwok:
Policy Prediction Network: Model-Free Behavior Policy with Model-Based Learning in Continuous Action Space. - Yanlong Huang, Darwin G. Caldwell:
A Linearly Constrained Nonparametric Framework for Imitation Learning. - Keehang Kwon:
Extending and Automating Basic Probability Theory with Propositional Computability Logic. - Niko Sünderhauf:
Where are the Keys? - Learning Object-Centric Navigation Policies on Semantic Maps with Graph Convolutional Networks. - Mingzhu Shen, Kai Han, Chunjing Xu, Yunhe Wang:
Searching for Accurate Binary Neural Architectures. - Peter West, Ari Holtzman, Jan Buys, Yejin Choi:
BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle. - Anand Kumar Narayanan, Matthew Weidner:
On Decoding Cohen-Haeupler-Schulman Tree Codes. - Dhairya Malhotra, Antoine J. Cerfon, Michael O'Neil, Evan Toler:
Efficient high-order singular quadrature schemes in magnetic fusion. - Marco Fiorucci:
Regular Partitions and Their Use in Structural Pattern Recognition. - Abdul Fatir Ansari, Jonathan Scarlett, Harold Soh:
A Characteristic Function Approach to Deep Implicit Generative Modeling. - Ayush Jain, Ziqi Zhou, Ujjwal Guin:
TAAL: Tampering Attack on Any Key-based Logic Locked Circuits. - Clinton Ehrlich, Anna Guzova:
KRNC: New Foundations for Permissionless Byzantine Consensus and Global Monetary Stability. - Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra:
HERALD: Optimizing Heterogeneous DNN Accelerators for Edge Devices. - Emil Pricop:
On the design of an innovative solution for increasing hazardous materials transportation safety. - Jeremy Welborn, Michael Schaarschmidt, Eiko Yoneki:
Learning Index Selection with Structured Action Spaces. - Ephrem Admasu Yekun, Abrahaley Teklay:
Student Performance Prediction with Optimum Multilabel Ensemble Model. - David Cerezo Sánchez:
Truthful and Faithful Monetary Policy for a Stablecoin Conducted by a Decentralised, Encrypted Artificial Intelligence. - Kai-Yuan Lai, Hsueh-I Lu, Mikkel Thorup:
Three-in-a-Tree in Near Linear Time. - Matthias Kirchhart, Christian Rieger:
A Particle Method without Remeshing. - Paritosh Ramanan, Kiyoshi Nakayama, Ratnesh Sharma:
BAFFLE : Blockchain based Aggregator Free Federated Learning. - Pierre Tholoniat, Vincent Gramoli:
Certifying Blockchain Byzantine Fault Tolerance. - Kin Quan, Ryutaro Tanno, Rebecca J. Shipley, Jeremy S. Brown, Joseph Jacob, John R. Hurst, David J. Hawkes:
Reproducibility of an airway tapering measurement in CT with application to bronchiectasis. - Daniel Kopp, Matthias Wichtlhuber, Ingmar Poese, Jair Santanna, Oliver Hohlfeld, Christoph Dietzel:
DDoS Hide & Seek: On the Effectiveness of a Booter Services Takedown. - (Withdrawn) An Asymptotic Analysis on Generalized Secretary Problem.
- Chen Jiang, Steven Weikai Lu, Martin Jägersand:
Constructing Dynamic Knowledge Graph for Visual Semantic Understanding and Applications in Autonomous Robotics. - Simon R. Thorne, Jamie Hancock:
A Case Study of Spreadsheet Use within the Finance and Academic Registry units within a Higher Education Institution. - Xiaotong Liu, Hong Xuan, Zeyu Zhang, Abby Stylianou, Robert Pless:
Visualizing How Embeddings Generalize. - Kunal Bagewadi, Joseph Campbell, Heni Ben Amor:
Multimodal Dataset of Human-Robot Hugging Interaction. - Pratik Mukherjee, Matteo Santilli, Andrea Gasparri, Ryan K. Williams:
Experimental Validation of Stable Coordination for Multi-Robot Systems with Limited Fields of View using a PortableMulti-Robot Testbed. - Wlodzimierz Drabent:
On correctness of an n queens program. - Shenhao Wang, Jinhua Zhao:
Deep Neural Networks for Choice Analysis: Architectural Design with Alternative-Specific Utility Functions. - Benjamin Beyret, José Hernández-Orallo, Lucy Cheke, Marta Halina, Murray Shanahan, Matthew Crosby:
The Animal-AI Environment: Training and Testing Animal-Like Artificial Cognition. - Anand Subramoney, Franz Scherr, Wolfgang Maass:
Reservoirs learn to learn. - Jayam Patel, Carlo Pinciroli:
Improving Human Performance Using Mixed Granularity of Control in Multi-Human Multi-Robot Interaction. - Rayan Mosli, Matthew Wright, Bo Yuan, Yin Pan:
They Might NOT Be Giants: Crafting Black-Box Adversarial Examples with Fewer Queries Using Particle Swarm Optimization. - Alexander A. Sherstov, Justin Thaler:
Vanishing-Error Approximate Degree and QMA Complexity. - Menghua Zhai, Tawfiq Salem, Connor Greenwell, Scott Workman, Robert Pless, Nathan Jacobs:
Learning Geo-Temporal Image Features. - Benjamin Shickel, Scott Siegel, Martin Heesacker, Sherry Benton, Parisa Rashidi:
Automatic Detection and Classification of Cognitive Distortions in Mental Health Text. - Daniela A. Ridel, Nachiket Deo, Denis F. Wolf, Mohan M. Trivedi:
Scene Compliant Trajectory Forecast with Agent-Centric Spatio-Temporal Grids. - Dishant Goyal, Ragesh Jaiswal, Amit Kumar:
Streaming PTAS for Constrained k-Means. - Duncan Cameron-Steinke:
Short-Text Classification Using Unsupervised Keyword Expansion. - Shihui Yin, Xiaoyu Sun, Shimeng Yu, Jae-sun Seo:
High-Throughput In-Memory Computing for Binary Deep Neural Networks with Monolithically Integrated RRAM and 90nm CMOS. - Ragesh Jaiswal, Amit Kumar:
Multiplicative Rank-1 Approximation using Length-Squared Sampling. - Kyle Richardson, Hai Hu, Lawrence S. Moss, Ashish Sabharwal:
Probing Natural Language Inference Models through Semantic Fragments. - Lianwei Wu, Yuan Rao, Ambreen Nazir, Haolin Jin:
Discovering Differential Features: Adversarial Learning for Information Credibility Evaluation. - Dina B. Efremova, Mangalam Sankupellay, Dmitry A. Konovalov:
Data-Efficient Classification of Birdcall Through Convolutional Neural Networks Transfer Learning. - Bowen Baker, Ingmar Kanitscheider, Todor M. Markov, Yi Wu, Glenn Powell, Bob McGrew, Igor Mordatch:
Emergent Tool Use From Multi-Agent Autocurricula. - Arvind Narayanan, Jason Carpenter, Eman Ramadan, Qingxu Liu, Yu Liu, Feng Qian, Zhi-Li Zhang:
A First Measurement Study of Commercial mmWave 5G Performance on Smartphones. - Mahdi Soleymani, Hessam Mahdavifar:
Analog Subspace Coding: A New Approach to Coding for Non-Coherent Wireless Networks. - Diptarama Hendrian:
Generalized Dictionary Matching under Substring Consistent Equivalence Relations. - Hiroaki Suzuki, Daiki Chiba, Yoshiro Yoneya, Tatsuya Mori, Shigeki Goto:
ShamFinder: An Automated Framework for Detecting IDN Homographs. - Quang-Hieu Pham, Pierre Sevestre, Ramanpreet Singh Pahwa, Huijing Zhan, Chun Ho Pang, Yuda Chen, Armin Mustafa, Vijay Chandrasekhar, Jie Lin:
A*3D Dataset: Towards Autonomous Driving in Challenging Environments. - Thang Doan, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm:
Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning. - Menandro Roxas, Takeshi Oishi:
Real-Time Variational Fisheye Stereo without Rectification and Undistortion. - Abdelrhman Saleh, Natasha Jaques, Asma Ghandeharioun, Judy Hanwen Shen, Rosalind W. Picard:
Hierarchical Reinforcement Learning for Open-Domain Dialog. - Linjie Deng, Yanxiang Gong, Xinchen Lu, Yi Lin, Zheng Ma, Mei Xie:
STELA: A Real-Time Scene Text Detector with Learned Anchor. - Huaxiao Mo, Tingting Song, Bolin Chen, Weiqi Luo, Jiwu Huang:
Enhancing JPEG Steganography using Iterative Adversarial Examples. - Sen Huang, Mingyu Xiao:
Object Reachability via Swaps under Strict and Weak Preferences. - (Withdrawn) HAD-GAN: A Human-perception Auxiliary Defense GAN to Defend Adversarial Examples.
- Alex D. Pon, Jason Ku, Chengyao Li, Steven L. Waslander:
Object-Centric Stereo Matching for 3D Object Detection. - Vishal Sharma, Jiyoon Kim, Yongho Ko, Ilsun You, Jung-Taek Seo:
An optimal security management framework for backhaul-aware 5G-Vehicle to Everything (V2X). - Boian S. Alexandrov, Derek DeSantis, Gianmarco Manzini, Erik Skau:
Nonnegative Canonical Polyadic Decomposition with Rank Deficient Factors. - Hongtao Wu, Deven Misra, Gregory S. Chirikjian:
Is That a Chair? Imagining Affordances Using Simulations of an Articulated Human Body. - Chengyi Wang, Yu Wu, Shujie Liu, Zhenglu Yang, Ming Zhou:
Bridging the Gap between Pre-Training and Fine-Tuning for End-to-End Speech Translation. - Yaser Alwatter, Yuhong Guo:
Inverse Visual Question Answering with Multi-Level Attentions. - Xudong Han, Philip Schulz, Trevor Cohn:
Grounding learning of modifier dynamics: An application to color naming. - Sayan Putatunda:
A Hybrid Deep Learning Approach for Diagnosis of the Erythemato-Squamous Disease. - Jun Sun, Tianyi Chen, Georgios B. Giannakis, Zaiyue Yang:
Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients. - Masahiro Hamano:
A Linear Exponential Comonad in s-finite Transition Kernels and Probabilistic Coherent Spaces. - Hongtu Zhou, Xinneng Yang, Enwei Zhang, Junqiao Zhao, Lewen Cai, Chen Ye, Yan Wu:
Real-time Multi-target Path Prediction and Planning for Autonomous Driving aided by FCN. - Hao Li, Wei Lu:
Learning Explicit and Implicit Structures for Targeted Sentiment Analysis. - Lalith Srikanth Chintalapati, Raghunatha Sarma Rachakonda:
Conformal Prediction based Spectral Clustering. - Abhijit Suprem, Calton Pu:
ASSED - A Framework for Identifying Physical Events through Adaptive Social Sensor Data Filtering. - Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Hong Wang, Shiyu Chang, Murray Campbell, William Yang Wang:
Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering. - Ameya Godbole, Dilip Kavarthapu, Rajarshi Das, Zhiyu Gong, Abhishek Singhal, Hamed Zamani, Mo Yu, Tian Gao, Xiaoxiao Guo, Manzil Zaheer, Andrew McCallum:
Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering. - Weijie Liu, Peng Zhou, Zhe Zhao, Zhiruo Wang, Qi Ju, Haotang Deng, Ping Wang:
K-BERT: Enabling Language Representation with Knowledge Graph. - Zhi-Qi Cheng, Jun-Xiu Li, Qi Dai, Xiao Wu, Jun-Yan He, Alexander G. Hauptmann:
Improving the Learning of Multi-column Convolutional Neural Network for Crowd Counting. - Yijun Yuan, Qingwen Xu, Sören Schwertfeger:
Configuration-Space Flipper Planning on 3D Terrain. - Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang:
Alleviating Feature Confusion for Generative Zero-shot Learning. - Anika Schwind, Florian Wamser, Stefan Wunderer, Christian Gassner, Tobias Hoßfeld:
Mobile Internet Experience: Urban vs. Rural - Saturation vs. Starving? - Jingjing Li, Erpeng Chen, Zhengming Ding, Lei Zhu, Ke Lu, Zi Huang:
Cycle-consistent Conditional Adversarial Transfer Networks. - Di Qiu, Jiahao Pang, Wenxiu Sun, Chengxi Yang:
Deep End-to-End Alignment and Refinement for Time-of-Flight RGB-D Module. - Rahul Sharma, Abhishek Kumar, Piyush Rai:
Refined α-Divergence Variational Inference via Rejection Sampling. - Yuriy V. Pershin:
A Demonstration of Implication Logic Based on Volatile (Diffusive) Memristors. - Chris Balles, Ateeq Sharfuddin:
Breaking Imphash. - Juncheng Shen, Juzheng Liu, Yiran Chen, Hai Li:
Towards Efficient and Secure Delivery of Data for Deep Learning with Privacy-Preserving. - Ziyue Huang, Ke Yi:
Communication-Efficient Weighted Sampling and Quantile Summary for GBDT. - Mohammad Hadi Sadraei, Mohammad Sadegh Fazel, Ali Mohammad Doost-Hoseini:
Ergodic Spectral Efficiency of Massive MIMO with Correlated Rician Channel and MRC Detection based on LS and MMSE Channel Estimation. - Gil Shomron, Ron Banner, Moran Shkolnik, Uri C. Weiser:
Thanks for Nothing: Predicting Zero-Valued Activations with Lightweight Convolutional Neural Networks. - Yin Xu, Zhili Chen, Hong Zhong:
Privacy-preserving Double Auction Mechanism Based on Homomorphic Encryption and Sorting Networks. - Bart Bogaerts, Esra Erdem, Paul Fodor, Andrea Formisano, Giovambattista Ianni, Daniela Inclezan, Germán Vidal, Alicia Villanueva, Marina De Vos, Fangkai Yang:
Proceedings 35th International Conference on Logic Programming (Technical Communications), ICLP 2019 Technical Communications, Las Cruces, NM, USA, September 20-25, 2019. EPTCS 306, 2019 [contents] - Hisao Tamaki:
A heuristic use of dynamic programming to upperbound treewidth. - Georgios Amanatidis, Apostolos Ntokos, Evangelos Markakis:
Multiple Birds with One Stone: Beating 1/2 for EFX and GMMS via Envy Cycle Elimination. - Loïc Hélouët, Nicolas Markey, Ritam Raha:
Reachability Games with Relaxed Energy Constraints. 17-33 - Tomaso Fontanini, Eleonora Iotti, Andrea Prati:
MetalGAN: a Cluster-based Adaptive Training for Few-Shot Adversarial Colorization. - Corina Cîrstea:
Resource-Aware Automata and Games for Optimal Synthesis. 50-65 - Tom van Dijk, Bob Rubbens:
Simple Fixpoint Iteration To Solve Parity Games. 123-139 - Pascal Caron, Edwin Hamel-De le Court, Jean-Gabriel Luque:
Algebraic and Combinatorial Tools for State Complexity : Application to the Star-Xor Problem. 154-168 - Andrea Pilzer, Stéphane Lathuilière, Dan Xu, Mihai Marian Puscas, Elisa Ricci, Nicu Sebe:
Progressive Fusion for Unsupervised Binocular Depth Estimation using Cycled Networks. - Lorenzo Rapetti, Yeshasvi Tirupachuri, Kourosh Darvish, Claudia Latella, Daniele Pucci:
Model-Based Real-Time Motion Tracking using Dynamical Inverse Kinematics. - Luis G. Camara, Libor Preucil:
Spatio-Semantic ConvNet-Based Visual Place Recognition. - Leonardo R. Rodrigues, Marcelo Pasin, Omir C. Alves Jr., Charles Christian Miers, Maurício Aronne Pillon, Pascal Felber, Guilherme Piêgas Koslovski:
Network-Aware Container Scheduling in Multi-Tenant Data Center. - Amanda Vidal, Francesc Esteva, Lluís Godo:
Axiomatizing logics of fuzzy preferences using graded modalities. - Émilie Charlier, Célia Cisternino, Adeline Massuir:
State Complexity of the Multiples of the Thue-Morse Set. 34-49 - Lilin Qian, Xin Xu, Yujun Zeng, Xiaohui Li, Zhenping Sun, Hang Song:
Synchronous Maneuver Searching and Trajectory Planning for Autonomous Vehicles in Dynamic Traffic Environments. - Fabian Wagner, Jonas Latz, Iason Papaioannou, Elisabeth Ullmann:
Multilevel Sequential Importance Sampling for Rare Event Estimation. - Yue Liu, Helena Lee, Palakorn Achananuparp, Ee-Peng Lim, Tzu-Ling Cheng, Shou-De Lin:
Characterizing and Predicting Repeat Food Consumption Behavior for Just-in-Time Interventions. - Lars Arge, Allan Grønlund, Svend Christian Svendsen, Jonas Tranberg:
Learning to Find Hydrological Corrections. - Václav Bartos, Martin Zádník, Sheikh Mahbub Habib, Emmanouil Vasilomanolakis:
Network entity characterization and attack prediction. - Naif Alshammari, Samet Akçay, Toby P. Breckon:
Multi-Task Learning for Automotive Foggy Scene Understanding via Domain Adaptation to an Illumination-Invariant Representation. - Clara Marie Lüders, Mikko Raatikainen, Joaquim Motger, Walid Maalej:
OpenReq Issue Link Map: A Tool to Visualize Issue Links in Jira. - Roohollah Rezaei, Naeimeh Omidvar, Mohammad Movahednasab, Mohammad Reza Pakravan, Sumei Sun, Yong Liang Guan:
Efficient, Fair and QoS-Aware Policies for Wirelessly Powered Communication Networks. - Xinlong Wang, Wei Yin, Tao Kong, Yuning Jiang, Lei Li, Chunhua Shen:
Task-Aware Monocular Depth Estimation for 3D Object Detection. - Jürgen Scherer, Bernhard Rinner:
Multi-robot persistent surveillance with connectivity constraints. - Vaibhav Bansal, Stuart James, Alessio Del Bue:
re-OBJ: Jointly Learning the Foreground and Background for Object Instance Re-identification. - Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis:
Variational Bayesian Context-aware Representation for Grocery Recommendation. - Florin Leon, Marius Gavrilescu:
A Review of Tracking, Prediction and Decision Making Methods for Autonomous Driving. - Zexi Chen, Haodong Zhang, Dashun Guo, Shenhan Jia, Xianze Fang, Zheyuan Huang, Yunkai Wang, Peng Hu, Licheng Wen, Lingyun Chen, Zhengxi Li, Rong Xiong:
Champion Team Paper: Dynamic Passing-Shooting Algorithm Based on CUDA of The RoboCup SSL 2019 Champion. - Kailun Yang, Xinxin Hu, Hao Chen, Kaite Xiang, Kaiwei Wang, Rainer Stiefelhagen:
DS-PASS: Detail-Sensitive Panoramic Annular Semantic Segmentation through SwaftNet for Surrounding Sensing. - Luxuan Li, Tao Kong, Fuchun Sun, Huaping Liu:
Deep Point-wise Prediction for Action Temporal Proposal. - Yi Liu, Chao Pang, Zongqian Zhan, Xiaomeng Zhang, Xue Yang:
Building Change Detection for Remote Sensing Images Using a Dual Task Constrained Deep Siamese Convolutional Network Model. - Jingshu Liu, Yuan Li:
An Image Based Visual Servo Approach with Deep Learning for Robotic Manipulation. - Abhisek Kundu, Sudarshan Srinivasan, Eric C. Qin, Dhiraj D. Kalamkar, Naveen K. Mellempudi, Dipankar Das, Kunal Banerjee, Bharat Kaul, Pradeep Dubey:
K-TanH: Hardware Efficient Activations For Deep Learning. - Alexander Schindler, Peter Knees:
Multi-Task Music Representation Learning from Multi-Label Embeddings. - Stéphane Caron:
Biped Stabilization by Linear Feedback of the Variable-Height Inverted Pendulum Model. - Boaz Shmueli, Lun-Wei Ku:
SocialNLP EmotionX 2019 Challenge Overview: Predicting Emotions in Spoken Dialogues and Chats. - Jifan Yu, Chenyu Wang, Gan Luo, Lei Hou, Juanzi Li, Jie Tang, Zhiyuan Liu:
Course Concept Expansion in MOOCs with External Knowledge and Interactive Game. - Yipeng Sun, Zihan Ni, Chee Kheng Chng, Yuliang Liu, Canjie Luo, Chun Chet Ng, Junyu Han, Errui Ding, Jingtuo Liu, Dimosthenis Karatzas, Chee Seng Chan, Lianwen Jin:
ICDAR 2019 Competition on Large-scale Street View Text with Partial Labeling - RRC-LSVT. - Xi Chen, Ali Ghadirzadeh, Mårten Björkman, Patric Jensfelt:
Adversarial Feature Training for Generalizable Robotic Visuomotor Control. - Shobhit Jain, Sravan Babu Bodapati, Ramesh Nallapati, Anima Anandkumar:
Multi Sense Embeddings from Topic Models. - Sara Kassan, Jaafar Gaber, Pascal Lorenz:
Autonomous Energy Management system achieving piezoelectric energy harvesting in Wireless Sensors. - Raghu Rajan, Frank Hutter:
!MDP Playground: Meta-Features in Reinforcement Learning. - Karlheinz Gröchenig:
Sampling, Marcinkiewicz-Zygmund Inequalities, Approximation, and Quadrature Rules. - Markus Eberts, Adrian Ulges:
Span-based Joint Entity and Relation Extraction with Transformer Pre-training. - Guillaume Labbe-Morissette, Sylvain Gauthier:
A machine vision meta-algorithm for automated recognition of underwater objects using sidescan sonar imagery. - Qidong Liu, Ruisheng Zhang:
Global Optimal Path-Based Clustering Algorithm. - Junhua Liu, Chu Guo, Kristin L. Wood, Kwan Hui Lim:
Crowd-aware itinerary recommendation: a game-theoretic approach to optimize social welfare. - Pieter Appeltans, Wim Michiels:
A pseudo-spectra based characterisation of the robust strong H-infinity norm of time-delay systems with real-valued and structured uncertainties. - Samuel S. Brito, Haroldo G. Santos:
Preprocessing and Cutting Planes with Conflict Graphs. - Satya Narayan Shukla, Benjamin M. Marlin:
Interpolation-Prediction Networks for Irregularly Sampled Time Series. - Nilay Shrivastava, Nikaash Puri, Piyush Gupta, Balaji Krishnamurthy, Sukriti Verma:
OpticalGAN : Generative Adversarial Networks for Continuous Variable Quantum Computation. - Yipeng Sun, Jiaming Liu, Wei Liu, Junyu Han, Errui Ding, Jingtuo Liu:
Chinese Street View Text: Large-scale Chinese Text Reading with Partially Supervised Learning. - Abhijeet Parida, Arianne Tran, Nassir Navab, Shadi Albarqouni:
Learn to Segment Organs with a Few Bounding Boxes. - Sajeev Ahuja, Raj Kumar Arya:
Consistent Initialization of the Laplace Transform. - Nishant Kumar, Mayank Rathee, Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma:
CrypTFlow: Secure TensorFlow Inference. - Jiawei Gao:
The Computational Complexity of Fire Emblem Series and similar Tactical Role-Playing Games. - Hyungro Lee, Heng Ma, Matteo Turilli, Debsindhu Bhowmik, Shantenu Jha, Arvind Ramanathan:
DeepDriveMD: Deep-Learning Driven Adaptive Molecular Simulations for Protein Folding. - Lasse Hansen, Doris Dittmer, Mattias P. Heinrich:
Learning Deformable Point Set Registration with Regularized Dynamic Graph CNNs for Large Lung Motion in COPD Patients. - Sisheng Liang, Zhou Yang, Fang Jin, Yong Chen:
Job Scheduling on Data Centers with Deep Reinforcement Learning. - Love Kumar Sah, Sheikh Ariful Islam, Srinivas Katkoori:
Variable Record Table: A Run-time Solution for Mitigating Buffer Overflow Attack. - Qingyang Li, Guoqiang Zhong, Cui Xie:
Weak Edge Identification Nets for Ocean Front Detection. - Konstantin Sofiiuk, Olga Barinova, Anton Konushin:
AdaptIS: Adaptive Instance Selection Network. - Lixin Fan, Kam Woh Ng, Chee Seng Chan:
Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks. - Emre Eraslan, Yildiray Yildiz, Anuradha M. Annaswamy:
Shared Control Between Pilots and Autopilots: Illustration of a Cyber-Physical Human System. - Rui Chen, Wenshuo Wang, Zirui Zhao, Ding Zhao:
Active Learning for Risk-Sensitive Inverse Reinforcement Learning. - Wei-Hung Weng, Yuannan Cai, Angela Lin, Fraser Tan, Po-Hsuan Cameron Chen:
Multimodal Multitask Representation Learning for Pathology Biobank Metadata Prediction. - Shimin Wang, Jie Huang:
Adaptive Leader-Following Consensus for Multiple Euler-Lagrange Systems with an Uncertain Leader System. - Manas Jyoti Kashyop, N. S. Narayanaswamy, Meghana Nasre, Sai Mohith Potluri:
Dynamic coloring for Bipartite and General Graphs. - (Withdrawn) Learning to Search for MIMO Detection.
- Lukas Kölsch, Kirtan Bhatt, Stefan Krebs, Sören Hohmann:
Steady-State Optimal Frequency Control for Lossy Power Grids with Distributed Communication. - Aditya Surikuchi, Jorma Laaksonen:
Character-Centric Storytelling. - Daniele De Sensi, Salvatore Di Girolamo, Torsten Hoefler:
Mitigating Network Noise on Dragonfly Networks through Application-Aware Routing. - Maximilian Bachl, Alexander Hartl, Joachim Fabini, Tanja Zseby:
Walling up Backdoors in Intrusion Detection Systems. - Braden Hurl, Robin Cohen, Krzysztof Czarnecki, Steven L. Waslander:
TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic Data. - Perttu Hämäläinen, Juuso Toikka, C. Karen Liu:
Visualizing Movement Control Optimization Landscapes. - Markus Löning, Anthony J. Bagnall, Sajaysurya Ganesh, Viktor Kazakov, Jason Lines, Franz J. Király:
sktime: A Unified Interface for Machine Learning with Time Series. - Prashanth Vijayaraghavan, Deb Roy:
Generating Black-Box Adversarial Examples for Text Classifiers Using a Deep Reinforced Model. - Matthew Wilson, Tucker Hermans:
Learning to Manipulate Object Collections Using Grounded State Representations. - Xiaoming Yu, Yuanqi Chen, Thomas H. Li, Shan Liu, Ge Li:
Multi-mapping Image-to-Image Translation via Learning Disentanglement. - Helena Lee, Palakorn Achananuparp, Yue Liu, Ee-Peng Lim, Lav R. Varshney:
Estimating Glycemic Impact of Cooking Recipes via Online Crowdsourcing and Machine Learning. - Pietro Pierpaoli, Harish Ravichandar, Nicholas R. Waytowich, Anqi Li, Derrik E. Asher, Magnus Egerstedt:
Inferring and Learning Multi-Robot Policies by Observing an Expert. - Vishalini R. Laguduva, Sheikh Ariful Islam, Sathyanarayanan N. Aakur, Srinivas Katkoori, Robert Karam:
Machine Learning based IoT Edge Node Security Attack and Countermeasures. - Rocsildes Canoy, Tias Guns:
Vehicle routing by learning from historical solutions. - Ye Wang, Ali Zibaeenejad, Yaohui Jing, Jun Chen:
On the Optimality of the Greedy Policy for Battery Limited Energy Harvesting Communications. - Taivanbat Badamdorj, Adiel Ben-Shalom, Nachum Dershowitz, Lior Wolf:
Fast Search with Poor OCR. - Jetic Gu, Hassan S. Shavarani, Anoop Sarkar:
Pointer-based Fusion of Bilingual Lexicons into Neural Machine Translation. - Tayfun Gokmen, Wilfried Haensch:
Algorithm for Training Neural Networks on Resistive Device Arrays. - Stefano Massei, Leonardo Robol, Daniel Kressner:
hm-toolbox: Matlab software for HODLR and HSS matrices. - Danish Pruthi, Mansi Gupta, Bhuwan Dhingra, Graham Neubig, Zachary C. Lipton:
Learning to Deceive with Attention-Based Explanations. - Karthekeyan Chandrasekaran, Elena Grigorescu, Gabriel Istrate, Shubhang Kulkarni, Young-San Lin, Minshen Zhu:
The Maximum Binary Tree Problem. - Ehsan Arabi, Kunal Garg, Dimitra Panagou:
Safety-Critical Adaptive Control with Nonlinear Reference Model Systems. - Yinghua Hu, Vivek V. Menon, Andrew G. Schmidt, Joshua S. Monson, Matthew French, Pierluigi Nuzzo:
Toward Efficient Evaluation of Logic Encryption Schemes: Models and Metrics. - Elisabet Lobo Vesga, Alejandro Russo, Marco Gaboardi:
A Programming Framework for Differential Privacy with Accuracy Concentration Bounds. - Satoru Iwata, Yu Yokoi:
Combinatorial Algorithms for Edge-Disjoint T-Paths and Integer Free Multiflow. - Andrea Schioppa:
Distributed Function Minimization in Apache Spark. - Ella Rabinovich, Julia Watson, Barend Beekhuizen, Suzanne Stevenson:
Say Anything: Automatic Semantic Infelicity Detection in L2 English Indefinite Pronouns. - Kaylea Champion, Nora McDonald, Stephanie Bankes, Joseph Zhang, Rachel Greenstadt, Andrea Forte, Benjamin Mako Hill:
A Forensic Qualitative Analysis of Contributions to Wikipedia from Anonymity Seeking Users. - Piero Molino, Yaroslav Dudin, Sai Sumanth Miryala:
Ludwig: a type-based declarative deep learning toolbox. - Eric Wallace, Yizhong Wang, Sujian Li, Sameer Singh, Matt Gardner:
Do NLP Models Know Numbers? Probing Numeracy in Embeddings. - Sai Kumar Dwivedi, Vikram Gupta, Rahul Mitra, Shuaib Ahmed, Arjun Jain:
ProtoGAN: Towards Few Shot Learning for Action Recognition. - Ahmed Sabir, Francesc Moreno-Noguer, Lluís Padró:
Semantic Relatedness Based Re-ranker for Text Spotting. - Lei Shi, Cosmin Copot, Steve Vanlanduit:
What Are You Looking at? Detecting Human Intention in Gaze based Human-Robot Interaction. - Haotian Zhang, Long Mai, Ning Xu, Zhaowen Wang, John P. Collomosse, Hailin Jin:
An Internal Learning Approach to Video Inpainting. - Panos Lambrianides, Qi Gong, Daniele Venturi:
A new scalable algorithm for computational optimal control under uncertainty. - Xinliang Zhang, Mojtaba Vaezi:
Deep Learning based Precoding for the MIMO Gaussian Wiretap Channel. - Benedek Jozsef Tasi, Miklós Koller, György Cserey:
Design of the Anatomically Correct, Biomechatronic Hand. - Linda Senigagliesi, Marco Baldi, Ennio Gambi:
Statistical and Machine Learning-based Decision Techniques for Physical Layer Authentication. - Mingzhe Chen, Zhaohui Yang, Walid Saad, Changchuan Yin, H. Vincent Poor, Shuguang Cui:
A Joint Learning and Communications Framework for Federated Learning over Wireless Networks. - Xiaoyu Yu, Yuwei Wang, Jie Miao, Ephrem Wu, Heng Zhang, Yu Meng, Bo Zhang, Biao Min, Dewei Chen, Jianlin Gao:
A Data-Center FPGA Acceleration Platform for Convolutional Neural Networks. - Reza Monir Vaghefi, Ramesh Chembil Palat, Giovanni Marzin, Kiran Basavaraju, Yiping Feng, Mihai Banu:
Achieving Phase Coherency and Gain Stability in Active Antenna Arrays for Sub-6 GHz FDD and TDD FD-MIMO: Challenges and Solutions. - Yuanjing Shi, Zhaoxing Li:
Leyenda: An Adaptive, Hybrid Sorting Algorithm for Large Scale Data with Limited Memory. - Yi-Fan Chung, Solmaz S. Kia:
Distributed Leader Following of an Active Leader in Formation for Heterogeneous Multi-Agent Systems. - Omar Maraqa, Aditya S. Rajasekaran, Saad Al-Ahmadi, Halim Yanikomeroglu, Sadiq M. Sait:
A Survey of Rate-optimal Power Domain NOMA Schemes for Enabling Technologies of Future Wireless Networks. - Elizabeth Polgreen, Martin Brain, Martin Fränzle, Alessandro Abate:
Verifying Reachability Properties in Markov Chains via Incremental Induction. - Zihan Pan, Jibin Wu, Yansong Chua, Malu Zhang, Haizhou Li:
Neural Population Coding for Effective Temporal Classification. - Victor Amelkin, Rakesh Vohra:
Strategic Formation and Reliability of Supply Chain Networks. - Qinyi Luo, Jiaao He, Youwei Zhuo, Xuehai Qian:
Heterogeneity-Aware Asynchronous Decentralized Training. - Wei Jiang, Juan Camilo Gamboa Higuera, Baptiste Angles, Weiwei Sun, Mehrsan Javan, Kwang Moo Yi:
Optimizing Through Learned Errors for Accurate Sports Field Registration. - Bruno A. Krinski, Daniel Vitor Ruiz, Guilherme Z. Machado, Eduardo Todt:
Masking Salient Object Detection, a Mask Region-based Convolutional Neural Network Analysis for Segmentation of Salient Objects. - Yixin Nie, Songhe Wang, Mohit Bansal:
Revealing the Importance of Semantic Retrieval for Machine Reading at Scale. - Weiqiao Han, Russ Tedrake:
Local Trajectory Stabilization for Dexterous Manipulation via Piecewise Affine Approximations. - Fatima Hussain, Rasheed Hussain, Brett Noye, Salah Sharieh:
Enterprise API Security and GDPR Compliance: Design and Implementation Perspective. - Amirhossein Khalilian-Gourtani, Shervin Minaee, Yao Wang:
Masked-RPCA: Sparse and Low-rank Decomposition Under Overlaying Model and Application to Moving Object Detection. - Chandan K. A. Reddy, Ebrahim Beyrami, Jamie Pool, Ross Cutler, Sriram Srinivasan, Johannes Gehrke:
A scalable noisy speech dataset and online subjective test framework. - Martin K. Ross, Frank Broz, Lynne Baillie:
Towards an Adaptive Robot for Sports and Rehabilitation Coaching. - Mohammad Shoeybi, Mostofa Patwary, Raul Puri, Patrick LeGresley, Jared Casper, Bryan Catanzaro:
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism. - Agnieszka Tomczack, Nassir Navab, Shadi Albarqouni:
Learn to Estimate Labels Uncertainty for Quality Assurance. - Ming-Yuan Yu, Ram Vasudevan, Matthew Johnson-Roberson:
Risk Assessment and Planning with Bidirectional Reachability for Autonomous Driving. - Alonso Sepúlveda Castellanos, Luciane Quoos, Guilherme C. Tizziotti:
Construction of sequences with high Nonlinear Complexity from the Hermitian Function Field. - Haojie Zhu, Ziyou Song, Jun Hou, Heath F. Hofmann, Jing Sun:
Simultaneous Identification and Control Using Active Signal Injection for Series Hybrid Electric Vehicles based on Dynamic Programming. - Marco Cominelli, Paul Patras, Francesco Gringoli:
Dead on Arrival: An Empirical Study of The Bluetooth 5.1 Positioning System. - David G. Harris:
Deterministic algorithms for the Lovasz Local Lemma: simpler, more general, and more parallel. - F. Richard Yu:
From the Internet of Information to the Internet of Intelligence. - Hong-Ning Dai, Raymond Chi-Wing Wong, Hao Wang, Zibin Zheng, Athanasios V. Vasilakos:
Big Data Analytics for Large Scale Wireless Networks: Challenges and Opportunities. - Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, Anil K. Jain:
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review. - Beakal Gizachew Assefa, Öznur Özkasap:
HyMER: A Hybrid Machine Learning Framework for Energy Efficient Routing in SDN. - Hui Hu, Yijun Liu, Zhen Wang, Chao Lan:
A Distributed Fair Machine Learning Framework with Private Demographic Data Protection. - Wen Xiao, Giuseppe Carenini:
Extractive Summarization of Long Documents by Combining Global and Local Context. - Andreas Stolcke, Takuya Yoshioka:
DOVER: A Method for Combining Diarization Outputs. - Jin-Hee Cho, Dilli P. Sharma, Hooman Alavizadeh, Seunghyun Yoon, Noam Ben-Asher, Terrence J. Moore, Dong Seong Kim, Hyuk Lim, Frederica F. Nelson:
Toward Proactive, Adaptive Defense: A Survey on Moving Target Defense. - Rozhina Ghanavi, Maryam Sabbaghian, Halim Yanikomeroglu:
Q-Learning Based Aerial Base Station Placement for Fairness Enhancement in Mobile Networks. - Flor Álvarez, Lars Almon, Hauke Radtki, Matthias Hollick:
Bluemergency: Mediating Post-disaster Communication Systems using the Internet of Things and Bluetooth Mesh. - Federico Albanese, Sebastián Pinto, Viktoriya Semeshenko, Pablo Balenzuela:
What matters, context or sentiment?: Analysing the influence of news in U.S. elections using Natural Language Processing. - Dumitrel Loghin, Shaofeng Cai, Gang Chen, Tien Tuan Anh Dinh, Feiyi Fan, Qian Lin, Janice Ng, Beng Chin Ooi, Xutao Sun, Quang-Trung Ta, Wei Wang, Xiaokui Xiao, Yang Yang, Meihui Zhang, Zhonghua Zhang:
The Disruptions of 5G on Data-driven Technologies and Applications. - Umar Asif, Jianbin Tang, Stefan Harrer:
Ensemble Knowledge Distillation for Learning Improved and Efficient Networks. - Tilemachos Doukoglou, Velissarios G. Gezerlis, Konstantinos Trichias, Nikos Kostopoulos, Nikos Vrakas, Marios Bougioukos, Rodolphe Legouable:
Vertical Industries Requirements Analysis & Targeted KPIs for Advanced 5G Trials. - Naoyuki Kanda, Shota Horiguchi, Yusuke Fujita, Yawen Xue, Kenji Nagamatsu, Shinji Watanabe:
Simultaneous Speech Recognition and Speaker Diarization for Monaural Dialogue Recordings with Target-Speaker Acoustic Models. - Iason Sarantopoulos, Marios Kiatos, Zoe Doulgeri, Sotiris Malassiotis:
Split Deep Q-Learning for Robust Object Singulation. - Shashank Srikanth, Aanshul Sadaria, Himanshu Bhatia, Kanay Gupta, Pratik Jain, Ponnurangam Kumaraguru:
Don't cross that stop line: Characterizing Traffic Violations in Metropolitan Cities. - Nikolaos Zioulis, Antonis Karakottas, Dimitrios Zarpalas, Federico Alvarez, Petros Daras:
Spherical View Synthesis for Self-Supervised 360 Depth Estimation. - Wen-Loong Ma, Kaveh Akbari Hamed, Aaron D. Ames:
First Steps Towards Full Model Based Motion Planning and Control of Quadrupeds: A Hybrid Zero Dynamics Approach. - Edoardo Ballico, Matteo Bonini:
On the weights of dual codes arising from the GK curve. - Luke Merrick, Ankur Taly:
The Explanation Game: Explaining Machine Learning Models with Cooperative Game Theory. - Hadi Kazemi, Fariborz Taherkhani, Nasser M. Nasrabadi:
Identity-Aware Deep Face Hallucination via Adversarial Face Verification. - Lucy Lu Wang, Oyvind Tafjord, Sarthak Jain, Arman Cohan, Sam Skjonsberg, Carissa Schoenick, Nick Botner, Waleed Ammar:
Extracting evidence of supplement-drug interactions from literature. - Hongshan Li, Yu Guo, Zhi Wang, Shutao Xia, Wenwu Zhu:
AdaCompress: Adaptive Compression for Online Computer Vision Services. - Srikanth Malla, Chiho Choi:
NEMO: Future Object Localization Using Noisy Ego Priors. - Ahmad Khaliq, Shoaib Ehsan, Michael Milford, Klaus D. McDonald-Maier:
CAMAL: Context-Aware Multi-scale Attention framework for Lightweight Visual Place Recognition. - Mahdi S. Hosseini, Alfred Chen, Konstantinos N. Plataniotis:
On the Closed Form Expression of Elementary Symmetric Polynomials and the Inverse of Vandermonde Matrix. - Jiaoyang Huang, Horng-Tzer Yau:
Dynamics of Deep Neural Networks and Neural Tangent Hierarchy. - Brent D. Davis, Ethan Jackson, Daniel J. Lizotte:
Decision-Directed Data Decomposition. - Nikhil Krishnaswamy, James Pustejovsky:
Multimodal Continuation-style Architectures for Human-Robot Interaction. - Matthew Romano, Yuxin Chen, Owen Marshall, Ella M. Atkins:
Nailed It: Autonomous Roofing with a Nailgun-Equipped Octocopter. - Sibei Yang, Guanbin Li, Yizhou Yu:
Dynamic Graph Attention for Referring Expression Comprehension. - Wei Li, Shuheng Li, Shuming Ma, Yancheng He, Deli Chen, Xu Sun:
Recursive Graphical Neural Networks for Text Classification. - Minlong Peng, Qi Zhang, Xuanjing Huang:
Weighed Domain-Invariant Representation Learning for Cross-domain Sentiment Analysis. - Alessandro Visintin, Flavio Toffalini, Mauro Conti, Jianying Zhou:
SAFE^d: Self-Attestation For Networks of Heterogeneous Embedded Devices. - Hitoshi Nishimura, Kazuyuki Tasaka, Yasutomo Kawanishi, Hiroshi Murase:
Multiple Human Tracking using Multi-Cues including Primitive Action Features. - Raja S. Kushalnagar, Gary W. Behm, Kevin Wolfe, Peter Yeung, Becca Dingman, Shareef Ali, Abraham Glasser, Claire Ryan:
RTTD-ID: Tracked Captions with Multiple Speakers for Deaf Students. - Zhonghui You, Kun Yan, Jinmian Ye, Meng Ma, Ping Wang:
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks. - Jun Hu, Shudan Tian, Shangyou Zhang:
3D H2-nonconforming tetrahedral finite elements for the biharmonic equation. - Chen Chen, Jaewoo Lee:
Renyi Differentially Private ADMM for Non-Smooth Regularized Optimization. - Long Hoang Nguyen, Zhenhe Pan, Opeyemi Openiyi, Hashim Abu-gellban, Mahdi Moghadasi, Fang Jin:
Self-boosted Time-series Forecasting with Multi-task and Multi-view Learning. - Anupiya Nugaliyadde, Upeka Somaratne, Kok Wai Wong:
Predicting Electricity Consumption using Deep Recurrent Neural Networks. - Chaohui Yu, Jindong Wang, Yiqiang Chen, Meiyu Huang:
Transfer Learning with Dynamic Adversarial Adaptation Network. - Rubin Jose Peter, Chandra R. Murthy:
Learned-SBL: A Deep Learning Architecture for Sparse Signal Recovery. - Ryan Fish, Youzhi Liang, Kyle Saleeby, Jonathan Spirnak, Mingxiu Sun, Xiang Zhang:
Dynamic Characterization of Arrows through Stochastic Perturbation. - Xinyuan Lu, Yuhong Guo:
Learning to Generate Questions with Adaptive Copying Neural Networks. - Libby Hemphill, Angela M. Schöpke-Gonzalez:
Two Computational Models for Analyzing Political Attention in Social Media. - Yueru Chen, C.-C. Jay Kuo:
PixelHop: A Successive Subspace Learning (SSL) Method for Object Classification. - Hung Nghiep Tran, Atsuhiro Takasu:
Exploring Scholarly Data by Semantic Query on Knowledge Graph Embedding Space. - Ty Nguyen, Kartik Mohta, Camillo J. Taylor, Vijay Kumar:
Vision-based Multi-MAV Localization with Anonymous Relative Measurements Using Coupled Probabilistic Data Association Filter. - Yuan Wu, Yuhong Guo:
Dual Adversarial Co-Learning for Multi-Domain Text Classification. - Deying Kong, Yifei Chen, Haoyu Ma, Xiangyi Yan, Xiaohui Xie:
Adaptive Graphical Model Network for 2D Handpose Estimation. - Kangquan Li, Longjiang Qu, Chao Li, Hao Chen:
On a conjecture about a class of permutation quadrinomials. - Jiangsheng You:
Data Mapping for Restricted Boltzmann Machine. - Penghui Wei, Nan Xu, Wenji Mao:
Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity. - Ying Dai:
Sample-specific repetitive learning for photo aesthetic assessment and highlight region extraction. - Eric T. Chung, Sai-Mang Pun:
Computational multiscale methods for first-order wave equation using mixed CEM-GMsFEM. - Kaige Zhang, Yingtao Zhang, Heng-Da Cheng:
CrackGAN: A Labor-Light Crack Detection Approach Using Industrial Pavement Images Based on Generative Adversarial Learning. - Deric Pang, Lucy H. Lin, Noah A. Smith:
Improving Natural Language Inference with a Pretrained Parser. - Keum Gang Cha, Soo-Ryeon Lee, Jung-Woo Lee, Seung Bin Baik:
Performance of Recommender Systems: Based on Content Navigator and Collaborative Filtering. - Bingli Jiao, Dongsheng Zheng, Yuli Yang:
A Signal Separation Method for Exceeding the Channel Capacity of BPSK Input. - Zhizhong Wang, Lei Zhao, Lihong Qiu, Haibo Chen, Qihang Mo, Sihuan Lin, Wei Xing, Dongming Lu:
Diversified Arbitrary Style Transfer via Deep Feature Perturbation. - Haokui Zhang, Ying Li, Hao Chen, Chunhua Shen:
IR-NAS: Neural Architecture Search for Image Restoration. - Wonjin Yoon, Jinhyuk Lee, Donghyeon Kim, Minbyul Jeong, Jaewoo Kang:
Pre-trained Language Model for Biomedical Question Answering. - Falco Nogatz, Philipp Körner, Sebastian Krings:
Prolog Coding Guidelines: Status and Tool Support. 8-21 - Richard Taupe, Konstantin Schekotihin, Peter Schüller, Antonius Weinzierl, Gerhard Friedrich:
Exploiting Partial Knowledge in Declarative Domain-Specific Heuristics for ASP. 22-35 - João Barbosa, Mário Florido, Vítor Santos Costa:
A Three-Valued Semantics for Typed Logic Programming. 36-51 - Michael Morak:
Epistemic Logic Programs: A Different World View. 52-64 - Sarthak Ghosh, C. R. Ramakrishnan:
Value of Information in Probabilistic Logic Programs. 71-84 - Craig Olson, Yuliya Lierler:
Information Extraction Tool Text2ALM: From Narratives to Action Language System Descriptions. 87-100 - Adrien Husson, Jean Krivine:
A Tractable Logic for Molecular Biology. 101-113 - Shirin Salehi, Naghmeh S. Moayedian, Eduard Alarcón:
Diffusion-Based Molecular Communication Channel in Presence of a Probabilistic Absorber: Single Receptor Model and Congestion Analysis. - Bin Wang, Jun Shen, Shutao Zhang, Zhizheng Zhang:
On the Strong Equivalences of LPMLN Programs. 114-125 - Daniela Inclezan:
RestKB: A Library of Commonsense Knowledge about Dining at a Restaurant. 126-139 - David Spies, Jia-Huai You, Ryan Hayward:
Mutex Graphs and Multicliques: Reducing Grounding Size for Planning. 140-153 - Santiago Escobar, Julia Sapiña:
Most General Variant Unifiers. 154-167 - Mateusz Slazynski, Salvador Abreu, Grzegorz J. Nalepa:
Generating Local Search Neighborhood with Synthesized Logic Programs. 168-181 - Vincent Barichard, Igor Stéphan:
Quantified Constraint Handling Rules. 210-223 - Nader Asadi, Mehrdad Hosseinzadeh, Mahdi Eftekhari:
Towards Shape Biased Unsupervised Representation Learning for Domain Generalization. - K. Tuncay Tekle, Yanhong A. Liu:
Extended Magic for Negation: Efficient Demand-Driven Evaluation of Stratified Datalog with Precise Complexity Guarantees. 241-254 - Giacomo Da Col, Erich Teppan:
Google vs IBM: A Constraint Solving Challenge on the Job-Shop Scheduling Problem. 259-265 - Felicidad Aguado, Pedro Cabalar, Jorge Fandinno, Brais Muñiz, Gilberto Pérez, Francisco Suárez:
A Rule-Based System for Explainable Donor-Patient Matching in Liver Transplantation. 266-272 - Ariyam Das, Youfu Li, Jin Wang, Mingda Li, Carlo Zaniolo:
BigData Applications from Graph Analytics to Machine Learning by Aggregates in Recursion. 273-279 - Van Duc Nguyen, Tran Cao Son, Enrico Pontelli:
Natural Language Generation for Non-Expert Users. 280-294 - Tarek Khaled, Belaïd Benhamou:
An ASP-based Approach for Attractor Enumeration in Synchronous and Asynchronous Boolean Networks. 295-301 - Liu Liu, Miroslaw Truszczynski:
Encoding Selection for Solving Hamiltonian Cycle Problems with ASP. 302-308 - Nicos Angelopoulos, Jan Wielemaker:
Advances in Big Data Bio Analytics. 309-322 - Abeer Dyoub, Stefania Costantini, Francesca A. Lisi:
Towards Ethical Machines Via Logic Programming. 333-339 - Valentina Pitoni, Stefania Costantini:
A Temporal Module for Logical Frameworks. 340-346 - Yusuf Izmirlioglu:
Reasoning about Qualitative Direction and Distance between Extended Objects using Answer Set Programming. 371-378 - Kinjal Basu:
Conversational AI : Open Domain Question Answering and Commonsense Reasoning. 396-402 - Francesco Fabiano:
Design of a Solver for Multi-Agent Epistemic Planning. 403-412 - Francesco Pacenza:
Reasoning in Highly Reactive Environments. 420-426 - Mateusz Slazynski:
Research Report on Automatic Synthesis of Local Search Neighborhood Operators. 433-440 - Marco De Bortoli:
Distributed Answer Set Coloring: Stable Models Computation via Graph Coloring. 441-451 - Tobias Schoels, Luigi Palmieri, Kai Oliver Arras, Moritz Diehl:
An NMPC Approach using Convex Inner Approximations for Online Motion Planning with Guaranteed Collision Freedom. - Changqun Xia, Jia Li, Jinming Su, Yonghong Tian:
Exploring Reciprocal Attention for Salient Object Detection by Cooperative Learning. - Hans-Goerg Roos:
Layer-adapted meshes: Milestones in 50 years of history. - Xiaojie Wang, Stephan ten Brink:
SINR Analysis of Different Multicarrier Waveforms over Doubly Dispersive Channels. - Laura A. M. D'Angelo, Jonas Christ, Herbert De Gersem:
Quasi-3D Thermal Simulation of Quench Propagation in Superconducting Magnets. - Yang Liu, Zhaoyang Lu, Jing Li, Tao Yang, Chao Yao:
Global Temporal Representation based CNNs for Infrared Action Recognition. - Pedro Machado, Georgina Cosma, T. Martin McGinnity:
NatCSNN: A Convolutional Spiking Neural Network for recognition of objects extracted from natural images. - Martin Karlsson, Anders Robertsson, Rolf Johansson:
Segmentation of Robot Movements using Position and Contact Forces. - Sankar Narayan Das, Swaprava Nath, Indranil Saha:
SPARCAS: A Decentralized, Truthful Multi-Agent Collision-free Path Finding Mechanism. - Eren Erdal Aksoy, Saimir Baci, Selcuk Cavdar:
SalsaNet: Fast Road and Vehicle Segmentation in LiDAR Point Clouds for Autonomous Driving. - Khadijeh Nedaiasl, Raziyeh Dehbozorghi:
Galerkin Finite Element Method for Nonlinear Riemann-Liouville and Caputo Fractional Equations. - Yang Liu, Zhaoyang Lu, Jing Li, Chao Yao, Yanzi Deng:
Transferable Feature Representation for Visible-to-Infrared Cross-Dataset Human Action Recognition. - Luca Simione, Stefano Nolfi:
Long-Term Progress and Behavior Complexification in Competitive Co-Evolution. - Reinald Kim Amplayo, Seonjae Lim, Seung-won Hwang:
Text Length Adaptation in Sentiment Classification. - Alexander Mishchenko, Vladimir Manuilov, Chao You, Han Yang:
Hypergraph partitions. - Runtao Liu, Qian Yu, Stella X. Yu:
An Unpaired Sketch-to-Photo Translation Model. - Mark Collier, Joeran Beel:
Memory-Augmented Neural Networks for Machine Translation. - Thomas Jankuhn, Arnold Reusken:
Higher order Trace Finite Element Methods for the Surface Stokes Equation. - Renjie Gu, Shuo Yang, Fan Wu:
Distributed Machine Learning on Mobile Devices: A Survey. - Udaranga Wickramasinghe, Graham Knott, Pascal Fua:
Probabilistic Atlases to Enforce Topological Constraints. - Guozhen Hu, Baobin Li:
Coupling Chaotic System Based on Unit Transform and Its Applications in Image Encryption. - Juan Cruz Barsce, Jorge A. Palombarini, Ernesto C. Martínez:
A Hierarchical Two-tier Approach to Hyper-parameter Optimization in Reinforcement Learning. - Yvon Maday, Olga Mula:
An Adaptive Parareal Algorithm. - Shao-Qun Zhang, Zhi-Hua Zhou:
Bifurcation Spiking Neural Network. - Jianxiang Xi, Cheng Wang, Xiaojun Yang, Bailong Yang:
Limited-budget output consensus for descriptor multiagent systems with energy constraints. - Anselme Tueno, Florian Kerschbaum, Stefan Katzenbeisser, Yordan Boev, Mubashir Qureshi:
Secure Computation of the kth-Ranked Element in a Star Network. - Julia Eisentraut, Jan Kretínský, Alexej Rotar:
Stopping Criteria for Value and Strategy Iteration on Concurrent Stochastic Reachability Games. - Gaurav Verma, Balaji Vasan Srinivasan:
A Lexical, Syntactic, and Semantic Perspective for Understanding Style in Text. - Jiangtong Li, Hai Zhao, Zuchao Li, Wei Bi, Xiaojiang Liu:
Subword ELMo. - Jiaju Du, Fanchao Qi, Maosong Sun:
Using BERT for Word Sense Disambiguation. - Anselme Tueno, Yordan Boev, Florian Kerschbaum:
Non-Interactive Private Decision Tree Evaluation. - Shimon Bitton, Yuval Emek, Taisuke Izumi, Shay Kutten:
Message Reduction in the Local Model is a Free Lunch. - Avrim Blum, Thodoris Lykouris:
Advancing subgroup fairness via sleeping experts. - Marco Mobilio, Matteo Orrù, Oliviero Riganelli, Alessandro Tundo, Leonardo Mariani:
Anomaly Detection As-a-Service. - Laurenz Wiskott, Fabian Schönfeld:
Laplacian Matrix for Dimensionality Reduction and Clustering. - Matthias De Lange, Rahaf Aljundi, Marc Masana, Sarah Parisot, Xu Jia, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars:
Continual learning: A comparative study on how to defy forgetting in classification tasks. - Cesar A. Gomez, Xianbin Wang, Abdallah Shami:
Intelligent Active Queue Management Using Explicit Congestion Notification. - Jan Tönshoff, Martin Ritzert, Hinrikus Wolf, Martin Grohe:
RUN-CSP: Unsupervised Learning of Message Passing Networks for Binary Constraint Satisfaction Problems. - Arpit Bajpai:
Rural wireless deployments in India. - Wojciech Kozlowski, Stephanie Wehner:
Towards Large-Scale Quantum Networks. - Sebastian Gallenmüller, Johannes Naab, Iris Adam, Georg Carle:
5G QoS: Impact of Security Functions on Latency. - Valeria Pannunzio, Maaike Kleinsmann, Dirk Snelders:
Design research, eHealth, and the convergence revolution. - Vassilios Tsounis, Mitja Alge, Joonho Lee, Farbod Farshidian, Marco Hutter:
DeepGait: Planning and Control of Quadrupedal Gaits using Deep Reinforcement Learning. - Malte Ostendorff, Peter Bourgonje, Maria Berger, Julián Moreno Schneider, Georg Rehm, Bela Gipp:
Enriching BERT with Knowledge Graph Embeddings for Document Classification. - Nasser Nowdehi, Wissam Aoudi, Magnus Almgren, Tomas Olovsson:
CASAD: CAN-Aware Stealthy-Attack Detection for In-Vehicle Networks. - William Taylor:
Learnability Can Be Independent of ZFC Axioms: Explanations and Implications. - Pouya Badri, Mahdi Sojoodi:
LMI-based robust stability and stabilization analysis of fractional-order interval systems with time-varying delay. - Madina Abdykarim, Julien Berger, Denys Dutykh, Amen Agbossou:
An efficient numerical method for a long-term simulation of heat and mass transfer: the case of an insulated rammed earth wall. - Zhetong Dong, Hongwei Lin, Chi Zhou:
Persistence B-Spline Grids: Stable Vector Representation of Persistence Diagrams Based on Data Fitting. - Benjamin Cramer, David Stöckel, Markus Kreft, Johannes Schemmel, Karlheinz Meier, Viola Priesemann:
Control of criticality and computation in spiking neuromorphic networks with plasticity. - Édouard Bonnet, Nicolas Bousquet, Stéphan Thomassé, Rémi Watrigant:
When Maximum Stable Set can be solved in FPT time. - Ciriaco Andrea D'Angelo, Samuele Di Russo:
Testing for universality of Mendeley readership distributions. - Vangelis Th. Paschos:
A polynomial time approximation schema for maximum k-vertex cover in bipartite graphs. - Diego Marcos, Sylvain Lobry, Devis Tuia:
Semantically Interpretable Activation Maps: what-where-how explanations within CNNs. - (Withdrawn) Musical Instrument Classification via Low-Dimensional Feature Vectors.
- Giovanni Abramo, Ciriaco Andrea D'Angelo, Flavia Di Costa:
The collaboration behavior of top scientists. - Younes Abdi, Tapani Ristaniemi:
Optimization of the Belief-Propagation Algorithm for Distributed Detection by Linear Data-Fusion Techniques. - Bo Wan, Desen Zhou, Yongfei Liu, Rongjie Li, Xuming He:
Pose-aware Multi-level Feature Network for Human Object Interaction Detection. - Victor Allombert, Mathias Bourgoin, Julien Tesson:
Introduction to the Tezos Blockchain. - Vittorio Franzese, Francesco Topputo:
Line-of-Sight Deep-Space Autonomous Navigation. - Sambuddha Chakrabarti, Ross Baldick:
Look-Ahead SCOPF (LASCOPF) for Tracking Demand Variation via Auxiliary Proximal Message Passing (APMP) Algorithm. - Olivier Jeunen, Dmytro Mykhaylov, David Rohde, Flavian Vasile, Alexandre Gilotte, Martin Bompaire:
Learning from Bandit Feedback: An Overview of the State-of-the-art. - Lei Kang, Marçal Rusiñol, Alicia Fornés, Pau Riba, Mauricio Villegas:
Unsupervised Writer Adaptation for Synthetic-to-Real Handwritten Word Recognition. - Ankur Bapna, Naveen Arivazhagan, Orhan Firat:
Simple, Scalable Adaptation for Neural Machine Translation. - Yoonchang Sung, Deeksha Dixit, Pratap Tokekar:
Environmental Hotspot Identification in Limited Time with a UAV Equipped with a Downward-Facing Camera. - Matteo Dunnhofer, Niki Martinel, Gian Luca Foresti, Christian Micheloni:
Visual Tracking by means of Deep Reinforcement Learning and an Expert Demonstrator. - Fathma Siddique, Shadman Sakib, Md. Abu Bakr Siddique:
Recognition of Handwritten Digit using Convolutional Neural Network in Python with Tensorflow and Comparison of Performance for Various Hidden Layers. - William N. Havard, Jean-Pierre Chevrot, Laurent Besacier:
Word Recognition, Competition, and Activation in a Model of Visually Grounded Speech. - Ethan Manilow, Gordon Wichern, Prem Seetharaman, Jonathan Le Roux:
Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity. - Jingyang Zhang, Huanrui Yang, Fan Chen, Yitu Wang, Hai Li:
Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment. - Genta Indra Winata, Zhaojiang Lin, Jamin Shin, Zihan Liu, Pascale Fung:
Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition. - Yunzhi Lin, Chao Tang, Fu-Jen Chu, Patricio A. Vela:
Using Synthetic Data and Deep Networks to Recognize Primitive Shapes for Object Grasping. - Gregor Corbin:
Asymptotic preserving PN methods for haptotaxis equations. - Ashesh Rambachan, Jonathan Roth:
Bias In, Bias Out? Evaluating the Folk Wisdom. - Jonas Sauer, Dorothea Wagner, Tobias Zündorf:
Efficient Computation of Multi-Modal Public Transit Traffic Assignments using ULTRA. - Guan Wang, Charlie Xiaoqian Dang, Ziye Zhou:
Measure Contribution of Participants in Federated Learning. - Jinyuan Jia, Neil Zhenqiang Gong:
Defending against Machine Learning based Inference Attacks via Adversarial Examples: Opportunities and Challenges. - Peyman Hosseinzadeh Kassani, Sara Hosseinzadeh Kassani:
k-Relevance Vectors for Pattern Classification. - Jindong Wang, Yiqiang Chen, Wenjie Feng, Han Yu, Meiyu Huang, Qiang Yang:
Transfer Learning with Dynamic Distribution Adaptation. - Stefan Rothe, Nektarios Koukourakis, Hannes Radner, Andrew Lonnstrom, Eduard A. Jorswieck, Jürgen W. Czarske:
Physical Layer Security in Multimode Fiber Optical Networks. - Chengyao Li, Steven L. Waslander:
Visual Measurement Integrity Monitoring for UAV Localization. - Daniel Neider, Alexander Weinert, Martin Zimmermann:
Robust, Expressive, and Quantitative Linear Temporal Logics: Pick any Two for Free. 1-16 - Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause:
No-Regret Learning in Unknown Games with Correlated Payoffs. - Paritosh K. Pandya, Amol Wakankar:
Specification and Optimal Reactive Synthesis of Run-time Enforcement Shields. 91-106 - Samarth Shukla, Luc Van Gool, Radu Timofte:
Extremely Weak Supervised Image-to-Image Translation for Semantic Segmentation. - Kitti Gelle, Szabolcs Iván:
On the Order Type of Scattered Context-Free Orderings. 169-182 - Leo Liberti:
Distance Geometry and Data Science. - Francisco Lázaro, Giuliano Garrammone, Gianluigi Liva:
Parallel Concatenation of Non-Binary Linear Random Fountain Codes with Maximum Distance Separable Codes. - Sebastian Flügge, Sandra Zimmer, Uwe Petersohn:
Knowledge representation and diagnostic inference using Bayesian networks in the medical discourse. - Dries Van Daele, Nicholas Decleyre, Herman Dubois, Wannes Meert:
An Automated Engineering Assistant: Learning Parsers for Technical Drawings. - Lukas Diekmann, Laurence Tratt:
Default Disambiguation for Online Parsers. - Alexandru Baltag, Dazhu Li, Mina Young Pedersen:
On the Right Path: A Modal Logic for Supervised Learning. - Wen-Loong Ma, Aaron D. Ames:
From Bipedal Walking to Quadrupedal Locomotion: Full-Body Dynamics Decomposition for Rapid Gait Generation. - Kadierdan Kaheman, Eurika Kaiser, Benjamin Strom, J. Nathan Kutz, Steven L. Brunton:
Learning Discrepancy Models From Experimental Data. - Chuchu Han, Jiacheng Ye, Yunshan Zhong, Xin Tan, Chi Zhang, Changxin Gao, Nong Sang:
Re-ID Driven Localization Refinement for Person Search. - Genta Indra Winata, Andrea Madotto, Chien-Sheng Wu, Pascale Fung:
Code-Switched Language Models Using Neural Based Synthetic Data from Parallel Sentences. - Mohamed Naveed Gul Mohamed, Suman Chakravorty, Dylan A. Shell:
Decoupling stochastic optimal control problems for efficient solution: insights from experiments across a wide range of noise regimes. - Julia T. Camargo, Joshua A. White, Ronaldo I. Borja:
A macroelement stabilization for multiphase poromechanics. - Daniel M. Ziegler, Nisan Stiennon, Jeffrey Wu, Tom B. Brown, Alec Radford, Dario Amodei, Paul F. Christiano, Geoffrey Irving:
Fine-Tuning Language Models from Human Preferences. - James H. Adler, Scott P. MacLachlan, Niall Madden:
First-order system least squares finite-elements for singularly perturbed reaction-diffusion equations. - Mengyu Liu, Hujun Yin:
Feature Pyramid Encoding Network for Real-time Semantic Segmentation. - Albert Fannjiang, Zheqing Zhang:
Fixed Point Analysis of Douglas-Rachford Splitting for Ptychography and Phase Retrieval. - Girish Joshi, Girish Chowdhary:
Deep Model Reference Adaptive Control. - Oleh Lukianykhin, Tetiana Bogodorova:
ModelicaGym: Applying Reinforcement Learning to Modelica Models. - Heng Yang, Pasquale Antonante, Vasileios Tzoumas, Luca Carlone:
Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal Solvers to Global Outlier Rejection. - Tejo Chalasani, Aljosa Smolic:
Simultaneous Segmentation and Recognition: Towards more accurate Ego Gesture Recognition. - Thomas Hardjono, Alexander Lipton, Alex Pentland:
Towards a Public Key Management Framework for Virtual Assets and Virtual Asset Service Providers. - Renos Karamanis, Eleftherios Anastasiadis, Panagiotis Angeloudis, Marc Stettler:
Assignment and Pricing of Shared Rides in Ride-Sourcing using Combinatorial Double Auctions. - Pan Xu, Felicia Gao, Quanquan Gu:
Sample Efficient Policy Gradient Methods with Recursive Variance Reduction. - Alexandros Stergiou, Georgios Kapidis, Grigorios Kalliatakis, Christos Chrysoulas, Ronald Poppe, Remco C. Veltkamp:
Class Feature Pyramids for Video Explanation. - Arnaud Bellétoile:
Large e-retailer image dataset for visual search and product classification. - Lei You, Di Yuan:
A Note on Decoding Order in Optimizing Multi-Cell NOMA. - Talha Ahmed Khan, Ali Yazdan, Robert W. Heath Jr.:
Optimization of Power Transfer Efficiency and Energy Efficiency for Wireless-Powered Systems with Massive MIMO. - Lin Cheng, Bernardo A. Huberman:
Dynamic Bandwidth Allocation in Small-Cell Networks: An Economics Approach. - Thomas Kesselheim, Alexandros Psomas, Shai Vardi:
How to Hire Secretaries with Stochastic Departures. - Wang Jing, Matthew A. Kelly, David Reitter:
Do We Need Neural Models to Explain Human Judgments of Acceptability? - Oliver Rhodes, Luca Peres, Andrew G. D. Rowley, Andrew Gait, Luis A. Plana, Christian Y. A. Brenninkmeijer, Steve B. Furber:
Real-Time Cortical Simulation on Neuromorphic Hardware. - Bruno Bernardo, Raphaël Cauderlier, Zhenlei Hu, Basile Pesin, Julien Tesson:
Mi-Cho-Coq, a framework for certifying Tezos Smart Contracts. - Pengcheng Xu, Prudhvi Gurram, Gene T. Whipps, Rama Chellappa:
Wasserstein Distance Based Domain Adaptation for Object Detection. - Zheng Zhang, Ruiqing Yin, Jun Zhu, Pierre Zweigenbaum:
Cross-Lingual Contextual Word Embeddings Mapping With Multi-Sense Words In Mind. - Shah Nawaz, Muhammad Kamran Janjua, Ignazio Gallo, Arif Mahmood, Alessandro Calefati:
Deep Latent Space Learning for Cross-modal Mapping of Audio and Visual Signals. - Alan Aipe, Mukuntha Narayanan Sundararaman, Asif Ekbal:
Sentiment-Aware Recommendation System for Healthcare using Social Media. - Yangming Zhou, Jin-Kao Hao, Zhang-Hua Fu, Zhe Wang, Xiangjing Lai:
Variable Population Memetic Search: A Case Study on the Critical Node Problem. - Noémien Kocher, Christian Scuito, Lorenzo Tarantino, Alexandros Lazaridis, Andreas Fischer, Claudiu Musat:
Alleviating Sequence Information Loss with Data Overlapping and Prime Batch Sizes. - Ioannis Agadakos, Nikolaos Agadakos, Jason Polakis, Mohamed R. Amer:
Deep Complex Networks for Protocol-Agnostic Radio Frequency Device Fingerprinting in the Wild. - Michael A. Salim, Thomas D. Uram, J. Taylor Childers, Prasanna Balaprakash, Venkatram Vishwanath, Michael E. Papka:
Balsam: Automated Scheduling and Execution of Dynamic, Data-Intensive HPC Workflows. - Arshit Gupta, Peng Zhang, Garima Lalwani, Mona T. Diab:
CASA-NLU: Context-Aware Self-Attentive Natural Language Understanding for Task-Oriented Chatbots. - Giulia Fanti, Jiantao Jiao, Ashok Vardhan Makkuva, Sewoong Oh, Ranvir Rana, Pramod Viswanath:
Barracuda: The Power of 𝓁-polling in Proof-of-Stake Blockchains. - Yiming Wang, Tongfei Chen, Hainan Xu, Shuoyang Ding, Hang Lv, Yiwen Shao, Nanyun Peng, Lei Xie, Shinji Watanabe, Sanjeev Khudanpur:
Espresso: A Fast End-to-end Neural Speech Recognition Toolkit. - Eric Ficke, Kristin M. Schweitzer, Raymond M. Bateman, Shouhuai Xu:
Analyzing Root Causes of Intrusion Detection False-Negatives: Methodology and Case Study. - Sergey Loyka, Mahdi Khojastehnia:
Comments on "On Favorable Propagation in Massive MIMO Systems and Different Antenna Configurations" [1]. - Han Wang, Shangyu Xie, Yuan Hong:
VideoDP: A Universal Platform for Video Analytics with Differential Privacy. - Ian C. T. May, Ronald D. Haynes, Steven J. Ruuth:
Additive Schwarz solvers and preconditioners for the closest point method. - Macheng Shen, Jonathan P. How:
Robust Opponent Modeling via Adversarial Ensemble Reinforcement Learning in Asymmetric Imperfect-Information Games. - Nan Wang, Hongning Wang:
BPMR: Bayesian Probabilistic Multivariate Ranking. - James R. Bradley, Sitaram Devarakonda, Avon Davey, Dmitriy Korobskiy, Siyu Liu, Djamil Lakhdar-Hamina, Tandy J. Warnow, George Chacko:
Co-citations in context: disciplinary heterogeneity is relevant. - Philipe de Freitas Melo, Carolina Coimbra Vieira, Kiran Garimella, Pedro O. S. Vaz de Melo, Fabrício Benevenuto:
Can WhatsApp Counter Misinformation by Limiting Message Forwarding? - Phoebe Mulcaire, Jungo Kasai, Noah A. Smith:
Low-Resource Parsing with Crosslingual Contextualized Representations. - Giang Nguyen, Tae Joon Jun, Trung Tran, Daeyoung Kim:
ContCap: A comprehensive framework for continual image captioning. - Latif U. Khan, Ibrar Yaqoob, Nguyen Hoang Tran, S. M. Ahsan Kazmi, Nguyen Dang Tri, Choong Seon Hong:
Edge Computing Enabled Smart Cities: A Comprehensive Survey. - Yi Chen, Aimin Zhou, Swagatam Das:
A Compressed Coding Scheme for Evolutionary Algorithms in Mixed-Integer Programming: A Case Study on Multi-Objective Constrained Portfolio Optimization. - Sanghwan Bae, Taeuk Kim, Jihoon Kim, Sang-goo Lee:
Summary Level Training of Sentence Rewriting for Abstractive Summarization. - Yuwei Yang, Fanman Meng, Hongliang Li, King N. Ngan, Qingbo Wu:
A New Few-shot Segmentation Network Based on Class Representation. - Benoit Soubeyran:
Bibliothèque de la communauté assomptionniste : saisie informatique et classement Dewey. - Deepali Aneja, Daniel McDuff, Shital Shah:
A High-Fidelity Open Embodied Avatar with Lip Syncing and Expression Capabilities. - Nagender Aneja, Sandhya Aneja:
Transfer Learning using CNN for Handwritten Devanagari Character Recognition. - Yuchen Xiao, Joshua Hoffman, Tian Xia, Christopher Amato:
Multi-Robot Deep Reinforcement Learning with Macro-Actions. - Gabriel Ilharco, Yuan Zhang, Jason Baldridge:
Large-scale representation learning from visually grounded untranscribed speech. - Ian Stewart, Diyi Yang, Jacob Eisenstein:
Characterizing Collective Attention via Descriptor Context in Public Discussions of Crisis Events. - Artem Lutov, Mourad Khayati, Philippe Cudré-Mauroux:
DAOC: Stable Clustering of Large Networks. - Qinxiang Cao, Shengyi Wang, Aquinas Hobor, Andrew W. Appel:
Proof Pearl: Magic Wand as Frame. - Hugo Lavenant:
Unconditional convergence for discretizations of dynamical optimal transport. - Khaled S. Refaat, Kai Ding, Natalia Ponomareva, Stéphane Ross:
Agent Prioritization for Autonomous Navigation. - Mina Rajabi, Saeed Hossani, Fatemeh Dehghani:
A literature review on current approaches and applications of fuzzy expert systems. - Dibyayan Chakraborty, Florent Foucaud, Harmender Gahlawat, Subir Kumar Ghosh, Bodhayan Roy:
Hardness and approximation for the geodetic set problem in some graph classes. - Jakob Prange, Nathan Schneider, Omri Abend:
Made for Each Other: Broad-coverage Semantic Structures Meet Preposition Supersenses. - Cong Hu, Zhenhua Feng, Xiao-Jun Wu, Josef Kittler:
Dual Encoder-Decoder based Generative Adversarial Networks for Disentangled Facial Representation Learning. - Samuel M. Fischer:
Locally optimal routes for route choice sets. - Steven Jens Jorgensen, Mihir Vedantam, Ryan Gupta, Henry Cappel, Luis Sentis:
Finding Locomanipulation Plans Quickly in the Locomotion Constrained Manifold. - Tobias Klamt, Diego Rodriguez, Lorenzo Baccelliere, Xi Chen, Domenico Chiaradia, Torben Cichon, Massimiliano Gabardi, Paolo Guria, Karl Holmquist, Malgorzata Kamedula, Hakan Karaoguz, Navvab Kashiri, Arturo Laurenzi, Christian Lenz, Daniele Leonardis, Enrico Mingo Hoffman, Luca Muratore, Dmytro Pavlichenko, Francesco Porcini, Zeyu Ren, Fabian Schilling, Max Schwarz, Massimiliano Solazzi, Michael Felsberg, Antonio Frisoli, Michael Gustmann, Patric Jensfelt, Klas Nordberg, Jürgen Roßmann, Uwe Süss, Nikos G. Tsagarakis, Sven Behnke:
Flexible Disaster Response of Tomorrow - Final Presentation and Evaluation of the CENTAURO System. - Kenta Araake, Sho Sakaino, Toshiaki Tsuji:
Design of Resonance Ratio Control with Relative Position Information for Two-inertia System. - Raphael Mosaner, David Leopoldseder, Manuel Rigger, Roland Schatz, Hanspeter Mössenböck:
Supporting On-Stack Replacement in Unstructured Languages by Loop Reconstruction and Extraction. - Li Du, Xiao Ding, Ting Liu, Zhongyang Li:
Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder. - Benjamin Deneu, Maximilien Servajean, Christophe Botella, Alexis Joly:
Evaluation of Deep Species Distribution Models using Environment and Co-occurrences. - Mustafa Can Gursoy, H. Birkan Yilmaz, Ali Emre Pusane, Tuna Tugcu:
Simulation Study and Analysis of Diffusive Molecular Communications with an Apertured Plane. - Shen Gao, Xiuying Chen, Piji Li, Zhangming Chan, Dongyan Zhao, Rui Yan:
How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing. - Irawan Nurhas, Jan M. Pawlowski, Stefan Geisler:
Towards humane digitization: a wellbeing-driven process of personas creation. - Matteo Lisotto, Pasquale Coscia, Lamberto Ballan:
Social and Scene-Aware Trajectory Prediction in Crowded Spaces. - Eyal Rozenberg, Daniel Freedman, Alexander M. Bronstein:
Localization with Limited Annotation. - Gaurav Choudhary, Vishal Sharma:
A Survey on the Security and the Evolution of Osmotic and Catalytic Computing for 5G Networks. - Léo Hemamou, Ghazi Felhi, Jean-Claude Martin, Chloé Clavel:
Slices of Attention in Asynchronous Video Job Interviews. - Anjith George, Zohreh Mostaani, David Geissenbuhler, Olegs Nikisins, André Anjos, Sébastien Marcel:
Biometric Face Presentation Attack Detection with Multi-Channel Convolutional Neural Network. - Arindam Mitra, Pratyay Banerjee, Kuntal Kumar Pal, Swaroop Mishra, Chitta Baral:
Exploring ways to incorporate additional knowledge to improve Natural Language Commonsense Question Answering. - Frank Nielsen, Gaëtan Hadjeres:
A note on the quasiconvex Jensen divergences and the quasiconvex Bregman divergences derived thereof. - Mustafa Sercan Amac, Semih Yagcioglu, Aykut Erdem, Erkut Erdem:
Procedural Reasoning Networks for Understanding Multimodal Procedures. - Jie Zhao, Xin Jiang, Xiaoman Wang, Shengfan Wang, Yunhui Liu:
Assembly of randomly placed parts realized by using only one robot arm with a general parallel-jaw gripper. - Pratyay Banerjee:
ASU at TextGraphs 2019 Shared Task: Explanation ReGeneration using Language Models and Iterative Re-Ranking. - Michael Thomas Smith, Kathrin Grosse, Michael Backes, Mauricio A. Álvarez:
Adversarial Vulnerability Bounds for Gaussian Process Classification. - Dimitri Gominski, Martyna Poreba, Valérie Gouet-Brunet, Liming Chen:
Challenging deep image descriptors for retrieval in heterogeneous iconographic collections. - Hidenori Ogata:
A numerical method for Hadamard finite-part integrals with an integral power singularity at an endpoint. - Dagmar Kern, Daniel Hienert:
Understanding the Information needs of Social Scientists in Germany. - Edison Marrese-Taylor, Pablo Loyola, Yutaka Matsuo:
An Edit-centric Approach for Wikipedia Article Quality Assessment. - Alexander Gary Zimmerman:
Modeling and simulation of heat source trajectories through phase-change materials. - Daniele Di Tullio, Ankan Pal:
A New Method for Geometric Interpretation of Elliptic Curve Discrete Logarithm Problem. - Qian Liu, Bei Chen, Haoyan Liu, Lei Fang, Jian-Guang Lou, Bin Zhou, Dongmei Zhang:
A Split-and-Recombine Approach for Follow-up Query Analysis. - Alexandre Gondran, Vincent Duchamp, Laurent Moalic:
Lower Bound for (Sum) Coloring Problem. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Giovanni Felici:
Predicting long-term publication impact through a combination of early citations and journal impact factor. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Massimiliano Carloni:
The balance of knowledge flows. - Leonardo Colombo, Héctor García de Marina, María Barbero-Liñán, David Martín de Diego:
On the observability of relative positions in left-invariant multi-agent control systems and its application to formation control. - Hugo Gilbert:
Parametrized Complexity of Manipulating Sequential Allocation. - Martin Holler, Andreas Weinmann:
Non-smooth variational regularization for processing manifold-valued data. - Shipra Sharma, Balwinder Sodhi:
Extracting Conceptual Knowledge from Natural Language Text Using Maximum Likelihood Principle. - Mohammed Alasmar, George Parisis, Jon Crowcroft:
SCDP: Systematic Rateless Coding for Efficient Data Transport in Data Centres. - Yong Goo Kang, Kyung Ho Park, Huy Kang Kim:
Automobile Theft Detection by Clustering Owner Driver Data. - Davide Taibi, Florian Auer, Valentina Lenarduzzi, Michael Felderer:
From Monolithic Systems to Microservices: An Assessment Framework. - Nafise Sadat Moosavi, Prasetya Ajie Utama, Andreas Rücklé, Iryna Gurevych:
Improving Generalization by Incorporating Coverage in Natural Language Inference. - Max Bain, Arsha Nagrani, Daniel Schofield, Andrew Zisserman:
Count, Crop and Recognise: Fine-Grained Recognition in the Wild. - Aviral Goel, Jan Vitek:
On the Design, Implementation, and Use of Laziness in R. - Boris Chidlovskii:
Using Latent Codes for Class Imbalance Problem in Unsupervised Domain Adaptation. - Mohamed Kareem Abdel Rahman AlAshery:
Coupling Wind Farm with Nuclear Power Plant. - Newres Al Haider, Dilhan J. Thilakarathne, Joost Bosman:
Solving Financial Regulatory Compliance Using Software Contracts. - Roch Guérin:
When Two is Worse Than One. - Tzuf Paz-Argaman, Reut Tsarfaty:
RUN through the Streets: A New Dataset and Baseline Models for Realistic Urban Navigation. - Le Wang, Jianxiang Xi, Ming He, Guangbin Liu:
Robust time-varying formation design for multi-agent systems with disturbances: Extended-state-observer method. - Jaap Jumelet, Willem H. Zuidema, Dieuwke Hupkes:
Analysing Neural Language Models: Contextual Decomposition Reveals Default Reasoning in Number and Gender Assignment. - Hope Mogale, Michael Esiefarienrhe, Naison Gasela, Lucia Letlonkane:
Accelerating Green Computing with Hybrid Asymmetric Multicore Architectures and Safe Parallelism. - Jacob Deasy, Ari Ercole, Pietro Liò:
Impact of novel aggregation methods for flexible, time-sensitive EHR prediction without variable selection or cleaning. - Vasileios Iosifidis, Eirini Ntoutsi:
AdaFair: Cumulative Fairness Adaptive Boosting. - Hui Zeng, Lida Li, Zisheng Cao, Lei Zhang:
Grid Anchor based Image Cropping: A New Benchmark and An Efficient Model. - Andres A. Angulo, Juan Antonio Vega Fernández, Lina Maria Aguilar-Lobo, Shailendra Natraj, Gilberto Ochoa-Ruiz:
Road Damage Detection Acquisition System based on Deep Neural Networks for Physical Asset Management. - Mark Collier, Hector Urdiales:
Scalable Deep Unsupervised Clustering with Concrete GMVAEs. - Cristina Cornelio, Michele Donini, Andrea Loreggia, Maria Silvia Pini, Francesca Rossi:
Voting with Random Classifiers (VORACE). - Chunmin Mi, Runjie Xu, Ching-Torng Lin:
Real-time Recognition of Smartphone User Behavior Based on Prophet Algorithms. - Joohyung Lee, Man Luo:
Strong Equivalence for LPMLN Programs. 196-209 - Murthy Durbhakula:
Branch prediction related Optimizations for Multithreaded Processors. - Nora Hollenstein, Antonio de la Torre, Nicolas Langer, Ce Zhang:
CogniVal: A Framework for Cognitive Word Embedding Evaluation. - Ruben Becker, Yuval Emek, Christoph Lenzen:
Low Diameter Graph Decompositions by Approximate Distance Computation. - Luis J. Manso, Ronit R. Jorvekar, Diego R. Faria, Pablo Bustos, Pilar Bachiller:
Graph Neural Networks for Human-aware Social Navigation. - Ziqing Zhu, Tao Zhou, Chenghao Jia, Jiawei Liu, Jiuxin Cao:
Community Detection Across Multiple Social Networks based on Overlapping Users. - Yiheng Huang, Jinchuan Tian, Lei Han, Guangsen Wang, Xingcheng Song, Dan Su, Dong Yu:
A Random Gossip BMUF Process for Neural Language Modeling. - Fatma Ezzahra Salem, Tijani Chahed, Eitan Altman, Azeddine Gati, Zwi Altman:
Optimal Policies of Advanced Sleep Modes for Energy-Efficient 5G networks. - Xiao-Long Ren, Nino Antulov-Fantulin:
Ensemble approach for generalized network dismantling. - Farhad Shakerin:
Induction of Non-monotonic Logic Programs To Explain Statistical Learning Models. 379-388 - Kuruparan Shanmugalingam, Nisal Chandrasekara, Calvin Hindle, Gihan Fernando, Chanaka Gunawardhana:
Corporate IT-support Help-Desk Process Hybrid-Automation Solution with Machine Learning Approach. - Jeremy Lacomis, Pengcheng Yin, Edward J. Schwartz, Miltiadis Allamanis, Claire Le Goues, Graham Neubig, Bogdan Vasilescu:
DIRE: A Neural Approach to Decompiled Identifier Naming. - Juri Opitz:
Argumentative Relation Classification as Plausibility Ranking. - Aishan Liu, Xianglong Liu, Chongzhi Zhang, Hang Yu, Qiang Liu, Junfeng He:
Training Robust Deep Neural Networks via Adversarial Noise Propagation. - Eliya Nachmani, Lior Wolf:
Hyper-Graph-Network Decoders for Block Codes. - Philip S. Chodrow:
Moments of Uniform Random Multigraphs with Fixed Degree Sequences. - Pian Yu, Dimos V. Dimarogonas:
Approximately symbolic models for a class of continuous-time nonlinear systems. - Eryk Lipka:
A note on minimal art galleries. - Steve Tonneau, Daeun Song, Pierre Fernbach, Nicolas Mansard, Michel Taïx, Andrea Del Prete:
SL1M: Sparse L1-norm Minimization for contact planning on uneven terrain. - Brian A. Powell:
Detecting malicious logins as graph anomalies. - Jamie Watson, Michael Firman, Gabriel J. Brostow, Daniyar Turmukhambetov:
Self-Supervised Monocular Depth Hints. - Sarat Chandra Varanasi:
Imperative Program Synthesis from Answer Set Programs. 413-417 - Titus Leistner, Hendrik Schilling, Radek Mackowiak, Stefan Gumhold, Carsten Rother:
Learning to Think Outside the Box: Wide-Baseline Light Field Depth Estimation with EPI-Shift. - Lun Huang, Wenmin Wang, Yaxian Xia, Jie Chen:
Adaptively Aligned Image Captioning via Adaptive Attention Time. - Ziyao Zhang, Liang Ma, Konstantinos Poularakis, Kin K. Leung, Jeremy Tucker, Ananthram Swami:
MACS: Deep Reinforcement Learning based SDN Controller Synchronization Policy Design. - Joseph Allen, Ahmed Moussa, Xudong Liu:
Human-In-The-Loop Learning of Qualitative Preference Models. - Adrien Bennetot, Jean-Luc Laurent, Raja Chatila, Natalia Díaz Rodríguez:
Highlighting Bias with Explainable Neural-Symbolic Visual Reasoning. - Alessia Battisti, Sarah Ebling:
A Corpus for Automatic Readability Assessment and Text Simplification of German. - José Manuél Gómez-Pérez, Raúl Ortega:
Look, Read and Enrich. Learning from Scientific Figures and their Captions. - Ahmed Moussa, Xudong Liu:
Learning Optimal and Near-Optimal Lexicographic Preference Lists. - Giro Candelario, Alicia Cordero, Juan R. Torregrosa:
A fractional Traub method with (2α+1)th-order of convergence and its stability. - André Rodrigues, Hugo Nicolau, Kyle Montague, João Guerreiro, Tiago João Guerreiro:
Open Challenges of Blind People using Smartphones. - Rui Chen, Mansur Arief, Weiyang Zhang, Ding Zhao:
How to Evaluate Proving Grounds for Self-Driving? A Quantitative Approach. - Hoang-Dung Tran, Luan Viet Nguyen, Patrick Musau, Weiming Xiang, Taylor T. Johnson:
Real-Time Verification for Distributed Cyber-Physical Systems. - Alexandre Graell i Amat, Gianluigi Liva, Fabian Steiner:
Coding for Optical Communications - Can We Approach the Shannon Limit With Low Complexity? - Sheng Gui, Minxin Chen, Benzhuo Lu:
Sparse Representation of Gaussian Molecular Surface. - Peter Werner, Matthias Hofer, Carmelo Sferrazza, Raffaello D'Andrea:
Vision-Based Proprioceptive Sensing for Soft Inflatable Actuators. - Jesse Chan:
Entropy stable reduced order modeling of nonlinear conservation laws. - Tianwei Shen, Lei Zhou, Zixin Luo, Yao Yao, Shiwei Li, Jiahui Zhang, Tian Fang, Long Quan:
Self-Supervised Learning of Depth and Motion Under Photometric Inconsistency. - Jacob Kahn, Ann Lee, Awni Y. Hannun:
Self-Training for End-to-End Speech Recognition. - Richard Matovu, Isaac Griswold-Steiner, Abdul Serwadda:
Kinetic Song Comprehension: Deciphering Personal Listening Habits via Phone Vibrations. - Herbert Gish, Jan Silovský, Man-Ling Sung, Man-Hung Siu, William Hartmann, Zhuolin Jiang:
Towards a New Understanding of the Training of Neural Networks with Mislabeled Training Data. - Agnieszka Slowik, Chaitanya Mangla, Mateja Jamnik, Sean B. Holden, Lawrence C. Paulson:
Bayesian Optimisation with Gaussian Processes for Premise Selection. - Eyyüb Sari, Mouloud Belbahri, Vahid Partovi Nia:
A Study on Binary Neural Networks Initialization. - Siyuan Shan, Junier Oliva:
Meta-Neighborhoods. - Elliot Creager, David Madras, Toniann Pitassi, Richard S. Zemel:
Causal Modeling for Fairness in Dynamical Systems. - Hao Ren, Sai Krishnan Chandrasekar, Anitha Murugesan:
Using Quantifier Elimination to Enhance the Safety Assurance of Deep Neural Networks. - Deepak Muralidharan, Justine T. Kao, Xiao Yang, Lin Li, Lavanya Viswanathan, Mubarak Seyed Ibrahim, Kevin Luikens, Stephen Pulman, Ashish Garg, Atish Kothari, Jason D. Williams:
Leveraging User Engagement Signals For Entity Labeling in a Virtual Assistant. - Romit Maulik, Vishwas Rao, Sandeep Madireddy, Bethany Lusch, Prasanna Balaprakash:
Using recurrent neural networks for nonlinear component computation in advection-dominated reduced-order models. - Abhishek Singh, Praneeth Vepakomma, Otkrist Gupta, Ramesh Raskar:
Detailed comparison of communication efficiency of split learning and federated learning. - Yoan Russac, Claire Vernade, Olivier Cappé:
Weighted Linear Bandits for Non-Stationary Environments. - Michael Thomas Smith, Mauricio A. Álvarez, Neil D. Lawrence:
Differentially Private Regression and Classification with Sparse Gaussian Processes. - Zhuoxun He, Lingxi Xie, Xin Chen, Ya Zhang, Yanfeng Wang, Qi Tian:
Data Augmentation Revisited: Rethinking the Distribution Gap between Clean and Augmented Data. - Marc Wenninger, Sebastian P. Bayerl, Jochen Schmidt, Korbinian Riedhammer:
Timage - A Robust Time Series Classification Pipeline. - Dalel Jabri, Kevin Guelton, Noureddine Manamanni, Mohamed Naceur Abdelkrim:
Synthèse non quadratique H∞ de contrôleurs décentralisés pour un ensemble de descripteurs flous T-S interconnectés. - Denis Kleyko, Mansour Kheffache, Edward Paxon Frady, Urban Wiklund, Evgeny Osipov:
Density Encoding Enables Resource-Efficient Randomly Connected Neural Networks. - Alexander Schulz, Fabian Hinder, Barbara Hammer:
DeepView: Visualizing the behavior of deep neural networks in a part of the data space. - Moshe Hanukoglu, Nissan Goldberg, Aviv Rovshitz, Amos Azaria:
Learning to Conceal: A Deep Learning Based Method for Preserving Privacy and Avoiding Prejudice. - Aniruddh Raghu, Maithra Raghu, Samy Bengio, Oriol Vinyals:
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML. - Peixin Chang, Shuijing Liu, Haonan Chen, Katherine Rose Driggs-Campbell:
Robot Sound Interpretation: Combining Sight and Sound in Learning-Based Control. - Qi Lyu, Xiao Fu:
Neural Network-Assisted Nonlinear Multiview Component Analysis: Identifiability and Algorithm. - Hongxiang Xie, Javier Rodríguez-Fernández, Nuria González-Prelcic:
Dictionary Learning for Channel Estimation in Hybrid Frequency-Selective mmWave MIMO Systems. - Sitao Luan, Xiao-Wen Chang, Doina Precup:
Revisit Policy Optimization in Matrix Form. - Vardaan Pahuja, Jie Fu, Christopher J. Pal:
Learning Sparse Mixture of Experts for Visual Question Answering. - Zunaira Babar, Zeynep B. Kaykac Egilmez, Luping Xiang, Daryus Chandra, Robert G. Maunder, Soon Xin Ng, Lajos Hanzo:
Polar Codes and Their Quantum-Domain Counterparts. - Onel L. Alcaraz López, Hirley Alves, Richard Demo Souza, Samuel Montejo Sánchez, Evelio M. García Fernández:
Rate Control for Wireless-Powered Communication Network with Reliability and Delay Constraints. - Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson:
A Human-Centered Data-Driven Planner-Actor-Critic Architecture via Logic Programming. 182-195 - Fabio Tardivo:
Experimenting with Constraint Programming on GPU. 427-432 - Andreas M. Tillmann, Leif Kobbelt:
Structured Discrete Shape Approximation: Theoretical Complexity and Practical Algorithm. - Babak Hosseini, Barbara Hammer:
Interpretable Discriminative Dimensionality Reduction and Feature Selection on the Manifold. - Yi-An Lai, Arshit Gupta, Yi Zhang:
Goal-Embedded Dual Hierarchical Model for Task-Oriented Dialogue Generation. - Harsha Nori, Samuel Jenkins, Paul Koch, Rich Caruana:
InterpretML: A Unified Framework for Machine Learning Interpretability. - Jeffrey Kane Johnson:
The Colliding Reciprocal Dance Problem: A Mitigation Strategy with Application to Automotive Active Safety Systems. - Philipe A. Dias, Damiano Malafronte, Henry Medeiros, Francesca Odone:
Gaze Estimation for Assisted Living Environments. - Marcos Eduardo Valle, Rodolfo Anibal Lobo:
An Introduction to Quaternion-Valued Recurrent Projection Neural Networks. - James Zachary Hare, Cesar A. Uribe, Lance M. Kaplan, Ali Jadbabaie:
Non-Bayesian Social Learning with Uncertain Models. - Christof Schmidhuber:
Logical Quantum Field Theory. - Yu-Chi Lin, Ludovic Righetti, Dmitry Berenson:
Robust Humanoid Contact Planning with Learned Zero- and One-Step Capturability Prediction. - Ante Qu, Doug L. James:
On the Impact of Ground Sound. - Arya D. McCarthy, Xian Li, Jiatao Gu, Ning Dong:
Improved Variational Neural Machine Translation by Promoting Mutual Information. - Yang Lv, Robert P. Bloom, Jianping Wang:
Experimental Demonstration of Probabilistic Spin Logic by Magnetic Tunnel Junctions. - Wei-Hung Weng:
Machine Learning for Clinical Predictive Analytics. - Wei-Hung Weng, Peter Szolovits:
Representation Learning for Electronic Health Records. - Eric Wallace, Jens Tuyls, Junlin Wang, Sanjay Subramanian, Matt Gardner, Sameer Singh:
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models. - Devanshu Arya, Stevan Rudinac, Marcel Worring:
HyperLearn: A Distributed Approach for Representation Learning in Datasets With Many Modalities. - Tushar Khot, Ashish Sabharwal, Peter Clark:
What's Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering. - Brigit Schroeder, Subarna Tripathi, Hanlin Tang:
Triplet-Aware Scene Graph Embeddings. - Jihyeun Yoon, Kyungyul Kim, Jongseong Jang:
Propagated Perturbation of Adversarial Attack for well-known CNNs: Empirical Study and its Explanation. - Wasi Uddin Ahmad, Zhisong Zhang, Xuezhe Ma, Kai-Wei Chang, Nanyun Peng:
Cross-lingual Dependency Parsing with Unlabeled Auxiliary Languages. - Zhixiong Hu, Yijun Xu, Mert Korkali, Xiao Chen, Lamine Mili, Charles H. Tong:
Uncertainty Quantification in Stochastic Economic Dispatch using Gaussian Process Emulation. - Hassan Kané, Yusuf Kocyigit, Pelkins Ajanoh, Ali Abdalla, Mohamed Coulibali:
Towards Neural Language Evaluators. - Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Fine-grained Action Segmentation using the Semi-Supervised Action GAN. - Stephen Mayhew, Snigdha Chaturvedi, Chen-Tse Tsai, Dan Roth:
Named Entity Recognition with Partially Annotated Training Data. - Chengxi Li, Yue Meng, Stanley H. Chan, Yi-Ting Chen:
Learning 3D-aware Egocentric Spatial-Temporal Interaction via Graph Convolutional Networks. - Mattie Tesfaldet, Xavier Snelgrove, David Vázquez:
Fourier-CPPNs for Image Synthesis. - Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Forecasting Future Action Sequences with Neural Memory Networks. - Adam Fisch, Jiang Guo, Regina Barzilay:
Working Hard or Hardly Working: Challenges of Integrating Typology into Neural Dependency Parsers. - W. Cannon Lewis II, Mark Moll, Lydia E. Kavraki:
How Much Do Unstated Problem Constraints Limit Deep Robotic Reinforcement Learning? - Harshala Gammulle, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Coupled Generative Adversarial Network for Continuous Fine-grained Action Segmentation. - Asma Ghandeharioun, Brian Eoff, Brendan Jou, Rosalind W. Picard:
Characterizing Sources of Uncertainty to Proxy Calibration and Disambiguate Annotator and Data Bias. - Huan Lei, Naveed Akhtar, Ajmal Mian:
Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds. - Gang Chen, Ying Cui, Hei Victor Cheng, Feng Yang, Lianghui Ding:
Analysis and Optimization of Successful Symbol Transmission Rate for Grant-free Massive Access with Massive MIMO. - Monireh Dabaghchian, Amir Alipour-Fanid, Kai Zeng:
Intelligent Policing Strategy for Traffic Violation Prevention. - Haiqin Yang:
BERT Meets Chinese Word Segmentation. - Christopher Jelesnianski, Jinwoo Yom, Changwoo Min, Yeongjin Jang:
Making Code Re-randomization Practical with MARDU. - David Watkins-Valls, Jingxi Xu, Nicholas R. Waytowich, Peter K. Allen:
Learning Your Way Without Map or Compass: Panoramic Target Driven Visual Navigation. - Namita Anil Kumar, Woolim Hong, Pilwon Hur:
Impedance Control of a Transfemoral Prosthesis using Continuously Varying Ankle Impedances and Multiple Equilibria. - Tianhong Li, Lijie Fan, Mingmin Zhao, Yingcheng Liu, Dina Katabi:
Making the Invisible Visible: Action Recognition Through Walls and Occlusions. - Viktor Reshniak, Jeremy Trageser, Clayton G. Webster:
A nonlocal feature-driven exemplar-based approach for image inpainting. - Hao Chen, Youfu Li:
CNN-based RGB-D Salient Object Detection: Learn, Select and Fuse. - Lantao Yu, Tianhe Yu, Chelsea Finn, Stefano Ermon:
Meta-Inverse Reinforcement Learning with Probabilistic Context Variables. - Che Zhang, Shiwei Zhang, Yi Wang, Weichao Li, Bo Jin, Ricky K. P. Mok, Qing Li, Hong Xu:
Scalable Traffic Engineering for Higher Throughput in Heavily-loaded Software Defined Networks. - Yuting Wu, Xiao Liu, Yansong Feng, Zheng Wang, Dongyan Zhao:
Jointly Learning Entity and Relation Representations for Entity Alignment. - Filip Maric, Matthew Giamou, Soroush Khoubyarian, Ivan Petrovic, Jonathan Kelly:
Inverse Kinematics for Serial Kinematic Chains via Sum of Squares Optimization. - Asankhaya Sharma:
Automated Verification of Integer Overflow. - Rui Chen, Haizhou Ai, Chong Shang, Long Chen, Zijie Zhuang:
Learning Lightweight Pedestrian Detector with Hierarchical Knowledge Distillation. - Shouqian Shi, Chen Qian:
Modeling and Designing Routing Protocols in Quantum Networks. - Yucen Luo, Jun Zhu, Tomas Pfister:
A Simple yet Effective Baseline for Robust Deep Learning with Noisy Labels. - Harsh Purohit, Ryo Tanabe, Kenji Ichige, Takashi Endo, Yuki Nikaido, Kaori Suefusa, Yohei Kawaguchi:
MIMII Dataset: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection. - Patrick Cheong-Iao Pang, Robert P. Biuk-Aghai, Simon Fong, Yain-Whar Si:
An Experimental Comparison of Map-like Visualisations and Treemaps. - Mark Burgess:
Locality, Statefulness, and Causality in Distributed Information Systems (Concerning the Scale Dependence Of System Promises). - Zhe Zeng, Fanqi Yan, Paolo Morettin, Antonio Vergari, Guy Van den Broeck:
Hybrid Probabilistic Inference with Logical Constraints: Tractability and Message Passing. - Jürgen Frikel, Markus Haltmeier:
Sparse regularization of inverse problems by biorthogonal frame thresholding. - Alianna J. Maren:
2-D Cluster Variation Method Free Energy: Fundamentals and Pragmatics. - Rafael Poyiadzi, Kacper Sokol, Raúl Santos-Rodriguez, Tijl De Bie, Peter A. Flach:
FACE: Feasible and Actionable Counterfactual Explanations. - Yusuke Kobayashi, Yoshio Okamoto, Yota Otachi, Yushi Uno:
Linear-Time Recognition of Double-Threshold Graphs. - Pegdwendé N. Sawadogo, Étienne Scholly, Cécile Favre, Éric Ferey, Sabine Loudcher, Jérôme Darmont:
Metadata Systems for Data Lakes: Models and Features. - Özge Drama, Alexander Badri-Spröwitz:
Trunk Pitch Oscillations to Improve Energetics in Bipedal Running Birds and Robots. - He Guo, Xiameng Qin, Jiaming Liu, Junyu Han, Jingtuo Liu, Errui Ding:
EATEN: Entity-aware Attention for Single Shot Visual Text Extraction. - Ameya Prabhu, Charles Dognin, Maneesh Singh:
Sampling Bias in Deep Active Classification: An Empirical Study. - Yu-Lin Huang, Gildas Morvan, Frédéric Pichon, David Mercier:
SPSC: a new execution policy for exploring discrete-time stochastic simulations. - Ryoma Sin'ya:
Simple proof of Parikh's theorem a la Takahashi. - Nick Malleson, Kevin Minors, Le-Minh Kieu, Jonathan A. Ward, Andrew A. West, Alison J. Heppenstall:
Simulating Crowds in Real Time with Agent-Based Modelling and a Particle Filter. - Maximilian von Tschirschnitz, Marcel Wagner, Marc-Oliver Pahl, Georg Carle:
Clock Error Analysis of Common Time of Flight based Positioning Methods. - Younes Abdi, Tapani Ristaniemi:
The Max-Product Algorithm Viewed as Linear Data-Fusion: A Distributed Detection Scenario. - Maximilian von Tschirschnitz, Marcel Wagner, Marc-Oliver Pahl, Georg Carle:
A Generalized TDoA/ToA Model for ToF Positioning. - Fan Zhang, Yanqin Chen, Zhihang Li, Zhibin Hong, Jingtuo Liu, Feifei Ma, Junyu Han, Errui Ding:
ACFNet: Attentional Class Feature Network for Semantic Segmentation. - Sinem Aslan, Marcello Pelillo:
Weakly Supervised Semantic Segmentation Using Constrained Dominant Sets. - Bogdan Trasnea, Claudiu Pozna, Sorin Mihai Grigorescu:
AIBA: An AI Model for Behavior Arbitration in Autonomous Driving. - Konstantin Schall, Kai Uwe Barthel, Nico Hezel, Klaus Jung:
Deep Aggregation of Regional Convolutional Activations for Content Based Image Retrieval. - Will Price, Dima Damen:
Retro-Actions: Learning 'Close' by Time-Reversing 'Open' Videos. - Konstantin Schall, Kai Uwe Barthel, Nico Hezel, Klaus Jung:
Deep Metric Learning using Similarities from Nonlinear Rank Approximations. - Chris Dyer, Gábor Melis, Phil Blunsom:
A Critical Analysis of Biased Parsers in Unsupervised Parsing. - Efstratios Geronikolakis, Paul Zikas, Steve Kateros, Nick Lydatakis, Stelios Georgiou, Mike Kentros, George Papagiannakis:
A True AR Authoring Tool for Interactive Virtual Museums. - Erfan Miahi, Seyed Abolghasem Mirroshandel, Alexis Nasr:
Genetic Neural Architecture Search for automatic assessment of human sperm images. - Hamel Husain, Ho-Hsiang Wu, Tiferet Gazit, Miltiadis Allamanis, Marc Brockschmidt:
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search. - Hojjat Rakhshani, Lhassane Idoumghar, Julien Lepagnot, Mathieu Brévilliers:
From feature selection to continues optimization. - Sanjib Sadhu, Xiaozhou He, Sasanka Roy, Subhas C. Nandy, Suchismita Roy:
Corrigendum to: "Linear time algorithm to cover and hit a set of line segments optimally by two axis-parallel squares", Theoretical Computer Science 769 (2019) 63-74. - Kjetil O. Lye, Siddhartha Mishra, Roberto Molinaro:
A Multi-level procedure for enhancing accuracy of machine learning algorithms. - Valentina Pitoni:
Memory Management in Resource-Bounded Agents. 452-460 - Niklas Ueter, Georg von der Brüggen, Jian-Jia Chen, Tulika Mitra, Vanchinathan Venkataramani:
Simultaneous Progressing Switching Protocols for Timing Predictable Real-Time Network-on-Chips. - Cédric L. R. Buron, Zahia Guessoum, Sylvain Ductor:
MCTS-based Automated Negotiation Agent. - Suryanarayana Murthy Durbhakula:
Cache Optimization for Sharing Intensive Workloads on Multi-socket Multi-core servers. - Jörg Fehr, Christian Himpe, Stephan Rave, Jens Saak:
Sustainable Research Software Hand-Over. - Xiaoyu Li, Bo Zhang, Jing Liao, Pedro V. Sander:
Document Rectification and Illumination Correction using a Patch-based CNN. - Shengshan Hu, Chengjun Cai, Qian Wang, Cong Wang, Minghui Li, Zhibo Wang, Dengpan Ye:
Augmenting Encrypted Search: A Decentralized Service Realization with Enforced Execution. - Thomas Winters:
Generating Philosophical Statements using Interpolated Markov Models and Dynamic Templates. - Yaoyao Zhong, Weihong Deng:
Adversarial Learning with Margin-based Triplet Embedding Regularization. - Pedro Uria Rodriguez, Amir Jafari, Christopher M. Ormerod:
Language models and Automated Essay Scoring. - Ruimin Zhu, Thanapon Noraset, Alisa Liu, Wenxin Jiang, Doug Downey:
Multi-sense Definition Modeling using Word Sense Decompositions. - Tian Lan, Xianling Mao, Heyan Huang:
Generative Dialog Policy for Task-oriented Dialog Systems. - Iftitahu Ni'mah, Vlado Menkovski, Mykola Pechenizkiy:
BSDAR: Beam Search Decoding with Attention Reward in Neural Keyphrase Generation. - Luigi De Simone, Giovanni Mazzeo:
Isolating Real-Time Safety-Critical Embedded Systems via SGX-based Lightweight Virtualization. - Hesham Al-Bataineh, Wael Farhan, Ahmad Mustafa, Haitham Seelawi, Hussein T. Al-Natsheh:
Deep Contextualized Pairwise Semantic Similarity for Arabic Language Questions. - Tian Xia, Shaodan Zhai, Shaojun Wang:
A simple discriminative training method for machine translation with large-scale features. - Junyi Bian, Baojun Lin, Ke Zhang, Zhaohui Yan, Hong Tang, Yonghe Zhang:
Controllable Length Control Neural Encoder-Decoder via Reinforcement Learning. - Pierre Gouédard:
On Recovering Latent Factors From Sampling And Firing Graph. - Mario Lezcano Casado:
Trivializations for Gradient-Based Optimization on Manifolds. - Travis J. Desell, AbdElRahman ElSaid, Alexander Ororbia:
An Empirical Exploration of Deep Recurrent Connections and Memory Cells Using Neuro-Evolution. - Yuchen Chang, Keigo Matsumoto, Takuji Narumi, Tomohiro Tanikawa, Michitaka Hirose:
Redirection Controller Using Reinforcement Learning. - Yunsu Kim, Petre Petrov, Pavel Petrushkov, Shahram Khadivi, Hermann Ney:
Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages. - Tobias Zaenker, Francesco Verdoja, Ville Kyrki:
Hypermap Mapping Framework and its Application to Autonomous Semantic Exploration. - Kumar Mridul, M. Ramanathan, Kunal Ahirwar, Mansi Sharma:
Multi-user Augmented Reality Application for Video Communication in Virtual Space. - Suzana Ilic, Reiichiro Nakano, Ivo Hajnal:
Designing dialogue systems: A mean, grumpy, sarcastic chatbot in the browser. - Asir Saeed, Suzana Ilic, Eva Zangerle:
Creative GANs for generating poems, lyrics, and metaphors. - Xiaoman Wang, Xin Jiang, Jie Zhao, Shengfan Wang, Yunhui Liu:
Object grasping planning for the situation when soft and rigid objects are mixed together. - Shin-ichi Maeda, Hayato Watahiki, Shintarou Okada, Masanori Koyama:
Reconnaissance and Planning algorithm for constrained MDP. - Artem Polyvyanyy, Arthur H. M. ter Hofstede, Marcello La Rosa, Chun Ouyang, Anastasiia Pika:
Process Query Language: Design, Implementation, and Evaluation. - Lukas Schmid, Michael Pantic, Raghav Khanna, Lionel Ott, Roland Siegwart, Juan I. Nieto:
An Efficient Sampling-based Method for Online Informative Path Planning in Unknown Environments. - Hamed Jelodar, Yongli Wang, Mahdi Rabbani, Seyedvalyallah Ayobi:
Natural Language Processing via LDA Topic Model in Recommendation Systems. - Tong Wu, Liang Tong, Yevgeniy Vorobeychik:
Defending Against Physically Realizable Attacks on Image Classification. - Kazuki Koga:
Signal processing approach to mesh refinement in simulations of axisymmetric droplet dynamics. - Sergio Antoy, Michael Hanus:
Equivalence Checking of Non-deterministic Operations. - Jialin Liu, Chih-Min Lin, Fei Chao:
Gradient Boost with Convolution Neural Network for Stock Forecast. - Bosu Choi, Mark A. Iwen, Toni Volkmer:
Sparse Harmonic Transforms II: Best s-Term Approximation Guarantees for Bounded Orthonormal Product Bases in Sublinear-Time. - Bortik Bandyopadhyay, Xiang Deng, Goonmeet Bajaj, Huan Sun, Srinivasan Parthasarathy:
Automatic Table completion using Knowledge Base. - Behnaz Rezaei, Yiorgos Christakis, Bryan Ho, Kevin Thomas, Kelley Erb, Sarah Ostadabbas, Shyamal Patel:
Target-Specific Action Classification for Automated Assessment of Human Motor Behavior from Video. - Cristian Ene, Laurent Mounier, Marie-Laure Potet:
Output-sensitive Information flow analysis. - (Withdrawn) Understanding Architectures Learnt by Cell-based Neural Architecture Search.
- Oleksii Kuchaiev, Jason Li, Huyen Nguyen, Oleksii Hrinchuk, Ryan Leary, Boris Ginsburg, Samuel Kriman, Stanislav Beliaev, Vitaly Lavrukhin, Jack Cook, Patrice Castonguay, Mariya Popova, Jocelyn Huang, Jonathan M. Cohen:
NeMo: a toolkit for building AI applications using Neural Modules. - Debasish Ray Mohapatra, Victor Zappi, Sidney S. Fels:
An extended two-dimensional vocal tract model for fast acoustic simulation of single-axis symmetric three-dimensional tubes. - Ralf C. Staudemeyer, Eric Rothstein Morris:
Understanding LSTM - a tutorial into Long Short-Term Memory Recurrent Neural Networks. - Tsung-Yuan Hsu, Chi-Liang Liu, Hung-yi Lee:
Zero-shot Reading Comprehension by Cross-lingual Transfer Learning with Multi-lingual Language Representation Model. - Rene Schaub:
What are Neural Networks made of? - Takuma Sugimoto, Kousuke Yamaguchi, Kanji Tanaka:
Fault-Diagnosing SLAM for Varying Scale Change Detection. - Vu Nguyen, Sebastian Schulze, Michael A. Osborne:
Bayesian Optimization for Iterative Learning. - Tanaka Kanji:
Mining Minimal Map-Segments for Visual Place Classifiers. - Cheonbok Park, Inyoup Na, Yongjang Jo, Sungbok Shin, Jaehyo Yoo, Bum Chul Kwon, Jian Zhao, Hyungjong Noh, Yeonsoo Lee, Jaegul Choo:
SANVis: Visual Analytics for Understanding Self-Attention Networks. - Samuel Yu, Heon Lee, Jung Hoon Kim:
Street Crossing Aid Using Light-weight CNNs for the Visually Impaired. - Ghada Dessouky, Tommaso Frassetto, Ahmad-Reza Sadeghi:
HybCache: Hybrid Side-Channel-Resilient Caches for Trusted Execution Environments. - Björn B. Brandenburg:
Multiprocessor Real-Time Locking Protocols: A Systematic Review. - Chris Careaga, Brian Hutchinson, Nathan Oken Hodas, Lawrence Phillips:
Metric-Based Few-Shot Learning for Video Action Recognition. - Xinghua Zheng, Ming Tang, Hankz Hankui Zhuo, Kevin X. Wen:
Repositioning Bikes with Carrier Vehicles and Bike Trailers in Bike Sharing Systems. - Albert Cheu, Adam D. Smith, Jonathan R. Ullman:
Manipulation Attacks in Local Differential Privacy. - Maria Strazzullo, Francesco Ballarin, Gianluigi Rozza:
POD-Galerkin Model Order Reduction for Parametrized Time Dependent Linear Quadratic Optimal Control Problems in Saddle Point Formulation. - Keith Burghardt, Tad Hogg, Kristina Lerman:
Quantifying the Impact of Cognitive Biases in Question-Answering Systems. - Sobhan Moosavi, Mohammad Hossein Samavatian, Srinivasan Parthasarathy, Radu Teodorescu, Rajiv Ramnath:
Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and Insights. - Arber Zela, Thomas Elsken, Tonmoy Saikia, Yassine Marrakchi, Thomas Brox, Frank Hutter:
Understanding and Robustifying Differentiable Architecture Search. - Ian D. Miller, Fernando Cladera Ojeda, Anthony Cowley, Shreyas S. Shivakumar, Elijah S. Lee, Laura Jarin-Lipschitz, Akhilesh Bhat, Neil Rodrigues, Alex Zhou, Avraham Cohen, Adarsh Kulkarni, James Laney, Camillo Jose Taylor, Vijay Kumar:
Mine Tunnel Exploration using Multiple Quadrupedal Robots. - Aditya Krishna Menon, Anand Rajagopalan, Baris Sumengen, Gui Citovsky, Qin Cao, Sanjiv Kumar:
Online Hierarchical Clustering Approximations. - Boris Belousov, Alymbek Sadybakasov, Bastian Wibranek, Filipe Veiga, Oliver Tessmann, Jan Peters:
Building a Library of Tactile Skills Based on FingerVision. - Dylan P. Losey, Krishnan Srinivasan, Ajay Mandlekar, Animesh Garg, Dorsa Sadigh:
Controlling Assistive Robots with Learned Latent Actions. - Yu-Jhe Li, Ci-Siang Lin, Yan-Bo Lin, Yu-Chiang Frank Wang:
Cross-Dataset Person Re-Identification via Unsupervised Pose Disentanglement and Adaptation. - Zhe Huang, Weijiang Yu, Wayne Zhang, Litong Feng, Nong Xiao:
Gradual Network for Single Image De-raining. - Mathilde Fekom, Nicolas Vayatis, Argyris Kalogeratos:
Sequential Dynamic Resource Allocation for Epidemic Control. - Mayra Nilson, Vard Antinyan, Lucas Gren:
Do internal software quality tools measure validated metrics? - Douglas N. Arnold, Shawn W. Walker:
The Hellan-Herrmann-Johnson method with curved elements. - Kiril Solovey, Lucas Janson, Edward Schmerling, Emilio Frazzoli, Marco Pavone:
Revisiting the Asymptotic Optimality of RRT. - Hossein Keshavarz, Shohreh Tabatabayi Seifi, Mohammad Izadi:
A Deep Learning-Based Approach for Measuring the Domain Similarity of Persian Texts. - Haitham Seelawi, Ahmad Mustafa, Hesham Al-Bataineh, Wael Farhan, Hussein T. Al-Natsheh:
NSURL-2019 Shared Task 8: Semantic Question Similarity in Arabic. - Vince Kurtz, Rafael Rodrigues da Silva, Patrick M. Wensing, Hai Lin:
Formal Connections between Template and Anchor Models via Approximate Simulation. - Tuan Manh Lai, Quan Hung Tran, Trung Bui, Daisuke Kihara:
A Gated Self-attention Memory Network for Answer Selection. - Ruo-Ping Dong, Khyathi Raghavi Chandu, Alan W. Black:
Induction and Reference of Entities in a Visual Story. - Weijia Shi, Muhao Chen, Pei Zhou, Kai-Wei Chang:
Retrofitting Contextualized Word Embeddings with Paraphrases. - Swaraj Khadanga, Karan Aggarwal, Shafiq R. Joty, Jaideep Srivastava:
Using Clinical Notes with Time Series Data for ICU Management. - (Withdrawn) Risk-sensitive safety specifications for stochastic systems using Conditional Value-at-Risk.
- Stefan Hosein, Daniel Andor, Ryan T. McDonald:
Measuring Domain Portability and ErrorPropagation in Biomedical QA. - Hossein K. Mousavi, Guangyi Liu, Weihang Yuan, Martin Takác, Héctor Muñoz-Avila, Nader Motee:
A Layered Architecture for Active Perception: Image Classification using Deep Reinforcement Learning. - Hassan Hafez-Kolahi, Shohreh Kasaei, Mahdiyeh Soleymani-Baghshah:
Do Compressed Representations Generalize Better? - Tomas Veloz, Xiaozhao Zhao, Diederik Aerts:
Measuring Conceptual Entanglement in Collections of Documents. - Xiaofan Zhang, Haoming Lu, Cong Hao, Jiachen Li, Bowen Cheng, Yuhong Li, Kyle Rupnow, Jinjun Xiong, Thomas S. Huang, Honghui Shi, Wen-mei W. Hwu, Deming Chen:
SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems. - Zhen Xu, Andrew M. Dai, Jonas Kemp, Luke Metz:
Learning an Adaptive Learning Rate Schedule. - Chunwei Ma, Zhanghexuan Ji, Mingchen Gao:
Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data. - Mohammad Rezaei, Nader Naderi:
Persian Signature Verification using Fully Convolutional Networks. - (Withdrawn) Safer End-to-End Autonomous Driving via Conditional Imitation Learning and Command Augmentation.
- Mohammad Rezaei, Ali Ahmadi, Navid Naderi:
Content-based image retrieval using Mix histogram. - Qiqi Hou, Feng Liu:
Context-Aware Image Matting for Simultaneous Foreground and Alpha Estimation. - M. Sadegh Riazi, Kim Laine, Blake Pelton, Wei Dai:
HEAX: High-Performance Architecture for Computation on Homomorphically Encrypted Data in the Cloud. - Aminollah Khormali, Ahmed Abusnaina, Songqing Chen, DaeHun Nyang, Aziz Mohaisen:
COPYCAT: Practical Adversarial Attacks on Visualization-Based Malware Detection. - Yinsong Wang, Shahin Shahrampour:
Distributed Parameter Estimation in Randomized One-hidden-layer Neural Networks. - Philipp Moll, Veit Frick, Natascha Rauscher, Mathias Lux:
How Players Play Games: Observing the Influences of Game Mechanics. - Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard:
Deep Generative Models for Library Augmentation in Multiple Endmember Spectral Mixture Analysis. - Paul Tarau, Eduardo Blanco:
Dependency-based Text Graphs for Keyphrase and Summary Extraction with Applications to Interactive Content Retrieval. - Shiyang Li, Jianshu Chen, Dian Yu:
Teaching Pretrained Models with Commonsense Reasoning: A Preliminary KB-Based Approach. - Sarthak Arora, Shitij Kumar, Ferat Sahin:
Human Position Detection & Tracking with On-robot Time-of-Flight Laser Ranging Sensors. - Sameer Kumar, Victor Bitorff, Dehao Chen, Chiachen Chou, Blake A. Hechtman, HyoukJoong Lee, Naveen Kumar, Peter Mattson, Shibo Wang, Tao Wang, Yuanzhong Xu, Zongwei Zhou:
Scale MLPerf-0.6 models on Google TPU-v3 Pods. - Yixing Xu, Yunhe Wang, Hanting Chen, Kai Han, Chunjing Xu, Dacheng Tao, Chang Xu:
Positive-Unlabeled Compression on the Cloud. - Ameya Vaidya, Feng Mai, Yue Ning:
Empirical Analysis of Multi-Task Learning for Reducing Model Bias in Toxic Comment Detection. - Yuhang Liu, Luming Wang, Mingyu Chen, Yungang Bao, Yang Wang, Xiang Li:
Gene-Patterns: Should Architecture be Customized for Each Application? - Zehui Yao, Boyan Zhang, Zhiyong Wang, Wanli Ouyang, Dong Xu, Dagan Feng:
IntersectGAN: Learning Domain Intersection for Generating Images with Multiple Attributes. - Abhinav Aggarwal, Shivam Kakkar, Pawan Kumar:
Multithreaded Filtering Preconditioner for Diffusion Equation on Structured Grid. - Vladyslav Oles, Nathan Lemons, Alexander Panchenko:
Efficient estimation of a Gromov-Hausdorff distance between unweighted graphs. - Deepank Verma, Arnab Jana:
LULC classification methodology based on simple Convolutional Neural Network to map complex urban forms at finer scale: Evidence from Mumbai. - Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan:
Generating Positive Bounding Boxes for Balanced Training of Object Detectors. - Siddhant Srivastava, Ritu Tiwari:
Self-attention based end-to-end Hindi-English Neural Machine Translation. - Somayeh Jafaritazehjani, Albert Gatt, Marc Tanti:
Visuallly Grounded Generation of Entailments from Premises. - Saachi Jain, Matei Zaharia:
Automated Lower Bounds on the I/O Complexity of Computation Graphs. - Carme Àlvarez, Arnau Messegué:
On the Price of Anarchy for High-Price Links. - Saypraseuth Mounsaveng, David Vázquez, Ismail Ben Ayed, Marco Pedersoli:
Adversarial Learning of General Transformations for Data Augmentation. - Huangying Zhan, Chamara Saroj Weerasekera, Jiawang Bian, Ian D. Reid:
Visual Odometry Revisited: What Should Be Learnt? - Mengyao Zheng, Dixing Xu, Linshan Jiang, Chaojie Gu, Rui Tan, Peng Cheng:
Challenges of Privacy-Preserving Machine Learning in IoT. - Hiba Abu Ahmad, Hongzhi Wang:
Automatic Weighted Matching Rectifying Rule Discovery for Data Repairing. - Jayesh Badwaik, Praveen Chandrashekar, Christian Klingenberg:
Single-Step Arbitrary Lagrangian-Eulerian Discontinuous Galerkin Method for 1-D Euler Equations. - Diego Marcheggiani, Ivan Titov:
Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling. - Luma Omar, Ioannis P. Ivrissimtzis:
Using theoretical ROC curves for analysing machine learning binary classifiers. - Zhi Chen, Jingjing Li, Yadan Luo, Zi Huang, Yang Yang:
CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language. - Manu Airaksinen, Okko Räsänen, Elina Ilén, Taru Häyrinen, Anna Kivi, Viviana Marchi, Anastasia Gallen, Sonja Blom, Anni Varhe, Nico Kaartinen, Leena Haataja, Sampsa Vanhatalo:
Automatic Posture and Movement Tracking of Infants with Wearable Movement Sensors. - Shidong Jiang:
A fast Gauss transform in one dimension using sum-of-exponentials approximations. - Xiang Li, Jiechao Ma, Hongwei Li:
Invasiveness Prediction of Pulmonary Adenocarcinomas Using Deep Feature Fusion Networks. - Kaixu Huang, Fanman Meng, Hongliang Li, Shuai Chen, Qingbo Wu, King N. Ngan:
Class Activation Map generation by Multiple Level Class Grouping and Orthogonal Constraint. - Alem Fitwi, Yu Chen, Sencun Zhu:
A Lightweight Blockchain-based Privacy Protection for Smart Surveillance at the Edge. - Danny Yuxing Huang, Noah J. Apthorpe, Gunes Acar, Frank Li, Nick Feamster:
IoT Inspector: Crowdsourcing Labeled Network Traffic from Smart Home Devices at Scale. - Mark Rowland, Shayegan Omidshafiei, Karl Tuyls, Julien Pérolat, Michal Valko, Georgios Piliouras, Rémi Munos:
Multiagent Evaluation under Incomplete Information. - Arit Kumar Bishwas, Ashish Mani, Vasile Palade:
An Investigation of Quantum Deep Clustering Framework with Quantum Deep SVM & Convolutional Neural Network Feature Extractor. - Saket S. Chaturvedi, Kajol Gupta, Vaishali Ninawe, Prakash S. Prasad:
Advances in Computer-Aided Diagnosis of Diabetic Retinopathy. - Alena Sorokina, Aidana Karipbayeva, Zhenisbek Assylbekov:
Low-Rank Approximation of Matrices for PMI-based Word Embeddings. - Junmo Sung, Brian L. Evans:
Versatile Compressive mmWave Hybrid Beamformer Codebook Design Framework. - Junmo Sung, Brian L. Evans:
Hybrid Beamformer Codebook Design and Ordering for Compressive mmWave Channel Estimation. - Sauptik Dhar, Vladimir Cherkassky:
Single Class Universum-SVM. - Hossein Rastgoftar, Ella M. Atkins:
Resilient Continuum Deformation Coordination. - Sandeep Suntwal, Mithun Paul, Rebecca Sharp, Mihai Surdeanu:
On the Importance of Delexicalization for Fact Verification. - Kisuk Lee, Ran Lu, Kyle Luther, H. Sebastian Seung:
Learning Dense Voxel Embeddings for 3D Neuron Reconstruction. - Yifeng Shi, Junier Oliva, Marc Niethammer:
Deep Message Passing on Sets. - Ethan Fahnestock, Siddharth Patki, Thomas M. Howard:
Language-guided Adaptive Perception with Hierarchical Symbolic Representations for Mobile Manipulators. - Rhiannon Michelmore, Matthew Wicker, Luca Laurenti, Luca Cardelli, Yarin Gal, Marta Kwiatkowska:
Uncertainty Quantification with Statistical Guarantees in End-to-End Autonomous Driving Control. - Dana Cerná, Laura Rebollo-Neira:
Construction of wavelet dictionaries for ECG modelling. - Boitumelo Ruf, Thomas Pollok, Martin Weinmann:
Efficient Surface-Aware Semi-Global Matching with Multi-View Plane-Sweep Sampling. - Joshua J. Engelsma, Kai Cao, Anil K. Jain:
Learning a Fixed-Length Fingerprint Representation. - Pawel Ladosz, Eseoghene Ben-Iwhiwhu, Yang Hu, Nicholas Ketz, Soheil Kolouri, Jeffrey L. Krichmar, Praveen K. Pilly, Andrea Soltoggio:
Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture. - Jeancarlo Campos Leão, Alberto H. F. Laender, Pedro O. S. Vaz de Melo:
A Multi-Strategy Approach to Overcoming Bias in Community Detection Evaluation. - Hadi Ahmadi, Derek Small:
Graph Model Implementation of Attribute-Based Access Control Policies. - Ruohan Zhang, Faraz Torabi, Lin Guan, Dana H. Ballard, Peter Stone:
Leveraging Human Guidance for Deep Reinforcement Learning Tasks. - Guy D. Rosin, Kira Radinsky:
Generating Timelines by Modeling Semantic Change. - Abhishek Santra, Kanthi Sannappa Komar, Sanjukta Bhowmick, Sharma Chakravarthy:
Making a Case for MLNs for Data-Driven Analysis: Modeling, Efficiency, and Versatility. - Kasper Green Larsen, Michael Mitzenmacher, Charalampos E. Tsourakakis:
Optimal Learning of Joint Alignments with a Faulty Oracle. - Érika S. Rosas-Quezada, Gabriela Ramírez-de-la-Rosa, Esaú Villatoro-Tello:
Predicting consumers engagement on Facebook based on what and how companies write. - Arijit Sehanobish, Chan Hee Song:
Using Chinese Glyphs for Named Entity Recognition. - Prateesh Goyal, Preey Shah, Naveen Kr. Sharma, Mohammad Alizadeh, Thomas E. Anderson:
Backpressure Flow Control. - Evan Brinckman, Andrey Kuehlkamp, Jarek Nabrzyski, Ian J. Taylor:
Techniques and Applications for Crawling, Ingesting and Analyzing Blockchain Data. - Clara Andrade Pimentel, Philipe de Freitas Melo, Marília Lyra Bergamo:
Levantamento de Requisitos para Jogos Educativos Infantis. - Weizhi Xu, Shengyu Fan, Tiantian Wang, Yufeng Zhou:
Blocking and sparsity for optimization of convolution calculation algorithm on GPUs. - Shashi M. Aithal, Prasanna Balaprakash:
MaLTESE: Large-Scale Simulation-Driven Machine Learning for Transient Driving Cycles. - Haifeng Li, Jun Liu, Li Cui, Haiyang Huang, Xue-Cheng Tai:
Volume Preserving Image Segmentation with Entropic Regularization Optimal Transport and Its Applications in Deep Learning. - Wei Wan, Jun Liu:
Nonlocal Patches based Gaussian Mixture Model for Image Inpainting. - Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid:
Structured Binary Neural Networks for Image Recognition. - Yuanxin Wu, Yury A. Litmanovich:
Strapdown Attitude Computation: Functional Iterative Integration versus Taylor Series Expansion. - Mayra Samaniego, Ralph Deters:
Pushing Software-Defined Blockchain Components onto Edge Hosts. - Jinkyu Koo, Michael A. Roth, Saurabh Bagchi:
HAWKEYE: Adversarial Example Detector for Deep Neural Networks. - Zhe Xu, Federico M. Zegers, Bo Wu, Warren E. Dixon, Ufuk Topcu:
Controller Synthesis for Multi-Agent Systems With Intermittent Communication: A Metric Temporal Logic Approach. - Yang Lu, Shujun Li, Athina Ioannou, Iis Tussyadiah:
From Data Disclosure to Privacy Nudges: A Privacy-aware and User-centric Personal Data Management Framework. - Mehdi Samiee, Ali Akhavan-Safaei, Mohsen Zayernouri:
A Fractional Subgrid-scale Model for Turbulent Flows: Theoretical Formulation and a Priori Study. - Tanzila Rahman, Bicheng Xu, Leonid Sigal:
Watch, Listen and Tell: Multi-modal Weakly Supervised Dense Event Captioning. - Can Peng, Kun Zhao, Arnold Wiliem, Teng Zhang, Peter Hobson, Anthony Jennings, Brian C. Lovell:
To What Extent Does Downsampling, Compression, and Data Scarcity Impact Renal Image Analysis? - Ha Tran Hong Phan, Ashnil Kumar, David Feng, Michael J. Fulham, Jinman Kim:
Semi-supervised estimation of event temporal length for cell event detection. - Kuang-Huei Lee, Hamid Palangi, Xi Chen, Houdong Hu, Jianfeng Gao:
Learning Visual Relation Priors for Image-Text Matching and Image Captioning with Neural Scene Graph Generators. - Grigory Tsiperman:
Stochastic model of business process decomposition. - Xin Cai, Yi-Fei Pu:
Pixel-Level Dense Prediction without Decoder. - Bakhtiyar Syed, Gaurav Verma, Balaji Vasan Srinivasan, Anandhavelu Natarajan, Vasudeva Varma:
Adapting Language Models for Non-Parallel Author-Stylized Rewriting. - Sai Krishna Rallabandi:
On Controlled DeEntanglement for Natural Language Processing. - Lee-Ad Gottlieb, Shira Ozeri:
Classification in asymmetric spaces via sample compression. - Jesús María Sanz-Serna, Konstantinos C. Zygalakis:
Contractivity of Runge-Kutta methods for convex gradient systems. - Cedric Oeldorf, Gerasimos Spanakis:
LoGANv2: Conditional Style-Based Logo Generation with Generative Adversarial Networks. - Joonas Hämäläinen, Alisson S. C. Alencar, Tommi Kärkkäinen, César L. C. Mattos, Amauri H. Souza Júnior, João P. P. Gomes:
Minimal Learning Machine: Theoretical Results and Clustering-Based Reference Point Selection. - Mingqi Hu, Deyu Zhou, Yulan He:
Variational Conditional GAN for Fine-grained Controllable Image Generation. - Hiro Ito, Areej Khoury, Ilan Newman:
On the Characterization of 1-sided error Strongly-Testable Graph Properties for bounded-degree graphs, including an appendix. - Amit Moryossef, Ido Dagan, Yoav Goldberg:
Improving Quality and Efficiency in Plan-based Neural Data-to-Text Generation. - Uzi Pereg:
Entanglement-Assisted Capacity of Quantum Channels with Side Information. - Hirofumi Inaguma, Masato Mimura, Shinsuke Sakai, Tatsuya Kawahara:
Improving OOV Detection and Resolution with External Language Models in Acoustic-to-Word ASR. - Kevin Zhang, Feng Xiong, Peize Sun, Li Hu, Boxun Li, Gang Yu:
Double Anchor R-CNN for Human Detection in a Crowd. - Chiranjibi Sitaula, Yong Xiang, Anish Basnet, Sunil Aryal, Xuequan Lu:
Tag-based Semantic Features for Scene Image Classification. - Dongwei Li, Shuliang Wang, Nan Gao, Qiang He, Yun Yang:
Cutting the Unnecessary Long Tail: Cost-Effective Big Data Clustering in the Cloud. - Debasish Pattanayak, John Augustine, Partha Sarathi Mandal:
Randomized Gathering of Asynchronous Mobile Robots. - Gourab K. Patro, Abhijnan Chakraborty, Niloy Ganguly, Krishna P. Gummadi:
Incremental Fairness in Two-Sided Market Platforms: On Updating Recommendations Fairly. - João G. Ribeiro, Francisco S. Melo, João Dias:
Multi-task Learning and Catastrophic Forgetting in Continual Reinforcement Learning. - Kumari Neha, Shashank Srikanth, Sonali Singhal, Shwetanshu Singh, Arun Balaji Buduru, Ponnurangam Kumaraguru:
Is change the only constant? Profile change perspective on #LokSabhaElections2019. - Xin Han, Yasushi Kawase, Kazuhisa Makino, Haruki Yokomaku:
Online Knapsack Problems with a Resource Buffer. - Guoliang Dong, Jingyi Wang, Jun Sun, Yang Zhang, Xinyu Wang, Ting Dai, Jin Song Dong:
Analyzing Recurrent Neural Network by Probabilistic Abstraction. - Peilun Wu, Hui Guo:
LuNet: A Deep Neural Network for Network Intrusion Detection. - Ioannis Vasileios Chremos, Logan Beaver, Andreas A. Malikopoulos:
A Game-Theoretic Analysis of the Social Impact of Connected and Automated Vehicles. - Jian Shi, Kevin M. Lynch:
In-hand Sliding Regrasp with Spring-Sliding Compliance. - Seyed Shahabaldin Tohidi, Yildiray Yildiz, Ilya V. Kolmanovsky:
Model Reference Adaptive Control Allocation for Constrained Systems with Guaranteed Closed Loop Stability. - Amir Arslan Haghrah, Sehraneh Ghaemi:
PyIT2FLS: A New Python Toolkit for Interval Type 2 Fuzzy Logic Systems. - Luke Liu, Qing Yang:
A Probabilistic Graph Model for Trust Opinion Estimation in Online Social Networks. - Phu Mon Htut, Kyunghyun Cho, Samuel R. Bowman:
Inducing Constituency Trees through Neural Machine Translation. - Ayan Roy, Sanjay Madria:
Secured Traffic Monitoring in VANET. - Muthiah Annamalai, T. Shrinivasan:
Algorithms for certain classes of Tamil Spelling correction. - Guangchi Liu, Qing Yang, Honggang Wang, Alex X. Liu:
Trust Assessment in Online Social Networks. - Yasar Tonta, Müge Akbulut:
Does Monetary Support Increase Citation Impact of Scholarly Papers? - Vivek Khatana, Govind Saraswat, Sourav Patel, Murti V. Salapaka:
Gradient-Consensus Method for Distributed Optimization in Directed Multi-Agent Networks. - Kourosh Darvish, Yeshasvi Tirupachuri, Giulio Romualdi, Lorenzo Rapetti, Diego Ferigo, Francisco Javier Andrade Chavez, Daniele Pucci:
Whole-Body Geometric Retargeting for Humanoid Robots. - Lucas Gren, Per Lenberg:
Agility is responsiveness to change: An essential definition. - Alessa Hering, Bram van Ginneken, Stefan Heldmann:
mlVIRNET: Multilevel Variational Image Registration Network. - Saurabh Verma, Zhi-Li Zhang:
Deep Universal Graph Embedding Neural Network. - Yazan Mualla, Amro Najjar, Timotheus Kampik, Igor Tchappi, Stéphane Galland, Christophe Nicolle:
Towards Explainability for a Civilian UAV Fleet Management using an Agent-based Approach. - Karan P. Jain, Mark W. Mueller:
Flying batteries: In-flight battery switching to increase multirotor flight time. - Rujun Han, I-Hung Hsu, Mu Yang, Aram Galstyan, Ralph M. Weischedel, Nanyun Peng:
Deep Structured Neural Network for Event Temporal Relation Extraction. - Yu-Ming Chen, Michael Posa:
Optimal Reduced-order Modeling of Bipedal Locomotion. - Ciprian Tomoiaga, Paul Feng, Mathieu Salzmann, Patrick Jayet:
Field typing for improved recognition on heterogeneous handwritten forms. - Sashank Santhanam, Samira Shaikh:
Towards Best Experiment Design for Evaluating Dialogue System Output. - Rohan Kadekodi, Se Kwon Lee, Sanidhya Kashyap, Taesoo Kim, Aasheesh Kolli, Vijay Chidambaram:
SplitFS: Reducing Software Overhead in File Systems for Persistent Memory. - Kojiro Kobayashi:
Nonexistence of minimal-time solutions for some variations of the firing squad synchronization problem having simple geometric configurations. - Qingxing Cao, Bailin Li, Xiaodan Liang, Liang Lin:
Explainable High-order Visual Question Reasoning: A New Benchmark and Knowledge-routed Network. - Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin:
Stochastic Iterative Hard Thresholding for Low-Tucker-Rank Tensor Recovery. - Yiyuan Zhao, Jianing Wang, Rui Li, Robert F. Labadie, Benoit M. Dawant, Jack H. Noble:
Validation of image-guided cochlear implant programming techniques. - Chuanbiao Song, Kun He, Jiadong Lin, Liwei Wang, John E. Hopcroft:
Robust Local Features for Improving the Generalization of Adversarial Training. - Zhanming Jie, Wei Lu:
Dependency-Guided LSTM-CRF for Named Entity Recognition. - Beng Chin Ooi, Gang Chen, Dumitrel Loghin, Wei Wang, Meihui Zhang:
5G: Agent for Further Digital Disruptive Transformations. - Robert B. Grupp, Hsin-Hong Chiang, Yoshito Otake, Ryan J. Murphy, Chad R. Gordon, Mehran Armand, Russell H. Taylor:
Smooth Extrapolation of Unknown Anatomy via Statistical Shape Models. - Taposh Dutta Roy:
Implementation of Goldschmidt's Algorithm with hardware reduction. - Ananya Kumar, Percy Liang, Tengyu Ma:
Verified Uncertainty Calibration. - Zhaoyi Pei, Piaosong Hao, Meixiang Quan, Muhammad Zuhair Qadir, Guo Li:
Active collaboration in relative observation for Multi-agent visual SLAM based on Deep Q Network. - Hamidreza Shahidi, Ming Li, Jimmy Lin:
Two Birds, One Stone: A Simple, Unified Model for Text Generation from Structured and Unstructured Data. - Xinke Deng, Yu Xiang, Arsalan Mousavian, Clemens Eppner, Timothy Bretl, Dieter Fox:
Self-supervised 6D Object Pose Estimation for Robot Manipulation. - Mukesh Saini, Benjamin Guthier, Hao Kuang, Dwarikanath Mahapatra, Abdulmotaleb El-Saddik:
sZoom: A Framework for Automatic Zoom into High Resolution Surveillance Videos. - Liang Yu, Weiwei Xie, Di Xie, Yulong Zou, Dengying Zhang, Zhixin Sun, Linghua Zhang, Tao Jiang:
Deep Reinforcement Learning for Smart Home Energy Management. - Tianqiao Liu, Wenbiao Ding, Zhiwei Wang, Jiliang Tang, Gale Yan Huang, Zitao Liu:
Automatic Short Answer Grading via Multiway Attention Networks. - Chen Zhang, Qiuchi Li, Dawei Song:
Syntax-Aware Aspect-Level Sentiment Classification with Proximity-Weighted Convolution Network. - Jieqiong Zhao, Morteza Karimzadeh, Hanye Xu, Abish Malik, Shehzad Afzal, Guizhen Wang, Niklas Elmqvist, David S. Ebert:
Route Packing: Geospatially-Accurate Visualization of Route Networks. - Prasad Jayathurathnage, Xiaojie Dang, Fu Liu, Constantin Simovski, Sergei A. Tretyakov:
Omnidirectional Wireless Power Transfer with Automatic Power Flow Control. - Roni Con, Amir Shpilka:
Explicit and Efficient Constructions of Coding Schemes for the Binary Deletion Channel and the Poisson Repeat Channel. - Xiaoling Long, Sören Schwertfeger:
Path Planning Tolerant to Degraded Locomotion Conditions. - Hanjiang Hu, Hesheng Wang, Zhe Liu, Chenguang Yang, Weidong Chen, Le Xie:
Retrieval-based Localization Based on Domain-invariant Feature Learning under Changing Environments. - Roberto Saltini, David Hyland-Wood:
IBFT 2.0: A Safe and Live Variation of the IBFT Blockchain Consensus Protocol for Eventually Synchronous Networks. - Rama Vadapalli, Kartik Suryavanshi, Ruchita Vucha, Abhishek Sarkar, K. Madhava Krishna:
Modular Pipe Climber. - Marc Schröder, Tami Tamir, Vipin Ravindran Vijayalakshmi:
Scheduling Games with Machine-Dependent Priority Lists. - Avik Ranjan Adhikary, Sudhan Majhi, Zi Long Liu, Yong Liang Guan:
New Sets of Optimal Odd-length Binary Z-Complementary Pairs. - Zilong Liu, Pei Xiao, Su Hu:
Low-PAPR Preamble Design for FBMC Systems. - Zilong Liu, Ping Yang, Yong Liang Guan, Pei Xiao:
Cross-Complementary Pairs for Optimal Training in Spatial Modulation over Frequency Selective Channels. - Hyung Ju Terry Suh, Xiaobin Xiong, Andrew Singletary, Aaron D. Ames, Joel W. Burdick:
Optimal Motion Planning for Multi-Modal Hybrid Locomotion. - Mücahid Kutlu, Kareem Darwish, Cansin Bayrak, Ammar Rashed, Tamer Elsayed:
Embedding-based Qualitative Analysis of Polarization in Turkey. - Jiayun Wang:
Learning Coupled Spatial-temporal Attention for Skeleton-based Action Recognition. - Vikrant Ashvinkumar, Joachim Gudmundsson, Christos Levcopoulos, Bengt J. Nilsson, André van Renssen:
Local Routing in Sparse and Lightweight Geometric Graphs. - Hong-lin Liao, Tao Tang, Tao Zhou:
A second-order and nonuniform time-stepping maximum-principle preserving scheme for time-fractional Allen-Cahn equations. - Jungwon Park, Junha Kim, Inkyu Jang, H. Jin Kim:
Efficient Multi-Agent Trajectory Planning with Feasibility Guarantee using Relative Bernstein Polynomial. - Oliver M. Crook, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis:
PDE-Inspired Algorithms for Semi-Supervised Learning on Point Clouds. - Irene Amerini, Elena Balashova, Sayna Ebrahimi, Kathryn Leonard, Arsha Nagrani, Amaia Salvador:
WiCV 2019: The Sixth Women In Computer Vision Workshop. - Evgeny E. Baraboshkin, Leyla S. Ismailova, Denis M. Orlov, Elena A. Zhukovskaya, Georgy A. Kalmykov, Oleg V. Khotylev, Evgeny Yu. Baraboshkin, Dmitry A. Koroteev:
Deep Convolutions for In-Depth Automated Rock Typing. - Zhaofan Qiu, Ting Yao, Yiheng Zhang, Yongdong Zhang, Tao Mei:
Scheduled Differentiable Architecture Search for Visual Recognition. - Ignas Budvytis, Marvin Teichmann, Tomas Vojir, Roberto Cipolla:
Large Scale Joint Semantic Re-Localisation and Scene Understanding via Globally Unique Instance Coordinate Regression. - Éric Sopena, Mariusz Wozniak:
A note on the neighbour-distinguishing index of digraphs. - Jianxiong Cai, Hongyu Chen, Laurent Kneip, Sören Schwertfeger:
Improving CNN-based Planar Object Detection with Geometric Prior Knowledge. - Yaping Zheng, Shiyi Chen, Xiaofeng Zhang, Di Wang:
Heterogeneous Graph Convolutional Networks for Temporal Community Detection. - Ai Linh Nguyen, Wenyuan Liu, Khiam Aik Khor, Andrea Nanetti, Siew Ann Cheong:
The Golden Eras of Graphene Science and Technology: Bibliographic Evidences From Journal and Patent Publications. - Moses Ganardi, Danny Hucke, Markus Lohrey, Tatiana Starikovskaya:
Sliding window property testing for regular languages. - Felix Hamborg, Philipp Meschenmoser, Moritz Schubotz, Bela Gipp:
NewsDeps: Visualizing the Origin of Information in News Articles. - Chen Chen, Xin Jiang, Weiguo Zhou, Yun-Hui Liu:
Pose Estimation for Texture-less Shiny Objects in a Single RGB Image Using Synthetic Training Data. - Nicolás Robinson-García, Ismael Ràfols:
The differing meanings of indicators under different policy contexts. The case of internationalisation. - Umair Zulfiqar, Victor Sreeram, Xin Du:
Time-limited pseudo-optimal H2-model order reduction. - Kartik Suryavanshi, Rama Vadapalli, Ruchitha Vucha, Abhishek Sarkar, K. Madhava Krishna:
Omnidirectional Tractable Three Module Robot. - Daniel Lerch-Hostalot, David Megías:
Detection of Classifier Inconsistencies in Image Steganalysis. - Rahif Kassab, Osvaldo Simeone, Andrea Munari, Federico Clazzer:
Space Diversity-Based Grant-Free Random Access for Critical and Non-Critical IoT Services. - Mogens Graf Plessen:
GPU-accelerated Logistics Optimisation for Biomass Production with Multiple Simultaneous Harvesters Tours, Fields and Plants. - Jie Li, David A. Karpuk, Camilla Hollanti:
Private Information Retrieval from MDS Array Codes with (Near-) Optimal Repair Bandwidth. - Ivan Pavic, Hrvoje Pandzic, Tomislav Capuder:
EV-based Smart E-mobility System - Part I: Concept. - Christian Requena-Mesa, Markus Reichstein, Miguel D. Mahecha, Basil Kraft, Joachim Denzler:
Predicting Landscapes from Environmental Conditions Using Generative Networks. - Ivan Pavic, Hrvoje Pandzic, Tomislav Capuder:
EV-based Smart E-mobility System - Part II: Formulation and Case Study. - Soroush Seifi, Tinne Tuytelaars:
Where to Look Next: Unsupervised Active Visual Exploration on 360° Input. - (Withdrawn) Deep Multi-Facial patches Aggregation Network for Expression Classification from Face Images.
- Mihai Zanfir, Elisabeta Oneata, Alin-Ionut Popa, Andrei Zanfir, Cristian Sminchisescu:
Human Synthesis and Scene Compositing. - Marco Piangerelli, Giacomo Rocchetti, Alessandro Liscio, Renato De Leone:
BinarySDG: binary sensor data generation with R. - Kailun Wang:
An Evalutation of Programming Language Models' performance on Software Defect Detection. - Soroush Seifi, Tinne Tuytelaars:
How to improve CNN-based 6-DoF camera pose estimation. - Huong Luu, Marek Chrobak:
Modeling Fluid Mixing in Microfluidic Grids. - Siddharth Bhandari, Sayantan Chakraborty:
Perfect Sampling of graph k-colorings for k>3Δ. - Jennifer Williams, Joanna Rownicka:
Speech Replay Detection with x-Vector Attack Embeddings and Spectral Features. - Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo, Anthony G. Constantinides:
Graph Signal Processing - Part II: Processing and Analyzing Signals on Graphs. - Gideon Kowadlo, Abdelrahman Ahmed, David Rawlinson:
AHA! an 'Artificial Hippocampal Algorithm' for Episodic Machine Learning. - Ricard Durall, Franz-Josef Pfreundt, Ullrich Köthe, Janis Keuper:
Object Segmentation using Pixel-wise Adversarial Loss. - Xiaoqi Jiao, Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Linlin Li, Fang Wang, Qun Liu:
TinyBERT: Distilling BERT for Natural Language Understanding. - Ahsan Adeel, Mandar Gogate, Saadullah Farooq, Cosimo Ieracitano, Kia Dashtipour, Hadi Larijani, Amir Hussain:
A Survey on the Role of Wireless Sensor Networks and IoT in Disaster Management. - Evripidis Bampis, Bruno Escoffier, Alexander V. Kononov:
LP-based algorithms for multistage minimization problems. - Zhen-Liang Ni, Gui-Bin Bian, Xiao-Hu Zhou, Zeng-Guang Hou, Xiaoliang Xie, Chen Wang, Yan-Jie Zhou, Rui-Qi Li, Zhen Li:
RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical Instruments. - Alexandra Carlson, Ram Vasudevan, Matthew Johnson-Roberson:
Shadow Transfer: Single Image Relighting For Urban Road Scenes. - Rahim Entezari, Olga Saukh:
Class-dependent Compression of Deep Neural Networks. - Berk Ekmekci, Eleanor Hagerman, Blake Howald:
A Consolidated System for Robust Multi-Document Entity Risk Extraction and Taxonomy Augmentation. - Nic Velissaris, Jessica Rivera-Villicana:
Towards Intelligent Interactive Theatre: Drama Management as a way of Handling Performance. - Tommaso Lisini Baldi, Francesco Farina, Andrea Garulli, Antonio Giannitrapani, Domenico Prattichizzo:
Upper Body Pose Estimation Using Wearable Inertial Sensors and Multiplicative Kalman Filter. - Shesha Sreenivasamurthy, Ethan Miller:
SIVSHM: Secure Inter-VM Shared Memory. - Jacopo Panerati, Benjamin Ramtoula, David St-Onge, Yanjun Cao, Marcel Kaufmann, Aidan Cowley, Lorenzo Sabattini, Giovanni Beltrame:
Decentralized Connectivity Control in Quadcopters: a Field Study of Communication Performance. - Zhaojun Lu, Qian Wang, Xi Chen, Gang Qu, Yongqiang Lyu, Zhenglin Liu:
LEAP: A Lightweight Encryption and Authentication Protocol for In-Vehicle Communications. - Hehui Zheng, Jacopo Panerati, Giovanni Beltrame, Amanda Prorok:
An Adversarial Approach to Private Flocking in Mobile Robot Teams. - Matteo Migliorini, Riccardo Castellotti, Luca Canali, Marco Zanetti:
Machine Learning Pipelines with Modern Big Data Tools for High Energy Physics. - Maksim Belousov, Nikola Milosevic, Ghada Alfattni, Haifa Alrdahi, Goran Nenadic:
GNTeam at 2018 n2c2: Feature-augmented BiLSTM-CRF for drug-related entity recognition in hospital discharge summaries. - Daniel Rueckert, Julia A. Schnabel:
Model-Based and Data-Driven Strategies in Medical Image Computing. - Berk Ekmekci, Eleanor Hagerman, Blake Howald:
Specificity-Based Sentence Ordering for Multi-Document Extractive Risk Summarization. - Yuying Chen, Congcong Liu, Ming Liu, Bertram E. Shi:
Robot Navigation in Crowds by Graph Convolutional Networks with Attention Learned from Human Gaze. - Milad Shafiee, Giulio Romualdi, Stefano Dafarra, Francisco Javier Andrade Chavez, Daniele Pucci:
Online DCM Trajectory Generation for Push Recovery of Torque-Controlled Humanoid Robots. - Mandar Gogate, Kia Dashtipour, Ahsan Adeel, Amir Hussain:
CochleaNet: A Robust Language-independent Audio-Visual Model for Speech Enhancement. - Alane Suhr, Yoav Artzi:
NLVR2 Visual Bias Analysis. - Hongyu Zang, Zhiwei Yu, Xiaojun Wan:
Automated Chess Commentator Powered by Neural Chess Engine. - Jessica Rivera-Villicana, Fabio Zambetta, James Harland, Marsha Berry:
Informing a BDI Player Model for an Interactive Narrative. - Chih-Hsuan Wei, Kyubum Lee, Robert Leaman, Zhiyong Lu:
Biomedical Mention Disambiguation using a Deep Learning Approach. - Jan Pöppel, Stefan Kopp:
Satisficing Mentalizing: Bayesian Models of Theory of Mind Reasoning in Scenarios with Different Uncertainties. - Gregor Wiedemann, Steffen Remus, Avi Chawla, Chris Biemann:
Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized Embeddings. - Can Chen, Luca Zanotti Fragonara, Antonios Tsourdos:
Go Wider: An Efficient Neural Network for Point Cloud Analysis via Group Convolutions. - Mert Al, Zejiang Hou, Sun-Yuan Kung:
Scalable Kernel Learning via the Discriminant Information. - Robert B. Grupp, Mehran Armand, Russell H. Taylor:
Patch-Based Image Similarity for Intraoperative 2D/3D Pelvis Registration During Periacetabular Osteotomy. - Pranava Madhyastha, Rishabh Jain:
On Model Stability as a Function of Random Seed. - Yuren Zhong, Aniket Anand Deshmukh, Clayton Scott:
PAC Reinforcement Learning without Real-World Feedback. - Robert B. Grupp, Yoshito Otake, Ryan J. Murphy, Javad Parvizi, Mehran Armand, Russell H. Taylor:
Pelvis Surface Estimation From Partial CT for Computer-Aided Pelvic Osteotomies. - Tim Krake, Daniel Weiskopf, Bernhard Eberhardt:
Dynamic Mode Decomposition: Theory and Data Reconstruction. - Hassan Rafique, Tong Wang, Qihang Lin:
Model-Agnostic Linear Competitors - When Interpretable Models Compete and Collaborate with Black-Box Models. - Hannaneh Barahouei Pasandi, Tamer Nadeem:
Collaborative Intelligent Cross-Camera Video Analytics at Edge: Opportunities and Challenges. - Li Jiang, Hengshuang Zhao, Shu Liu, Xiaoyong Shen, Chi-Wing Fu, Jiaya Jia:
Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation. - Vishvak Murahari, Prithvijit Chattopadhyay, Dhruv Batra, Devi Parikh, Abhishek Das:
Improving Generative Visual Dialog by Answering Diverse Questions. - Aravind V. R, Pradeep Kiran Sarvepalli, Andrew Thangaraj:
Subpacketization in Coded Caching with Demand Privacy. - Nicolás Espitia, Iasson Karafyllis, Miroslav Krstic:
Event-triggered boundary control of constant-parameter reaction-diffusion PDEs: a small-gain approach. - Alexey Demyanchuk, Ekaterina Pushkina, Nikolay Russkikh, Dmitry Shtokalo, Sergey Mishinov:
Hydrocephalus verification on brain magnetic resonance images with deep convolutional neural networks and "transfer learning" technique. - Jade Master, Evan Patterson, Shahin Yousfi, Arquimedes Canedo:
String Diagrams for Assembly Planning. - Binil Starly, Atin Angrish, Paul Cohen:
Research Directions in Democratizing Innovation through Design Automation, One-Click Manufacturing Services and Intelligent Machines. - Yuming Huang, Ashkan Panahi, Hamid Krim, Liyi Dai:
Community Detection and Improved Detectability in Multiplex Networks. - Alesia Chernikova, Alina Oprea:
Adversarial Examples for Deep Learning Cyber Security Analytics. - Zewen Chi, Li Dong, Furu Wei, Wenhui Wang, Xianling Mao, Heyan Huang:
Cross-Lingual Natural Language Generation via Pre-Training. - Visak C. V. Kumar, Sehoon Ha, Gregory Sawicki, C. Karen Liu:
Learning a Control Policy for Fall Prevention on an Assistive Walking Device. - Amnon Rosenmann:
On the Distance between Timed Automata. - Roy Fairstein, Adam Lauz, Kobi Gal, Reshef Meir:
Modeling Peoples Voting Behavior with Poll Information. - Chunhui Guo, Zhicheng Fu, Zhenyu Zhang, Shangping Ren, Lui Sha:
Formalism for Supporting the Development of Verifiably Safe Medical Guidelines with Statecharts. - Vivek Shankar Varadharajan, David St-Onge, Bram Adams, Giovanni Beltrame:
Self-Healing Ground-and-Air Connectivity Chains. - Xue-She Wang, James D. Turner, Brian P. Mann:
Constrained Attractor Selection Using Deep Reinforcement Learning. - Mithun Chakraborty, Warut Suksompong, Yair Zick:
On Weighted Envy-Freeness in Indivisible Item Allocation. - Daniel Gillick, Sayali Kulkarni, Larry Lansing, Alessandro Presta, Jason Baldridge, Eugene Ie, Diego Garcia-Olano:
Learning Dense Representations for Entity Retrieval. - Eko Prasetyo, Prayitno, Jing-Doo Wang, Karisma Trinanda Putra:
Visualization and Travel Time Extraction System for the Statistics of TDCS Travel using MapReduce Framework. - Gregory Farquhar, Shimon Whiteson, Jakob N. Foerster:
Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Estimators for Reinforcement Learning. - Lukas Holzbaur, Sven Puchinger, Antonia Wachter-Zeh:
Error Decoding of Locally Repairable and Partial MDS Codes. - Wei Zhang, Wei Wei, Lingjie Xu, Lingling Jin, Cheng Li:
AI Matrix: A Deep Learning Benchmark for Alibaba Data Centers. - A. K. M. Iqtidar Newaz, Amit Kumar Sikder, Mohammad Ashiqur Rahman, A. Selcuk Uluagac:
HealthGuard: A Machine Learning-Based Security Framework for Smart Healthcare Systems. - Isam Asaad, Bilal Chiha:
Design of neural nonlinear PFC Controller to control speed of Autonomous Car. - Yann-Meing Law, Jean-Christophe Nave:
FDTD schemes for Maxwell interface problems with perfect electric conductors based on the correction function method. - Sarthak Dash, Md. Faisal Mahbub Chowdhury, Alfio Gliozzo, Nandana Mihindukulasooriya, Nicolas Rodolfo Fauceglia:
Inducing Hypernym Relationships Based On Order Theory. - Mohammad N. Patwary, Syed Junaid Nawaz, Md. Abdur Rahman, Shree Krishna Sharma, Md. Mamunur Rashid, Stuart J. Barnes:
The Potential Short- and Long-Term Disruptions and Transformative Impacts of 5G and Beyond Wireless Networks: Lessons Learnt from the Development of a 5G Testbed Environment. - Grusha Prasad, Marten van Schijndel, Tal Linzen:
Using Priming to Uncover the Organization of Syntactic Representations in Neural Language Models. - Muhammad Sarwar, Faisal Mehmood, Muhammad Abid, Abdul Qayyum Khan, Sufi Tabassum Gul, Adil Sarwar Khan:
High Impedance Fault Detection and Isolation in Power Distribution Networks using Support Vector Machines. - Shaddin Dughmi, Rad Niazadeh, Alexandros Psomas, S. Matthew Weinberg:
Persuasion and Incentives Through the Lens of Duality. - Augustine Musukwa, Massimiliano Sala, Marco Zaninelli:
On some cryptographic properties of Boolean functions and their second-order derivatives. - Md Mehedi Hassan Onik, Mahdi H. Miraz:
Performance Analytical Comparison of Blockchain-as-a-Service (BaaS) Platforms. - Jinyuan Jia, Ahmed Salem, Michael Backes, Yang Zhang, Neil Zhenqiang Gong:
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples. - Sebastian Goodman, Zhenzhong Lan, Radu Soricut:
Multi-stage Pretraining for Abstractive Summarization. - Lise Noel, Mathias Schmidt, C. Messe, John A. Evans, Kurt Maute:
Adaptive level set topology optimization using hierarchical B-splines. - Shiwali Mohan, Hesham Rakha, Matthew Klenk:
Acceptable Planning: Influencing Individual Behavior to Reduce Transportation Energy Expenditure of a City. - Huaqing Zhang, Xiaolin Cheng, Hui Zang, Dae Hoon Park:
Compiler-Level Matrix Multiplication Optimization for Deep Learning. - Ofir Nachum, Haoran Tang, Xingyu Lu, Shixiang Gu, Honglak Lee, Sergey Levine:
Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning? - Behrouz Babaki, Golnoosh Farnadi, Gilles Pesant:
Compiling Stochastic Constraint Programs to And-Or Decision Diagrams. - Saeed Afrasiabi Gorgani, Gerhard Wunder:
Application of the Method of Conditional Expectations for Reduction of PAPR and Cubic Metric of OFDM Signals. - Stephen A. Vavasis, Katerina D. Papoulia, M. Reza Hirmand:
Second-order cone interior-point method for quasistatic and moderate dynamic cohesive fracture. - Siddhant Garg:
Data Ordering Patterns for Neural Machine Translation: An Empirical Study. - Mayra Samaniego, Cristian Espana, Ralph Deters:
Suspicious Transactions in Smart Spaces. - Xi Chen, Christos H. Papadimitriou, Tim Roughgarden:
An Axiomatic Approach to Block Rewards. - Artur Czumaj, Christian Sohler:
A characterization of graph properties testable for general planar graphs with one-sided error (It is all about forbidden subgraphs). - Fábio Souza, Rodrigo Nogueira, Roberto A. Lotufo:
Portuguese Named Entity Recognition using BERT-CRF. - Heather Riley, Mohan Sridharan:
Non-monotonic Logical Reasoning Guiding Deep Learning for Explainable Visual Question Answering. - Zhi Zhang, Jiachen Yang, Hongyuan Zha:
Integrating independent and centralized multi-agent reinforcement learning for traffic signal network optimization. - Lingchen Zhu, Tuanfeng Zhang:
Generating Geological Facies Models with Fidelity to Diversity and Statistics of Training Images using Improved Generative Adversarial Networks. - Shachar Lovett, Kewen Wu, Jiapeng Zhang:
Decision list compression by mild random restrictions. - Daiki Matsunaga, Toyotaro Suzumura, Toshihiro Takahashi:
Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis. - (Withdrawn) Monotonic Trends in Deep Neural Networks.
- Wentao Ma, Yiming Cui, Nan Shao, Su He, Weinan Zhang, Ting Liu, Shijin Wang, Guoping Hu:
TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-based Chatbots. - Manuel Fernandez, David P. Woodruff, Taisuke Yasuda:
The Query Complexity of Mastermind with 𝓁p Distances. - Xin Ding:
Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space with Softplus Loss. - Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou:
Relational Learning for Joint Head and Human Detection. - Peixiang Zhong, Di Wang, Chunyan Miao:
Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations. - Hongxuan Ma, Wei Zou, Zheng Zhu, Siyang Sun, Zhaobing Kang:
The Field-of-View Constraint of Markers for Mobile Robot with Pan-Tilt Camera. - Venkatesan Guruswami, Bernhard Haeupler, Amirbehshad Shahrasbi:
Optimally Resilient Codes for List-Decoding from Insertions and Deletions. - Daniel Sánchez, Weiwei Wan, Kensuke Harada:
Tethered Tool Manipulation Planning with Cable Maneuvering. - Philipp V. Rouast, Marc T. P. Adam:
Learning deep representations for video-based intake gesture detection. - Chandan Pradhan, Ang Li, Changyang She, Yonghui Li, Branka Vucetic:
Computation Offloading for IoT in C-RAN: Optimization and Deep Learning. - Pei Lv, Haiyu Yu, Junxiao Xue, Junjin Cheng, Lisha Cui, Bing Zhou, Mingliang Xu, Yi Yang:
Multi-scale discriminative Region Discovery for Weakly-Supervised Object Localization. - Allen Nie, Arturo L. Pineda, Matt W. Wright, Hannah Wand, Bryan Wulf, Helio A. Costa, Ronak Y. Patel, Carlos D. Bustamante, James Zou:
LitGen: Genetic Literature Recommendation Guided by Human Explanations. - Wojciech Nadara, Marcin Smulewicz:
Decreasing maximum average degree by deleting independent set or d-degenerate subgraph. - Nitish Bahadur, Randy C. Paffenroth:
Dimension Estimation Using Autoencoders. - Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro:
Graph Policy Gradients for Large Scale Unlabeled Motion Planning with Constraints. - Abigail See, Aneesh Pappu, Rohun Saxena, Akhila Yerukola, Christopher D. Manning:
Do Massively Pretrained Language Models Make Better Storytellers? - Yijiong Lin, Jiancong Huang, Matthieu Zimmer, Juan Rojas, Paul Weng:
Invariant Transform Experience Replay. - Chiranjibi Sitaula, Yong Xiang, Sunil Aryal, Xuequan Lu:
Unsupervised Deep Features for Privacy Image Classification. - Raheel Anwar, Muhammad Irfan Yousuf, Muhammad Abid:
Analysis of a Model for Generating Weakly Scale-free Networks. - Lucy H. Lin, Noah A. Smith:
Situating Sentence Embedders with Nearest Neighbor Overlap. - Chao Lu, Wei Xu, Shi Jin, Kezhi Wang:
Bit-level Optimized Neural Network for Multi-antenna Channel Quantization. - Daniel Hienert, Dagmar Kern, Katarina Boland, Benjamin Zapilko, Peter Mutschke:
A Digital Library for Research Data and Related Information in the Social Sciences. - Daniel Hienert, Dagmar Kern:
Recognizing Topic Change in Search Sessions of Digital Libraries based on Thesaurus and Classification System. - Weihao Xuan, Ruijie Ren, Yeping Hu:
Multi-agent Interactive Prediction under Challenging Driving Scenarios. - Ting-Rui Chiang, Hao-Tong Ye, Yun-Nung Chen:
An Empirical Study of Content Understanding in Conversational Question Answering. - Javaria Imtiaz, Salman Sherin, Muhammad Uzair Khan, Muhammad Zohaib Iqbal:
A Systematic Literature Review of Test Breakage Prevention and Repair Techniques. - Muhammad Uzair Khan, Salman Sherin, Muhammad Zohaib Iqbal, Rubab Zahid:
Landscaping Systematic Mapping Studies in Software Engineering: A Tertiary Study. - Seonguk Park, Nojun Kwak:
FEED: Feature-level Ensemble for Knowledge Distillation. - Minghua Chen, Wenya Qi, Jiankang Shi, Jiming Wu:
A sharp error estimate of piecewise polynomial collocation for nonlocal problems with weakly singular kernels. - Roberto Di Cosmo:
How to use Software Heritage for archiving and referencing your source code: guidelines and walkthrough. - Alberto Pessia, Jing Tang:
Numerical evaluation of the transition probability of the simple birth-and-death process. - Rasmus Pagh, Johan Sivertsen:
The space complexity of inner product filters. - Ying Ju, Fubang Zhao, Shijie Chen, Bowen Zheng, Xuefeng Yang, Yunfeng Liu:
Technical report on Conversational Question Answering. - Minhao Cheng, Simranjit Singh, Patrick H. Chen, Pin-Yu Chen, Sijia Liu, Cho-Jui Hsieh:
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack. - Lisa Graziani, Stefano Melacci, Marco Gori:
Jointly Learning to Detect Emotions and Predict Facebook Reactions. - Xiao Dongling, Liu Chang:
PolSAR Image Classification Based on Dilated Convolution and Pixel-Refining Parallel Mapping network in the Complex Domain. - (Withdrawn) IR-Net: Forward and Backward Information Retention for Highly Accurate Binary Neural Networks.
- Min-Kook Choi, Jaehyung Park, Heechul Jung, Jin-Hee Lee, Soo-Heang Eo:
Fast and Accurate Convolutional Object Detectors for Real-time Embedded Platforms. - Michael Poli, Jinkyoo Park, Ilija Ilievski:
WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series. - Saar Barkai, Ido Hakimi, Assaf Schuster:
Gap Aware Mitigation of Gradient Staleness. - Benoit Renault, Jacques Saraydaryan, Olivier Simonin:
Towards S-NAMO: Socially-aware Navigation Among Movable Obstacles. - Kieran Greer:
Image Recognition using Region Creep. - Kim Hammar, Shatha Jaradat, Nima Dokoohaki, Mihhail Matskin:
Deep Text Mining of Instagram Data Without Strong Supervision. - Renqian Luo, Tao Qin, Enhong Chen:
Understanding and Improving One-shot Neural Architecture Optimization. - Nasrollah Pakniat:
Security analysis of two lightweight certificateless signature schemes. - Florian Scheidegger, Luca Benini, Costas Bekas, A. Cristiano I. Malossi:
Constrained deep neural network architecture search for IoT devices accounting hardware calibration. - Risheng Liu, Pan Mu, Jin Zhang:
On the Convergence of ADMM with Task Adaption and Beyond. - Szabolcs Pável, Csanád Sándor, Lehel Csató:
Distortion Estimation Through Explicit Modeling of the Refractive Surface. - Patrícia Alves-Oliveira, Samuel Gomes, Ankita Chandak, Patrícia Arriaga, Guy Hoffman, Ana Paiva:
Software architecture for YOLO, a creativity-stimulating robot. - David N. Jansen, Jan Friso Groote, Jeroen J. A. Keiren, Anton Wijs:
A simpler O(m log n) algorithm for branching bisimilarity on labelled transition systems. - Peter König, Sandra Aigner, Marco Körner:
Enhancing Traffic Scene Predictions with Generative Adversarial Networks. - Shibo Zhou, Ying Chen, Qiang Ye, Jiangxi Li:
Direct training based spiking convolutional neural networks for object recognition. - Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Luc Van Gool, Marie-Francine Moens:
Talk2Car: Taking Control of Your Self-Driving Car. - Robert Cockell, Basel Halak:
On the Design and Analysis of a Biometric Authentication System using Keystroke Dynamics. - Tianyu Zhang, Lingxi Xie, Longhui Wei, Yongfei Zhang, Bo Li, Qi Tian:
Single Camera Training for Person Re-identification. - Jan van den Brand, Danupon Nanongkai:
Dynamic Approximate Shortest Paths and Beyond: Subquadratic and Worst-Case Update Time. - Kyoung-Ho Kim, Huy Kang Kim:
Oldie is Goodie: Effective User Retention by In-game Promotion Event Analysis. - Lei Li, Wei Liu, Marina Litvak, Natalia Vanetik, Zuying Huang:
In Conclusion Not Repetition: Comprehensive Abstractive Summarization With Diversified Attention Based On Determinantal Point Processes. - Tobias Weinzierl:
A high-level characterisation and generalisation of communication-avoiding programming techniques. - Rishabh Dabral, Nitesh B. Gundavarapu, Rahul Mitra, Abhishek Sharma, Ganesh Ramakrishnan, Arjun Jain:
Multi-Person 3D Human Pose Estimation from Monocular Images. - Yiling Liu, Qiegen Liu, Minghui Zhang, Qingxin Yang, Shanshan Wang, Dong Liang:
IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI. - Diane Bury, Jean Baptiste Izard, Marc Gouttefarde, Florent Lamiraux:
Continuous Collision Detection for a Robotic Arm Mounted on a Cable-Driven Parallel Robot. - Fucheng Tian, Xiaoliang Tang, Tingyu Xu, Liangbin Li:
An adaptive edge-based smoothed finite element method (ES-FEM) for phase-field modeling of fractures at large deformations. - Chao-Wei Huang, Yun-Nung Chen:
Learning ASR-Robust Contextualized Embeddings for Spoken Language Understanding. - Noor Sajid, Philip J. Ball, Karl J. Friston:
Demystifying active inference. - Dominik D. Freydenberger, Sam M. Thompson:
Dynamic Complexity of Document Spanners. - Dominik Baumann, Fabian Mager, Romain Jacob, Lothar Thiele, Marco Zimmerling, Sebastian Trimpe:
Fast Feedback Control over Multi-hop Wireless Networks with Mode Changes and Stability Guarantees. - Mostafa Safi, Seyed Mehran Dibaji, Mohammad Pirani:
Resilient Coordinated Movement of Connected Autonomous Vehicles. - Jinfu Chen, Hilary Ackah-Arthur, Chengying Mao, Patrick Kwaku Kudjo:
A Taxonomic Review of Adaptive Random Testing: Current Status, Classifications, and Issues. - Amir Karami:
Application of Fuzzy Clustering for Text Data Dimensionality Reduction. - Ronghua Xu, Gowri Sankar Ramachandran, Yu Chen, Bhaskar Krishnamachari:
BlendSM-DDM: BLockchain-ENabled Secure Microservices for Decentralized Data Marketplaces. - Injy Hamed, Moritz Zhu, Mohamed Elmahdy, Slim Abdennadher, Ngoc Thang Vu:
Code-switching Language Modeling With Bilingual Word Embeddings: A Case Study for Egyptian Arabic-English. - Anirudh Goyal, Alex Lamb, Jordan Hoffmann, Shagun Sodhani, Sergey Levine, Yoshua Bengio, Bernhard Schölkopf:
Recurrent Independent Mechanisms. - Vasileios Gkitsas, Antonis Karakottas, Nikolaos Zioulis, Dimitrios Zarpalas, Petros Daras:
Restyling Data: Application to Unsupervised Domain Adaptation. - Robert Schwarzenberg, Marc Hübner, David Harbecke, Christoph Alt, Leonhard Hennig:
Layerwise Relevance Visualization in Convolutional Text Graph Classifiers. - Viet-Anh Tran, Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam:
Improving Collaborative Metric Learning with Efficient Negative Sampling. - Kay Massow, Ilja Radusch, Robert Shorten:
On Constant Distance Spacing Policies for Cooperative Adaptive Cruise Control. - Hüsnü Ata Erbay, Saadet Erbay, Albert Erkip:
A semi-discrete numerical method for convolution-type unidirectional wave equations. - Sourav Dutta, Dibbendu Roy, Goutam Das:
Protocol design for energy efficient OLT transmitter in TWDM-PON guaranteeing SLA of up-stream and down-stream traffic. - Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan:
Fundamental Limits of Spectrum Sharing for NOMA-Based Cooperative Relaying Under a Peak Interference Constraint. - Christian Kroer, Alexander Peysakhovich:
Scalable Fair Division for 'At Most One' Preferences. - Jakub Sliwinski, Roger Wattenhofer:
ABC: Asynchronous Blockchain without Consensus. - Marc E. Songolo, Brigitte Bidégaray-Fesquet:
Strang splitting schemes for N-level Bloch models. - Bingquan Ji, Hong-lin Liao, Yuezheng Gong, Luming Zhang:
Adaptive linear second-order energy stable schemes for time-fractional Allen-Cahn equation with volume constraint. - Philippe Borianne, Frederic Borne, Julien Sarron, Émile Faye:
Deep Mangoes: from fruit detection to cultivar identification in colour images of mango trees. - Samer Chehade, Nada Matta, Jean-Baptiste Pothin, Rémi Cogranne:
Data Interpretation Support in Rescue Operations: Application for French Firefighters. - Liqun Qi, Shenglong Hu, Xinzhen Zhang:
Nuclear Norm and Spectral Norm of Tensor Product. - Ronghua Xu, Yu Chen, Erik Blasch, Genshe Chen:
Microchain: A Hybrid Consensus Mechanism for Lightweight Distributed Ledger for IoT. - Tom Kocmi, Ondrej Bojar:
Transfer Learning across Languages from Someone Else's NMT Model. - Anat Ganor, Karthik C. S., Dömötör Pálvölgyi:
On Communication Complexity of Fixed Point Computation. - Fanrong Li, Zitao Mo, Peisong Wang, Zejian Liu, Jiayun Zhang, Gang Li, Qinghao Hu, Xiangyu He, Cong Leng, Yang Zhang, Jian Cheng:
A System-Level Solution for Low-Power Object Detection. - Binny Mathew, Anurag Illendula, Punyajoy Saha, Soumya Sarkar, Pawan Goyal, Animesh Mukherjee:
Temporal effects of Unmoderated Hate speech in Gab. - Chenchen Zhao, Yeqiang Qian, Ming Yang:
Monocular Pedestrian Orientation Estimation Based on Deep 2D-3D Feedforward. - Krishan Rana, Ben Talbot, Michael Milford, Niko Sünderhauf:
Residual Reactive Navigation: Combining Classical and Learned Navigation Strategies For Deployment in Unknown Environments. - Matthew Z. Wong, Kiyohito Kunii, Max Baylis, Wai Hong Ong, Pavel Kroupa, Swen Koller:
Synthetic dataset generation for object-to-model deep learning in industrial applications. - Shreyas S. Shivakumar, Neil Rodrigues, Alex Zhou, Ian D. Miller, Vijay Kumar, Camillo J. Taylor:
PST900: RGB-Thermal Calibration, Dataset and Segmentation Network. - Yiming Li, Changhong Fu, Fangqiang Ding, Ziyuan Huang, Jia Pan:
Augmented Memory for Correlation Filters in Real-Time UAV Tracking. - Émilie Grienenberger, Martin Ritzert:
Learning definable hypotheses on trees. - Jo Schlemper, Ilkay Öksüz, James R. Clough, Jinming Duan, Andrew P. King, Julia A. Schnabel, Joseph V. Hajnal, Daniel Rueckert:
dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance. - Luca Furieri, Maryam Kamgarpour:
First Order Methods For Globally Optimal Distributed Controllers Beyond Quadratic Invariance. - Mehdi Ghayoumi, Maryam Pourebadi:
Fuzzy Knowledge-Based Architecture for Learning and Interaction in Social Robots. - (Withdrawn) Towards the Uses of Blockchain in Mobile Health Services and Applications: A Survey.
- Shiv Ram Dubey, Soumendu Chakraborty, Swalpa Kumar Roy, Snehasis Mukherjee, Satish Kumar Singh, Bidyut Baran Chaudhuri:
diffGrad: An Optimization Method for Convolutional Neural Networks. - Antonella Zanna:
Symplectic P-stable Additive Runge-Kutta Methods. - Junaid Chaudhry, Uvais Qidwai, Mahdi H. Miraz:
Securing Big Data from Eavesdropping Attacks in SCADA/ICS Network Data Streams through Impulsive Statistical Fingerprinting. - Claudio Gallicchio, Alessio Micheli:
Reservoir Topology in Deep Echo State Networks. - Tanwi Mallick, Partha Pratim Das, Arun Kumar Majumdar:
Posture and sequence recognition for Bharatanatyam dance performances using machine learning approach. - Farshid Salehi, Parimal Saraf, Azade Brahman, Mehriar Aghazadeh Tabrizi:
Evaluating the Impacts of Transmission Expansion on Sub-Synchronous Resonance Risk. - Nicholas Hoernle, Kobi Gal, Barbara J. Grosz, Leilah Lyons, Ada Ren, Andee Rubin:
Interpretable Models of Human Interaction in Immersive Simulation Settings. - Iqbal H. Sarker, A. S. M. Kayes, Md. Hasan Furhad, Mohammad Mainul Islam, Md. Shohidul Islam:
E-MIIM: An Ensemble Learning based Context-Aware Mobile Telephony Model for Intelligent Interruption Management. - (Withdrawn) Globalized Robust Markov Perfect Equilibrium for Discounted Stochastic Games and its Application on Intrusion Detection in Wireless Sensor Networks.
- Qian Xie, Li Jin:
Resilience of Dynamic Routing in the Face of Recurrent and Random Sensing Faults. - Ronald Denaux, José Manuél Gómez-Pérez:
Assessing the Lexico-Semantic Relational Knowledge Captured by Word and Concept Embeddings. - Youngjae Min, Soon-Seo Park, Han-Lim Choi:
Informative Planning of Mobile Sensor Networks in GPS-Denied Environments. - Arian Prabowo, Piotr Koniusz, Wei Shao, Flora D. Salim:
COLTRANE: ConvolutiOnaL TRAjectory NEtwork for Deep Map Inference. - Amandla Mabona, Laura Rimell, Stephen Clark, Andreas Vlachos:
Neural Generative Rhetorical Structure Parsing. - Ali Alwehaibi, Mustafa Atay:
A Rule-Based Relational XML Access Control Model in the Presence of Authorization Conflicts. - Abdullah Yousafzai, Ibrar Yaqoob, Muhammad Imran, Abdullah Gani, Rafidah Md Noor:
Process migration-based computational offloading framework for IoT-supported mobile edge/cloud computing. - Luowei Zhou, Hamid Palangi, Lei Zhang, Houdong Hu, Jason J. Corso, Jianfeng Gao:
Unified Vision-Language Pre-Training for Image Captioning and VQA. - Shane Steinert-Threlkeld:
Paying Attention to Function Words. - Yuhui Yuan, Xilin Chen, Jingdong Wang:
Object-Contextual Representations for Semantic Segmentation. - Dhruv Rohatgi:
Conditional Hardness of Earth Mover Distance. - Alexandre Vianna, Waldemar Ferreira, Kiev Gama:
An Exploratory Study of How Specialists Deal with Testing in Data Stream Processing Applications. - Aleix Paris, Brett Thomas Lopez, Jonathan P. How:
Dynamic Landing of an Autonomous Quadrotor on a Moving Platform in Turbulent Wind Conditions. - Badih Ghazi, Pasin Manurangsi, Rasmus Pagh, Ameya Velingker:
Private Aggregation from Fewer Anonymous Messages. - Khai Nguyen Doan, Mojtaba Vaezi, Wonjae Shin, H. Vincent Poor, Hyundong Shin, Tony Q. S. Quek:
Power Allocation in Cache-Aided NOMA Systems: Optimization and Deep Reinforcement Learning Approaches. - Arnab Ghosh, Richard Zhang, Puneet K. Dokania, Oliver Wang, Alexei A. Efros, Philip H. S. Torr, Eli Shechtman:
Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation. - Sethu Hareesh Kolluru:
A Neural Network Based Method to Solve Boundary Value Problems. - Gabriel Istrate, Cosmin Bonchis, Claudiu Gatina:
It's Not Whom You Know, It's What You (or Your Friends) Can Do: Succint Coalitional Frameworks for Network Centralities. - Libin Lu, Matthew J. Morse, Abtin Rahimian, Georg Stadler, Denis Zorin:
Scalable Simulation of Realistic Volume Fraction Red Blood Cell Flows through Vascular Networks. - Péter Györgyi, Tamás Kis:
A common approximation framework for the early work, the late work, and resource leveling problems with unit time jobs. - Robert L. Peach, Alexis Arnaudon, Mauricio Barahona:
Semi-supervised classification on graphs using explicit diffusion dynamics. - Vasileios Nakos, Zhao Song, Zhengyu Wang:
(Nearly) Sample-Optimal Sparse Fourier Transform in Any Dimension; RIPless and Filterless. - Yifan Xue, Michael Q. Ding, Xinghua Lu:
Supervised Vector Quantized Variational Autoencoder for Learning Interpretable Global Representations. - Jinsun Liu, Pengcheng Zhao, Zhenyu Gan, Matthew Johnson-Roberson, Ram Vasudevan:
Leveraging the Template and Anchor Framework for Safe, Online Robotic Gait Design. - Pooya Abolghasemi, Ladislau Bölöni:
Accept Synthetic Objects as Real: End-to-End Training of Attentive Deep Visuomotor Policies for Manipulation in Clutter. - Weiyu Liu, Angel Andres Daruna, Sonia Chernova:
CAGE: Context-Aware Grasping Engine. - Timo C. Wunderlich, Ákos F. Kungl, Eric Müller, Johannes Schemmel, Mihai A. Petrovici:
Brain-Inspired Hardware for Artificial Intelligence: Accelerated Learning in a Physical-Model Spiking Neural Network. - Jacob Holm, Valerie King, Mikkel Thorup, Or Zamir, Uri Zwick:
Random k-out subgraph leaves only O(n/k) inter-component edges. - Nouamane Laanait, Joshua Romero, Junqi Yin, M. Todd Young, Sean Treichler, Vitalii Starchenko, Albina Y. Borisevich, Alex Sergeev, Michael A. Matheson:
Exascale Deep Learning for Scientific Inverse Problems. - Václav Blazej, Jirí Fiala, Giuseppe Liotta, Simon Lomic:
On the edge-length ratio of 2-trees. - Serim Ryou, Seong-Gyun Jeong, Pietro Perona:
Anchor Loss: Modulating Loss Scale based on Prediction Difficulty. - Lars Lindemann, Dimos V. Dimarogonas:
Efficient Automata-based Planning and Control under Spatio-Temporal Logic Specifications. - Rojin Aslani, Mehdi Rasti, Ata Khalili:
Energy Efficiency Maximization Via Joint Sub-Carrier Assignment and Power Control for OFDMA Full Duplex Networks. - Fan Sang, Daehee Jang, Ming-Wei Shih, Taesoo Kim:
P2FAAS: Toward Privacy-Preserving Fuzzing as a Service. - Aaron Yi Ding, Gianluca Limon De Jesus, Marijn Janssen:
Ethical Hacking for IoT Security: A First Look into Bug Bounty Programs and Responsible Disclosure. - Christopher Amato, Andrea Baisero:
Active Goal Recognition. - Zhaowei Liu, Andrew McBride, Prashant Saxena, Paul Steinmann:
Aspects of Isogeometric Analysis with Catmull-Clark Subdivision Surfaces. - Dingchuan Xue, Yichao Zhu, Shaoshuai Li, Chang Liu, Weisheng Zhang, Xu Guo:
On speeding up an asymptotic-analysis-based homogenisation scheme for designing gradient porous structured materials using a zoning strategy. - Hayoung Chung, Oded Amir, Hyunsun Alicia Kim:
Level-set topology optimization considering nonlinear thermoelasticity. - Sheung Chi Chan, James Cheney, Pramod Bhatotia, Thomas F. J.-M. Pasquier, Ashish Gehani, Hassaan Irshad, Lucian Carata, Margo I. Seltzer:
ProvMark: A Provenance Expressiveness Benchmarking System. - Thomas Gurriet, Maegan Tucker, Alexis Duburcq, Guilhem Boeris, Aaron D. Ames:
Towards Variable Assistance for Lower Body Exoskeletons. - Thomas N. Haider:
Diachronic Topics in New High German Poetry. - Rustam Pirmagomedov, Yevgeni Koucheryavy:
IoT Technologies for Augmented Human: a Survey. - Wei Zhu, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro, Xiuyuan Cheng:
Scale-Equivariant Neural Networks with Decomposed Convolutional Filters. - Tanwi Mallick, Prasanna Balaprakash, Eric Rask, Jane MacFarlane:
Graph-Partitioning-Based Diffusion Convolution Recurrent Neural Network for Large-Scale Traffic Forecasting. - Yu Tang, Yining Wen, Li Jin:
Security Risk Analysis of the Shorter-Queue Routing Policy for Two Symmetric Servers. - Shusen Wang:
Matrix Sketching for Secure Collaborative Machine Learning. - Brandon Laughlin, Christopher Collins, Karthik Sankaranarayanan, Khalil El-Khatib:
A Visual Analytics Framework for Adversarial Text Generation. - Emily Hannigan, Bing Song, Gagan Khandate, Maximilian Haas-Heger, Ji Yin, Matei T. Ciocarlie:
Automatic Snake Gait Generation Using Model Predictive Control. - Julie L. Newcomb, Rastislav Bodík:
Using human-in-the-loop synthesis to author functional reactive programs. - Kevin J. Doherty, David P. Baxter, Edward Schneeweiss, John J. Leonard:
Probabilistic Data Association via Mixture Models for Robust Semantic SLAM. - Shikhar Vashishth, Shyam Upadhyay, Gaurav Singh Tomar, Manaal Faruqui:
Attention Interpretability Across NLP Tasks. - Alp Aydinoglu, Victor M. Preciado, Michael Posa:
Contact-Aware Controller Design for Complementarity Systems. - Weilong Ren, Xiang Lian, Kambiz Ghazinour:
Skyline Queries Over Incomplete Data Streams (Technical Report). - Borja Balle, James Bell, Adrià Gascón, Kobbi Nissim:
Improved Summation from Shuffling. - Jingyi Xu, Michael Danielczuk, Jeffrey Ichnowski, Jeffrey Mahler, Eckehard G. Steinbach, Ken Goldberg:
Minimal Work: A Grasp Quality Metric for Deformable Hollow Objects. - Kishan Chandan, Xiang Li, Shiqi Zhang:
Negotiation-based Human-Robot Collaboration via Augmented Reality. - David Venuto, Léonard Boussioux, Junhao Wang, Rola Dali, Jhelum Chakravorty, Yoshua Bengio, Doina Precup:
Avoidance Learning Using Observational Reinforcement Learning. - Alexander Mathis, Mert Yüksekgönül, Byron Rogers, Matthias Bethge, Mackenzie W. Mathis:
Pretraining boosts out-of-domain robustness for pose estimation. - Al Amin Hosain, Panneer Selvam Santhalingam, Parth H. Pathak, Jana Kosecka, Huzefa Rangwala:
Sign Language Recognition Analysis using Multimodal Data. - Yash Bhalgat, Zhe Liu, Pritam Gundecha, Jalal Mahmud, Amita Misra:
Teacher-Student Learning Paradigm for Tri-training: An Efficient Method for Unlabeled Data Exploitation. - Bardienus Pieter Duisterhof, Srivatsan Krishnan, Jonathan J. Cruz, Colby R. Banbury, William Fu, Aleksandra Faust, Guido C. H. E. de Croon, Vijay Janapa Reddi:
Learning to Seek: Autonomous Source Seeking with Deep Reinforcement Learning Onboard a Nano Drone Microcontroller. - Sifei Liu, Xueting Li, Varun Jampani, Shalini De Mello, Jan Kautz:
Learning Propagation for Arbitrarily-structured Data. - Jingyu He, Yao Xiao, Paul Bogdan, Corina Bogdan:
Design Methodology for Energy Efficient Unmanned Aerial Vehicles. - Franco M. Luque:
Atalaya at TASS 2019: Data Augmentation and Robust Embeddings for Sentiment Analysis. - Jeremiah Blocki, Shubhang Kulkarni, Samson Zhou:
On Locally Decodable Codes in Resource Bounded Channels. - John Gideon, Katie Matton, Steve Anderau, Melvin G. McInnis, Emily Mower Provost:
When to Intervene: Detecting Abnormal Mood using Everyday Smartphone Conversations. - Chang How Tan, Vincent C. S. Lee, Mahsa Salehi:
Online Semi-Supervised Concept Drift Detection with Density Estimation. - Yang Lv, Liangsheng Zhuang, Pengyu Luo:
Neighborhood-Enhanced and Time-Aware Model for Session-based Recommendation. - Omer Anjum, Hongyu Gong, Suma Bhat, Wen-Mei Hwu, Jinjun Xiong:
PaRe: A Paper-Reviewer Matching Approach Using a Common Topic Space. - Lei Yang, Vivek Kumar Bagaria, Gerui Wang, Mohammad Alizadeh, David Tse, Giulia Fanti, Pramod Viswanath:
Prism: Scaling Bitcoin by 10, 000x. - Maciej Halber, Yifei Shi, Kai Xu, Thomas A. Funkhouser:
Rescan: Inductive Instance Segmentation for Indoor RGBD Scans. - Zijian Wang, Christopher Potts:
TalkDown: A Corpus for Condescension Detection in Context. - Taiji Suzuki:
Compression based bound for non-compressed network: unified generalization error analysis of large compressible deep neural network. - Lech Szymanski, Brendan McCane, Craig Atkinson:
Switched linear projections and inactive state sensitivity for deep neural network interpretability. - Irwandi Hipiny, Hamimah Ujir, Aazani Mujahid, Nurhartini Kamalia Yahya:
Towards Automated Biometric Identification of Sea Turtles (Chelonia mydas). - Mohamed Raessa, Jimmy Chi Yin Chen, Weiwei Wan, Kensuke Harada:
Human-in-the-loop Robotic Manipulation Planning for Collaborative Assembly. - Pedro Cisneros-Velarde, Noah E. Friedkin, Anton V. Proskurnikov, Francesco Bullo:
Structural Balance via Gradient Flows over Signed Graphs. - Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu:
Domain-invariant Learning using Adaptive Filter Decomposition. - Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu:
Stochastic Conditional Generative Networks with Basis Decomposition. - Zehao Lin, Xinjing Huang, Feng Ji, Haiqing Chen, Yin Zhang:
Task-Oriented Conversation Generation Using Heterogeneous Memory Networks. - Nway Nway Han, Aye Thida:
Annotated Guidelines and Building Reference Corpus for Myanmar-English Word Alignment. - Ke Chen, Qin Li, Kit Newton, Steve Wright:
Structured random sketching for PDE inverse problems. - Matt Gardner, Jonathan Berant, Hannaneh Hajishirzi, Alon Talmor, Sewon Min:
Question Answering is a Format; When is it Useful? - R. S. Raja Durai, Ashwini Kumar:
Multiple-Rate Channel Codes in GF(pn2). - Mengting Hu, Shiwan Zhao, Honglei Guo, Renhong Cheng, Zhong Su:
Learning to Detect Opinion Snippet for Aspect-Based Sentiment Analysis. - Cheolhyoung Lee, Kyunghyun Cho, Wanmo Kang:
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models. - Tahira Iqbal, Norbert Seyff, Daniel Méndez Fernández:
Generating Requirements Out of Thin Air: Towards Automated Feature Identification for New Apps. - Taewoo Kim, Joo-Haeng Lee:
C-3PO: Cyclic-Three-Phase Optimization for Human-Robot Motion Retargeting based on Reinforcement Learning. - Ethan Dyer, Guy Gur-Ari:
Asymptotics of Wide Networks from Feynman Diagrams. - Yu Liu, Fanggang Wang:
Blind Channel Estimation and Data Detection with Unknown Modulation and Coding Scheme. - Yuanqiang Cai, Dawei Du, Libo Zhang, Longyin Wen, Weiqiang Wang, Yanjun Wu, Siwei Lyu:
Guided Attention Network for Object Detection and Counting on Drones. - Chunpeng Wu, Wei Wen, Yiran Chen, Hai Li:
Conditional Transferring Features: Scaling GANs to Thousands of Classes with 30% Less High-quality Data for Training. - Mostafa Zaman Chowdhury, Md. Shahjalal, Shakil Ahmed, Yeong Min Jang:
6G Wireless Communication Systems: Applications, Requirements, Technologies, Challenges, and Research Directions. - T. M. Feroz Ali, Subhasis Chaudhuri:
Cross-View Kernel Similarity Metric Learning Using Pairwise Constraints for Person Re-identification. - Youngsoo Choi, Geoffrey Oxberry, Daniel A. White, Trenton Kirchdoerfer:
Accelerating design optimization using reduced order models. - Chun Quan, Jun-Gi Jang, Hyun Dong Lee, U Kang:
FALCON: Fast and Lightweight Convolution for Compressing and Accelerating CNN. - Xinchun Yu, Shuangqing Wei, Yuan Luo:
One-shot achievability and converse bounds of Gaussian random coding in AWGN channels under covert constraints. - Marie Euler, Christophe Petit:
Expanding the use of quasi-subfield polynomials. - Xiaoran Xu, Wei Feng, Yunsheng Jiang, Xiaohui Xie, Zhiqing Sun, Zhi-Hong Deng:
Dynamically Pruned Message Passing Networks for Large-Scale Knowledge Graph Reasoning. - Patryk Czajka, Jakub Radoszewski:
Experimental Evaluation of Algorithms for Computing Quasiperiods. - Weiming Zhi, Tin Lai, Lionel Ott, Gilad Francis, Fabio Ramos:
OCTNet: Trajectory Generation in New Environments from Past Experiences. - Aravind Sesagiri Raamkumar, Mojisola Erdt, Harsha Vijayakumar, Aarthy Nagarajan, Yin-Leng Theng:
Understanding the Twitter Usage of Science Citation Index (SCI) Journals. - Shintaro Uchiyama, Hayato Okumoto, Mitsuo Yoshida, Yuko Ichikawa, Kyoji Umemura:
Usefulness of Instructor Annotations on Flipped Learning Preparation Video System. - Robert Y. Lewis:
A formal proof of Hensel's lemma over the p-adic integers. - Dotan Kaufman, Koby Bibas, Eran Borenstein, Michael Chertok, Tal Hassner:
Balancing Specialization, Generalization, and Compression for Detection and Tracking. - Igor Sedlár:
Iterative division in the product-free Distributive Full Non-associative Lambek Calculus. - Xinxin Fan, Ling Liu, Rui Zhang, Quanliang Jing, Jingping Bi:
Decentralized Trust Management: Risk Analysis and Trust Aggregation. - Zihao Wang, Kwun Ping Lai, Piji Li, Lidong Bing, Wai Lam:
Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion. - Xiaolong Wu, Cédric Pradalier:
Robust Semi-Direct Monocular Visual Odometry Using Edge and Illumination-Robust Cost. - Igor Sedlár, Vít Puncochár, Andrew Tedder:
First Degree Entailment with Group Attitudes and Information Updates. - Olivier Beaumont, Louis-Claude Canon, Lionel Eyraud-Dubois, Giorgio Lucarelli, Loris Marchal, Clément Mommessin, Bertrand Simon, Denis Trystram:
Scheduling on Two Types of Resources: a Survey. - Zhe Xu, Ray C. C. Cheung:
Accurate and Compact Convolutional Neural Networks with Trained Binarization. - Agnishom Chattopadhyay, M. Praveen:
Query Preserving Watermarking Schemes for Locally Treelike Databases. - Dario A. Bini, Stefano Massei, Beatrice Meini, Leonardo Robol:
A computational framework for two-dimensional random walks with restarts. - Quan Vuong, Shuang Liu, Minghua Liu, Kamil Ciosek, Hao Su, Henrik Iskov Christensen:
Pre-training as Batch Meta Reinforcement Learning with tiMe. - Ruyi Ji, Longyin Wen, Libo Zhang, Dawei Du, Yanjun Wu, Chen Zhao, Xianglong Liu, Feiyue Huang:
Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization. - Zilong Liu, Pei Xiao, Zeina Mheich:
Power-Imbalanced Low-Density Signatures (LDS) From Eisenstein Numbers. - Ketil Malde, Hyeongji Kim:
Beyond image classification: zooplankton identification with deep vector space embeddings. - Diego Antognini, Claudiu Musat, Boi Faltings:
Multi-Dimensional Explanation of Reviews. - Marcel Schreiber, Vasileios Belagiannis, Claudius Gläser, Klaus Dietmayer:
Motion Estimation in Occupancy Grid Maps in Stationary Settings Using Recurrent Neural Networks. - Kazuki Fujii, Yuki Saito, Shinnosuke Takamichi, Yukino Baba, Hiroshi Saruwatari:
HumanGAN: generative adversarial network with human-based discriminator and its evaluation in speech perception modeling. - Hidenori Ogata:
Numerical method for computing Hadamard finite-part integrals with a non-integral power singularity at an endpoint. - Mohsen Ahmadvand, Dennis Fischer, Sebastian Banescu:
SIP Shaker: Software Integrity Protection Composition. - Mohsen Ahmadvand, Daniel Below, Sebastian Banescu, Alexander Pretschner:
VirtSC: Combining Virtualization Obfuscation with Self-Checksumming. - Thiago Andrade, Brais Cancela, João Gama:
Mining Human Mobility Data to Discover Locations and Habits. - Dehua Song, Chang Xu, Xu Jia, Yiyi Chen, Chunjing Xu, Yunhe Wang:
Efficient Residual Dense Block Search for Image Super-Resolution. - Chunxiao Liu, Zhendong Mao, An-An Liu, Tianzhu Zhang, Bin Wang, Yongdong Zhang:
Focus Your Attention: A Bidirectional Focal Attention Network for Image-Text Matching. - Kaushlendra Pandey, Harpreet S. Dhillon, Abhishek K. Gupta:
On the Contact and Nearest-Neighbor Distance Distributions for the n-Dimensional Matern Cluster Process. - Irfan Ul Haq, Juan Caballero:
A Survey of Binary Code Similarity. - Kim Thang Nguyen, Abhinav Srivastav:
Online Non-Monotone DR-submodular Maximization. - Qiao Cheng, Meiyuan Fang, Yaqian Han, Jin Huang, Yitao Duan:
Breaking the Data Barrier: Towards Robust Speech Translation via Adversarial Stability Training. - Panagiotis Charalampopoulos, Tomasz Kociumaka, Solon P. Pissis, Jakub Radoszewski, Wojciech Rytter, Juliusz Straszynski, Tomasz Walen, Wiktor Zuba:
Weighted Shortest Common Supersequence Problem Revisited. - Fabio Ferreira, Luciana Lourdes Silva, Marco Túlio Valente:
Software Engineering Meets Deep Learning: A Literature Review. - Jialin Liu, Fei Chao, Longzhi Yang, Chih-Min Lin, Qiang Shen:
Decoder Choice Network for Meta-Learning. - Yuqi Cui, Yifan Xu, Dongrui Wu:
EEG-Based Driver Drowsiness Estimation Using Feature Weighted Episodic Training. - Benjamin Sanderse:
Non-linearly stable reduced-order models for incompressible flow with energy-conserving finite volume methods. - Karin van Garderen, Marion Smits, Stefan Klein:
Multi-modal segmentation with missing MR sequences using pre-trained fusion networks. - Augustine Musukwa, Massimiliano Sala:
On the linear structures of Balanced functions and quadratic APN functions. - Roshna Omer Abdulrahman, Hossein Hassani, Sina Ahmadi:
Developing a Fine-Grained Corpus for a Less-resourced Language: the case of Kurdish. - Xiaotian Hao, Weixun Wang, Jianye Hao, Yaodong Yang:
Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems. - Mark Van der Merwe, Vinu Joseph, Ganesh Gopalakrishnan:
Message Scheduling for Performant, Many-Core Belief Propagation. - Ruud van Deursen, Guillaume Godin:
Deep Generative Model for Sparse Graphs using Text-Based Learning with Augmentation in Generative Examination Networks. - Joan Serrà, David Álvarez, Vicenç Gómez, Olga Slizovskaia, José F. Núñez, Jordi Luque:
Input complexity and out-of-distribution detection with likelihood-based generative models. - Chaim Baskin, Brian Chmiel, Evgenii Zheltonozhskii, Ron Banner, Alexander M. Bronstein, Avi Mendelson:
CAT: Compression-Aware Training for bandwidth reduction. - Emma Fitzgerald, Michal Pióro:
Efficient Pilot Allocation for URLLC Traffic in 5G Industrial IoT Networks. - Jordan Ott, Erik Linstead, Nicholas LaHaye, Pierre Baldi:
Learning in the Machine: To Share or Not to Share? - Mingyue Shang, Piji Li, Zhenxin Fu, Lidong Bing, Dongyan Zhao, Shuming Shi, Rui Yan:
Semi-supervised Text Style Transfer: Cross Projection in Latent Space. - Austin R. Coffman, Neil Cammardella, Prabir Barooah, Sean P. Meyn:
Aggregate capacity of TCLs with cycling constraints. - Matthew Willetts, Stephen J. Roberts, Chris C. Holmes:
Disentangling to Cluster: Gaussian Mixture Variational Ladder Autoencoders. - (Withdrawn) Improve Language Modelling for Code Completion through Statement Level Language Model based on Statement Embedding Generated by BiLSTM.
- Matthew Willetts, Alexander Camuto, Stephen J. Roberts, Chris C. Holmes:
Regularising Deep Networks with DGMs. - Neelanjan Bhowmik, Qian Wang, Yona Falinie A. Gaus, Marcin Szarek, Toby P. Breckon:
The Good, the Bad and the Ugly: Evaluating Convolutional Neural Networks for Prohibited Item Detection Using Real and Synthetically Composited X-ray Imagery. - Sergey I. Nikolenko:
Synthetic Data for Deep Learning. - Tianyu Pang, Kun Xu, Jun Zhu:
Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks. - Zongxin Yang, Linchao Zhu, Yu Wu, Yi Yang:
Gated Channel Transformation for Visual Recognition. - Chris Mingard, Joar Skalse, Guillermo Valle Pérez, David Martínez-Rubio, Vladimir Mikulik, Ard A. Louis:
Neural networks are a priori biased towards Boolean functions with low entropy. - Xianxu Hou, Jingxin Liu, Bolei Xu, Bozhi Liu, Xin Chen, Mohammad Ilyas, Ian O. Ellis, Jon Garibaldi, Guoping Qiu:
Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation. - Lei-Hong Zhang, Li Wang, Zhaojun Bai, Ren-Cang Li:
A Self-consistent-field Iteration for Orthogonal Canonical Correlation Analysis. - (Withdrawn) Context-Aware Decentralized Invariant Signaling for Opportunistic Communications.
- Xiao Huang, Li Dong, Elizabeth Boschee, Nanyun Peng:
Learning A Unified Named Entity Tagger From Multiple Partially Annotated Corpora For Efficient Adaptation. - Ali Alizadeh, Majid Moghadam, Yunus Bicer, Nazim Kemal Ure, Muharrem Ugur Yavas, Can Kurtulus:
Automated Lane Change Decision Making using Deep Reinforcement Learning in Dynamic and Uncertain Highway Environment. - Gabriel Ryan, Justin Wong, Jianan Yao, Ronghui Gu, Suman Jana:
CLN2INV: Learning Loop Invariants with Continuous Logic Networks. - Alexander Koryagin, Roman Khudorozhkov, Sergey Tsimfer:
PyDEns: a Python Framework for Solving Differential Equations with Neural Networks. - Alix Lhéritier:
PCMC-Net: Feature-based Pairwise Choice Markov Chains. - Chuan-Chi Lai, Li-Chun Wang, Zhu Han:
Data-Driven 3D Placement of UAV Base Stations for Arbitrarily Distributed Crowds. - Angela Fan, Edouard Grave, Armand Joulin:
Reducing Transformer Depth on Demand with Structured Dropout. - Avi Cohen, David Peleg:
Hotelling Games with Random Tolerance Intervals. - Kung-Ching Lin:
Three Dimensional Sums of Character Gabor Systems. - Zhijin Qin, Xiangwei Zhou, Lin Zhang, Yue Gao, Ying-Chang Liang, Geoffrey Ye Li:
20 Years of Evolution from Cognitive to Intelligent Communications. - Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
Discovering Process Models from Uncertain Event Data. - Andrea Aspri, Yury Korolev, Otmar Scherzer:
Data driven regularization by projection. - Dar Gilboa, Guy Gur-Ari:
Wider Networks Learn Better Features. - Thanh Thi Nguyen, Cuong M. Nguyen, Dung Tien Nguyen, Duc Thanh Nguyen, Saeid Nahavandi:
Deep Learning for Deepfakes Creation and Detection. - Karsten Roth, Biagio Brattoli, Björn Ommer:
MIC: Mining Interclass Characteristics for Improved Metric Learning. - Karin Stacke, Gabriel Eilertsen, Jonas Unger, Claes Lundström:
A Closer Look at Domain Shift for Deep Learning in Histopathology. - Panagiotis Charalampopoulos, Tomasz Kociumaka, Manal Mohamed, Jakub Radoszewski, Wojciech Rytter, Tomasz Walen:
Internal Dictionary Matching. - Yu Guang Wang, Ming Li, Zheng Ma, Guido Montúfar, Xiaosheng Zhuang, Yanan Fan:
HaarPooling: Graph Pooling with Compressive Haar Basis. - Alessandro Valentini, Andrea Micheli, Alessandro Cimatti:
Temporal Planning with Intermediate Conditions and Effects. - Simon Schmitt, Matteo Hessel, Karen Simonyan:
Off-Policy Actor-Critic with Shared Experience Replay. - Ziliang Chen, Zhanfu Yang:
Graph Neural Reasoning May Fail in Certifying Boolean Unsatisfiability. - Soujanya Ponnapalli, Aashaka Shah, Amy Tai, Souvik Banerjee, Vijay Chidambaram, Dahlia Malkhi, Michael Wei:
Scalable and Efficient Data Authentication for Decentralized Systems. - Lim Zun Yuan, Mohammadhosein Hasanbeig, Alessandro Abate, Daniel Kroening:
Modular Deep Reinforcement Learning with Temporal Logic Specifications. - Soumajyoti Sarkar, Mohammad Almukaynizi, Jana Shakarian, Paulo Shakarian:
Mining user interaction patterns in the darkweb to predict enterprise cyber incidents. - David A. Basin, Felix Klaedtke, Eugen Zalinescu:
Runtime Verification over Out-of-order Streams. - Haoran Peng, Chao Chen, Chuan-Chi Lai, Li-Chun Wang, Zhu Han:
A Predictive On-Demand Placement of UAV Base Stations Using Echo State Network. - Sayan Bhattacharya, Monika Henzinger, Danupon Nanongkai:
A New Deterministic Algorithm for Dynamic Set Cover. - Yoshimichi Nakatsuka, Andrew Paverd, Gene Tsudik:
PDoT: Private DNS-over-TLS with TEE Support. - Xudong Liu, Christian Fritz, Matthew Klenk:
An Extensible and Personalizable Multi-Modal Trip Planner. - Tao Guo, Ruida Zhou, Chao Tian:
On the Information Leakage in Private Information Retrieval Systems. - Luka Grubisic, Harri Hakula, Mikael Laaksonen:
Stochastic collocation method for computing eigenspaces of parameter-dependent operators. - Carl Allen, Ivana Balazevic, Timothy M. Hospedales:
On Understanding Knowledge Graph Representation. - Ching-Yuan Bai, Buo-Fu Chen, Hsuan-Tien Lin:
Attention-based Deep Tropical Cyclone Rapid Intensification Prediction. - Erva Ulu, Nurcan Gecer Ulu, Walter Hsiao, Saigopal Nelaturi:
Manufacturability Oriented Model Correction and Build Direction Optimization for Additive Manufacturing. - Károly Zsolnai-Fehér, Peter Wonka, Michael Wimmer:
Photorealistic Material Editing Through Direct Image Manipulation. - Shujie Cui, Xiangfu Song, Muhammad Rizwan Asghar, Steven D. Galbraith, Giovanni Russello:
Privacy-preserving Searchable Databases with Controllable Leakage. - (Withdrawn) αα-Rank: Scalable Multi-agent Evaluation through Evolution.
- Kristian Debrabant, Anne Kværnø, Nicky Cordua Mattsson:
Runge-Kutta Lawson schemes for stochastic differential equations. - Thanh Le, Vasant G. Honavar:
The Dynamical Gaussian Process Latent Variable Model in the Longitudinal Scenario. - Haytham H. Elmousalami:
Comparison of Artificial Intelligence Techniques for Project Conceptual Cost Prediction. - Michael Ahn, Henry Zhu, Kristian Hartikainen, Hugo Ponte, Abhishek Gupta, Sergey Levine, Vikash Kumar:
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots. - Dimitri A. Schreiber, Florian Richter, Andrew Bilan, Peter V. Gavrilov, Casey H. Price, Kalind C. Carpenter, Michael C. Yip:
ARCSnake: An Archimedes' Screw-Propelled, Reconfigurable Robot Snake for Complex Environments. - (Withdrawn) An Improvement Over Threads Communications on Multi-Core Processors.
- Mikolaj Binkowski, Jeff Donahue, Sander Dieleman, Aidan Clark, Erich Elsen, Norman Casagrande, Luis C. Cobo, Karen Simonyan:
High Fidelity Speech Synthesis with Adversarial Networks. - David Byrd:
Explaining Agent-Based Financial Market Simulation. - Manuel Pérez-Carrasco, Guillermo Cabrera-Vives, Pavlos Protopapas, Nicolas Astorga, Marouan Belhaj:
Adversarial Variational Domain Adaptation. - Anusha Nagabandi, Kurt Konolige, Sergey Levine, Vikash Kumar:
Deep Dynamics Models for Learning Dexterous Manipulation. - Jeremy Epps, Eric Feron, Mark Mote:
Modeling and Experimental Validation of the Mechanics of a Wheeled Non-Holonomic Robot Capable of Enabling Homeostasis. - AkshatKumar Nigam, Pascal Friederich, Mario Krenn, Alán Aspuru-Guzik:
Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space. - Tristan Bepler, Ellen D. Zhong, Kotaro Kelley, Edward Brignole, Bonnie Berger:
Explicitly disentangling image content from translation and rotation with spatial-VAE. - Jinsung Yoon, Sercan Ömer Arik, Tomas Pfister:
Data Valuation using Reinforcement Learning. - Sanqiang Zhao, Raghav Gupta, Yang Song, Denny Zhou:
Extreme Language Model Compression with Optimal Subwords and Shared Projections. - Pablo Barceló, Nelson Higuera, Jorge Pérez, Bernardo Subercaseaux:
On the Expressiveness of LARA: A Unified Language for Linear and Relational Algebra. - Sinan G. Aksoy, Paul J. Bruillard, Stephen J. Young, Mark Raugas:
Ramanujan Graphs and the Spectral Gap of Supercomputing Topologies. - Andrew Rosenberg, Yu Zhang, Bhuvana Ramabhadran, Ye Jia, Pedro J. Moreno, Yonghui Wu, Zelin Wu:
Speech Recognition with Augmented Synthesized Speech. - Claudius Gros:
A generic framework for task selection driven by synthetic emotions. - Luka Stanisic, Klaus Reuter:
MPCDF HPC Performance Monitoring System: Enabling Insight via Job-Specific Analysis. - Minjun Kim, Hiroki Sayama:
The Power of Communities: A Text Classification Model with Automated Labeling Process Using Network Community Detection. - Yunjie Yi, Guang Gong:
Implementation of three LWC Schemes in the WiFi 4-Way Handshake with Software Defined Radio. - Qingchun Hou, Ning Zhang, Ershun Du, Miao Miao, Fei Peng, Chongqing Kang:
Probabilistic duck curve in high PV penetration power system: Concept, modeling, and empirical analysis in China. - Vikas Verma, Meng Qu, Alex Lamb, Yoshua Bengio, Juho Kannala, Jian Tang:
GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning. - Denis Belomestny, Lukasz Szpruch, Shuren Tan:
Iterative Multilevel density estimation for McKean-Vlasov SDEs via projections. - Tianshi Cao, Marc T. Law, Sanja Fidler:
A Theoretical Analysis of the Number of Shots in Few-Shot Learning. - Li Yuan, Francis E. H. Tay, Guilin Li, Tao Wang, Jiashi Feng:
Revisit Knowledge Distillation: a Teacher-free Framework. - Jan Vybíral:
A variant of Schur's product theorem and its applications. - Andrew Hundt, Benjamin Killeen, Heeyeon Kwon, Chris Paxton, Gregory D. Hager:
"Good Robot!": Efficient Reinforcement Learning for Multi-Step Visual Tasks via Reward Shaping. - Oran Shayer, Michael Lindenbaum:
Learning Pixel Representations for Generic Segmentation. - Jian Yang, Christian Poellabauer, Pramita Mitra, Cynthia Neubecker:
Beyond Beaconing: Emerging Applications and Challenges of BLE. - Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy, Faisal Ahmed, Zhe Gan, Yu Cheng, Jingjing Liu:
UNITER: Learning UNiversal Image-TExt Representations. - Anup Bhattacharya, Dishant Goyal, Ragesh Jaiswal, Amit Kumar:
Streaming PTAS for Binary 𝓁0-Low Rank Approximation. - Kieran Woodward, Eiman Kanjo, David J. Brown:
Challenges of Designing and Developing Tangible Interfaces for Mental Well-being. - Gustavo Berumen, Joel E. Fischer, Anthony Brown, Martin Baumers:
Finding Design Opportunities for Smartness in Consumer Packaged Goods. - Wei Cai, Xiaoguang Li, Lizuo Liu:
A Phase Shift Deep Neural Network for High Frequency Wave Equations in Inhomogeneous Media. - Chang Liu, Yanan Xu, Yanmin Zhu:
ALCNN: Attention-based Model for Fine-grained Demand Inference of Dock-less Shared Bike in New Cities. - Derek Schafer, Sheikh K. Ghafoor, Daniel J. Holmes, Martin Ruefenacht, Anthony Skjellum:
Extending the Message Passing Interface (MPI) with User-Level Schedules. - Yunhui Guo, Mingrui Liu, Tianbao Yang, Tajana Rosing:
Learning with Long-term Remembering: Following the Lead of Mixed Stochastic Gradient. - Chen Zhu, Yu Cheng, Zhe Gan, Siqi Sun, Tom Goldstein, Jingjing Liu:
FreeLB: Enhanced Adversarial Training for Language Understanding. - Jiahao Chen, Hang Li, Wenxin Wang, Wenbiao Ding, Gale Yan Huang, Zitao Liu:
A Multimodal Alerting System for Online Class Quality Assurance. - Qiaoning Zhang, Connor Esterwood, X. Jessie Yang, Lionel P. Robert Jr.:
An Automated Vehicle (AV) like Me? The Impact of Personality Similarities and Differences between Humans and AVs. - Awais Khan Jumani, Anware Ali Sanjrani, Fida Hussain Khoso, Mashooque Ahmed Memon, Mumtaz Hussain Mahar, Vishal Kumar:
Generic Framework of Knowledge-Based Learning: Designing and Deploying of Web Application. - Zhuolun Xiang, Bolin Ding, Xi He, Jingren Zhou:
Design of Algorithms under Policy-Aware Local Differential Privacy: Utility-Privacy Trade-offs. - John Palowitch, Bryan Perozzi:
MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training Unit. - Jo Schlemper, Jinming Duan, Cheng Ouyang, Chen Qin, Jose Caballero, Joseph V. Hajnal, Daniel Rueckert:
Data consistency networks for (calibration-less) accelerated parallel MR image reconstruction. - Ronan Perry, Tyler M. Tomita, Jesse Patsolic, Benjamin Falk, Joshua T. Vogelstein:
Manifold Forests: Closing the Gap on Neural Networks. - Yi Shi, Kemal Davaslioglu, Yalin E. Sagduyu, William C. Headley, Michael Fowler, Gilbert Green:
Deep Learning for RF Signal Classification in Unknown and Dynamic Spectrum Environments. - Shusen Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer:
Function Preserving Projection for Scalable Exploration of High-Dimensional Data. - Antonio Ginart, Maxim Naumov, Dheevatsa Mudigere, Jiyan Yang, James Zou:
Mixed Dimension Embeddings with Application to Memory-Efficient Recommendation Systems. - Jiarong Lin, Fu Zhang:
A fast, complete, point cloud based loop closure for LiDAR odometry and mapping. - Farhad Farokhi:
Differential Privacy for Evolving Almost-Periodic Datasets with Continual Linear Queries: Application to Energy Data Privacy. - Andrea Dittadi, Ole Winther:
LAVAE: Disentangling Location and Appearance. - Masoud Badiei Khuzani, Liyue Shen, Shahin Shahrampour, Lei Xing:
A Mean-Field Theory for Kernel Alignment with Random Features in Generative Adversarial Networks. - Yueh-Hua Wu, Ting-Han Fan, Peter J. Ramadge, Hao Su:
Model Imitation for Model-Based Reinforcement Learning. - Lili Wang, Daniel Fullmer, Fengjiao Liu, A. Stephen Morse:
Distributed Control of Linear Multi-Channel Systems. - Jianming Zheng, Fei Cai, Honghui Chen, Maarten de Rijke:
Pre-train, Interact, Fine-tune: A Novel Interaction Representation for Text Classification. - Yu Sun, Eric Tzeng, Trevor Darrell, Alexei A. Efros:
Unsupervised Domain Adaptation through Self-Supervision. - Vitaly Kurin, Saad Godil, Shimon Whiteson, Bryan Catanzaro:
Improving SAT Solver Heuristics with Graph Networks and Reinforcement Learning. - Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini:
Adversarial Deep Embedded Clustering: on a better trade-off between Feature Randomness and Feature Drift. - Chenguang Zhu, Michael Zeng, Xuedong Huang:
SIM: A Slot-Independent Neural Model for Dialogue State Tracking. - Ulrich Aïvodji, Sébastien Gambs, Timon Ther:
GAMIN: An Adversarial Approach to Black-Box Model Inversion. - Rong Ge, Runzhe Wang, Haoyu Zhao:
Mildly Overparametrized Neural Nets can Memorize Training Data Efficiently. - Shushman Choudhury, Kiril Solovey, Mykel J. Kochenderfer, Marco Pavone:
Efficient Large-Scale Multi-Drone Delivery Using Transit Networks. - Lawrence Ong, Badri N. Vellambi, Jörg Kliewer:
Optimal-Rate Characterisation for Pliable Index Coding using Absent Receivers. - Thomas Gurriet, Maegan Tucker, Claudia Kann, Guilhem Boeris, Aaron D. Ames:
Stabilization of Exoskeletons through Active Ankle Compensation. - AbdElRahman ElSaid, Alexander G. Ororbia II, Travis J. Desell:
The Ant Swarm Neuro-Evolution Procedure for Optimizing Recurrent Networks. - Lawrence Ong, Badri N. Vellambi, Jörg Kliewer, Parastoo Sadeghi:
Improved Lower Bounds for Pliable Index Coding using Absent Receivers. - Dennis Lee, Christian Szegedy, Markus N. Rabe, Sarah M. Loos, Kshitij Bansal:
Mathematical Reasoning in Latent Space. - Dai Quoc Nguyen, Tu Dinh Nguyen, Dinh Phung:
Unsupervised Universal Self-Attention Network for Graph Classification. - Yuxian Meng, Xiangyuan Ren, Zijun Sun, Xiaoya Li, Arianna Yuan, Fei Wu, Jiwei Li:
Large-scale Pretraining for Neural Machine Translation with Tens of Billions of Sentence Pairs. - Yi Wang, Zhen-Peng Bian, Junhui Hou, Lap-Pui Chau:
Convolutional Neural Networks with Dynamic Regularization. - Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yang Song, Tao Zhang:
Representation Learning with Ordered Relation Paths for Knowledge Graph Completion. - Alessandro Fanfarillo, Behrooz Roozitalab, Weiming Hu, Guido Cervone:
Probabilistic Forecasting using Deep Generative Models. - Binh D. Nguyen, Thanh-Toan Do, Binh X. Nguyen, Tuong Do, Erman Tjiputra, Quang D. Tran:
Overcoming Data Limitation in Medical Visual Question Answering. - Deirdre K. Mulligan, Joshua A. Kroll, Nitin Kohli, Richmond Y. Wong:
This Thing Called Fairness: Disciplinary Confusion Realizing a Value in Technology. - Tuong Do, Thanh-Toan Do, Huy Tran, Erman Tjiputra, Quang D. Tran:
Compact Trilinear Interaction for Visual Question Answering. - Wei Yang Bryan Lim, Nguyen Cong Luong, Dinh Thai Hoang, Yutao Jiao, Ying-Chang Liang, Qiang Yang, Dusit Niyato, Chunyan Miao:
Federated Learning in Mobile Edge Networks: A Comprehensive Survey. - Shay Vargaftik, Isaac Keslassy, Yaniv Ben-Itzhak:
RADE: Resource-Efficient Supervised Anomaly Detection Using Decision Tree-Based Ensemble Methods. - (Withdrawn) Aspect and Opinion Term Extraction for Aspect Based Sentiment Analysis of Hotel Reviews Using Transfer Learning.
- Shin-Fang Ch'ng, Naoya Sogi, Pulak Purkait, Tat-Jun Chin, Kazuhiro Fukui:
Resolving Marker Pose Ambiguity by Robust Rotation Averaging with Clique Constraints. - Ashish Kumar Tripathi, Kapil Sharma, Manju Bala:
Military Dog Based Optimizer and its Application to Fake Review. - Elisa C. Baek, Mason A. Porter, Carolyn Parkinson:
Social Network Analysis for Social Neuroscientists. - Xueting Li, Sifei Liu, Shalini De Mello, Xiaolong Wang, Jan Kautz, Ming-Hsuan Yang:
Joint-task Self-supervised Learning for Temporal Correspondence. - Hongchao Zhao, Zhe Liu, Zhiqiang Li, Shunbo Zhou, Wen Chen, Chuanzhe Suo, Yun-Hui Liu:
Modelling and Dynamic Tracking Control of Industrial Vehicles with Tractor-trailer Structure. - Hong Wang, Christfried Focke, Rob Sylvester, Nilesh Mishra, William Yang Wang:
Fine-tune Bert for DocRED with Two-step Process. - Jie Song, Yixin Chen, Xinchao Wang, Chengchao Shen, Mingli Song:
Deep Model Transferability from Attribution Maps. - Tengyu Xu, Shaofeng Zou, Yingbin Liang:
Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples. - Chang-Le Liu, Szu-Wei Fu, You-Jin Lee, Yu Tsao, Jen-Wei Huang, Hsin-Min Wang:
Multichannel Speech Enhancement by Raw Waveform-mapping using Fully Convolutional Networks. - Natalie Yu-Hsien Wang, Hsiao-Lan Sharon Wang, Taowei Wang, Szu-Wei Fu, Xugang Lu, Yu Tsao, Hsin-Min Wang:
Improving the Intelligibility of Electric and Acoustic Stimulation Speech Using Fully Convolutional Networks Based Speech Enhancement. - Haseeb Nazki, Sook Yoon, Alvaro Fuentes, Dong Sun Park:
Unsupervised Image Translation using Adversarial Networks for Improved Plant Disease Recognition. - Rung-Yu Tseng, Taowei Wang, Szu-Wei Fu, Yu Tsao, Chia-Ying Lee:
Seeing Voices in Noise: A Study of Audiovisual-Enhanced Vocoded Speech Intelligibility in Cochlear Implant Simulation. - Guilin Li, Xing Zhang, Zitong Wang, Zhenguo Li, Tong Zhang:
StacNAS: Towards stable and consistent optimization for differentiable Neural Architecture Search. - Philip Bille, Inge Li Gørtz, Teresa Anna Steiner:
String Indexing with Compressed Patterns. - (Withdrawn) Adaptive Class Weight based Dual Focal Loss for Improved Semantic Segmentation.
- Yukun Zhou, Zailiang Chen, Hailan Shen, Peng Peng, Ziyang Zeng, Xianxian Zheng:
A Symmetric Equilibrium Generative Adversarial Network with Attention Refine Block for Retinal Vessel Segmentation. - Huapeng Wu, Zhengxia Zou, Jie Gui, Wen-Jun Zeng, Jieping Ye, Jun Zhang, Hongyi Liu, Zhihui Wei:
Multi-grained Attention Networks for Single Image Super-Resolution. - Yannis Flet-Berliac, Philippe Preux:
High-Dimensional Control Using Generalized Auxiliary Tasks. - Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, Radu Soricut:
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations. - Olly Styles, Tanaya Guha, Victor Sanchez:
Multiple Object Forecasting: Predicting Future Object Locations in Diverse Environments. - Doyen Sahoo, Hao Wang, Shu Ke, Xiongwei Wu, Hung Le, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi:
FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging. - Xi Cheng, Zhenyong Fu, Jian Yang:
Multi-scale Dynamic Feature Encoding Network for Image Demoireing. - Sheng Wan, Chen Gong, Ping Zhong, Shirui Pan, Guangyu Li, Jian Yang:
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network. - Jelena Fiosina, Maksims Fiosins, Stefan Bonn:
Explainable Deep Learning for Augmentation of sRNA Expression Profiles. - Haoran You, Chaojian Li, Pengfei Xu, Yonggan Fu, Yue Wang, Xiaohan Chen, Yingyan Lin, Zhangyang Wang, Richard G. Baraniuk:
Drawing early-bird tickets: Towards more efficient training of deep networks. - Sean Choi, Muhammad Shahbaz, Balaji Prabhakar, Mendel Rosenblum:
λ-NIC: Interactive Serverless Compute on Programmable SmartNICs. - Stefano Cipolla, Michela Redivo-Zaglia, Francesco Tudisco:
Shifted and extrapolated power methods for tensor 𝓁p-eigenpairs. - Xiaojun Hu, Miao Kang, Weilin Huang, Matthew R. Scott, Roland Wiest, Mauricio Reyes:
Dual-Stream Pyramid Registration Network. - Ze Yang, Wei Wu, Jian Yang, Can Xu, Zhoujun Li:
Low-Resource Response Generation with Template Prior. - Klaus Jansen, Alexandra Lassota, Marten Maack:
Approximation Algorithms for Scheduling with Class Constraints. - Woo-han Yun, Jaeyeon Lee, Jaehong Kim, Junmo Kim:
Balancing Domain Gap for Object Instance Detection. - Ze Yang, Can Xu, Wei Wu, Zhoujun Li:
Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation. - Jianwen Xie, Song-Chun Zhu, Ying Nian Wu:
Learning Energy-based Spatial-Temporal Generative ConvNets for Dynamic Patterns. - Patrik Reizinger, Bálint Gyires-Tóth:
Stochastic Weight Matrix-based Regularization Methods for Deep Neural Networks. - Lina Maria Rojas-Barahona, Pascal Bellec, Benoit Besset, Martinho Dos-Santos, Johannes Heinecke, Munshi Asadullah, Olivier Le Blouch, Jean Y. Lancien, Géraldine Damnati, Emmanuel Mory, Frédéric Herledan:
Spoken Conversational Search for General Knowledge. - Qingbo Wu, Lei Wang, King N. Ngan, Hongliang Li, Fanman Meng:
Subjective and Objective De-raining Quality Assessment Towards Authentic Rain Image. - Yidi Wu, Kaihao Ma, Xiao Yan, Zhi Liu, James Cheng:
Elastic deep learning in multi-tenant GPU cluster. - Jiaying Yang, Ahsan Javed Awan, Gemma Vall-Llosera:
Support Vector Machines on Noisy Intermediate Scale Quantum Computers. - Ewa Andrejczuk, Filippo Bistaffa, Christian Blum, Juan A. Rodríguez-Aguilar, Carles Sierra:
Synergistic Team Composition: A Computational Approach to Foster Diversity in Teams. - Dominik Klein:
The Stroke Correspondence Problem, Revisited. - Fabien Baradel, Natalia Neverova, Julien Mille, Greg Mori, Christian Wolf:
COPHY: Counterfactual Learning of Physical Dynamics. - Peter Chini, Roland Meyer, Prakash Saivasan:
Complexity of Liveness in Parameterized Systems. - Masoud Fetanat, Michael C. Stevens, Christopher Hayward, Nigel Hamilton Lovell:
A Physiological Control System for an Implantable Heart Pump that Accommodates for Interpatient and Intrapatient Variations. - Swagata Duari, Vasudha Bhatnagar:
Complex Network based Supervised Keyword Extractor. - Alberto Poncelas, Andy Way:
Selecting Artificially-Generated Sentences for Fine-Tuning Neural Machine Translation. - Walter Cedric Simo Tao Lee:
A new regularization method for linear exponentially ill-posed problems. - Stefan Hougardy, Fabian Zaiser, Xianghui Zhong:
The Approximation Ratio of the 2-Opt Heuristic for the Metric Traveling Salesman Problem. - Ruoxi Yu, Samuel L. Charreyron, Quentin Boehler, Cameron Weibel, Carmen C. Y. Poon, Bradley J. Nelson:
Modeling Electromagnetic Navigation Systems for Medical Applications using Random Forests and Artificial Neural Networks. - Moustafa Ebada, Ahmed Elkelesh, Stephan ten Brink:
Optimizing Polar Codes Compatible with Off-the-Shelf LDPC Decoders. - Hong Liu, Mingsheng Long, Jianmin Wang, Michael I. Jordan:
Towards Understanding the Transferability of Deep Representations. - Mieczyslaw A. Klopotek, Slawomir T. Wierzchon:
Query Optimization Properties of Modified VBS. - Thomas Probst, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool:
Convex Relaxations for Consensus and Non-Minimal Problems in 3D Vision. - Moustafa Ebada, Sebastian Cammerer, Ahmed Elkelesh, Stephan ten Brink:
Deep Learning-based Polar Code Design. - Jianqiang Wang, Hao Zhu, Zhan Ma, Tong Chen, Haojie Liu, Qiu Shen:
Learned Point Cloud Geometry Compression. - Qimai Li, Xiaotong Zhang, Han Liu, Xiao-Ming Wu:
Attributed Graph Learning with 2-D Graph Convolution. - Sándor Kisfaludi-Bak, Dániel Marx, Tom C. van der Zanden:
How does object fatness impact the complexity of packing in d dimensions? - Max Argus, Cornelia Schaefer-Prokop, David A. Lynch, Bram van Ginneken:
Function Follows Form: Regression from Complete Thoracic Computed Tomography Scans. - Daniel Gissin, Shai Shalev-Shwartz, Amit Daniely:
The Implicit Bias of Depth: How Incremental Learning Drives Generalization. - Alexis Stoven-Dubois, János Botzheim, Naoyuki Kubota:
Fuzzy Gesture Expression Model for an Interactive and Safe Robot Partner. - Erik J. Bekkers:
B-Spline CNNs on Lie Groups. - Qi Deng:
Artificial Intelligence BlockCloud (AIBC) Technical Whitepaper. - Max Horn, Michael Moor, Christian Bock, Bastian Rieck, Karsten M. Borgwardt:
Set Functions for Time Series. - Jan Deriu, Mark Cieliebak:
Towards a Metric for Automated Conversational Dialogue System Evaluation and Improvement. - Wojciech Samek, Klaus-Robert Müller:
Towards Explainable Artificial Intelligence. - Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty:
Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control. - Hongliang Dai, Donghong Du, Xin Li, Yangqiu Song:
Improving Fine-grained Entity Typing with Entity Linking. - Luca Coviello, Marco Cristoforetti, Giuseppe Jurman, Cesare Furlanello:
In-field grape berries counting for yield estimation using dilated CNNs. - Jun Quan, Deyi Xiong, Bonnie Webber, Changjian Hu:
GECOR: An End-to-End Generative Ellipsis and Co-reference Resolution Model for Task-Oriented Dialogue. - Thang Bui, Scott D. Stoller:
A Decision Tree Learning Approach for Mining Relationship-Based Access Control Policies. - Gonzalo Martínez-Muñoz:
Sequential Training of Neural Networks with Gradient Boosting. - Jonathan Vestin, Andreas Kassler, Deval Bhamare, Karl-Johan Grinnemo, Jan-Olof Andersson, Gergely Pongrácz:
Programmable Event Detection for In-Band Network Telemetry. - Kaleb Alway, Eric Blais, Semih Salihoglu:
Box Covers and Domain Orderings for Beyond Worst-Case Join Processing. - Blai Bonet, Hector Geffner:
Action Selection for MDPs: Anytime AO* vs. UCT. - Avraam Chatzimichailidis, Franz-Josef Pfreundt, Nicolas R. Gauger, Janis Keuper:
GradVis: Visualization and Second Order Analysis of Optimization Surfaces during the Training of Deep Neural Networks. - Jianhang Zhou, Shaoning Zeng, Bob Zhang:
Two-stage Image Classification Supervised by a Single Teacher Single Student Model. - Leila Arras, Jose A. Arjona-Medina, Michael Widrich, Grégoire Montavon, Michael Gillhofer, Klaus-Robert Müller, Sepp Hochreiter, Wojciech Samek:
Explaining and Interpreting LSTMs. - Byeongsu Sim, Gyutaek Oh, Sungjun Lim, Jong Chul Ye:
Optimal Transport, CycleGAN, and Penalized LS for Unsupervised Learning in Inverse Problems. - Mingzhu Shen, Xianglong Liu, Kai Han, Ruihao Gong, Yunhe Wang, Chang Xu:
Balanced Binary Neural Networks with Gated Residual. - Shifeng Zhang, Yiliang Xie, Jun Wan, Hansheng Xia, Stan Z. Li, Guodong Guo:
WiderPerson: A Diverse Dataset for Dense Pedestrian Detection in the Wild. - Eren Balevi, Jeffrey G. Andrews:
Autoencoder-Based Error Correction Coding for One-Bit Quantization. - Oleksandr Shchur, Marin Bilos, Stephan Günnemann:
Intensity-Free Learning of Temporal Point Processes. - Christina Niklaus, André Freitas, Siegfried Handschuh:
MinWikiSplit: A Sentence Splitting Corpus with Minimal Propositions. - Blai Bonet, Giuseppe De Giacomo, Hector Geffner, Sasha Rubin:
Generalized Planning: Non-Deterministic Abstractions and Trajectory Constraints. - Thomas N. Haider, Steffen Eger:
Semantic Change and Emerging Tropes In a Large Corpus of New High German Poetry. - Christina Niklaus, Matthias Cetto, André Freitas, Siegfried Handschuh:
DisSim: A Discourse-Aware Syntactic Text Simplification Frameworkfor English and German. - Florian Pommerening, Malte Helmert, Blai Bonet:
Higher-Dimensional Potential Heuristics for Optimal Classical Planning. - Pavel Kirsanov, Airat Gaskarov, Filipp Konokhov, Konstantin Sofiiuk, Anna Vorontsova, Igor Slinko, Dmitry Zhukov, Sergey Bykov, Olga Barinova, Anton Konushin:
DISCOMAN: Dataset of Indoor SCenes for Odometry, Mapping And Navigation. - Kévin Perrot, Enrico Formenti:
How hard is it to predict sandpiles on lattices? A survey. - Hermann Kaindl, Jonas Ferdigg:
Superintelligence Safety: A Requirements Engineering Perspective. - Andreas Folkers, Matthias Rick, Christof Büskens:
Controlling an Autonomous Vehicle with Deep Reinforcement Learning. - Mihee Lee, Ognjen Rudovic, Vladimir Pavlovic, Maja Pantic:
Fast and Effective Adaptation of Facial Action Unit Detection Deep Model. - Mohamad Dia, Elodie Savary, Martin Melchior, Frederic Courbin:
Galaxy Image Simulation Using Progressive GANs. - Salah-ud-din Farooq, Muhammad Usama, Junaid Qadir, Muhammad Ali Imran:
Adversarial ML Attack on Self Organizing Cellular Networks. - Sameer Khurana, Ahmed Ali, James R. Glass:
DARTS: Dialectal Arabic Transcription System. - Conor Finn, Joseph T. Lizier:
Generalised Measures of Multivariate Information Content. - Muhammad Usama, Muhammad Asim, Junaid Qadir, Ala I. Al-Fuqaha, Muhammad Ali Imran:
Adversarial Machine Learning Attack on Modulation Classification. - Emmanuel Abbe, Sophie Spirkl:
Entropic matroids and their representation. - Alexander Meinke, Matthias Hein:
Towards neural networks that provably know when they don't know. - Sumsam Ullah Khan, Ahsan Javed Awan, Gemma Vall-Llosera:
K-Means Clustering on Noisy Intermediate Scale Quantum Computers. - Regis Antonio Saraiva Albuquerque, Albert Franca Josua Costa, Eulanda Miranda dos Santos, Robert Sabourin, Rafael Giusti:
A Decision-Based Dynamic Ensemble Selection Method for Concept Drift. - Paul Breiding, Nick Vannieuwenhoven:
A theory of condition for unconstrained perturbations. - Bin Han, Michelle Michelle, Yau Shu Wong:
Wavelet-based Methods for Numerical Solutions of Differential Equations. - Victor Eijkhout, Margaret Myers, John D. McCalpin:
Appearances of the Birthday Paradox in High Performance Computing. - Jochen Gast, Stefan Roth:
Deep Video Deblurring: The Devil is in the Details. - Pierre-Yves Lajoie, Benjamin Ramtoula, Yun Chang, Luca Carlone, Giovanni Beltrame:
DOOR-SLAM: Distributed, Online, and Outlier Resilient SLAM for Robotic Teams. - Serkan Cabi, Sergio Gómez Colmenarejo, Alexander Novikov, Ksenia Konyushkova, Scott E. Reed, Rae Jeong, Konrad Zolna, Yusuf Aytar, David Budden, Mel Vecerík, Oleg Sushkov, David Barker, Jonathan Scholz, Misha Denil, Nando de Freitas, Ziyu Wang:
A Framework for Data-Driven Robotics. - Oleksandr Shchur, Stephan Günnemann:
Overlapping Community Detection with Graph Neural Networks. - Grégoire Morin, Ryan Razani, Vahid Partovi Nia, Eyyüb Sari:
Smart Ternary Quantization. - Catalin Zorila, Christoph Böddeker, Rama Doddipatla, Reinhold Haeb-Umbach:
An Investigation into the Effectiveness of Enhancement in ASR Training and Test for CHiME-5 Dinner Party Transcription. - Abdurrahman Yasar, Ümit V. Çatalyürek:
Heuristics for Symmetric Rectilinear Matrix Partitioning. - Emil Jerábek:
On the complexity of the clone membership problem. - Genevieve Flaspohler, Victoria Preston, Anna P. M. Michel, Yogesh A. Girdhar, Nicholas Roy:
Information-Guided Robotic Maximum Seek-and-Sample in Partially Observable Continuous Environments. - Yulin Wang, Xuran Pan, Shiji Song, Hong Zhang, Cheng Wu, Gao Huang:
Implicit Semantic Data Augmentation for Deep Networks. - Aditya K. Kamath, Leslie Monis, A. Tarun Karthik, Basavaraj Talawar:
Storage Class Memory: Principles, Problems, and Possibilities. - Lingxiao Zhao, Leman Akoglu:
PairNorm: Tackling Oversmoothing in GNNs. - Wen Liu, Zhixin Piao, Jie Min, Wenhan Luo, Lin Ma, Shenghua Gao:
Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis. - Wei Hao Khoong:
A Heuristic for Efficient Reduction in Hidden Layer Combinations For Feedforward Neural Networks. - Jialin Liu, Fei Chao, Yu-Chen Lin, Chih-Min Lin:
Stock Prices Prediction using Deep Learning Models. - Ameya D. Jagtap, Kenji Kawaguchi, George E. Karniadakis:
Locally adaptive activation functions with slope recovery term for deep and physics-informed neural networks. - Avinash Swaminathan, Raj Kuwar Gupta, Haimin Zhang, Debanjan Mahata, Rakesh Gosangi, Rajiv Ratn Shah:
Keyphrase Generation for Scientific Articles using GANs. - Aditya Saligrama:
KnowBias: Detecting Political Polarity in Long Text Content. - Diego Antognini, Boi Faltings:
Learning to Create Sentence Semantic Relation Graphs for Multi-Document Summarization. - Sebastian P. Bayerl, Korbinian Riedhammer:
A Comparison of Hybrid and End-to-End Models for Syllable Recognition. - Wenjun Liao, Chenghua Lin:
Deep Ensemble Learning for News Stance Detection. - Eloy Romero, Andreas Stathopoulos, Kostas Orginos:
Multigrid deflation for Lattice QCD. - Matteo Tiezzi, Stefano Melacci, Marco Maggini, Angelo Frosini:
Video Surveillance of Highway Traffic Events by Deep Learning Architectures. - Ke Li, Kejun Tang, Tianfan Wu, Qifeng Liao:
D3M: A deep domain decomposition method for partial differential equations. - H. Francis Song, Abbas Abdolmaleki, Jost Tobias Springenberg, Aidan Clark, Hubert Soyer, Jack W. Rae, Seb Noury, Arun Ahuja, Siqi Liu, Dhruva Tirumala, Nicolas Heess, Dan Belov, Martin A. Riedmiller, Matthew M. Botvinick:
V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control. - Atefeh Termehchi, Mehdi Rasti:
Power-efficient Sampling Time and Resource Allocation in Cyber Physical Systems with Industrial Application. - Ze Wang, Sihao Ding, Ying Li, Minming Zhao, Sohini Roychowdhury, Andreas Wallin, Guillermo Sapiro, Qiang Qiu:
Range Adaptation for 3D Object Detection in LiDAR. - Chandrakana Nandi, Adam Anderson, Max Willsey, James R. Wilcox, Eva Darulova, Dan Grossman, Zachary Tatlock:
Using E-Graphs for CAD Parameter Inference. - Yuzhe Yang, Guo Zhang, Zhi Xu, Dina Katabi:
Harnessing Structures for Value-Based Planning and Reinforcement Learning. - Piotr Kawalek, Michael Kompatscher, Jacek Krzaczkowski:
Circuit equivalence in 2-nilpotent algebras. - Martin Cooney, Jacob Pihl, Hanna Larsson, Abbas Orand, Eren Erdal Aksoy:
Exercising with an "Iron Man": Design for a Robot Exercise Coach for Persons with Dementia. - Huixin Zhan, Yongcan Cao:
Relationship Explainable Multi-objective Reinforcement Learning with Semantic Explainability Generation. - Stephen James, Zicong Ma, David Rovick Arrojo, Andrew J. Davison:
RLBench: The Robot Learning Benchmark & Learning Environment. - Arjun Nitin Bhagoji, Daniel Cullina, Prateek Mittal:
Lower Bounds on Adversarial Robustness from Optimal Transport. - Hamdi Joudeh, Xinping Yi, Bruno Clerckx, Giuseppe Caire:
On the Optimality of Treating Inter-Cell Interference as Noise: Downlink Cellular Networks and Uplink-Downlink Duality. - Ezra Zigmond, Stephen Chong, Christos Dimoulas, Scott Moore:
Fine-Grained, Language-Based Access Control for Database-Backed Applications. - Will Crichton:
Human-Centric Program Synthesis. - Mahya Soleimani Jadidi, Mariusz Zaborski, Brian J. Kidney, Jonathan Anderson:
CapExec: Towards Transparently-Sandboxed Services (Extended Version). - Kristian Debrabant, Anne Kværnø, Nicky Cordua Mattsson:
Lawson schemes for highly oscillatory stochastic differential equations and conservation of invariants. - Guangyi Liu, Seyedmohammad Salehi, Erdem Bala, Chien-Chung Shen, Leonard J. Cimini Jr.:
Communication-Constrained Routing and Traffic Control for Autonomous Vehicles. - Qingyun Dou, Yiting Lu, Joshua Efiong, Mark J. F. Gales:
Attention Forcing for Sequence-to-sequence Model Training. - Robert M. Patton, J. Travis Johnston, Steven R. Young, Catherine D. Schuman, Thomas E. Potok, Derek C. Rose, Seung-Hwan Lim, Junghoon Chae, Le Hou, Shahira Abousamra, Dimitris Samaras, Joel H. Saltz:
Exascale Deep Learning to Accelerate Cancer Research. - Ziwei Ji, Matus Telgarsky:
Polylogarithmic width suffices for gradient descent to achieve arbitrarily small test error with shallow ReLU networks. - Fredrik K. Gustafsson, Martin Danelljan, Goutam Bhat, Thomas B. Schön:
DCTD: Deep Conditional Target Densities for Accurate Regression. - Subba Reddy Oota, Naresh Manwani, Raju S. Bapi:
ExpertoCoder: Capturing Divergent Brain Regions Using Mixture of Regression Experts. - Jingwei Ma, Jiahui Wen, Mingyang Zhong, Liangchen Liu, Chaojie Li, Weitong Chen, Yin Yang, Hongkui Tu, Xue Li:
DBRec: Dual-Bridging Recommendation via Discovering Latent Groups. - Kartik Ramkrishnan, Antonia Zhai, Stephen McCamant, Pen-Chung Yew:
New Attacks and Defenses for Randomized Caches. - Maegan Tucker, Ellen R. Novoseller, Claudia Kann, Yanan Sui, Yisong Yue, Joel Burdick, Aaron D. Ames:
Preference-Based Learning for Exoskeleton Gait Optimization. - Anthony M. Bloch, Margarida Camarinha, Leonardo Colombo:
Variational point-obstacle avoidance on Riemannian manifolds. - Tianyu Li, Nathan O. Lambert, Roberto Calandra, Franziska Meier, Akshara Rai:
Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning. - Shahana Ibrahim, Xiao Fu, Nikos Kargas, Kejun Huang:
Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms. - Yuang Jiang, Shiqiang Wang, Bong Jun Ko, Wei-Han Lee, Leandros Tassiulas:
Model Pruning Enables Efficient Federated Learning on Edge Devices. - Xiangyun Meng, Nathan D. Ratliff, Yu Xiang, Dieter Fox:
Scaling Local Control to Large-Scale Topological Navigation. - Josef Dick, Martin Ehler, Manuel Gräf, Christian Krattenthaler:
Spectral decomposition of discrepancy kernels on the Euclidean ball, the special orthogonal group, and the Grassmannian manifold. - Yao Fu, Hao Zhou, Jiaze Chen, Lei Li:
Rethinking Text Attribute Transfer: A Lexical Analysis. - Mark D. Aagaard, Marat Sattarov, Nusa Zidaric:
Hardware Design and Analysis of the ACE and WAGE Ciphers. - Neus Català, Mario Martín:
Coin_flipper at eHealth-KD Challenge 2019: Voting LSTMs for Key Phrases and Semantic Relation Identification Applied to Spanish eHealth Texts. - Niv Giladi, Mor Shpigel Nacson, Elad Hoffer, Daniel Soudry:
At Stability's Edge: How to Adjust Hyperparameters to Preserve Minima Selection in Asynchronous Training of Neural Networks? - Douglas Ellman, Yuanzhang Xiao:
Model Predictive Control-Based Battery Scheduling and Incentives to Manipulate Demand Response Baselines. - Gabriel Istrate, Cosmin Bonchis, Mircea Marin:
Interactive Particle Systems on Hypergraphs, Drift Analysis and the WalkSAT algorithm. - Qingyang Tan, Zherong Pan, Lin Gao, Dinesh Manocha:
Realtime Simulation of Thin-Shell Deformable Materials using CNN-Based Mesh Embedding. - Di Feng, Lars Rosenbaum, Claudius Gläser, Fabian Timm, Klaus Dietmayer:
Can We Trust You? On Calibration of a Probabilistic Object Detector for Autonomous Driving. - Andrea Pozzi, Marcello Torchio, Richard D. Braatz, Davide Martino Raimondo:
Optimal Charging of an Electric Vehicle Battery Pack: A Real-Time Sensitivity-Based MPC approach. - Adityanarayanan Radhakrishnan, Mikhail Belkin, Caroline Uhler:
Overparameterized Neural Networks Can Implement Associative Memory. - Behnam Gholami, Pritish Sahu, Minyoung Kim, Vladimir Pavlovic:
Task-Discriminative Domain Alignment for Unsupervised Domain Adaptation. - Jinsung Yoon, Sercan Ömer Arik, Tomas Pfister:
RL-LIM: Reinforcement Learning-based Locally Interpretable Modeling. - Drew D. Penney, Lizhong Chen:
A Survey of Machine Learning Applied to Computer Architecture Design. - Yi Zhu, Benjamin Heinzerling, Ivan Vulic, Michael Strube, Roi Reichart, Anna Korhonen:
On the Importance of Subword Information for Morphological Tasks in Truly Low-Resource Languages. - Vicent Cholvi, Pawel Garncarek, Tomasz Jurdzinski, Dariusz R. Kowalski:
Packet-oblivious stable routing in multi-hop wireless networks. - Aljawharah Alnasser, Hongjian Sun:
Global Roaming Trust-based Model for V2X Communications. - Yecheng Lyu, Xinming Huang, Ziming Zhang:
Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph Classification using CNNs. - Xuan Wu, Lingxiao Zhao, Leman Akoglu:
A Quest for Structure: Jointly Learning the Graph Structure and Semi-Supervised Classification. - Michael Blondin, Christoph Haase, Filip Mazowiecki, Mikhail A. Raskin:
Affine Extensions of Integer Vector Addition Systems with States. - Egon Lüftenegger, Selver Softic:
Service-Dominant Business Model Financial Validation: Cost-Benefit Analysis with Business Processes and Service- Dominant Business Models. - Moonkyung Ryu, Yinlam Chow, Ross Anderson, Christian Tjandraatmadja, Craig Boutilier:
CAQL: Continuous Action Q-Learning. - Sathya N. Ravi, Abhay Venkatesh, Glenn Moo Fung, Vikas Singh:
Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization offers Significant Performance and Efficiency Gains. - Vladyslav Yushchenko, Nikita Araslanov, Stefan Roth:
Markov Decision Process for Video Generation. - Md Sultan Al Nahian, Tasmia Tasrin, Sagar Gandhi, Ryan Gaines, Brent Harrison:
A Hierarchical Approach for Visual Storytelling Using Image Description. - Xutai Ma, Juan Miguel Pino, James Cross, Liezl Puzon, Jiatao Gu:
Monotonic Multihead Attention. - Yuan Shangguan, Jian Li, Liang Qiao, Raziel Alvarez, Ian McGraw:
Optimizing Speech Recognition For The Edge. - Ashok Thillaisundaram, Theodosia Togia:
Biomedical relation extraction with pre-trained language representations and minimal task-specific architecture. - Jinyu Li, Rui Zhao, Hu Hu, Yifan Gong:
Improving RNN Transducer Modeling for End-to-End Speech Recognition. - Zhiwen Tang, Grace Hui Yang:
Dynamic Search - Optimizing the Game of Information Seeking. - Soroush Aalibagi, Hamidreza Mahyar, Ali Movaghar, Harry Eugene Stanley:
A Matrix Factorization Model for Hellinger-based Trust Management in Social IoT. - Divyansh Kaushik, Eduard H. Hovy, Zachary C. Lipton:
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data. - Ali Marjaninejad, Jie Tan, Francisco J. Valero Cuevas:
Autonomous Control of a Tendon-driven Robotic Limb with Elastic Elements Reveals that Added Elasticity can Enhance Learning. - Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu:
Improving Pre-Trained Multilingual Models with Vocabulary Expansion. - Huaian Diao, Zhao Song, David P. Woodruff, Xin Yang:
Total Least Squares Regression in Input Sparsity Time. - Erico S. P. Lopes, Lukas T. N. Landau:
Optimal Precoding for Multiuser MIMO Systems With Phase Quantization and PSK Modulation via Branch-and-Bound. - (Withdrawn) A Momentum-Based Foot Placement Strategy for Stable Postural Control of Robotic Spring-Mass Running with Point Feet.
- Sin-Han Kang, Honggyu Jung, Seong-Whan Lee:
Interpreting Undesirable Pixels for Image Classification on Black-Box Models. - Hao Wang, Mohammad Reza Amini, Ziyou Song, Jing Sun, Ilya V. Kolmanovsky:
Combined Energy and Comfort Optimization of Air Conditioning System in Connected and Automated Vehicles. - Navid Hashemi, Justin Ruths:
Gain Design via LMIs to Minimize the Impact of Stealthy Attacks. - Scott Ruoti, Benjamin Kaiser, Arkady Yerukhimovich, Jeremy Clark, Robert K. Cunningham:
SoK: Blockchain Technology and Its Potential Use Cases. - Jingru Yi, Pengxiang Wu, Dimitris N. Metaxas:
ASSD: Attentive Single Shot Multibox Detector. - Kevin Zhang, Mohit Sharma, Manuela Veloso, Oliver Kroemer:
Leveraging Multimodal Haptic Sensory Data for Robust Cutting. - Siu Wun Cheung, Eric T. Chung, Wing Tat Leung:
Constraint Energy Minimizing Generalized Multiscale Discontinuous Galerkin Method. - Yuriy V. Pershin, Massimiliano Di Ventra:
Comment on Φ memristor: Real memristor found" by F. Z. Wang, L. Li, L. Shi, H. Wu, and L. O. Chua [J. Appl. Phys 125, 054504 (2019)]. - Hua Huang, Adrian Barbu:
Playing Atari Ball Games with Hierarchical Reinforcement Learning. - Jaqueline J. Brito, Thiago Mosqueiro, Douglas J. Chapski, Juan De la Hoz, Paulo Matias, Lana S. Martin, Matteo Pellegrinni, Serghei Mangul:
Telescope: an interactive tool for managing large scale analysis from mobile devices. - Xiaohui Zeng, Renjie Liao, Li Gu, Yuwen Xiong, Sanja Fidler, Raquel Urtasun:
DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation. - Gaurav Gupta, Anit Kumar Sahu, Wan-Yi Lin:
Learning in Confusion: Batch Active Learning with Noisy Oracle. - Luke Oakden-Rayner, Jared Dunnmon, Gustavo Carneiro, Christopher Ré:
Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging. - Mingjie Sun, Jimin Xiao, Eng Gee Lim, Yanchun Xie, Jiashi Feng:
Adaptive ROI Generation for Video Object Segmentation Using Reinforcement Learning. - Xiting Zhao, Zhijie Yang, Sören Schwertfeger:
Mapping with Reflection - Detection and Utilization of Reflection in 3D Lidar Scans. - Fu-Ming Guo, Sijia Liu, Finlay S. Mungall, Xue Lin, Yanzhi Wang:
Reweighted Proximal Pruning for Large-Scale Language Representation. - Yihan Jiang, Jakub Konecný, Keith Rush, Sreeram Kannan:
Improving Federated Learning Personalization via Model Agnostic Meta Learning. - Kuniyuki Takahashi, Kenta Yonekura:
Invisible Marker: Automatic Annotation for Object Manipulation. - Tomoki Anzai, Kuniyuki Takahashi:
Deep Gated Multi-modal Learning: In-hand Object Pose Estimation with Tactile and Image. - Mohamadreza Ahmadi, Masahiro Ono, Michel D. Ingham, Richard M. Murray, Aaron D. Ames:
Risk-Averse Planning Under Uncertainty. - Venkatraman Renganathan, Navid Hashemi, Justin Ruths, Tyler H. Summers:
Distributionally Robust Tuning of Anomaly Detectors in Cyber-Physical Systems with Stealthy Attacks. - Yuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Aishan Liu, Dacheng Tao, Edwin R. Hancock:
Region-wise Generative Adversarial ImageInpainting for Large Missing Areas. - Lin Song, Yanwei Li, Zeming Li, Gang Yu, Hongbin Sun, Jian Sun, Nanning Zheng:
Learnable Tree Filter for Structure-preserving Feature Transform. - Han Liu, Xianchao Zhang, Xiaotong Zhang, Qimai Li, Xiao-Ming Wu:
Clustering Uncertain Data via Representative Possible Worlds with Consistency Learning. - Mincheul Kang, Heechan Shin, Donghyuk Kim, Sung-Eui Yoon:
TORM: Collision-Free Trajectory Optimization of Redundant Manipulator given an End-Effector Path. - Allan Grønlund, Lior Kamma, Kasper Green Larsen, Alexander Mathiasen, Jelani Nelson:
Margin-Based Generalization Lower Bounds for Boosted Classifiers. - Subhrajit Sinha, Sai Pushpak Nandanoori, Enoch Yeung:
Online Learning of Dynamical Systems: An Operator Theoretic Approach. - Henning Schnoor, Wilhelm Hasselbring:
Comparing Static and Dynamic Weighted Software Coupling Metrics. - Luca Rossetto, Ralph Gasser, Heiko Schuldt:
Query by Semantic Sketch. - Duc Bui, Kshitiz Malik, Jack Goetz, Honglei Liu, Seungwhan Moon, Anuj Kumar, Kang G. Shin:
Federated User Representation Learning. - David C. Del Rey Fernández, Mark H. Carpenter, Lisandro Dalcín, L. Fredrich, Diego Rojas, Andrew R. Winters, Gregor J. Gassner, Stefano Zampini, Matteo Parsani:
Entropy Stable p-Nonconforming Discretizations with the Summation-by-Parts Property for the Compressible Euler equations. - Hugo Richard, Lucas Martin, Ana Luísa Pinho, Jonathan W. Pillow, Bertrand Thirion:
Fast shared response model for fMRI data. - Ximeng Liu, Robert H. Deng, Pengfei Wu, Yang Yang:
Lightning-Fast and Privacy-Preserving Outsourced Computation in the Cloud. - David C. Del Rey Fernández, Mark H. Carpenter, Lisandro Dalcín, Lucas Friedrich, Andrew R. Winters, Gregor J. Gassner, Matteo Parsani:
Entropy Stable p-Nonconforming Discretizations with the Summation-by-Parts Property for the Compressible Navier-Stokes Equations. - Shen Li, Bryan Hooi, Gim Hee Lee:
Identifying through Flows for Recovering Latent Representations. - Heechang Ryu, Hayong Shin, Jinkyoo Park:
Multi-Agent Actor-Critic with Hierarchical Graph Attention Network. - Yongqiang Li, Chaolun Lu, Zhongsheng Hou, Yuanjing Feng:
Data-Driven Robust Stabilization with RobustDomain of Attraction Estimate for Nonlinear Discrete-Time Systems. - Pieter H. Hartel, Richard Schumi:
Gas limit aware mutation testing of smart contracts at scale. - Hamid Zafar, Maryam Tavakol, Jens Lehmann:
MDP-based Shallow Parsing in Distantly Supervised QA Systems. - Atsuhiro Noguchi, Tatsuya Harada:
RGBD-GAN: Unsupervised 3D Representation Learning From Natural Image Datasets via RGBD Image Synthesis. - Yulong Wang, Xiaolu Zhang, Lingxi Xie, Jun Zhou, Hang Su, Bo Zhang, Xiaolin Hu:
Pruning from Scratch. - Malik Magdon-Ismail, Alex Gittens:
Fast Fixed Dimension L2-Subspace Embeddings of Arbitrary Accuracy, With Application to L1 and L2 Tasks. - Sara Pålsson, Anna-Karin Tornberg:
An integral equation method for closely interacting surfactant-covered droplets in wall-confined Stokes flow. - Gérard Berry, Lionel Rieg:
Towards Coq-verified Esterel Semantics and Compiling. - Ján Morovic:
Color continuity along the journey from ideas to objects. - Wei Li, Shengmei Zhao:
Upper Bound of Collective Attacks on Quantum Key Distribution. - Apratim Bhattacharyya, Mario Fritz, Bernt Schiele:
"Best-of-Many-Samples" Distribution Matching. - Naina Said, Kashif Ahmad, Nicola Conci, Ala I. Al-Fuqaha:
Active Learning for Event Detection in Support of Disaster Analysis Applications. - Zhongdao Wang, Liang Zheng, Yixuan Liu, Shengjin Wang:
Towards Real-Time Multi-Object Tracking. - Rawad Bitar, Yuxuan Xing, Yasaman Keshtkarjahromi, Venkat R. Dasari, Salim El Rouayheb, Hulya Seferoglu:
Private and Rateless Adaptive Coded Matrix-Vector Multiplication. - Shohei Hayashi, Bisser Raytchev, Toru Tamaki, Kazufumi Kaneda:
Biomedical Image Segmentation by Retina-like Sequential Attention Mechanism Using Only A Few Training Images. - Mahdi Sarbazi, Mehdi Sadeghzadeh, Seyyed Javad Mir Abedini:
Improving Resource Allocation in Software-Defined Networks using Clustering. - Maryam Foradi, Jan Kaßel, Johannes Pein, Gregory R. Crane:
Multi-Modal Citizen Science: From Disambiguation to Transcription of Classical Literature. - Tayssir Touili, Xin Ye:
Reachability Analysis of Self Modifying Code. - Tayssir Touili, Xin Ye:
LTL Model Checking of Self Modifying Code. - Margherita Rosnati, Vincent Fortuin:
MGP-AttTCN: An Interpretable Machine Learning Model for the Prediction of Sepsis. - Jinchen Xuan, Yunchang Yang, Ze Yang, Di He, Liwei Wang:
On the Anomalous Generalization of GANs. - Thomas-Peter Fries, Daniel Schöllhammer:
A Unified Finite Strain Theory for Membranes and Ropes. - Jack Goetz, Kshitiz Malik, Duc Bui, Seungwhan Moon, Honglei Liu, Anuj Kumar:
Active Federated Learning. - Punyajoy Saha, Binny Mathew, Pawan Goyal, Animesh Mukherjee:
HateMonitors: Language Agnostic Abuse Detection in Social Media. - Shotaro Akaho, Hideitsu Hino, Noboru Murata:
On a convergence property of a geometrical algorithm for statistical manifolds. - Kosuke Arase, Yusuke Mukuta, Tatsuya Harada:
Rethinking Task and Metrics of Instance Segmentation on 3D Point Clouds. - Lhouari Nourine, Jean-Marc Petit:
Possible/Certain Functional Dependencies. - Begoña Cano, Nuria Reguera:
Order reduction and how to avoid it when Lawson methods integrate reaction-diffusion boundary value problems. - Mingtao Feng, Liang Zhang, Xuefei Lin, Syed Zulqarnain Gilani, Ajmal Mian:
Point Attention Network for Semantic Segmentation of 3D Point Clouds. - Christian Kreuzer, Emmanuil H. Georgoulis:
Convergence of adaptive discontinuous Galerkin methods (corrected version of [Math. Comp 87 (2018), no 314, 2611-2640]). - Ji Hyun Yi, Rachid Cherkaoui, Mario Paolone:
Optimal Siting and Sizing of Energy Storage Systems in Active Distribution Networks to achieve their Dispatchability. - Jonathan S. Rosenfeld, Amir Rosenfeld, Yonatan Belinkov, Nir Shavit:
A Constructive Prediction of the Generalization Error Across Scales. - Jan Blechschmidt, Roland Herzog, Max Winkler:
Error estimation for second-order PDEs in non-variational form. - Xianghu Yue, Grandee Lee, Emre Yilmaz, Fang Deng, Haizhou Li:
End-to-End Code-Switching ASR for Low-Resourced Language Pairs. - Antonio Capizzi, Salvatore Distefano, Manuel Mazzara, Luiz Jonata Pires de Araujo, Muhammad Ahmad, Evgeny Bobrov:
Anomaly Detection in DevOps Toolchain. - Daniele Cesarini, Andrea Bartolini, Andrea Borghesi, Carlo Cavazzoni, Mathieu Luisier, Luca Benini:
COUNTDOWN Slack: a Run-time Library to Reduce Energy Footprint in Large-scale MPI Applications. - Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund:
Fixed-Length Strong Coordination. - Sainath Adapa:
Urban Sound Tagging using Convolutional Neural Networks. - Ran Tian, Nan Li, Ilya V. Kolmanovsky, Anouck Girard:
Beating humans in a penny-matching game by leveraging cognitive hierarchy theory and Bayesian learning. - Sunil Aryal, Arbind Agrahari Baniya, KC Santosh:
Improved histogram-based anomaly detector with the extended principal component features. - Stanislav Böhm, Jakub Beránek, Martin Surkovský:
Haydi: Rapid Prototyping and Combinatorial Objects. - Paolo Tripicchio, Carlo Alberto Avizzano, Massimo Bergamasco:
A 6-DOF haptic manipulation system to verify assembly procedures on CAD models. - Gabriela Robiolo, Ezequiel Scott, Santiago Matalonga, Michael Felderer:
Technical Debt and Waste in Non-Functional Requirements Documentation: An Exploratory Study. - Pu Yang, Krishnamurthy Iyer, Peter I. Frazier:
Information Design in Spatial Resource Competition. - Shruti Tople, Amit Sharma, Aditya Nori:
Alleviating Privacy Attacks via Causal Learning. - Lorenzo Nardi, Cyrill Stachniss:
Long-Term Robot Navigation in Indoor Environments Estimating Patterns in Traversability Changes. - Indu Ilanchezian, Praneeth Vepakomma, Abhishek Singh, Otkrist Gupta, G. N. Srinivasa Prasanna, Ramesh Raskar:
Maximal adversarial perturbations for obfuscation: Hiding certain attributes while preserving rest. - Gonçalo Faria:
Learning to compute inner consensus - A noble approach to modeling agreement between Capsules. - Riccardo De Masellis, Chiara Di Francescomarino, Chiara Ghidini, Sergio Tessaris:
Verification of data-aware workflows via reachability: formalisation and experiments. - Rémi Bernhard, Pierre-Alain Moëllic, Jean-Max Dutertre:
Impact of Low-bitwidth Quantization on the Adversarial Robustness for Embedded Neural Networks. - Reza Bahmanyar, Eleonora Vig, Peter Reinartz:
MRCNet: Crowd Counting and Density Map Estimation in Aerial and Ground Imagery. - Stéphane Clinchant, Kweon Woo Jung, Vassilina Nikoulina:
On the use of BERT for Neural Machine Translation. - Seyed Mohammad Hashemi, Mohammad Rahmati:
Cross-domain recommender system using Generalized Canonical Correlation Analysis. - Kai Wan, Hua Sun, Mingyue Ji, Daniela Tuninetti, Giuseppe Caire:
Device-to-Device Private Caching with Trusted Server. - Mojdeh Saadati, Syed Shihab, Mohammed Shaiqur Rahman:
Movie Recommender Systems: Implementation and Performance Evaluation. - Zhihong Liu, Jiajia Liu, Yong Zeng, Jianfeng Ma:
Hiding Communications in AWGN Channels and THz Band with Interference Uncertainty. - Alireza Ahmadi, Lorenzo Nardi, Nived Chebrolu, Cyrill Stachniss:
Visual Servoing-based Navigation for Monitoring Row-Crop Fields. - Xianghui Zhong:
On the Approximation Ratio of the k-Opt and Lin-Kernighan Algorithm for Metric TSP. - Benu Madhab Changmai, Divija Nagaraju, Debi Prasanna Mohanty, Kriti Singh, Kunal Bansal, Sukumar Moharana:
On-Device User Intent Prediction for Context and Sequence Aware Recommendation. - Buddhima Gamlath, Sagar Kale, Ola Svensson:
Beating Greedy for Stochastic Bipartite Matching. - Yaadhav Raaj:
Exploring Pose Priors for Human Pose Estimation with Joint Angle Representations. - Huseyin A. Inan, Gaurav Singh Tomar, Huapu Pan:
Improving Semantic Parsing with Neural Generator-Reranker Architecture. - Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
A nonlinear model predictive control framework using reference generic terminal ingredients. - Corrado Pezzato, Riccardo M. G. Ferrari, Carlos Hernandez:
A Novel Adaptive Controller for Robot Manipulators based on Active Inference. - Ester Hait-Fraenkel, Guy Gilboa:
Numeric Solutions of Eigenvalue Problems for Generic Nonlinear Operators. - Xiaohan Ding, Guiguang Ding, Xiangxin Zhou, Yuchen Guo, Ji Liu, Jungong Han:
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks. - Givi Meishvili, Simon Jenni, Paolo Favaro:
Learning to Have an Ear for Face Super-Resolution. - Yancong Xie, Hongxun Jiang:
Stock Market Forecasting Based on Text Mining Technology: A Support Vector Machine Method. - Alvaro Sanchez-Gonzalez, Victor Bapst, Kyle Cranmer, Peter W. Battaglia:
Hamiltonian Graph Networks with ODE Integrators. - Hongki Lee, Changhee Park, Sukyoung Ryu:
Automatically Tracing Imprecision Causes in JavaScript Static Analysis. - Hao Wang, Zonghu Wang, Weishi Zhang:
Quantitative analysis of Matthew effect and sparsity problem of recommender systems. - Anne-Marie Tousch:
How robust is MovieLens? A dataset analysis for recommender systems. - Zhu Sun, Qing Guo, Jie Yang, Hui Fang, Guibing Guo, Jie Zhang, Robin Burke:
Research Commentary on Recommendations with Side Information: A Survey and Research Directions. - Atinuke Ademola-Idowu, Baosen Zhang:
Frequency Stability Using Inverter Power Control in Low-Inertia Power Systems. - Paul Muller, Shayegan Omidshafiei, Mark Rowland, Karl Tuyls, Julien Pérolat, Siqi Liu, Daniel Hennes, Luke Marris, Marc Lanctot, Edward Hughes, Zhe Wang, Guy Lever, Nicolas Heess, Thore Graepel, Rémi Munos:
A Generalized Training Approach for Multiagent Learning. - Nikos Kolotouros, Georgios Pavlakos, Michael J. Black, Kostas Daniilidis:
Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop. - Brandon Amos, Denis Yarats:
The Differentiable Cross-Entropy Method. - Renaud Dubé, Andrei Cramariuc, Daniel Dugas, Hannes Sommer, Marcin Dymczyk, Juan I. Nieto, Roland Siegwart, Cesar Cadena:
SegMap: Segment-based mapping and localization using data-driven descriptors. - Richard Benjamins, Alberto Barbado, Daniel Sierra:
Responsible AI by Design. - Hancheng Min, Fernando Paganini, Enrique Mallada:
Accurate Reduced Order Models for Coherent Synchronous Generators. - Quentin Le Gall, Bartlomiej Blaszczyszyn, Elie Cali, Taoufik En-Najjary:
Relay-assisted Device-to-Device Networks: Connectivity and Uberization Opportunities. - Tong Niu, Mohit Bansal:
Automatically Learning Data Augmentation Policies for Dialogue Tasks. - Zhiang Chen, Tyler R. Scott, Sarah Bearman, Harish Anand, Chelsea Scott, J. Ramon Arrowsmith, Jnaneshwar Das:
Geomorphological Analysis Using Unpiloted Aircraft Systems, Structure from Motion, and Deep Learning. - Eyla Willing, Jens Stoye, Marília D. V. Braga:
Computing the Inversion-Indel Distance. - Abhimanyu Talwar, Zudi Lin, Donglai Wei, Yuesong Wu, Bowen Zheng, Jinglin Zhao, Won-Dong Jang, Xueying Wang, Jeff W. Lichtman, Hanspeter Pfister:
A Topological Nomenclature for 3D Shape Analysis in Connectomics. - Sébastien Racanière, Andrew K. Lampinen, Adam Santoro, David P. Reichert, Vlad Firoiu, Timothy P. Lillicrap:
Automated curricula through setter-solver interactions. - Mahsa Ghasemi, Abolfazl Hashemi, Haris Vikalo, Ufuk Topcu:
Identifying Low-Dimensional Structures in Markov Chains: A Nonnegative Matrix Factorization Approach. - Benoît Colange, Laurent Vuillon, Sylvain Lespinats, Denys Dutykh:
Interpreting Distortions in Dimensionality Reduction by Superimposing Neighbourhood Graphs. - Shupeng Gui, Xiangliang Zhang, Pan Zhong, Shuang Qiu, Mingrui Wu, Jieping Ye, Zhengdao Wang, Ji Liu:
PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions. - Eric M. Clark, Scott C. Merrill, Luke Trinity, Gabriela Bucini, Nicholas Cheney, Ollin Langle-Chimal, Trisha Shrum, Christopher Koliba, Asim Zia, Julia M. Smith:
Using Digital Field Experiments To Elicit Risk Mitigation Behavioral Strategies For Disease Management Across Agricultural Production Systems. - Karol Arndt, Murtaza Hazara, Ali Ghadirzadeh, Ville Kyrki:
Meta Reinforcement Learning for Sim-to-real Domain Adaptation. - Xiaoyang Guo, Anuj Srivastava, Sudeep Sarkar:
A Quotient Space Formulation for Statistical Analysis of Graphical Data. - Jens Lundell, Francesco Verdoja, Ville Kyrki:
Beyond Top-Grasps Through Scene Completion. - Yubao Liu, Kai Lin:
Deeply Matting-based Dual Generative Adversarial Network for Image and Document Label Supervision. - Xin Guo, Luisa F. Polanía, Bin Zhu, Charles Boncelet, Kenneth E. Barner:
Graph Neural Networks for Image Understanding Based on Multiple Cues: Group Emotion Recognition and Event Recognition as Use Cases. - Prabin Sharma, Shubham Joshi, Subash Gautam, Vítor Filipe, Manuel J. C. S. Reis:
Student Engagement Detection Using Emotion Analysis, Eye Tracking and Head Movement with Machine Learning. - David Isele:
Interactive Decision Making for Autonomous Vehicles in Dense Traffic. - Lucas Pascal, Xavier Bost, Benoit Huet:
Semantic and Visual Similarities for Efficient Knowledge Transfer in CNN Training. - Preeti Agarwal, Mansaf Alam:
A Lightweight Deep Learning Model for Human Activity Recognition on Edge Devices. - Sumeet Shinde, Tanay Chougule, Jitender Saini, Madhura Ingalhalikar:
HR-CAM: Precise Localization of Pathology Using Multi-level Learning in CNNs. - Benjamin Renoust, Matheus Oliveira Franca, Jacob Chan, Van Le, Ayaka Uesaka, Yuta Nakashima, Hajime Nagahara, Jueren Wang, Yutaka Fujioka:
Historical and Modern Features for Buddha Statue Classification. - Iván López-Espejo:
End-to-End Deep Residual Learning with Dilated Convolutions for Myocardial Infarction Detection and Localization. - Anahita Mohseni-Kabir, David Isele, Kikuo Fujimura:
Interaction-Aware Multi-Agent Reinforcement Learning for Mobile Agents with Individual Goals. - Bradley Miles, Dave Cliff:
A Cloud-Native Globally Distributed Financial Exchange Simulator for Studying Real-World Trading-Latency Issues at Planetary Scale. - Basemah Alshemali, Alta Graham, Jugal Kalita:
Toward Robust Image Classification. - Ivan P. Yamshchikov, Viacheslav Shibaev, Aleksander Nagaev, Jürgen Jost, Alexey Tikhonov:
Decomposing Textual Information For Style Transfer. - Yumeng Zhang, Gaoguo Jia, Li Chen, Mingrui Zhang, Jun-Hai Yong:
Self-Paced Video Data Augmentation with Dynamic Images Generated by Generative Adversarial Networks. - Eric R. Ambrose, Aaron D. Ames:
Improved Performance on Moving-Mass Hopping Robots with Parallel Elasticity. - Benjamin Renoust, Matheus Oliveira Franca, Jacob Chan, Van Le, Ayaka Uesaka, Yuta Nakashima, Hajime Nagahara, Jueren Wang, Yutaka Fujioka:
BUDA.ART: A Multimodal Content-Based Analysis and Retrieval System for Buddha Statues. - Hamid R. Tizhoosh, Shivam Kalra, Shalev Lifshitz, Morteza Babaie:
Subtractive Perceptrons for Learning Images: A Preliminary Report. - G. Hall, M. Mansi, I. Makrant:
Novel method for handling Ethereum attack. - Yi Zeng, Enmeng Lu, Yinqian Sun, Ruochen Tian:
Responsible Facial Recognition and Beyond. - Yi Cheng, Hongyuan Zhu, Cihan Acar, Wei Jing, Yan Wu, Liyuan Li, Cheston Tan, Joo-Hwee Lim:
6D Pose Estimation with Correlation Fusion. - Meenu Ajith, Manel Martínez-Ramón:
Unsupervised Segmentation of Fire and Smoke from Infra-Red Videos. - Akhil Gupta:
Time Series Modeling for Dream Team in Fantasy Premier League. - Xiaonan Zhao, Huan Qi, Rui Luo, Larry Davis:
A weakly supervised adaptive triplet loss for deep metric learning. - Shriphani Palakodety, Ashiqur R. KhudaBukhsh, Jaime G. Carbonell:
Kashmir: A Computational Analysis of the Voice of Peace. - Zheyu Yang, Yujie Wu, Guanrui Wang, Yukuan Yang, Guoqi Li, Lei Deng, Jun Zhu, Luping Shi:
DashNet: A Hybrid Artificial and Spiking Neural Network for High-speed Object Tracking. - Mesay Samuel Gondere, Lars Schmidt-Thieme, Abiot Sinamo Boltena, Hadi Samer Jomaa:
Handwritten Amharic Character Recognition Using a Convolutional Neural Network. - Zhaobing Kang, Wei Zou, Zheng Zhu, Chi Zhang, Hongxuan Ma:
EPOSIT: An Absolute Pose Estimation Method for Pinhole and Fish-Eye Cameras. - Toyotaro Suzumura, Yi Zhou, Nathalie Barcardo, Guangnan Ye, Keith Houck, Ryo Kawahara, Ali Anwar, Lucia Larise Stavarache, Daniel Klyashtorny, Heiko Ludwig, Kumar Bhaskaran:
Towards Federated Graph Learning for Collaborative Financial Crimes Detection. - Zhenzhen Xiang, Jingrui Yu, Jie Li, Jianbo Su:
ViLiVO: Virtual LiDAR-Visual Odometry for an Autonomous Vehicle with a Multi-Camera System. - Vivekraj V. K, Debashis Sen, Balasubramanian Raman:
Video Skimming: Taxonomy and Comprehensive Survey. - Iqbal H. Sarker, Khaled Salah:
AppsPred: Predicting Context-Aware Smartphone Apps using Random Forest Learning. - Rico Jonschkowski, Austin Stone:
Towards Object Detection from Motion. - Lin Zhou, Alfred O. Hero III:
Resolution Limits of Noisy 20 Questions Estimation. - Yuezun Li, Xin Yang, Pu Sun, Honggang Qi, Siwei Lyu:
Celeb-DF: A New Dataset for DeepFake Forensics. - Daniel R. Reynolds, David J. Gardner, Cody J. Balos, Carol S. Woodward:
SUNDIALS Multiphysics+MPIManyVector Performance Testing. - Yuan Lin, John McPhee, Nasser L. Azad:
Decision-Making and Control for Freeway On-Ramp Merging Using Deep Reinforcement Learning. - Matthew L. Olson, Lawrence Neal, Fuxin Li, Weng-Keen Wong:
Counterfactual States for Atari Agents via Generative Deep Learning. - Xinlei Pan, Tingnan Zhang, Brian Ichter, Aleksandra Faust, Jie Tan, Sehoon Ha:
Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation. - Gleb Dubosarskii, Serguei Primak, Xianbin Wang:
Stochastic Geometry of Network of Randomly Distributed Moving Vehicles on a Highway. - Gleb Dubosarskii, Serguei Primak, Xianbin Wang:
Evolution of Vehicle Network on a Highway. - Sijie Zhu, Taojiannan Yang, Chen Chen:
Visual Explanation for Deep Metric Learning. - Taojiannan Yang, Sijie Zhu, Shen Yan, Mi Zhang, Andrew R. Willis, Chen Chen:
A closer look at network resolution for efficient network design. - Congzheng Song, Reza Shokri:
Membership Encoding for Deep Learning. - Linxi Fan, Yuke Zhu, Jiren Zhu, Zihua Liu, Orien Zeng, Anchit Gupta, Joan Creus-Costa, Silvio Savarese, Li Fei-Fei:
SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning. - Swapnil Mhaske, Predrag Spasojevic, Ahsan Aziz:
A Blockage Model for the Open Area Mm-wave Device-to-Device Environment. - Wenhao Yu, Jie Tan, Yunfei Bai, Erwin Coumans, Sehoon Ha:
Learning Fast Adaptation with Meta Strategy Optimization. - Rezaul Karim, Md. Amirul Islam, Neil D. B. Bruce:
Distributed Iterative Gating Networks for Semantic Segmentation. - Yunbo Wang, Bo Liu, Jiajun Wu, Yuke Zhu, Simon S. Du, Li Fei-Fei, Joshua B. Tenenbaum:
Dual Sequential Monte Carlo: Tunneling Filtering and Planning in Continuous POMDPs. - Tianyi Luo, Yang Liu:
Machine Truth Serum. - Qing Li, Xiaojiang Peng, Yu Qiao, Qiang Peng:
Learning Category Correlations for Multi-label Image Recognition with Graph Networks. - Fahad AlGhamdi, Giovanni Molina, Mona T. Diab, Thamar Solorio, Abdelati Hawwari, Victor Soto, Julia Hirschberg:
Part of speech tagging for code switched data. - Fahad AlGhamdi, Mona T. Diab:
WASA: A Web Application for Sequence Annotation. - Mona T. Diab, Mahmoud Ghoneim, Abdelati Hawwari, Fahad AlGhamdi, Nada AlMarwani, Mohamed Al-Badrashiny:
Creating a Large Multi-Layered Representational Repository of Linguistic Code Switched Arabic Data. - Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani, Ali Jadbabaie, Ramtin Pedarsani:
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization. - Giovanni Molina, Fahad AlGhamdi, Mahmoud Ghoneim, Abdelati Hawwari, Nicolas Rey-Villamizar, Mona T. Diab, Thamar Solorio:
Overview for the Second Shared Task on Language Identification in Code-Switched Data. - Ayumu Sasagawa, Kazuki Fujimoto, Sho Sakaino, Toshiaki Tsuji:
Imitation Learning for Human-robot Cooperation Using Bilateral Control. - Benedek Rozemberczki, Carl Allen, Rik Sarkar:
Multi-scale Attributed Node Embedding. - Samala Rathan, G. Naga Raju, Ashlesha A. Bhise:
Simple smoothness indicator WENO-Z scheme for hyperbolic conservation laws. - Negin Heravi, Wenzhen Yuan, Allison M. Okamura, Jeannette Bohg:
Learning an Action-Conditional Model for Haptic Texture Generation. - Jialu Huang, Jing Liao, Sam Tak-Wu Kwong:
Semantic Example Guided Image-to-Image Translation. - Guozhen Rong, Yixin Cao, Jianxin Wang:
Characterization and Linear-time Recognition of Paired Threshold Graphs. - Benjamin Patrick Evans, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
Genetic Programming and Gradient Descent: A Memetic Approach to Binary Image Classification. - Sarath Yasodharan, Patrick Loiseau:
Nonzero-sum Adversarial Hypothesis Testing Games. - Xiaopeng Yan, Ziliang Chen, Anni Xu, Xiaoxi Wang, Xiaodan Liang, Liang Lin:
Meta R-CNN : Towards General Solver for Instance-level Low-shot Learning. - Ruigang Wang, Ian R. Manchester:
Continuous-time Dynamic Realization for Nonlinear Stabilization via Control Contraction Metrics. - Qitian Wu, Rui Gao, Hongyuan Zha:
Stein Bridging: Enabling Mutual Reinforcement between Explicit and Implicit Generative Models. - Markus Kühbach, Franz Roters:
Quantification of 3D spatial correlations between state variables and distances to the grain boundary network in full-field crystal plasticity spectral method simulations. - Yu Liu, Lingqiao Liu, Haokui Zhang, Seyed Hamid Rezatofighi, Ian D. Reid:
Meta Learning with Differentiable Closed-form Solver for Fast Video Object Segmentation. - Wei Zhou, Yiying Li:
Feature Fusion Detector for Semantic Cognition of Remote Sensing. - Alberto Bemporad, Dario Piga:
Active preference learning based on radial basis functions. - Duc Tam Nguyen, Maximilian Dax, Chaithanya Kumar Mummadi, Thi-Phuong-Nhung Ngo, Thi Hoai Phuong Nguyen, Zhongyu Lou, Thomas Brox:
DeepUSPS: Deep Robust Unsupervised Saliency Prediction With Self-Supervision. - Bo Yan, Chuming Lin, Weimin Tan:
Frame and Feature-Context Video Super-Resolution. - Shubhendra Pal Singhal, Sandeep Gupta, Pierluigi Nuzzo:
Profiling minisat based on user defined execution time - GPROF. - Alexandr Katrutsa, Mike A. Botchev, Ivan V. Oseledets:
Practical shift choice in the shift-and-invert Krylov subspace evaluations of the matrix exponential. - Lei Li, Dongling Wang:
Complete monotonicity-preserving numerical methods for time fractional ODEs. - Prateek Munjal, Akanksha Paul, Narayanan C. Krishnan:
Implicit Discriminator in Variational Autoencoder. - Jiao Xie, Shaohui Lin, Yichen Zhang, Linkai Luo:
Training convolutional neural networks with cheap convolutions and online distillation. - Shuangming Chai, Xiao-Ming Fu, Ligang Liu:
Voting for Distortion Points in Geometric Processing. - Ismail Shahin, Ali Bou Nassif:
Emirati-Accented Speaker Identification in Stressful Talking Conditions. - Danfei Xu, Roberto Martín-Martín, De-An Huang, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Regression Planning Networks. - Dan Wang, Jibing Gong, Yaxi Song:
W-RNN: News text classification based on a Weighted RNN. - Xu Han, Tianyu Gao, Yuan Yao, Deming Ye, Zhiyuan Liu, Maosong Sun:
OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction. - Alexandre Proutière, Po-An Wang:
An Optimal Algorithm in Multiplayer Multi-Armed Bandits. - Prajjwal Bhargava:
On Generalizing Detection Models for Unconstrained Environments. - Alexander Korotin, Vage Egiazarian, Arip Asadulaev, Evgeny Burnaev:
Wasserstein-2 Generative Networks. - Chunjie Zhang, Yang Su, Siyi Hu, Kai Jin, Yuhan Jie, Wenshi Li, Arokia Nathan, Hanbin Ma:
An impedance sensing platform for monitoring heterogeneous connectivity and diagnostics in lab-on-a-chip systems. - Tatsuya Konishi, Hideharu Kojima, Hiroyuki Nakagawa, Tatsuhiro Tsuchiya:
Using simulated annealing for locating array construction. - Zhi Chen, Fan Yang, Wenbing Tao:
GLA-Net: An Attention Network with Guided Loss for Mismatch Removal. - Kanglin Yin, Qingfeng Du, Wei Wang, Juan Qiu, Jincheng Xu:
On Representing and Eliciting Resilience Requirements of Microservice Architecture Systems. - K. R. Arun, Arnab J. Das Gupta, Saurav Samantaray:
Analysis of an Asymptotic Preserving Low Mach Number Accurate IMEX-RK Scheme for the Wave Equation System. - Christos Karatsalos, Yannis Panagiotakis:
Attention-based method for categorizing different types of online harassment language. - Mohammadamin Barekatain, Ryo Yonetani, Masashi Hamaya:
MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics. - Jin Wu:
Unified Attitude Determination Problem from Vector Observations and Hand-eye Measurements. - Antoine François, Quentin Cappart, Louis-Martin Rousseau:
How to Evaluate Machine Learning Approaches for Combinatorial Optimization: Application to the Travelling Salesman Problem. - Ioannis Vasileios Chremos, Andreas A. Malikopoulos:
Social Resource Allocation in a Mobility System with Connected and Automated Vehicles: A Mechanism Design Problem. - Zhengming Ding, Ming Shao:
Robust Knowledge Discovery via Low-rank Modeling. - Mohammad Rasool Izadi:
Feature Level Fusion from Facial Attributes for Face Recognition. - Felix Wu, Boyi Li, Lequn Wang, Ni Lao, John Blitzer, Kilian Q. Weinberger:
Integrated Triaging for Fast Reading Comprehension. - Chenxu Luo, Alan L. Yuille:
Grouped Spatial-Temporal Aggregation for Efficient Action Recognition. - Kamran Ali, Charles E. Hughes:
Facial Expression Recognition Using Disentangled Adversarial Learning. - Alessandro Trindade, Lucas C. Cordeiro:
Optimal Sizing of Stand-alone Solar PV Systems via Automated Formal Synthesis. - Khoi Nguyen, Sinisa Todorovic:
Feature Weighting and Boosting for Few-Shot Segmentation. - Yuhang Li, Xin Dong, Wei Wang:
Additive Powers-of-Two Quantization: A Non-uniform Discretization for Neural Networks. - Jiajun Shen, Peng-Jen Chen, Matt Le, Junxian He, Jiatao Gu, Myle Ott, Michael Auli, Marc'Aurelio Ranzato:
The Source-Target Domain Mismatch Problem in Machine Translation. - Congzheng Song, Shanghang Zhang, Najmeh Sadoughi, Pengtao Xie, Eric P. Xing:
Generalized Zero-shot ICD Coding. - Jun Li, Peng Lei, Sinisa Todorovic:
Weakly Supervised Energy-Based Learning for Action Segmentation. - Wesley Cowan, Michael N. Katehakis, Daniel Pirutinsky:
Accelerating the Computation of UCB and Related Indices for Reinforcement Learning. - Hailiang Liu, Wumaier Maimaitiyiming:
Unconditional positivity-preserving and energy stable schemes for a reduced Poisson-Nernst-Planck system. - Aneek Barman Roy:
Translation, Sentiment and Voices: A Computational Model to Translate and Analyse Voices from Real-Time Video Calling. - Yunxiao Shi, Jing Zhu, Yi Fang, Kuo-Chin Lien, Junli Gu:
Self-Supervised Learning of Depth and Ego-motion with Differentiable Bundle Adjustment. - Meyer Scetbon, Michael Elad, Peyman Milanfar:
Deep K-SVD Denoising. - Changan Chen, Sha Hu, Payam Nikdel, Greg Mori, Manolis Savva:
Relational Graph Learning for Crowd Navigation. - William Hughes, Sandeep Srinivasan, Rohit Suvarna, Maithilee Kulkarni:
Optimizing Design Verification using Machine Learning: Doing better than Random. - Shahin Tasoujian, Saeed Salavati Dezfuli, Matthew A. Franchek, Karolos Grigoriadis:
Robust delay-dependent LPV output-feedback blood pressure control with real-time Bayesian estimation. - Shuyan Zhou, Shruti Rijhwani, Graham Neubig:
Towards Zero-resource Cross-lingual Entity Linking. - Carl Yang, Lingrui Gan, Zongyi Wang, Jiaming Shen, Jinfeng Xiao, Jiawei Han:
Query-Specific Knowledge Summarization with Entity Evolutionary Networks. - Anahita Davoudi, Ari Z. Klein, Abeed Sarker, Graciela Gonzalez-Hernandez:
Towards Automatic Bot Detection in Twitter for Health-related Tasks. - Kun Xu, Chongxuan Li, Huanshu Wei, Jun Zhu, Bo Zhang:
Understanding and Stabilizing GANs' Training Dynamics with Control Theory. - Isaac K. E. Ampomah, Sally I. McClean, Zhiwei Lin, Glenn I. Hawe:
Gated Task Interaction Framework for Multi-task Sequence Tagging. - Zhiwei Deng, Greg Mori:
Policy Message Passing: A New Algorithm for Probabilistic Graph Inference. - Omri Azencot, Rongjie Lai:
Shape Analysis via Functional Map Construction and Bases Pursuit. - Sara Calandrini, Eugenio Aulisa, Guoyi Ke:
A field-split preconditioning technique for fluid-structure interaction problems with applications in biomechanics. - Ruishan Liu, Akshay Balsubramani, James Zou:
Learning transport cost from subset correspondence. - Zijia Zhong, Mark M. Nejad, Earl E. Lee II, Joyoung Lee:
Clustering Strategies of Cooperative Adaptive Cruise Control: Impacts on Human-driven Vehicles. - A. I. Garralda Guillem, Herb Kunze, Davide La Torre, Manuel Ruiz Galán:
Using the Generalized Collage Theorem for Estimating Unknown Parameters in Perturbed Mixed Variational Equations. - Hendrik Ranocha, David I. Ketcheson:
Energy Stability of Explicit Runge-Kutta Methods for Non-autonomous or Nonlinear Problems. - Tapas Kumar Mishra:
r-wise fractional L-intersecting family. - Chao Wei, Weiru Zhang, Shengjie Sun, Fei Li, Xiaonan Meng, Yi Hu, Hao Wang:
Optimal Delivery with Budget Constraint in E-Commerce Advertising. - Feng Liu, Qi Wang:
IBRS: An Efficient Identity-based Batch Verification Scheme for VANETs Based on Ring Signature. - Enze Xie, Peize Sun, Xiaoge Song, Wenhai Wang, Xuebo Liu, Ding Liang, Chunhua Shen, Ping Luo:
PolarMask: Single Shot Instance Segmentation with Polar Representation. - Sergey B. Medvedev, Igor S. Chekhovskoy, Irina Vaseva, Mikhail P. Fedoruk:
Fast Computation of the Direct Scattering Transform by Fourth Order Conservative Multi-Exponential Scheme. - Yu Sun, Xiaolong Wang, Zhuang Liu, John Miller, Alexei A. Efros, Moritz Hardt:
Test-Time Training for Out-of-Distribution Generalization. - Weiyu Guo, Jiabin Ma, Liang Wang, Yongzhen Huang:
Learning Efficient Convolutional Networks through Irregular Convolutional Kernels. - Jialun Pei, He Tang, Chao Liu, Chuanbo Chen:
Salient Instance Segmentation via Subitizing and Clustering. - Evangelos Psomakelis, Konstantinos Tserpes, Dimitris Zissis, Dimosthenis Anagnostopoulos, Theodora A. Varvarigou:
Context agnostic trajectory prediction based on λ-architecture. - Ismail Shahin, Ali Bou Nassif:
Speaker Verification in Emotional Talking Environments based on Third-Order Circular Suprasegmental Hidden Markov Model. - Xiangbo Shu, Liyan Zhang, Guo-Jun Qi, Wei Liu, Jinhui Tang:
Spatiotemporal Co-attention Recurrent Neural Networks for Human-Skeleton Motion Prediction. - Youngeun Kim, Hankyeol Lee, Seokeon Choi, Taekyung Kim, Changick Kim:
RPM-Net: Robust Pixel-Level Matching Networks for Self-Supervised Video Object Segmentation. - (Withdrawn) Learning to Align Multi-Camera Domain for Unsupervised Video Person Re-Identification.
- Naomi A. Arnold, Raul J. Mondragón, Richard G. Clegg:
Changing the tune: mixtures of network models that vary in time. - Tran Nhan Tam Quyen:
Multiple coefficient identification in electrical impedance tomography with energy functional method. - Maria Bada, Jason R. C. Nurse:
The Social and Psychological Impact of Cyber-Attacks. - Muhammad Faisal, Ijaz Akhter, Mohsen Ali, Richard I. Hartley:
Exploiting Geometric Constraints on Dense Trajectories for Motion Saliency. - Samala Rathan, Biswarup Biswas:
Arc length based WENO scheme for Hamilton-Jacobi Equations. - Fangwen Tu, Shuzhi Sam Ge, Yoo Sang Choo, Chang Chieh Hang:
Adaptive Control for Marine Vessels Against Harsh Environmental Variation. - Shubin Fu, Eric T. Chung, Tina Mai:
Constraint energy minimizing generalized multiscale finite element method for nonlinear poroelasticity and elasticity. - Thierry Tambe, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa Reddi, Alexander M. Rush, David Brooks, Gu-Yeon Wei:
AdaptivFloat: A Floating-point based Data Type for Resilient Deep Learning Inference. - Yuwen Yang, Feifei Gao, Cheng Qian, Guisheng Liao:
Model-aided Deep Neural Network for Source Number Detection. - Haider Qays Al-Shammari, Ahmed Q. Lawey, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Service Embedding in IoT Networks. - Jing Luo, Xinyu Yang, Shulei Ji, Juan Li:
MG-VAE: Deep Chinese Folk Songs Generation with Specific Regional Style. - Qingkai Min, Yuefeng Shi, Yue Zhang:
A Pilot Study for Chinese SQL Semantic Parsing. - Zhe Xu, Kasra Yazdani, Matthew T. Hale, Ufuk Topcu:
Differentially Private Controller Synthesis With Metric Temporal Logic Specifications. - Giuseppe L'Erario, Luca Fiorio, Gabriele Nava, Fabio Bergonti, Hosameldin Awadalla Omer Mohamed, Silvio Traversaro, Daniele Pucci:
Modeling, Identification and Control of Model Jet Engines for Jet Powered Robotics. - Chencheng Wang, Liner Yang, Yun Chen, Yongping Du, Erhong Yang:
Controllable Data Synthesis Method for Grammatical Error Correction. - Nigel Bosch:
Identifying supportive contexts for mindset interventions: A two-model machine learning approach. - Yatin Chaudhary, Pankaj Gupta, Thomas A. Runkler:
Lifelong Neural Topic Learning in Contextualized Autoregressive Topic Models of Language via Informative Transfers. - Arish S, R. K. Sharma:
Run-time reconfigurable multi-precision floating point multiplier design for high speed, low-power applications. - Rongrong Wang, Xiaopeng Zhang:
Capacity Preserving Mapping for High-dimensional Data Visualization. - Ezgi Yildirim, Payam Azad, Sule Gündüz Ögüdücü:
Neural Hybrid Recommender: Recommendation needs collaboration. - Natalia A. Tomashenko, Antoine Caubrière, Yannick Estève, Antoine Laurent, Emmanuel Morin:
Recent Advances in End-to-End Spoken Language Understanding. - Zhengdao Chen, Jianyu Zhang, Martín Arjovsky, Léon Bottou:
Symplectic Recurrent Neural Networks. - Shuran Sheng, Ruitao Chen, Peng Chen, Xianbin Wang, Lenan Wu:
Futures-Based Resource Trading and Fair Pricing in Real-Time IoT Networks. - Geoffrey C. Fox, Shantenu Jha:
Learning Everywhere: A Taxonomy for the Integration of Machine Learning and Simulations. - Ching-Lun Tai, Borching Su, Cai Jia:
Interference-Precancelled Pilot Design for LMMSE Channel Estimation of GFDM. - Akshay Arora, Arun Nethi, Priyanka Kharat, Vency Verghese, Grant Jenkins, Steve Miff, Vikas Chowdhry, Xiao Wang:
ISTHMUS: Secure, Scalable, Real-time and Robust Machine Learning Platform for Healthcare. - Dominik Goeke, Michael Schneider:
Modeling Single Picker Routing Problems in Classical and Modern Warehouses. - Antonios Antoniadis, Naveen Garg, Gunjan Kumar, Nikhil Kumar:
Parallel Machine Scheduling to Minimize Energy Consumption. - Irving Solis, Read Sandström, James Motes, Nancy M. Amato:
Roadmap-Optimal Multi-robot Motion Planning using Conflict-Based Search. - Parsa Esfahanian, Mohammad Akhavan:
GACNN: Training Deep Convolutional Neural Networks with Genetic Algorithm. - Eric Lei, Oscar Castañeda, Olav Tirkkonen, Tom Goldstein, Christoph Studer:
Siamese Neural Networks for Wireless Positioning and Channel Charting. - Felipe Vico, Leslie Greengard, Michael O'Neil, Manas Rachh:
A fast boundary integral method for high-order multiscale mesh generation. - Ali Hatamizadeh, Debleena Sengupta, Demetri Terzopoulos:
End-to-End Deep Convolutional Active Contours for Image Segmentation. - Jung Hoon Lee:
Libraries of hidden layer activity patterns can lead to better understanding of operating principles of deep neural networks. - Jacob Krantz, Maxwell Dulin, Paul De Palma:
Language-Agnostic Syllabification with Neural Sequence Labeling. - Nasser Aldaghri, Hessam Mahdavifar:
Threshold-Secure Coding with Shared Key. - Subhrajit Sinha, Umesh Vaidya, Enoch Yeung:
Information Transfer in Dynamical Systems and Optimal Placement of Actuators and Sensors for Control of Non-equilibrium Dynamics. - Kartik Chandra, Erik Meijer, Samantha Andow, Emilio Arroyo-Fang, Irene Dea, Johann George, Melissa Grueter, Basil Hosmer, Steffi Stumpos, Alanna Tempest, Shannon Yang:
Gradient Descent: The Ultimate Optimizer. - Neal Gupta, W. Ronny Huang, Liam Fowl, Chen Zhu, Soheil Feizi, Tom Goldstein, John P. Dickerson:
Strong Baseline Defenses Against Clean-Label Poisoning Attacks. - Avia Efrat, Elad Segal, Mor Shoham:
Tag-based Multi-Span Extraction in Reading Comprehension. - Wen Kokke, J. Garrett Morris, Philip Wadler:
Towards Races in Linear Logic. - Jiacheng Pan, Hongyi Sun, Kecheng Xu, Yifei Jiang, Xiangquan Xiao, Jiangtao Hu, Jinghao Miao:
Lane Attention: Predicting Vehicles' Moving Trajectories by Learning Their Attention over Lanes. - Huaian Diao, Rajesh Jayaram, Zhao Song, Wen Sun, David P. Woodruff:
Optimal Sketching for Kronecker Product Regression and Low Rank Approximation. - Sunil Gandhi, Tim Oates, Tinoosh Mohsenin, Nicholas R. Waytowich:
Learning from Observations Using a Single Video Demonstration and Human Feedback. - Benjamin Busam, Matthieu Hog, Steven McDonagh, Gregory G. Slabaugh:
SteReFo: Efficient Image Refocusing with Stereo Vision. - Caiwen Ding, Shuo Wang, Ning Liu, Kaidi Xu, Yanzhi Wang, Yun Liang:
REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs. - Zinan Lin, Alankar Jain, Chen Wang, Giulia Fanti, Vyas Sekar:
Generating High-fidelity, Synthetic Time Series Datasets with DoppelGANger. - Renato Negrinho, Darshan Patil, Nghia Le, Daniel Ferreira, Matthew R. Gormley, Geoffrey J. Gordon:
Towards modular and programmable architecture search. - Pawel Widera, Paco M. J. Welsing, Christoph Ladel, John Loughlin, Floris P. F. J. Lafeber, Florence Petit Dop, Jonathan Larkin, Harrie Weinans, Ali Mobasheri, Jaume Bacardit:
Multi-classifier prediction of knee osteoarthritis progression from incomplete imbalanced longitudinal data. - Zhenlin Fan, Guoqiang Zhong:
SymmetricNet: A mesoscale eddy detection method based on multivariate fusion data. - Qiao Zhang, Chang Chen, Weidong Chen, Jun Ding, Hualiang Zhang:
Novel Balanced Single/Dual-band Bandpass Filters Based on Circular Patch Resonator. - Gines Hidalgo, Yaadhav Raaj, Haroon Idrees, Donglai Xiang, Hanbyul Joo, Tomas Simon, Yaser Sheikh:
Single-Network Whole-Body Pose Estimation. - Yiheng Zhou, Yulia Tsvetkov, Alan W. Black, Zhou Yu:
Augmenting Non-Collaborative Dialog Systems with Explicit Semantic and Strategic Dialog History. - Yiheng Zhou, He He, Alan W. Black, Yulia Tsvetkov:
A Dynamic Strategy Coach for Effective Negotiation. - Yusen Huo, Qinghua Tao, Jianming Hu:
Tensor-based Cooperative Control for Large Scale Multi-intersection Traffic Signal Using Deep Reinforcement Learning and Imitation Learning. - Ian P. Gent, Toby Walsh:
CSPLib: Twenty Years On. - Juho Lee, Yoonho Lee, Yee Whye Teh:
Deep Amortized Clustering. - Lifu Tu, Xiaoan Ding, Dong Yu, Kevin Gimpel:
Generating Diverse Story Continuations with Controllable Semantics. - Ye Wang, Xiaodan Xi, Michael Orshansky:
Lattice PUF: A Strong Physical Unclonable Function Provably Secure against Machine Learning Attacks. - Nalin Chhibber, Edith Law:
Using Conversational Agents To Support Learning By Teaching. - Hiromi Tanaka:
A note on undecidability of propositional non-associative linear logics. - Xinlin Li, Vahid Partovi Nia:
Random Bias Initialization Improving Binary Neural Network Training. - Maarten Van Segbroeck, Ahmed Zaid, Ksenia Kutsenko, Cirenia Huerta, Tinh Nguyen, Xuewen Luo, Björn Hoffmeister, Jan Trmal, Maurizio Omologo, Roland Maas:
DiPCo - Dinner Party Corpus. - Liqun Qi, Shenglong Hu, Xinzhen Zhang:
Biquadratic Tensors, Biquadratic Decomposition and Norms of Biquadratic Tensors. - Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin:
Improving Textual Network Learning with Variational Homophilic Embeddings. - Yuandong Tian:
Over-parameterization as a Catalyst for Better Generalization of Deep ReLU network. - Jie Liu, Xiao Yan, Xinyan Dai, Zhirong Li, James Cheng, Ming-Chang Yang:
Understanding and Improving Proximity Graph based Maximum Inner Product Search. - Edmond Shami:
Optionality and Convexity in ICT Networks. - Shin Kamada, Takumi Ichimura:
An Object Detection by using Adaptive Structural Learning of Deep Belief Network. - Inigo Jauregi Unanue, Ehsan Zare Borzeshi, Massimo Piccardi:
Regressing Word and Sentence Embeddings for Regularization of Neural Machine Translation. - Albert Mosella-Montoro, Javier Ruiz Hidalgo:
Residual Attention Graph Convolutional Network for Geometric 3D Scene Classification. - Damien Teney, Ehsan Abbasnejad, Anton van den Hengel:
On Incorporating Semantic Prior Knowlegde in Deep Learning Through Embedding-Space Constraints. - Martin Royer, Frédéric Chazal, Yuichi Ike, Yuhei Umeda:
ATOL: Automatic Topologically-Oriented Learning. - Monimoy Bujarbaruah, Xiaojing Zhang, Marko Tanaskovic, Francesco Borrelli:
Adaptive MPC under Time Varying Uncertainty: Robust and Stochastic. - Alexandros Stergiou, Ronald Poppe:
Spatio-Temporal FAST 3D Convolutions for Human Action Recognition. - Kartik Gupta, Lars Petersson, Richard Hartley:
CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation. - Shin Kamada, Takumi Ichimura:
A Video Recognition Method by using Adaptive Structural Learning of Long Short Term Memory based Deep Belief Network. - Takumi Ichimura, Shin Kamada:
Re-learning of Child Model for Misclassified data by using KL Divergence in AffectNet: A Database for Facial Expression. - Joseph Y. Halpern:
The Book of Why: Review. - Stuart Eiffert, Salah Sukkarieh:
Predicting Responses to a Robot's Future Motion using Generative Recurrent Neural Networks. - Guang-He Lee, Tommi S. Jaakkola:
Locally Constant Networks. - Xueyang Kang, Shunying Yuan:
Robust Data Association for Object-level Semantic SLAM. - Aidana Karipbayeva, Alena Sorokina, Zhenisbek Assylbekov:
A Critique of the Smooth Inverse Frequency Sentence Embeddings. - Guang-Yuan Hao, Hong-Xing Yu, Wei-Shi Zheng:
DSRGAN: Explicitly Learning Disentangled Representation of Underlying Structure and Rendering for Image Generation without Tuple Supervision. - Vahan Nanumyan, Christian Zingg, Frank Schweitzer:
Citations Driven by Social Connections? A Multi-Layer Representation of Coauthorship Networks. - Matthieu Brachet, Jean-Paul Chehab:
Fast and Stable Schemes for Phase Fields Models. - Yao Wan, Jingdong Shu, Yulei Sui, Guandong Xu, Zhou Zhao, Jian Wu, Philip S. Yu:
Multi-Modal Attention Network Learning for Semantic Source Code Retrieval. - Gabriel Kalweit, Maria Hügle, Joschka Boedecker:
Off-policy Multi-step Q-learning. - Sho Yoshimura, Masaki Inoue:
Trajectory Planning of Weakly Supervised Aircraft. - Shion Honda, Hirotaka Akita, Katsuhiko Ishiguro, Toshiki Nakanishi, Kenta Oono:
Graph Residual Flow for Molecular Graph Generation. - Shunzhi Yang, Zheng Gong, Kai Ye, Yungen Wei, Zheng Huang, Zhenhua Huang:
EdgeCNN: Convolutional Neural Network Classification Model with small inputs for Edge Computing. - Joanna Rownicka, Peter Bell, Steve Renals:
Embeddings for DNN speaker adaptive training. - Brijnesh J. Jain, Vincent Froese, David Schultz:
An Average-Compress Algorithm for the Sample Mean Problem under Dynamic Time Warping. - Fan Yao, Kathy Ngyugen, Sai Santosh Dayapule, Jingxin Wu, Bingqian Liu, Suresh Subramaniam, Guru Venkataramani:
HolDCSim: A Holistic Simulator for Data Centers. - Max-Heinrich Laves, Sontje Ihler, Karl-Philipp Kortmann, Tobias Ortmaier:
Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference. - Kshitij Agrawal, Anbumani Subramanian:
Enhancing Object Detection in Adverse Conditions using Thermal Imaging. - Luigi Palmieri, Leonard Bruns, Michael Meurer, Kai Oliver Arras:
Dispertio: Optimal Sampling for Safe Deterministic Sampling-Based Motion Planning. - David Sigtermans:
Towards a framework for observational causality from time series: when Shannon meets Turing. - Lorenc Kapllani, Long Teng:
Multistep schemes for solving backward stochastic differential equations on GPU. - Yizhe Wu, Sudhanshu Kasewa, Oliver Groth, Sasha Salter, Li Sun, Oiwi Parker Jones, Ingmar Posner:
Imagine That! Leveraging Emergent Affordances for Tool Synthesis in Reaching Tasks. - Nikolaos P. Bakas:
Training-Free Artificial Neural Networks. - Nikolaos P. Bakas:
Taylor Polynomials in High Arithmetic Precision as Universal Approximators. - Ke Li, Minhui Liao, Kalyanmoy Deb, Geyong Min, Xin Yao:
Does Preference Always Help? A Holistic Study on Preference-Based Evolutionary Multi-Objective Optimisation Using Reference Points. - Kia Dashtipour, Mandar Gogate, Jingpeng Li, Fengling Jiang, Bin Kong, Amir Hussain:
A Hybrid Persian Sentiment Analysis Framework: Integrating Dependency Grammar Based Rules and Deep Neural Networks. - Lukas Brinkmeyer, Rafael Rêgo Drumond, Randolf Scholz, Josif Grabocka, Lars Schmidt-Thieme:
Chameleon: Learning Model Initializations Across Tasks With Different Schemas. - Etienne Bennequin:
Meta-learning algorithms for Few-Shot Computer Vision. - Jie Bai, Linjing Li, Daniel Zeng:
Spread-gram: A spreading-activation schema of network structural learning. - Maria Hügle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker:
Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving. - Dongdong Yu, Kai Su, Hengkai Guo, Jian Wang, Kaihui Zhou, Yuanyuan Huang, Minghui Dong, Jie Shao, Changhu Wang:
Towards Good Practices for Video Object Segmentation. - Laura Rieger, Chandan Singh, W. James Murdoch, Bin Yu:
Interpretations are useful: penalizing explanations to align neural networks with prior knowledge. - Federico Ferrari, Ole Sigmund:
Towards solving large scale topology optimization problems with buckling constraints at the cost of linear analyses. - Md. Noor-A-Rahim, Zilong Liu, Haeyoung Lee, G. G. Md. Nawaz Ali, Dirk Pesch, Pei Xiao:
A Survey on Resource Allocation in Vehicular Networks. - Minghao Chen, Hongyang Xue, Deng Cai:
Domain Adaptation for Semantic Segmentation with Maximum Squares Loss. - Efe Camci, Erdal Kayacan:
End-to-End Motion Planning of Quadrotors Using Deep Reinforcement Learning. - Chih-Hong Cheng:
Towards Robust Direct Perception Networks for Automated Driving. - Maximilian Jaritz, Jiayuan Gu, Hao Su:
Multi-view PointNet for 3D Scene Understanding. - Ramon Janssen, Frits W. Vaandrager, Jan Tretmans:
Relating Alternating Relations for Conformance and Refinement. - Nhan Thanh Nguyen, Kyungchun Lee:
Groupwise Neighbor Examination for Tabu Search Detection in Large MIMO systems. - Haotian Fu, Hongyao Tang, Jianye Hao:
Efficient meta reinforcement learning via meta goal generation. - Dipankar Maity, Panagiotis Tsiotras:
Optimal Controller and Quantizer Selection for Partially Observable Linear-Quadratic-Gaussian Systems. - An-phi Nguyen, María Rodríguez Martínez:
MonoNet: Towards Interpretable Models by Learning Monotonic Features. - Tao Wen, Yong Deng:
The vulnerability of communities in complex network: An entropy approach. - Marek Blasik:
Numerical method for the one phase 1D fractional Stefan problem supported by an artificial neural network. - Ameer Haj-Ali, Nesreen K. Ahmed, Theodore L. Willke, Yakun Sophia Shao, Krste Asanovic, Ion Stoica:
NeuroVectorizer: End-to-End Vectorization with Deep Reinforcement Learning. - Tao Wen, Danilo Pelusi, Yong Deng:
Vital Spreaders Identification in Complex Networks with Multi-Local Dimension. - Emma Tosch, Eytan Bakshy, Emery D. Berger, David D. Jensen, J. Eliot B. Moss:
PlanAlyzer: Assessing Threats to the Validity of Online Experiments. - Tian Zhao, Yaqi Zhang, Kunle Olukotun:
Serving Recurrent Neural Networks Efficiently with a Spatial Accelerator. - Yupeng Jiang, Minchen Li, Chenfanfu Jiang, Fernando Alonso-marroquin:
A hybrid material-point spheropolygon-element method for solid and granular material interaction. - László Csirmaz:
Secret sharing and duality. - Victor Prokhorov, Ehsan Shareghi, Yingzhen Li, Mohammad Taher Pilehvar, Nigel Collier:
On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation. - Se Kwon Lee, Jayashree Mohan, Sanidhya Kashyap, Taesoo Kim, Vijay Chidambaram:
RECIPE : Converting Concurrent DRAM Indexes to Persistent-Memory Indexes. - Peter Bastian, Markus Blatt, Andreas Dedner, Nils-Arne Dreier, Christian Engwer, René Fritze, Carsten Gräser, Dominic Kempf, Robert Klöfkorn, Mario Ohlberger, Oliver Sander:
The DUNE Framework: Basic Concepts and Recent Developments. - Fang-Jing Wu, Gürkan Solmaz:
CrowdEstimator: Approximating Crowd Sizes with Multi-modal Data for Internet-of-Things Services. - Steven P. Reiss:
Continuous Flow Analysis to Detect Security Problems. - David Semedo, João Magalhães:
Diachronic Cross-modal Embeddings. - Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán:
Style Transfer by Rigid Alignment in Neural Net Feature Space. - Danielle Gonzalez, Holly Hastings, Mehdi Mirakhorli:
Automated Characterization of Software Vulnerabilities. - He Ye, Matias Martinez, Martin Monperrus:
Automated Patch Assessment for Program Repair at Scale. - Saeid Samadi, Stéphane Caron, Arnaud Tanguy, Abderrahmane Kheddar:
Balance of Humanoid robot in Multi-contact and Sliding Scenarios. - Yuyang Gao, Giorgio A. Ascoli, Liang Zhao:
BEAN: Interpretable Representation Learning with Biologically-Enhanced Artificial Neuronal Assembly Regularization. - Aashish Sharma, Robby T. Tan, Loong-Fah Cheong:
Depth Estimation in Nighttime using Stereo-Consistent Cyclic Translations. - Ming Zhong, Danqing Wang, Pengfei Liu, Xipeng Qiu, Xuanjing Huang:
A Closer Look at Data Bias in Neural Extractive Summarization Models. - Lionel Montrieux, Rogério de Lemos, Chris Bailey:
Engineering Self-adaptive Authorisation Infrastructures. - Kurumi Shiroma, Yusaku Yamamoto:
Fixed-point analysis of Ogita-Aishima's symmetric eigendecomposition refinement algorithm for multiple eigenvalues. - John A. Nairn:
Exact Calculation of Expected Values for Splitting Pairs in Blackjack. - Eda Okur, Shachi H. Kumar, Saurav Sahay, Lama Nachman:
Towards Multimodal Understanding of Passenger-Vehicle Interactions in Autonomous Vehicles: Intent/Slot Recognition Utilizing Audio-Visual Data. - Ana Valeria González-Garduño, Isabelle Augenstein, Anders Søgaard:
Retrieval-based Goal-Oriented Dialogue Generation. - Navid Zobeiry, Keith D. Humfeld:
An Iterative Scientific Machine Learning Approach for Discovery of Theories Underlying Physical Phenomena. - Ekin D. Cubuk, Barret Zoph, Jonathon Shlens, Quoc V. Le:
RandAugment: Practical data augmentation with no separate search. - Andrey Sapegin, Christoph Meinel:
K-Metamodes: frequency- and ensemble-based distributed k-modes clustering for security analytics. - Felipe Gomez Marulanda, Pieter Libin, Timothy Verstraeten, Ann Nowé:
IPC-Net: 3D point-cloud segmentation using deep inter-point convolutional layers. - David Semedo, João Magalhães:
Cross-Modal Subspace Learning with Scheduled Adaptive Margin Constraints. - Andrea Bressan, Michael S. Floater, Espen Sande:
On the best constants in L2 approximation. - Divya Gopinath, Rohan Kodialam, Kevin Lu, Jayson Lynch, Santiago Ospina:
Hamiltonicity in Semi-Regular Tessellation Dual Graphs. - Maryam Alizadeh, Maliheh Heydarpour Shahrezaei, Farajollah Tahernezhad-Javazm:
Ontology Based Information Integration: A Survey. - Tobias Breiten, Christopher A. Beattie, Serkan Gugercin:
H2-gap model reduction for stabilizable and detectable systems. - Mostafa Khalaji, Chitra Dadkhah:
FNHSM_HRS: Hybrid recommender system using fuzzy clustering and heuristic similarity measure. - Aloïs Brunel, Damiano Mazza, Michele Pagani:
Backpropagation in the Simply Typed Lambda-calculus with Linear Negation. - Martin Bauer, Sebastian Eibl, Christian Godenschwager, Nils Kohl, Michael Kuron, Christoph Rettinger, Florian Schornbaum, Christoph Schwarzmeier, Dominik Thönnes, Harald Köstler, Ulrich Rüde:
waLBerla: A block-structured high-performance framework for multiphysics simulations. - Vincent Goudard:
Ephemeral instruments. - Javed Iqbal, Mohsen Ali:
MLSL: Multi-Level Self-Supervised Learning for Domain Adaptation with Spatially Independent and Semantically Consistent Labeling. - Blai Bonet, Hector Geffner:
Causal Belief Decomposition for Planning with Sensing: Completeness Results and Practical Approximation. - Blai Bonet, Hector Geffner:
Factored Probabilistic Belief Tracking. - Samuel C. Pinto, Sean B. Andersson, Julien M. Hendrickx, Christos G. Cassandras:
Optimal Periodic Multi-Agent Persistent Monitoring of a Finite Set of Targets with Uncertain States. - Reuben Tan, Huijuan Xu, Kate Saenko, Bryan A. Plummer:
wMAN: Weakly-supervised Moment Alignment Network for Text-based Video Segment Retrieval. - Junxian He, Jiatao Gu, Jiajun Shen, Marc'Aurelio Ranzato:
Revisiting Self-Training for Neural Sequence Generation. - Peter Toth, Danilo Jimenez Rezende, Andrew Jaegle, Sébastien Racanière, Aleksandar Botev, Irina Higgins:
Hamiltonian Generative Networks. - Stefan Constantin, Jan Niehues, Alex Waibel:
Incremental processing of noisy user utterances in the spoken language understanding task. - Yunkai Wang, Shenhan Jia, Zexi Chen, Zheyuan Huang, Rong Xiong:
Multi-agent Collaboration for Feasible Collaborative Behavior Construction and Evaluation. - Xiaobing Feng, Stefan Schnake:
H1-norm error estimate for a nonstandard finite element approximation of second-order linear elliptic PDEs in non-divergence form. - Sijia Liu, Songtao Lu, Xiangyi Chen, Yao Feng, Kaidi Xu, Abdullah Al-Dujaili, Mingyi Hong, Una-May O'Reilly:
Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML. - Jan Moritz Joseph, Dominik Ermel, Lennart Bamberg, Alberto García Ortiz, Thilo Pionteck:
System-level optimization of Network-on-Chips for heterogeneous 3D System-on-Chips. - Ridha Nasri, Jalal Rachad, Laurent Decreusefond:
Radio Resource Dimensioning with Cox Process Based User Location Distribution. - Haitian Zheng, Lele Chen, Chenliang Xu, Jiebo Luo:
Unsupervised Pose Flow Learning for Pose Guided Synthesis. - Zhecheng An, Sicong Liu:
Towards Diverse Paraphrase Generation Using Multi-Class Wasserstein GAN. - Jinshuo Dong, David Durfee, Ryan Rogers:
Optimal Differential Privacy Composition for Exponential Mechanisms and the Cost of Adaptivity. - Darsh J. Shah, Tal Schuster, Regina Barzilay:
Automatic Fact-guided Sentence Modification. - Sami Alabed:
RLCache: Automated Cache Management Using Reinforcement Learning. - Octavio Antonio Villarreal-Magaña, Victor Barasuol, Patrick M. Wensing, Claudio Semini:
MPC-based Controller with Terrain Insight for Dynamic Legged Locomotion. - Markus Clemens, Bernhard Kähne, Sebastian Schöps:
A Darwin Time Domain Scheme for the Simulation of Transient Quasistatic Electromagnetic Fields Including Resistive, Capacitive and Inductive Effects. - Christoph Schorn, Thomas Elsken, Sebastian Vogel, Armin Runge, Andre Guntoro, Gerd Ascheid:
Automated design of error-resilient and hardware-efficient deep neural networks. - John D. Jakeman, Michael Eldred, Gianluca Geraci, Alex A. Gorodetsky:
Adaptive Multi-index Collocation for Uncertainty Quantification and Sensitivity Analysis. - Maximilian Baader, Matthew Mirman, Martin T. Vechev:
Universal Approximation with Certified Networks. - Raul Lopes, Ignasi Sau:
A relaxation of the Directed Disjoint Paths problem: a global congestion metric helps. - Aaron Steven White, Elias Stengel-Eskin, Siddharth Vashishtha, Venkata Subrahmanyan Govindarajan, Dee Ann Reisinger, Tim Vieira, Keisuke Sakaguchi, Sheng Zhang, Francis Ferraro, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme:
The Universal Decompositional Semantics Dataset and Decomp Toolkit. - Satya Narayan Shukla, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter:
Black-box Adversarial Attacks with Bayesian Optimization. - Yuan Deng, Jon Schneider, Balasubramanian Sivan:
Strategizing against No-regret Learners. - Adrian Bulat, Georgios Tzimiropoulos:
XNOR-Net++: Improved Binary Neural Networks. - Mackenzie W. Mathis, Alexander Mathis:
Deep learning tools for the measurement of animal behavior in neuroscience. - Rohan Chitnis, Tomás Lozano-Pérez:
Learning Compact Models for Planning with Exogenous Processes. - John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick:
Simple and Effective Paraphrastic Similarity from Parallel Translations. - Zhuqing Jia, Syed Ali Jafar:
Cross Subspace Alignment Codes for Coded Distributed Batch Matrix Multiplication. - Rohan Chitnis, Shubham Tulsiani, Saurabh Gupta, Abhinav Gupta:
Efficient Bimanual Manipulation Using Learned Task Schemas. - Tiago Ribeiro, Ana Paiva:
Expressive Inverse Kinematics Solving in Real-time for Virtual and Robotic Interactive Characters. - Pedro Hespanhol, Matthew Porter, Ram Vasudevan, Anil Aswani:
Sensor Switching Control Under Attacks Detectable by Finite Sample Dynamic Watermarking Tests. - Amanda Coston, Alexandra Chouldechova, Edward H. Kennedy:
Counterfactual Risk Assessments, Evaluation, and Fairness. - Dimitrios Dimitriadis:
Enhancements for Audio-only Diarization Systems. - Run Chen, Andrew L. Liu:
A Decomposition Method for Large-scale Convex Quadratically Constrained Quadratic Programs. - Ali Pour Yazdanpanah, Onur Afacan, Simon K. Warfield:
Deep Plug-and-Play Prior for Parallel MRI Reconstruction. - Dong Xia, Ming Yuan:
Statistical Inferences of Linear Forms for Noisy Matrix Completion. - Jinhui Xiong, Peter Richtárik, Wolfgang Heidrich:
Stochastic Convolutional Sparse Coding. - Francisco C. Pereira:
Rethinking travel behavior modeling representations through embeddings. - Reza Azad, Maryam Asadi-Aghbolaghi, Mahmood Fathy, Sergio Escalera:
Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions. - Tao Zhou, Yan-Li Lee, Guannan Wang:
Experimental analyses on 2-hop-based and 3-hop-based link prediction algorithms. - Chakresh Kumar Singh, Demival Vasques Filho, Shivakumar Jolad, Dion R. J. O'Neale:
Evolution of interdependent co-authorship and citation networks. - Xu Wang, Xin Yang, Haoran Dou, Shengli Li, Pheng-Ann Heng, Dong Ni:
Joint Segmentation and Landmark Localization of Fetal Femur in Ultrasound Volumes. - Vikas Ahuja, Vijay Kumar Neeluru:
Robust BGA Void Detection Using Multi Directional Scan Algorithms. - Marián Boguñá, Dmitri V. Krioukov, Pedro Almagro, M. Ángeles Serrano:
Small worlds and clustering in spatial networks. - Muhammad Usman Ghani, W. Clem Karl:
Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium. - Yunpeng Zhao:
A Note on New Bernstein-type Inequalities for the Log-likelihood Function of Bernoulli Variables. - Safiyeh Rezaei, Ali Emami, Hamidreza Zarrabi, Shima Rafiei, Kayvan Najarian, Nader Karimi, Shadrokh Samavi, S. M. Reza Soroushmehr:
Gland Segmentation in Histopathology Images Using Deep Networks and Handcrafted Features. - Zahra Sobhaninia, Shima Rafiei, Ali Emami, Nader Karimi, Kayvan Najarian, Shadrokh Samavi, S. M. Reza Soroushmehr:
Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters Using Multi-Task Deep Learning. - Daniel Beauchamp, Keith M. Chugg:
Machine Learning Based Image Calibration for a Twofold Time-Interleaved High Speed DAC. - Tan Hung Pham, Sripad Krishna Devalla, Aloysius Ang, Soh Zhi Da, Alexandre H. Thiéry, Craig Boote, Ching Yu Cheng, Victor Koh, Michael J. A. Girard:
Deep Learning Algorithms to Isolate and Quantify the Structures of the Anterior Segment in Optical Coherence Tomography Images. - Zijun Zhang, Linqi Zhou, Liangke Gou, Ying Nian Wu:
Neural Architecture Search for Joint Optimization of Predictive Power and Biological Knowledge. - Gustav Zickert, Can Evren Yarman:
Gaussian mixture model decomposition of multivariate signals. - Jiajun Xian, Dan Yang, Liming Pan, Wei Wang, Zhen Wang:
Misinformation spreading on correlated multiplex networks. - Yair Censor, Eliahu Levy:
An analysis of the superiorization method via the principle of concentration of measure. - Tamer Rakia, Fayez Gebali, Hong-Chuan Yang, Mohamed-Slim Alouini:
Performance Analysis of Multiuser FSO/RF Network Under Non-Equal Priority with P-Persistence Protocol. - Aniruddha Dutta, Tamal Batabyal, Meheli Basu, Scott T. Acton:
An Efficient Convolutional Neural Network for Coronary Heart Disease Prediction. - Yue Yu, Siyao Peng, Grace Hui Yang:
Modeling Long-Range Context for Concurrent Dialogue Acts Recognition. - Shahin Kamali, Avery Miller, Kenny Zhang:
Burning Two Worlds: Algorithms for Burning Dense and Tree-like Graphs. - Woong Bae, Seungho Lee, Yeha Lee, Beomhee Park, Minki Chung, Kyu-Hwan Jung:
Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation. - Walid Abdullah Al, Il Dong Yun, Kyong Joon Lee:
Reinforcement Learning-based Automatic Diagnosis of Acute Appendicitis in Abdominal CT. - Alok Kumar Kamal, Jawar Singh:
Ultra-Low Energy and High Speed LIF Neuron using Silicon Bipolar Impact Ionization MOSFET for Spiking Neural Networks. - Denis Belomestny, Leonid Iosipoi:
Fourier transform MCMC, heavy tailed distributions and geometric ergodicity. - Andrew Y. K. Foong, David R. Burt, Yingzhen Li, Richard E. Turner:
Pathologies of Factorised Gaussian and MC Dropout Posteriors in Bayesian Neural Networks. - Gianmarco Santini, Noémie Moreau, Mathieu Rubeaux:
Kidney tumor segmentation using an ensembling multi-stage deep learning approach. A contribution to the KiTS19 challenge. - Stephen Whitelam, Daniel Jacobson, Isaac Tamblyn:
Evolutionary reinforcement learning of dynamical large deviations. - Visu Makam, Avi Wigderson:
Singular tuples of matrices is not a null cone (and, the symmetries of algebraic varieties). - Yuyin Zhou, Yingwei Li, Zhishuai Zhang, Yan Wang, Angtian Wang, Elliot K. Fishman, Alan L. Yuille, Seyoun Park:
Hyper-Pairing Network for Multi-Phase Pancreatic Ductal Adenocarcinoma Segmentation. - Yuris Mulya Saputra, Dinh Thai Hoang, Diep N. Nguyen, Eryk Dutkiewicz, Markus Dominik Mueck, Srikathyayani Srikanteswara:
Energy Demand Prediction with Federated Learning for Electric Vehicle Networks. - Qi Deng, Chenghao Lan:
Efficiency of Coordinate Descent Methods For Structured Nonconvex Optimization. - Dmitry Golovaty, José Alberto Montero, Daniel Spirn:
A variational method for generating n-cross fields using higher-order Q-tensors. - Salomón Wollenstein-Betech, Chuangchuang Sun, Jing Zhang, Ioannis Ch. Paschalidis:
Joint Estimation of OD Demands and Cost Functions in Transportation Networks from Data. - Hilmi E. Egilmez, Yung Hsuan Chao, Antonio Ortega:
Graph-based Transforms for Video Coding. - Christine Evers, Heinrich W. Löllmann, Heinrich Mellmann, Alexander Schmidt, Hendrik Barfuss, Patrick A. Naylor, Walter Kellermann:
The LOCATA Challenge: Acoustic Source Localization and Tracking. - Laszlo Gyongyosi, Sándor Imre:
State Stabilization for Gate-Model Quantum Computers. - Laszlo Gyongyosi, Sándor Imre:
Training Optimization for Gate-Model Quantum Neural Networks. - Yanning Zhou, Simon Graham, Navid Alemi Koohbanani, Muhammad Shaban, Pheng-Ann Heng, Nasir M. Rajpoot:
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images. - Cecilia Ostertag, Marie Beurton-Aimar, Thierry Urruty:
3DSiameseNet to Analyze Brain MRI. - Siyuan Wang, Junjie Lv, Yuanyuan Hu, Dong Liang, Minghui Zhang, Qiegen Liu:
Denoising Auto-encoding Priors in Undecimated Wavelet Domain for MR Image Reconstruction. - Xiaopeng Luo, Xin Xu:
Continuous optimization. - Mikael Brudfors, Yaël Balbastre, Parashkev Nachev, John Ashburner:
A Tool for Super-Resolving Multimodal Clinical MRI. - Peng Liu, Xixin Wu, Shiyin Kang, Guangzhi Li, Dan Su, Dong Yu:
Maximizing Mutual Information for Tacotron. - Víctor M. Campello, Carlos Martín-Isla, Cristian Izquierdo, Steffen E. Petersen, Miguel Ángel González Ballester, Karim Lekadir:
Combining Multi-Sequence and Synthetic Images for Improved Segmentation of Late Gadolinium Enhancement Cardiac MRI. - Leonardo Martínez-Sandoval, Arnau Padrol:
The convex dimension of hypergraphs and the hypersimplicial Van Kampen-Flores Theorem. - Guy W. Cole, Sinead A. Williamson:
Avoiding Resentment Via Monotonic Fairness. - Jun-Jie Jiang, Ying-Cheng Lai:
Irrelevance of linear controllability to nonlinear dynamical networks. - Michal Gnacik, Tomasz Kania:
Inverse problems for symmetric doubly stochastic matrices whose Suleĭmanova spectra are to be bounded below by 1/2. - Charlotte Frenkel, Martin Lefebvre, David Bol:
Learning without feedback: Direct random target projection as a feedback-alignment algorithm with layerwise feedforward training. - Jing Jin, Junhui Hou, Jie Chen, Huanqiang Zeng, Sam Kwong, Jingyi Yu:
Flexible, Fast and Accurate Densely-Sampled Light Field Reconstruction Network. - Steven D. Morad, Himangshu Kalita, Ravi Teja Nallapu, Jekan Thangavelautham:
Building Small-Satellites to Live Through the Kessler Effect. - Stefano Carrazza, Frédéric A. Dreyer:
Lund jet images from generative and cycle-consistent adversarial networks. - Luyao Shi, John A. Onofrey, Enette Mae Revilla, Takuya Toyonaga, David Menard, Joseph Ankrah, Richard E. Carson, Chi Liu, Yihuan Lu:
A Novel Loss Function Incorporating Imaging Acquisition Physics for PET Attenuation Map Generation using Deep Learning. - Iryna Korshunova, Hanchen Xiong, Mateusz Fedoryszak, Lucas Theis:
Discriminative Topic Modeling with Logistic LDA. - Dhruv Mubayi, Jacques Verstraëte:
A note on Pseudorandom Ramsey graphs. - Xingye Qiao, Jiexin Duan, Guang Cheng:
Rates of Convergence for Large-scale Nearest Neighbor Classification. - Stephan Mertens, Cristopher Moore:
Percolation is Odd. - Parth Natekar, Avinash Kori, Ganapathy Krishnamurthi:
Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis. - Mathias Lécuyer, Riley Spahn, Kiran Vodrahalli, Roxana Geambasu, Daniel Hsu:
Privacy Accounting and Quality Control in the Sage Differentially Private ML Platform. - Dongyang Xu, Pinyi Ren, Yichen Wang, James A. Ritcey:
Fundamental Tradeoffs in Uplink Grant-Free Multiple Access with Protected CSI. - Dakai Jin, Dazhou Guo, Tsung-Ying Ho, Adam P. Harrison, Jing Xiao, Chen-Kan Tseng, Le Lu:
Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT using Two-Stream Chained 3D Deep Network Fusion. - Chenwei Ding, Mingming Gong, Kun Zhang, Dacheng Tao:
Likelihood-Free Overcomplete ICA and Applications in Causal Discovery. - Dakai Jin, Dazhou Guo, Tsung-Ying Ho, Adam P. Harrison, Jing Xiao, Chen-Kan Tseng, Le Lu:
Deep Esophageal Clinical Target Volume Delineation using Encoded 3D Spatial Context of Tumors, Lymph Nodes, and Organs At Risk. - Jaesung Choi, Pilwon Kim:
Reservoir Computing based on Quenched Chaos. - Siddharth Ramchandran, Miika Koskinen, Harri Lähdesmäki:
Latent Gaussian process with composite likelihoods for data-driven disease stratification. - Raabid Hussain, Alain Lalande, Kibrom Berihu Girum, Caroline Guigou, Alexis Bozorg Grayeli:
3D landmark detection for augmented reality based otologic procedures. - Léo Gautheron, Emilie Morvant, Amaury Habrard, Marc Sebban:
Metric Learning from Imbalanced Data. - Ján Komara:
Efficient elimination of Skolem functions in first-order logic without equality. - Mohammad Akbari, Rumi Chunara:
Using Contextual Information to Improve Blood Glucose Prediction. - Merzuk Kaltak, Georg Kresse:
Minimax Isometry Method. - Andrei Alexandru, Gabriel Ciobanu:
Finitely Supported Sets Containing Infinite Uniformly Supported Subsets. 120-134 - Mark M. Wilde:
Optimal uniform continuity bound for conditional entropy of classical-quantum states. - Nestor Pereira, Miguel Ángel Hombrados-Herrera, Vanessa Gómez-Verdejo, Andrea A. Mammoli, Manel Martínez-Ramón:
Data Selection for Short Term load forecasting. - Carl Jidling, Johannes N. Hendriks, Thomas B. Schön, Adrian Wills:
Deep kernel learning for integral measurements. - Ashutosh Tiwari, Avadh Bihari Narayan, Onkar Dikshit:
Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing. - Davide Barbieri, Carlos Cabrelli, Eugenio Hernández, Ursula Molter:
Optimal translational-rotational invariant dictionaries for images. - Jarrod Olson, Po-Hsu Allen Chen, Marissa White, Nicole M. Brennan, Ning Gong:
State Drug Policy Effectiveness: Comparative Policy Analysis of Drug Overdose Mortality. - Eduardo H. P. Pooch, Pedro L. Ballester, Rodrigo C. Barros:
Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification. - Aman Shrivastava, William Adorno, Lubaina Ehsan, S. Asad Ali, Sean R. Moore, Beatrice C. Amadi, Paul Kelly, Donald E. Brown, Sana Syed:
Self-Attentive Adversarial Stain Normalization. - Darij Grinberg, Fedor Petrov:
A greedoid and a matroid inspired by Bhargava's p-orderings. - Camille Pouchol, Olivier Verdier:
The ML-EM algorithm in continuum: sparse measure solutions. - Arash A. Amini, Bryon Aragam, Qing Zhou:
On perfectness in Gaussian graphical models. - Zihui Wu, Yu Sun, Jiaming Liu, Ulugbek S. Kamilov:
Online Regularization by Denoising with Applications to Phase Retrieval. - Lixue Cheng, Nikola B. Kovachki, Matthew Welborn, Thomas F. Miller III:
Regression-clustering for Improved Accuracy and Training Cost with Molecular-Orbital-Based Machine Learning. - Basel Alyafi, Oliver Díaz, Robert Martí:
DCGANs for Realistic Breast Mass Augmentation in X-ray Mammography. - Yang Chen, Cheng Cheng, Qiyu Sun:
Phase retrieval of complex and vector-valued functions. - Arun K. Kuchibhotla, Rohit K. Patra:
On Least Squares Estimation under Heteroscedastic and Heavy-Tailed Errors. - John T. Halloran, David M. Rocke:
Gradients of Generative Models for Improved Discriminative Analysis of Tandem Mass Spectra. - Yifei Wang, Wuchen Li:
Accelerated Information Gradient flow. - James Stokes, Josh A. Izaac, Nathan Killoran, Giuseppe Carleo:
Quantum Natural Gradient. - B. Ahmmed, Maruti Kumar Mudunuru, Satish Karra, S. C. James, Hari S. Viswanathan, John A. Dunbar:
PFLOTRAN-SIP: A PFLOTRAN Module for Simulating Spectral-Induced Polarization of Electrical Impedance Data. - John T. Halloran, David M. Rocke:
Learning Concave Conditional Likelihood Models for Improved Analysis of Tandem Mass Spectra. - Anousheh Gholami, Usman A. Fiaz, John S. Baras:
Drone-Assisted Communications for Remote Areas and Disaster Relief. - Justin Chen, Christopher Eur, Greg Yang, Mengyuan Zhang:
Free resolutions of function classes via order complexes. - Alessandro Fontana:
Towards a general model for psychopathology. - Lin Lin, Yu Tong:
Low-rank representation of tensor network operators with long-range pairwise interactions. - Krishna Dasaratha, Kevin He:
An Experiment on Network Density and Sequential Learning. - Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin, Mohammad Sadegh Aliakbarian, Antonio Robles-Kelly:
Super-resolved Chromatic Mapping of Snapshot Mosaic Image Sensors via a Texture Sensitive Residual Network. - Alexey B. Iskakov, Igor B. Yadykin:
Lyapunov modal analysis and participation factors with applications to small-signal stability of power systems. - Sanjaya Lohani, Ryan T. Glasser:
Generative Machine Learning for Robust Free-Space Communication. - Kei Takemura, Shinji Ito:
An Arm-Wise Randomization Approach to Combinatorial Linear Semi-Bandits. - H. Peter Gumm:
Connected monads weakly preserve products. - Péter L. Erdös, Ervin Györi, Tamás Róbert Mezei, István Miklós, Daniel Soltész:
A non-P-stable class of degree sequences for which the swap Markov chain is rapidly mixing. - Nantheera Anantrasirichai, Juliet Biggs, Fabien Albino, David R. Bull:
The application of Convolutional Neural Networks to Detect Slow, Sustained Deformation in InSAR Timeseries. - S. V. Rotin, I. V. Gusakov, V. Ya. Gusakov:
A simple parallelizable method for the approximate solution of a quadratic transportation problem of large dimension with additional constraints. - László Csirmaz:
Sticky matroids and convolution. - Wei Zhou, Likun Shi, Zhibo Chen:
Tensor Oriented No-Reference Light Field Image Quality Assessment. - Yanbin Liu, Makoto Yamada, Yao-Hung Hubert Tsai, Tam Le, Ruslan Salakhutdinov, Yi Yang:
LSMI-Sinkhorn: Semi-supervised Squared-Loss Mutual Information Estimation with Optimal Transport. - Murat Dundar, Bethany L. Ehlmann, Ellen K. Leask:
Machine-Learning-Driven New Geologic Discoveries at Mars Rover Landing Sites: Jezero and NE Syrtis. - Gianluca Milano, Giacomo Pedretti, Matteo Fretto, Luca Boarino, Fabio Benfenati, Daniele Ielmini, Ilia Valov, Carlo Ricciardi:
Self-organizing memristive nanowire networks with structural plasticity emulate biological neuronal circuits. - Hao Wu, Xinchen Lyu, Hui Tian:
Online Optimization of Wireless Powered Mobile-Edge Computing for Heterogeneous Industrial Internet of Things. - Weizhong Wang, Nicholas W. Brady, Chenyao Liao, Youssef A. Fahmy, Ephrem Chemali, Alan C. West, Matthias Preindl:
High-Fidelity State-of-Charge Estimation of Li-Ion Batteries Using Machine Learning. - Dan Wu, Bin Wang, Kai Sun, Le Xie:
On Distribution Patterns of Power Flow Solutions. - Xianda Deng, Kyle Thomas, Huiying Huang, Scott P. Adams, Hesen Liu:
Online Dissolved Gas Analysis (DGA) Monitoring System. - Qiong Li, Yaxing Wang, Haokun Mao, Jiameng Yao, Qi Han:
Analytical Model and Topology Evaluation of Quantum Secure Communication Network. - Dechun Wang, Ning Zhang, Xinzi Sun, Pengfei Zhang, Chenxi Zhang, Yu Cao, Benyuan Liu:
AFP-Net: Realtime Anchor-Free Polyp Detection in Colonoscopy. - Felix Leditzky, Mohammad A. Alhejji, Joshua Levin, Graeme Smith:
Playing Games with Multiple Access Channels. - David Pfau, James S. Spencer, Alexander G. de G. Matthews, W. Matthew C. Foulkes:
Ab-Initio Solution of the Many-Electron Schrödinger Equation with Deep Neural Networks. - Bo Zhou, Adam P. Harrison, Jiawen Yao, Chi-Tung Cheng, Jing Xiao, Chien-Hung Liao, Le Lu:
CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT. - Sanjaya Lohani, Ryan T. Glasser:
Coherent Optical Communications Enhanced by Machine Intelligence. - Sanjaya Lohani, Erin M. Knutson, Wenlei Zhang, Ryan T. Glasser:
Dispersion Characterization and Pulse Prediction with Machine Learning. - Yichun Hu, Nathan Kallus, Xiaojie Mao:
Smooth Contextual Bandits: Bridging the Parametric and Non-differentiable Regret Regimes. - Tyler Schrock, Rafael M. Frongillo:
Computational Complexity of k-Block Conjugacy. - Christoph Dinh, John G. W. Samuelsson, Alexander Hunold, Matti S. Hämäläinen, Sheraz Khan:
Contextual Minimum-Norm Estimates (CMNE): A Deep Learning Method for Source Estimation in Neuronal Networks. - Linde S. Hesse, Grey Kuling, Mitko Veta, Anne L. Martel:
Intensity augmentation for domain transfer of whole breast segmentation in MRI. - Gautam Mantena, Ozlem Kalinli, Ossama Abdel-Hamid, Don McAllaster:
Bandwidth Embeddings for Mixed-bandwidth Speech Recognition. - He Guo, Lutz Warnke:
Bounds on Ramsey Games via Alterations. - Hasan Basri Çelebi, Antonios Pitarokoilis, Mikael Skoglund:
Low-Latency Communication with Computational Complexity Constraints. - Takehisa Yamakita:
Eelgrass beds and oyster farming at a lagoon before and after the Great East Japan Earthquake 2011: potential to apply deep learning at a coastal area. - Wenqing Su, Xiao Guo, Hai Zhang:
Differentially Private Precision Matrix Estimation. - Sebastian Werner, Henrik Schäfer, Matthias B. Hullin:
A new operation mode for depth-focused high-sensitivity ToF range finding. - Chia-Wei Tsai, Chun-Wei Yang:
Lightweight Mediated Semi-Quantum Key Distribution Protocol with a Dishonest Third Party based on Bell States. - Boris Shirokikh, Alexandra Dalechina, Alexey Shevtsov, Egor Krivov, Valery Kostjuchenko, Amayak Durgaryan, Mikhail Galkin, Ivan Osinov, Andrey Golanov, Mikhail Belyaev:
Deep Learning for Brain Tumor Segmentation in Radiosurgery: Prospective Clinical Evaluation. - Thomas J. Elliott, Chengran Yang, Felix C. Binder, Andrew J. P. Garner, Jayne Thompson, Mile Gu:
Extreme dimensional compression with quantum modelling. - Udaya Sampath K. Perera Miriya Thanthrige, Aya Mostafa Ahmed, Aydin Sezgin:
Supervised Learning Based Super Resolution DOA Estimation Utilizing Antenna Array Subsets. - Priyadarshini Adyasha Pattanaik, Zelong Wang, Patrick Horain:
Deep CNN frameworks comparison for malaria diagnosis. - Gianluca Boccardo, Eleonora Crevacore, Alberto Passalacqua, Matteo Icardi:
Computational analysis of transport in three-dimensional heterogeneous materials. - Geoflly L. Adonias, Anastasia Yastrebova, Michael Taynnan Barros, Yevgeni Koucheryavy, Frances Cleary, Sasitharan Balasubramaniam:
Utilizing Neurons for Digital Logic Circuits: A Molecular Communications Analysis. - Dimas Abreu Archanjo Dutra:
Collocation-Based Output-Error Method for Aircraft System Identification. - Valentin Bouquet, François Delbot, Christophe Picouleau:
On the vertices belonging to all, some, none minimum dominating set. - Abigail Lee-Leon, Chau Yuen, Dorien Herremans:
Doppler Invariant Demodulation for Shallow Water Acoustic Communications Using Deep Belief Networks. - Jan Mizgajski, Adrian Szymczak, Robert Glowski, Piotr Szymanski, Piotr Zelasko, Lukasz Augustyniak, Mikolaj Morzy, Yishay Carmiel, Jeff Hodson, Lukasz Wójciak, Daniel Smoczyk, Adam Wróbel, Bartosz Borowik, Adam Artajew, Marcin Baran, Cezary Kwiatkowski, Marzena Zyla-Hoppe:
Avaya Conversational Intelligence: A Real-Time System for Spoken Language Understanding in Human-Human Call Center Conversations. - Khaled Koutini, Hamid Eghbal-zadeh, Gerhard Widmer:
Receptive-field-regularized CNN variants for acoustic scene classification. - Paul Primus, Hamid Eghbal-zadeh, David Eitelsebner, Khaled Koutini, Andreas Arzt, Gerhard Widmer:
Exploiting Parallel Audio Recordings to Enforce Device Invariance in CNN-based Acoustic Scene Classification. - Nima Ziaei:
Geolocation of an aircraft using image registration coupling modes for autonomous navigation. - Yann Issartel:
On the Estimation of Network Complexity: Dimension of Graphons. - Martin Beroiz, Juan B. Cabral, Bruno Sánchez:
Astroalign: A Python module for astronomical image registration. - Jianan Chen, Laurent Milot, Helen M. C. Cheung, Anne L. Martel:
Unsupervised Clustering of Quantitative Imaging Phenotypes using Autoencoder and Gaussian Mixture Model. - Ali Bahrami Rad, Morteza Zabihi, Zheng Zhao, Moncef Gabbouj, Aggelos K. Katsaggelos, Simo Särkkä:
Automated Polysomnography Analysis for Detection of Non-Apneic and Non-Hypopneic Arousals using Feature Engineering and a Bidirectional LSTM Network. - Benyamin Ghojogh, Ali Saheb Pasand, Fakhri Karray, Mark Crowley:
Quantized Fisher Discriminant Analysis. - Kaisheng Liao, Yaodong Zhao, Jie Gu, Yaping Zhang, Yi Zhong:
Sequential Convolutional Recurrent Neural Networks for Fast Automatic Modulation Classification. - Dhrubojyoti Roy, Sangeeta Srivastava, Aditya Kusupati, Pranshu Jain, Manik Varma, Anish Arora:
One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification. - Behnaz Akbarian, Abbas Erfanian:
A framework for seizure detection using effective connectivity, graph theory and deep modular neural networks. - Chieh Wu, Jared Miller, Yale Chang, Mario Sznaier, Jennifer G. Dy:
Solving Interpretable Kernel Dimension Reduction. - Le Hou, Youlong Cheng, Noam Shazeer, Niki Parmar, Yeqing Li, Panagiotis Korfiatis, Travis M. Drucker, Daniel J. Blezek, Xiaodan Song:
High Resolution Medical Image Analysis with Spatial Partitioning. - Milena B. Cukic Radenkovic, Victoria López López:
Machine Learning Approaches for Detecting the Depression from Resting-State Electroencephalogram (EEG): A Review Study. - Xinyao Sun, Aaron Zimmer, Subhayan Mukherjee, Navaneeth Kamballur Kottayil, Parwant Ghuman, Irene Cheng:
DeepInSAR: A Deep Learning Framework for SAR Interferometric Phase Restoration and Coherence Estimation. - Marcello Romano, Fabio Curti:
Analytic Solution of the Time-Optimal Control of a Double Integrator from an Arbitrary State to the State-space Origin. - Constantinos I. Siettos, Lucia Russo:
A Numerical Method for the Parametrization of Stable and Unstable Manifolds of Microscopic Simulators. - Mostafa Jahanifar, Navid Alemi Koohbanani, Nasir M. Rajpoot:
NuClick: From Clicks in the Nuclei to Nuclear Boundaries. - Wonsup Shin, Seok-Jun Bu, Sung-Bae Cho:
Automatic Financial Trading Agent for Low-risk Portfolio Management using Deep Reinforcement Learning. - Wen Wu, Nan Cheng, Ning Zhang, Peng Yang, Weihua Zhuang, Xuemin Shen:
Fast mmwave Beam Alignment via Correlated Bandit Learning. - Susan Meerdink, James Bocinsky, Alina Zare, Nicholas Kroeger, Connor H. McCurley, Daniel Shats, Paul D. Gader:
Multi-Target Multiple Instance Learning for Hyperspectral Target Detection. - Zenon Gniazdowski:
Extension of the one-dimensional Stoney algorithm to a two-dimensional case. - Arash A. Amini, Zahra S. Razaee:
Concentration of kernel matrices with application to kernel spectral clustering. - Spyroula Masiala, Willem Huijbers, Martin Atzmueller:
Feature-Set-Engineering for Detecting Freezing of Gait in Parkinson's Disease using Deep Recurrent Neural Networks. - Xialiang Dou, Mihai Anitescu:
Distributionally Robust Optimization with Correlated Data from Vector Autoregressive Processes. - Chieh Wu, Stratis Ioannidis, Mario Sznaier, Xiangyu Li, David R. Kaeli, Jennifer G. Dy:
Iterative Spectral Method for Alternative Clustering. - Jianbo Jiao, Ana I. L. Namburete, Aris T. Papageorghiou, J. Alison Noble:
Anatomy-Aware Self-supervised Fetal MRI Synthesis from Unpaired Ultrasound Images. - Adam Brown, Omer Bobrowski, Elizabeth Munch, Bei Wang:
Probabilistic Convergence and Stability of Random Mapper Graphs. - Naoya Takeishi:
Shapley Values of Reconstruction Errors of PCA for Explaining Anomaly Detection. - Vedang M. Deshpande, Raktim Bhattacharya:
On Improved Statistical Accuracy of Low-Order Polynomial Chaos Approximations. - Fabrizio Genovese:
The Essence of Petri Net Gluings. - Lê Thành Dung Nguyên:
When lattice cubes meet affine subspaces: a short note. - Xinyi Liu, Artit Wangperawong:
Transfer Learning Robustness in Multi-Class Categorization by Fine-Tuning Pre-Trained Contextualized Language Models. - Wenming Yang, Xuechen Zhang, Yapeng Tian, Wei Wang, Jing-Hao Xue, Qingmin Liao:
LCSCNet: Linear Compressing Based Skip-Connecting Network for Image Super-Resolution. - Ajay Shanker Tripathi, Benjamin W. Domingue:
Curve Fitting from Probabilistic Emissions and Applications to Dynamic Item Response Theory. - Nima Taherkhani, Kamran Kiasaleh:
Statistical Modelling of the Clipping Noise in OFDM-based Visible Light Communication System. - Guofeng Zhang, Ian R. Petersen:
Structural Decomposition for Quantum Two-level Systems. - Pavol Hell, César Hernández-Cruz, Jing Huang, Jephian C.-H. Lin:
Strongly chordal digraphs and Γ-free matrices. - Yuta Saito, Suguru Yaginuma, Yuta Nishino, Hayato Sakata, Kazuhide Nakata:
Relevance Matrix Factorization. - Jinlin Liu, Yuan Yao, Jianqiang Ren:
An Acceleration Framework for High Resolution Image Synthesis. - Shungo Takeuchi, Mikio Hasegawa, Kazutaka Kanno, Atsushi Uchida, Nicolas Chauvet, Makoto Naruse:
Dynamic channel selection in wireless communications via a multi-armed bandit algorithm using laser chaos time series. - Weiyu Li, Tianyi Chen, Liping Li, Qing Ling:
Communication-Censored Distributed Stochastic Gradient Descent. - Ali Foroughi Pour, Lori A. Dalton:
Theory of Optimal Bayesian Feature Filtering. - Jiaying Liu, Dong Liu, Wenhan Yang, Sifeng Xia, Xiaoshuai Zhang, Yuanying Dai:
A Comprehensive Benchmark for Single Image Compression Artifacts Reduction. - Daniel A. Lazar, Erdem Biyik, Dorsa Sadigh, Ramtin Pedarsani:
Learning How to Dynamically Route Autonomous Vehicles on Shared Roads. - Mansooreh Pakravan, Mohammad Bagher Shamsollahi:
Joint, Partially-joint, and Individual Independent Component Analysis in Multi-Subject fMRI Data. - Michal Vrábel, Ján Genci, Pavol Bobik, Francesca Bisconti:
Machine Learning Approach for Air Shower Recognition in EUSO-SPB Data. - Emilio Martínez-Pañeda, I. Iván Cuesta, Norman A. Fleck:
Mode II fracture of an elastic-plastic sandwich layer. - Vito Cerone, Sophie M. Fosson, Diego Regruto:
Sparse linear regression with compressed and low-precision data via concave quadratic programming. - Vishal Vaibhav:
A Fast Chebyshev Spectral Method for Nonlinear Fourier Transform. - Rao Muhammad Umer, Gian Luca Foresti, Christian Micheloni:
Deep Super-Resolution Network for Single Image Super-Resolution with Realistic Degradations. - Julius Ruseckas:
Differential equations as models of deep neural networks. - Ashish Cherukuri:
Sample average approximation of CVaR-based Wardrop equilibrium in routing under uncertain costs. - Arezoo Hatefi Ghahfarrokhi, Mehrnoush Shamsfard:
Tehran Stock Exchange Prediction Using Sentiment Analysis of Online Textual Opinions. - Ioan Gabriel Bucur, Tom Claassen, Tom Heskes:
Large-Scale Local Causal Inference of Gene Regulatory Relationships. - William Pettersson, Melih Ozlen:
Multi-Objective Mixed Integer Programming: An Objective Space Algorithm. - Hamed Yazdanpanah:
On Data-Selective Learning. - Donghoon Lee, Georgios B. Giannakis:
A Variational Bayes Approach to Adaptive Radio Tomography. - Lev V. Utkin, Mikhail V. Kots, Viacheslav S. Chukanov:
Estimation of Personalized Heterogeneous Treatment Effects Using Concatenation and Augmentation of Feature Vectors. - Di Zhao, Anders Rantzer, Li Qiu:
A Convex Approach to Frisch-Kalman Problem. - Bernhard Gahr, Shu Liu, Kevin Koch, Filipe Barata, André Dahlinger, Benjamin Ryder, Elgar Fleisch, Felix Wortmann:
Driver Identification via the Steering Wheel. - Rob Clark, Hanna Silén, Tom Kenter, Ralph Leith:
Evaluating Long-form Text-to-Speech: Comparing the Ratings of Sentences and Paragraphs. - Mittapalle Kiran Reddy, K. Sreenivasa Rao:
DNN-based cross-lingual voice conversion using Bottleneck Features. - Jie Fu, Xinran Zhong, Ning Li, Ritchell Van Dams, John Lewis, Kyung Hyun Sung, Ann C. Raldow, Jing Jin, X. Sharon Qi:
Deep Learning-based Radiomic Features for Improving Neoadjuvant Chemoradiation Response Prediction in Locally Advanced Rectal Cancer. - Pierre-Louis Giscard:
On the solutions of linear Volterra equations of the second kind with sum kernels. - Jayaraman J. Thiagarajan, Bindya Venkatesh, Prasanna Sattigeri, Peer-Timo Bremer:
Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors. - Bach Ngoc Kim, Christian Desrosiers, Jose Dolz, Pierre-Marc Jodoin:
Privacy-Net: An Adversarial Approach For Identity-obfuscated Segmentation. - Hristos Tyralis, Georgia Papacharalampous, Andreas Langousis:
Super learning for daily streamflow forecasting: Large-scale demonstration and comparison with multiple machine learning algorithms. - Lin Xu, Cheng Xu, Yi Tong, Yu Chun Su:
Detection and Classification of Breast Cancer Metastates Based on U-Net. - Justin Quan, Lin Xu, Rene Xu, Tyrael Tong, Jean Su:
DaTscan SPECT Image Classification for Parkinson's Disease. - Liang Lu, Eric Sun, Yifan Gong:
Self-Teaching Networks. - Md. Rezaul Karim, Michael Cochez, Oya Beyan, Stefan Decker, Christoph Lange:
OncoNetExplainer: Explainable Predictions of Cancer Types Based on Gene Expression Data. - Zheyuan Zhu, Yangyang Sun, Johnathon White, Zenghu Chang, Shuo S. Pang:
Signal retrieval with measurement system knowledge using variational generative model. - Yohei Sawada:
Machine learning accelerates parameter optimization and uncertainty assessment of a land surface model. - Rajeev Yasarla, Vishal M. Patel:
Confidence Measure Guided Single Image De-raining. - Tianyao Huang, Nir Shlezinger, Xingyu Xu, Yimin Liu, Yonina C. Eldar:
MAJoRCom: A Dual-Function Radar Communication System Using Index Modulation. - Abhijat Sarma, Rupak Chatterjee, Kaitlin Gili, Ting Yu:
Quantum Unsupervised and Supervised Learning on Superconducting Processors. - Shuai Shao, Yuxin Sun:
Contraction: a Unified Perspective of Correlation Decay and Zero-Freeness of 2-Spin Systems. - César A. Uribe, James Zachary Hare, Lance M. Kaplan, Ali Jadbabaie:
Non-Bayesian Social Learning with Uncertain Models over Time-Varying Directed Graphs. - Kasun Bandara, Christoph Bergmeir, Hansika Hewamalage:
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with Multiple Seasonal Patterns. - Gang Wang, Bingcong Li, Georgios B. Giannakis:
A Multistep Lyapunov Approach for Finite-Time Analysis of Biased Stochastic Approximation. - Hideki Kawahara, Ken-Ichi Sakakibara, Mitsunori Mizumachi, Hideki Banno, Masanori Morise, Toshio Irino:
Frequency domain variant of Velvet noise and its application to acoustic measurements. - Junghyo Jo, Danh-Tai Hoang, Vipul Periwal:
Inverse Ising inference from high-temperature re-weighting of observations. - Hanqiong Lou, Xiaohu Ge, Qiang Li:
The New Purity and Capacity Models for the OAM-mmWave Communication Systems under Atmospheric Turbulence. - Vinay Kumar Verma, Dhanajit Brahma, Piyush Rai:
A Meta-Learning Framework for Generalized Zero-Shot Learning. - Alain Richard Ndjiongue, Telex Magloire Nkouatchah Ngatched, Octavia A. Dobre, Ana García Armada:
VLC-Based Networking: Feasibility and Challenges. - Zijian Wang, Luc Vandendorpe, Mateen Ashraf, Yuting Mou, Nafiseh Janatian:
Minimization of Sum Inverse Energy Efficiency for Multiple Base Station Systems. - Lucjan Janowski, Bogdan Cmiel, Krzysztof Rusek, Jakub Nawala, Zhi Li:
Generalized Score Distribution. - Florian Simatos, Alain Simonian:
Mobility can drastically improve the heavy traffic performance from 1/(1-rho) to -log(1-rho). - Soo Ye Kim, Jihyong Oh, Munchurl Kim:
JSI-GAN: GAN-Based Joint Super-Resolution and Inverse Tone-Mapping with Pixel-Wise Task-Specific Filters for UHD HDR Video. - Vishnu Menon, Gokularam Muthukrishnan, Sheetal Kalyani:
Subspace clustering without knowing the number of clusters: A parameter free approach. - Chunxue Wu, Bobo Ju, Naixue Xiong, Guisong Yang, Yan Wu, Hongming Yang, Jiaying Huang, Zhiyong Xu:
U-net super-neural segmentation and similarity calculation to realize vegetation change assessment in satellite imagery. - Markus Sinnl:
Algorithmic expedients for the S-labeling problem. - Shyam Narayanan, Alec Sun:
Bounds on expected propagation time of probabilistic zero forcing. - Negar Zabetian, Abbas Mohammadi, Meysam Masoudi:
Energy Efficient Power Allocation for Device-to-Device Communications Underlaid Cellular Networks Using Stochastic Geometry. - Prabhu Ramachandran, Kunal Puri, Aditya Bhosale, A. Dinesh, Abhinav Muta, Pawan Negi, Rahul Govind, Suraj Sanka, Pankaj Pandey, Chandrashekhar Kaushik, Anshuman Kumar, Ananyo Sen, Rohan Kaushik, Mrinalgouda Patil, Deep Tavker, Dileep Menon, Vikas Kurapati, Amal S. Sebastian, Arkopal Dutt, Arpit Agarwal:
PySPH: a Python-based framework for smoothed particle hydrodynamics. - Stephen Tridgell, Martin Kumm, Martin Hardieck, David Boland, Duncan J. M. Moss, Peter Zipf, Philip H. W. Leong:
Unrolling Ternary Neural Networks. - Thanh Nguyen, Vy Bui, Anh Thai, Van Lam, Christopher B. Raub, Lin-Ching Chang, George Nehmetallah:
Virtual organelle self-coding for fluorescence imaging via adversarial learning. - Jue Jiang, Jason Hu, Neelam Tyagi, Andreas Rimner, Sean L. Berry, Joseph O. Deasy, Harini Veeraraghavan:
Integrating cross-modality hallucinated MRI with CT to aid mediastinal lung tumor segmentation. - Dominik Linzner, Michael Schmidt, Heinz Koeppl:
Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data. - Venkateswararao Cherukuri, Tiantong Guo, Steven J. Schiff, Vishal Monga:
Deep MR Brain Image Super-Resolution Using Spatio-Structural Priors. - Peter Benner, Pawan Goyal, Igor Pontes Duff:
Gramians, Energy Functionals and Balanced Truncation for Linear Dynamical Systems with Quadratic Outputs. - Gui Zhou, Cunhua Pan, Hong Ren, Kezhi Wang, Arumugam Nallanathan:
Intelligent Reflecting Surface Aided Multigroup Multicast MISO Communication Systems. - Yingdong Lu:
A Stochastic Knapsack Game: Revenue Management in Competitions. - Kirk Swanson, Shubhendu Trivedi, Joshua Lequieu, Kyle Swanson, Risi Kondor:
Deep Learning for Automated Classification and Characterization of Amorphous Materials. - Marco Viceconti, Miguel A. Juárez, Cristina Curreli, Marzio Pennisi, Giulia Russo, Francesco Pappalardo:
POSITION PAPER: Credibility of In Silico Trial Technologies: A Theoretical Framing. - David John Gagne II, Hannah M. Christensen, Aneesh C. Subramanian, Adam H. Monahan:
Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model. - Dimitri Pinel, Sigurd Bjarghov, Magnus Korpås:
Impact of Grid Tariffs Design on the Zero Emission Neighborhoods Energy System Investments. - Georgina Bumpus, Christoph Haase, Stefan Kiefer, Paul-Ioan Stoienescu, Jonathan Tanner:
On the Size of Finite Rational Matrix Semigroups. - Anup Rao:
Coding for Sunflowers. - Michael Chinen, W. Bastiaan Kleijn, Felicia S. C. Lim, Jan Skoglund:
Generative Speech Enhancement Based on Cloned Networks. - Raunak Dey, Yi Hong:
Hybrid Cascaded Neural Network for Liver Lesion Segmentation. - Yoojin Choi, Mostafa El-Khamy, Jungwon Lee:
Variable Rate Deep Image Compression With a Conditional Autoencoder. - Tomoharu Iwata, Machiko Toyoda, Shotaro Tora, Naonori Ueda:
Anomaly Detection with Inexact Labels. - Julian Ahrens, Lia Ahrens, Hans D. Schotten:
A Machine Learning Method for Prediction of Multipath Channels. - Nasimeh Heydaribeni, Achilleas Anastasopoulos:
Linear Equilibria for Dynamic LQG Games with Asymmetric Information and Dependent Types. - Wenchen Han, Yuee Feng, Xiaolan Qian, Qihui Yang, Changwei Huang:
Clusters and the entropy in opinion dynamics on complex networks. - Alejandro Donaire, José Guadalupe Romero, Romeo Ortega:
Correction to the paper "A robust IDA-PBC approach for handling uncertainties in underactuated mechanical systems". - Christophe Besse, Jean-François Coulombel, Pascal Noble:
Discrete transparent boundary conditions for the two-dimensional leap-frog scheme. - Eduardo Álvarez-Miranda, Markus Sinnl:
An exact solution framework for the multiple gradual cover location problem. - Tomasz Kusmierczyk, Joseph Sakaya, Arto Klami:
Correcting Predictions for Approximate Bayesian Inference. - Piotr Woznicki, Przemyslaw Przybyszewski, Norbert Kapinski, Jakub Zielinski, Beata Ciszkowska-Lyson, Bartosz A. Borucki, Tomasz Trzcinski, Krzysztof S. Nowinski:
Monitoring Achilles tendon healing progress in ultrasound imaging with convolutional neural networks. - Simon Telen, Marc Van Barel, Jan Verschelde:
A Robust Numerical Path Tracking Algorithm for Polynomial Homotopy Continuation. - Edoardo Zoni, Yaman Güçlü:
Solving hyperbolic-elliptic problems on singular mapped disk-like domains with the method of characteristics and spline finite elements. - Sanzo Miyazawa:
Boltzmann machine learning and regularization methods for inferring evolutionary fields and couplings from a multiple sequence alignment. - Daron Anderson, Douglas J. Leith:
Optimality of the Subgradient Algorithm in the Stochastic Setting. - Jemin George, Prudhvi Gurram:
Distributed Deep Learning with Event-Triggered Communication. - Johannes Bausch, Sathyawageeswar Subramanian, Stephen Piddock:
A Quantum Search Decoder for Natural Language Processing. - Tatiana Gabruseva, Sergey Zlobin, Peter Wang:
Photometric light curves classification with machine learning. - Jérôme Lemoine, Arnaud Münch:
A fully space-time least-squares method for the unsteady Navier-Stokes system. - Jan Stühmer, Richard E. Turner, Sebastian Nowozin:
Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations. - James Edwards:
Practical Calculation of Gittins Indices for Multi-armed Bandits. - Dennis Bontempi, Sergio Benini, Alberto Signoroni, Michele Svanera, Lars Muckli:
CEREBRUM: a fast and fully-volumetric Convolutional Encoder-decodeR for weakly-supervised sEgmentation of BRain strUctures from out-of-the-scanner MRI. - Chieh Wu, Jared Miller, Yale Chang, Mario Sznaier, Jennifer G. Dy:
Spectral Non-Convex Optimization for Dimension Reduction with Hilbert-Schmidt Independence Criterion. - Jannis Born, Matteo Manica, Ali Oskooei, María Rodríguez Martínez:
Reinforcement learning-driven de-novo design of anticancer compounds conditioned on biomolecular profiles. - Michael Cary, Jonathan Cary, Savari Prabhu:
Independent Domination in Directed Graphs. - Tomas Vaskevicius, Varun Kanade, Patrick Rebeschini:
Implicit Regularization for Optimal Sparse Recovery. - Luis Muñoz-González, Kenneth T. Co, Emil C. Lupu:
Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging. - Sujit Vettam, Majnu John:
Regularized deep learning with a non-convex penalty. - Samuel Showalter, Jeffrey Gropp:
Validating Weak-form Market Efficiency in United States Stock Markets with Trend Deterministic Price Data and Machine Learning. - James Guthrie, Enrique Mallada:
Adversarial Model Predictive Control via Second-Order Cone Programming. - Xihao Chen, Jingya Yu, Li Chen, Shaoqun Zeng, Xiuli Liu, Shenghua Cheng:
Multi-stage domain adversarial style reconstruction for cytopathological image stain normalization. - Rui Li, Zhibin Pan, Yang Wang:
Correlation-based Initialization Algorithm for Tensor-based HSI Compression Methods. - Ellen D. Zhong, Tristan Bepler, Joseph H. Davis, Bonnie Berger:
Reconstructing continuously heterogeneous structures from single particle cryo-EM with deep generative models. - Alexander Shapiro, Yao Xie, Rui Zhang:
Goodness-of-fit tests on manifolds. - Rahul Singh, Liyang Sun:
De-biased Machine Learning for Compliers. - Hao Guan, Liu Liu, Sean Moran, Fenglong Song, Gregory G. Slabaugh:
NODE: Extreme Low Light Raw Image Denoising using a Noise Decomposition Network. - Raban Iten, David Sutter, Stefan Woerner:
Efficient template matching in quantum circuits. - Yuta Saito, Shota Yasui:
Counterfactual Cross-Validation: Effective Causal Model Selection from Observational Data. - Kamyar Nazeri, Harrish Thasarathan, Mehran Ebrahimi:
Edge-Informed Single Image Super-Resolution. - Riqiang Gao, Yuankai Huo, Shunxing Bao, Yucheng Tang, Sanja L. Antic, Emily S. Epstein, Aneri B. Balar, Steve Deppen, Alexis B. Paulson, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman:
Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection. - Anjuli Kannan, Arindrima Datta, Tara N. Sainath, Eugene Weinstein, Bhuvana Ramabhadran, Yonghui Wu, Ankur Bapna, Zhifeng Chen, Seungji Lee:
Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model. - Yuan Liu, Ayush Jain, Clara Eng, David H. Way, Kang Lee, Peggy Bui, Kimberly Kanada, Guilherme de Oliveira Marinho, Jessica Gallegos, Sara Gabriele, Vishakha Gupta, Nalini Singh, Vivek Natarajan, Rainer Hofmann-Wellenhof, Gregory S. Corrado, Lily H. Peng, Dale R. Webster, Dennis Ai, Susan Huang, Yun Liu, R. Carter Dunn, David Coz:
A deep learning system for differential diagnosis of skin diseases. - Jaber J. Hasbestan, Inanc Senocak:
PittPack: An Open-Source Poisson's Equation Solver for Extreme-Scale Computing with Accelerators. - Mehmet Akif Yetim:
L(p, q)-Labeling of Graphs with Interval Representations. - Bhathiya Pilanawithana, Saman Atapattu, Jamie S. Evans:
Resource Allocation in Dynamic DF Relay for SWIPT Network with Circuit Power Consumption. - Amrit Singh Bedi, Alec Koppel, Ketan Rajawat, Brian M. Sadler:
Nonstationary Nonparametric Online Learning: Balancing Dynamic Regret and Model Parsimony. - Yashu Liu, Wei Wang, Kuanquan Wang, Chengqin Ye, Gongning Luo:
An Automatic Cardiac Segmentation Framework based on Multi-sequence MR Image. - Faïcel Chamroukhi, Florian Lecocq, Hien D. Nguyen:
Regularized Estimation and Feature Selection in Mixtures of Gaussian-Gated Experts Models. - Dong An, Lin Lin:
Quantum linear system solver based on time-optimal adiabatic quantum computing and quantum approximate optimization algorithm. - Sergey Karpukhin:
Inverse Graphical Method for Global Optimization and Application to Design Centering Problem. - Leandro Soares Indrusiak, Piotr Dziurzanski, Shuai Zhao:
Proceedings of the International Workshop on Reconfigurable and Communication-centric Cyber-Physical Systems (ReCoCyPS 2019). - Dafydd Gibbon, Peng Li:
Quantifying and Correlating Rhythm Formants in Speech. - Jake Buzhardt, Phanindra Tallapragada:
Magnetically actuated artificial microswimmers as mobile microparticle manipulators. - Juan Miguel Valverde, Vandad Imani, John D. Lewis, Jussi Tohka:
Predicting intelligence based on cortical WM/GM contrast, cortical thickness and volumetry. - Christine Podilchuk, Siddhartha Pachhai, Robert Warfsman, Richard J. Mammone:
On-demand teleradiology using smartphone photographs as proxies for DICOM images. - Preeti Gopal, Sharat Chandran, Imants D. Svalbe, Ajit Rajwade:
Tomographic reconstruction to detect evolving structures. - Norbert Kapinski, Jedrzej M. Nowosielski, Maciej E. Marchwiany, Jakub Zielinski, Beata Ciszkowska-Lyson, Bartosz A. Borucki, Tomasz Trzcinski, Krzysztof S. Nowinski:
Late fusion of deep learning and hand-crafted features for Achilles tendon healing monitoring. - Vaiva Vasiliauskaite, Tim S. Evans:
Social Success of Perfumes. - Dror Simon, Michael Elad:
Rethinking the CSC Model for Natural Images. - Thomas J. X. Li, Christian M. Reidys:
On an enhancement of RNA probing data using Information Theory. - Tingle Li, Jiawei Chen, Haowen Hou, Ming Li:
TF-Attention-Net: An End To End Neural Network For Singing Voice Separation. - Kristian Miok, Dong Nguyen Doan, Daniela Zaharie, Marko Robnik-Sikonja:
Generating Data using Monte Carlo Dropout. - Kun Fang, Hamza Fawzi:
Geometric Rényi Divergence and its Applications in Quantum Channel Capacities. - Bruno Scalzo Dees, Ljubisa Stankovic, Milos Dakovic, Anthony G. Constantinides, Danilo P. Mandic:
Unitary Shift Operators on a Graph. - Tomer Weiss, Ortal Senouf, Sanketh Vedula, Oleg V. Michailovich, Michael Zibulevsky, Alexander M. Bronstein:
PILOT: Physics-Informed Learned Optimal Trajectories for Accelerated MRI. - Yasin Almalioglu, Mehmet Turan, Chris Xiaoxuan Lu, Niki Trigoni, Andrew Markham:
Milli-RIO: Ego-Motion Estimation with Millimetre-Wave Radar and Inertial Measurement Unit Sensor. - Dashan Gao, Ce Ju, Xiguang Wei, Yang Liu, Tianjian Chen, Qiang Yang:
HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for Electroencephalography. - Zhanwei Hou, Changyang She, Yonghui Li, Zhuo Li, Branka Vucetic:
Prediction and Communication Co-design for Ultra-Reliable and Low-Latency Communications. - Silvia Chiappa:
Explicit-Duration Markov Switching Models. - Sai Nithin R. Kantareddy, Ian Mathews, Rahul Bhattacharyya, Ian Marius Peters, Tonio Buonassisi, Sanjay E. Sarma:
Long range battery-less PV-powered RFID tag sensors. - Kun Fang, Omar Fawzi, Renato Renner, David Sutter:
A chain rule for the quantum relative entropy. - Abhishek Halder, Tryphon T. Georgiou:
Proximal Recursion for the Wonham Filter. - Boyue Li, Shicong Cen, Yuxin Chen, Yuejie Chi:
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking. - Nathan Kallus, Masatoshi Uehara:
Efficiently Breaking the Curse of Horizon: Double Reinforcement Learning in Infinite-Horizon Processes. - Zarathustra Brady:
Examples, counterexamples, and structure in bounded width algebras. - Nina Tuluptceva, Bart Bakker, Irina Fedulova, Anton Konushin:
Perceptual Image Anomaly Detection. - Marc Jornet, Julia Calatayud Gregori, Olivier P. Le Maître, Juan Carlos Cortés:
Second order linear differential equations with analytic uncertainties: stochastic analysis via the computation of the probability density function. - Alessandro Bruno, Anna Anzalone, Carlo Vigorito:
A method for Cloud Mapping in the Field of View of the Infra-Red Camera during the EUSO-SPB1 flight. - Rodney LaLonde, Drew A. Torigian, Ulas Bagci:
Encoding High-Level Visual Attributes in Capsules for Explainable Medical Diagnoses. - Yusuke Fujita, Naoyuki Kanda, Shota Horiguchi, Kenji Nagamatsu, Shinji Watanabe:
End-to-End Neural Speaker Diarization with Permutation-Free Objectives. - Ken C. L. Wong, Mehdi Moradi:
SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentation. - Koya Sato, Mizuki Oka, Alain Barrat, Ciro Cattuto:
DyANE: Dynamics-aware node embedding for temporal networks. - Sevag Gharibian, Stephen Piddock, Justin Yirka:
Oracle complexity classes and local measurements on physical Hamiltonians. - Mohammad Reza Amini, Ilya V. Kolmanovsky, Jing Sun:
Robust Hierarchical MPC for Handling Long Horizon Demand Forecast Uncertainty with Application to Automotive Thermal Management. - David Joon Ho, Shuo Han, Chichen Fu, Paul Salama, Kenneth W. Dunn, Edward J. Delp:
Center-Extraction-Based Three Dimensional Nuclei Instance Segmentation of Fluorescence Microscopy Images. - Chao Huang, Hu Han, Qingsong Yao, Shankuan Zhu, Shaohua Kevin Zhou:
3D U2-Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation. - Yanyan Zhang, Ping Lu, Hua Yu, Stan Morris:
Enhancement of seismic imaging: An innovative deep learning approach. - Shilian Zheng, Shichuan Chen, Peihan Qi, Huaji Zhou, Xiaoniu Yang:
Spectrum Sensing Based on Deep Learning Classification for Cognitive Radios. - Saima A. Siddiqui, Sumit Dutta, Astera Tang, Luqiao Liu, Caroline A. Ross, Marc A. Baldo:
Magnetic domain wall based synaptic and activation function generator for neuromorphic accelerators. - Neil G. Marchant, Rebecca C. Steorts, Andee Kaplan, Benjamin I. P. Rubinstein, Daniel N. Elazar:
d-blink: Distributed End-to-End Bayesian Entity Resolution. - Yu Inatsu, Masayuki Karasuyama, Keiichi Inoue, Ichiro Takeuchi:
Active learning for level set estimation under cost-dependent input uncertainty. - Tuvi Etzion, Sascha Kurz, Kamil Otal, Ferruh Özbudak:
Subspace Packings - Constructions and Bounds. - Nikita Kozodoi, Panagiotis Katsas, Stefan Lessmann, Luís Moreira-Matias, Konstantinos Papakonstantinou:
Shallow Self-Learning for Reject Inference in Credit Scoring. - Miles E. Lopes, N. Benjamin Erichson, Michael W. Mahoney:
Bootstrapping the Operator Norm in High Dimensions: Error Estimation for Covariance Matrices and Sketching. - Yadong Li, Xin Cui:
Shapley Interpretation and Activation in Neural Networks. - Liwei Lin, Xiangdong Wang, Hong Liu, Yueliang Qian:
Guided Learning Convolution System for DCASE 2019 Task 4. - Ramis Movassagh:
Cayley path and quantum computational supremacy: A proof of average-case #P-hardness of Random Circuit Sampling with quantified robustness. - Philip L. Lederer, Christoph Lehrenfeld, Joachim Schöberl:
Divergence-free tangential finite element methods for incompressible flows on surfaces. - Yusuke Fujita, Naoyuki Kanda, Shota Horiguchi, Yawen Xue, Kenji Nagamatsu, Shinji Watanabe:
End-to-End Neural Speaker Diarization with Self-attention. - Gustavo Blanco, Agma J. M. Traina, Caetano Traina Jr., Paulo M. Azevedo-Marques, Ana Elisa Serafim Jorge, Daniel de Oliveira, Marcos V. N. Bedo:
A superpixel-driven deep learning approach for the analysis of dermatological wounds. - Hunter Gabbard, Chris Messenger, Ik Siong Heng, Francesco Tonolini, Roderick Murray-Smith:
Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy. - Lingxiao Wang, Quanquan Gu:
A Knowledge Transfer Framework for Differentially Private Sparse Learning. - Justin D. Krogue, Kaiyang V. Cheng, Kevin M. Hwang, Paul Toogood, Eric G. Meinberg, Erik J. Geiger, Musa B. Zaid, Kevin C. McGill, Rina Patel, Jae Ho Sohn, Alexandra Wright, Bryan F. Darger, Kevin A. Padrez, Eugene Ozhinsky, Sharmila Majumdar, Valentina Pedoia:
Automatic Hip Fracture Identification and Functional Subclassification with Deep Learning. - Desh Raj, David Snyder, Daniel Povey, Sanjeev Khudanpur:
Probing the Information Encoded in x-vectors. - Andreas Weinand, Raja Sattiraju, Michael Karrenbauer, Hans D. Schotten:
Supervised Learning for Physical Layer based Message Authentication in URLLC scenarios. - Elisabeth Hoppe, Florian Thamm, Gregor Körzdörfer, Christopher Syben, Franziska Schirrmacher, Mathias Nittka, Josef Pfeuffer, Heiko Meyer, Andreas Maier:
Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks. - Rinat Khaziev, Bryce Casavant, Pearce Washabaugh, Amy A. Winecoff, Matthew Graham:
Recommendation or Discrimination?: Quantifying Distribution Parity in Information Retrieval Systems. - Albert W. Reed, Isaac Gerg, John McKay, Daniel C. Brown, David Williams, Suren Jayasuriya:
Coupling Rendering and Generative Adversarial Networks for Artificial SAS Image Generation. - Devin Taylor, Simeon E. Spasov, Pietro Liò:
Co-Attentive Cross-Modal Deep Learning for Medical Evidence Synthesis and Decision Making. - Nicolás Guarín-Zapata, Juan Gómez, Camilo Valencia, Gary F. Dargush, Ali Reza Hadjesfandiari:
Finite element modeling of micropolar-based phononic crystals. - Felix J. Herrmann, Ali Siahkoohi, Gabrio Rizzuti:
Learned imaging with constraints and uncertainty quantification. - Santosh Paudel, Ajay Kumar Shrestha, Pradip Singh Maharjan, Rameshwar Rijal:
Performance Analysis of Spatial and Transform Filters for Efficient Image Noise Reduction. - Mireille Boutin, Alden Bradford:
A highly likely clusterable data model with no clusters. - Chunxi Liu, Qiaochu Zhang, Xiaohui Zhang, Kritika Singh, Yatharth Saraf, Geoffrey Zweig:
Multilingual ASR with Massive Data Augmentation. - Hieu-Thi Luong, Junichi Yamagishi:
Bootstrapping non-parallel voice conversion from speaker-adaptive text-to-speech. - Haitao Liu, Yew-Soon Ong, Ziwei Yu, Jianfei Cai, Xiaobo Shen:
Scalable Gaussian Process Classification with Additive Noise for Various Likelihoods. - Kin Quan, Rebecca J. Shipley, Ryutaro Tanno, Graeme McPhillips, Vasileios Vavourakis, David Edwards, Joseph Jacob, John R. Hurst, David J. Hawkes:
Tapering Analysis of Airways with Bronchiectasis. - Qiujia Li, Chao Zhang, Philip C. Woodland:
Integrating Source-channel and Attention-based Sequence-to-sequence Models for Speech Recognition. - Zhou He, Siqi Bao, Albert C. S. Chung:
3D Deep Affine-Invariant Shape Learning for Brain MR Image Segmentation. - Paul M. Riechers, Alexander B. Boyd, Gregory Wimsatt, James P. Crutchfield:
Balancing Error and Dissipation in Highly-Reliable Computing. - Hashim A. Hashim:
Special Orthogonal Group SO(3), Euler Angles, Angle-axis, Rodriguez Vector and Unit-Quaternion: Overview, Mapping and Challenges. - Khe Chai Sim, Petr Zadrazil, Françoise Beaufays:
An Investigation Into On-device Personalization of End-to-end Automatic Speech Recognition Models. - Andriy Myronenko, Ali Hatamizadeh:
3D Kidneys and Kidney Tumor Semantic Segmentation using Boundary-Aware Networks. - Erik N. Gaasedelen, Alex J. Deakyne, Paul A. Iaizzo:
Automated Multiclass Cardiac Volume Segmentation and Model Generation. - Filipe F. Buscariolo, Julien Hoessler, David Moxey, Ayad Jassim, Kevin Gouder, Jeremy Basley, Yushi Murai, Gustavo R. S. Assi, Spencer J. Sherwin:
Spectral/hp element simulation of flow past a Formula One front wing: validation against experiments. - Tianchen Wang, Jinjun Xiong, Xiaowei Xu, Meng Jiang, Yiyu Shi, Haiyun Yuan, Meiping Huang, Jian Zhuang:
MSU-Net: Multiscale Statistical U-Net for Real-time 3D Cardiac MRI Video Segmentation. - Ye Yuan, Junlin Li, Liang Li, Frank Jiang, Xiuchuan Tang, Fumin Zhang, Sheng Liu, Jorge M. Gonçalves, Henning U. Voss, Xiuting Li, Jürgen Kurths, Han Ding:
Machine Discovery of Partial Differential Equations from Spatiotemporal Data. - Dongha Kim, Yongchan Choi, Yongdai Kim:
Understanding and Improving Virtual Adversarial Training. - Hongxiang Lin, Matteo Figini, Ryutaro Tanno, Stefano B. Blumberg, Enrico Kaden, Godwin Ogbole, Biobele J. Brown, Felice D'Arco, David W. Carmichael, Ikeoluwa Lagunju, Helen J. Cross, Delmiro Fernandez-Reyes, Daniel C. Alexander:
Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator. - Zhenyu Liao, Romain Couillet:
Inner-product Kernels are Asymptotically Equivalent to Binary Discrete Kernels. - Keonnyeong Lee, In-Chul Yoo, Dongsuk Yook:
Voice Conversion Using Cycle-Consistent Variational Autoencoder. - Jean-François Côté, Mohamed Haouari, Manuel Iori:
A Primal Decomposition Algorithm for the Two-dimensional Bin Packing Problem. - Alexander Karimov, Artem Razumov, Ruslana Manbatchurina, Ksenia Simonova, Irina Donets, Anastasia Vlasova, Yulia Khramtsova, Konstantin Ushenin:
Comparison of UNet, ENet, and BoxENet for Segmentation of Mast Cells in Scans of Histological Slices. - Ernesto Araya Valdivia, Yohann de Castro:
Latent Distance Estimation for Random Geometric Graphs. - Diederik Aerts, Lester Beltran:
Human Language: A Boson Gas of Quantum Entangled Cognitons. - Tarun S. Cousik, Rubayet Shafin Bradley Shafin, Zhou Zhou, Kaleb Kleine, Jeffrey H. Reed, Lingjia Liu:
CogRF: A New Frontier for Machine Learning and Artificial Intelligence for 6G RF Systems. - Volker Mehrmann, Paul Van Dooren:
Optimal robustness of passive discrete time systems. - Henrik R. Larsson, Adri C. T. van Duin, Bernd Hartke:
Global optimization of parameters in the reactive force field ReaxFF for SiOH. - Younghwan Chae, Daniel N. Wilke:
Empirical study towards understanding line search approximations for training neural networks. - Guannan Qu, Na Li:
Exploiting Fast Decaying and Locality in Multi-Agent MDP with Tree Dependence Structure. - Abdullahi Mohammad, Christos Masouros, Yiannis Andreopoulos:
Complexity-Scalable Neural Network Based MIMO Detection With Learnable Weight Scaling. - Simón Rodríguez Santana, Daniel Hernández-Lobato:
Adversarial α-divergence Minimization for Bayesian Approximate Inference. - Eric P. Hanson, Nilanjana Datta:
Universal proofs of entropic continuity bounds via majorization flow. - Tai-Xiang Jiang, Michael K. Ng, Xi-Le Zhao, Ting-Zhu Huang:
Framelet Representation of Tensor Nuclear Norm for Third-Order Tensor Completion. - Xudong Luo, Fei Ma, Wentao Xu:
Exact solutions for geodesic distance on treelike models with some constraints. - Daria Fokina, Ekaterina A. Muravleva, George V. Ovchinnikov, Ivan V. Oseledets:
Microstructure synthesis using style-based generative adversarial network. - Justin Chan, Sharat Raju, Randall A. Bly, Jonathan A. Perkins, Shyamnath Gollakota:
Identifying Pediatric Vascular Anomalies With Deep Learning. - Huan Xiong, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao:
Fast Large-Scale Discrete Optimization Based on Principal Coordinate Descent. - Yu Yol Shin, Yoonjin Yoon:
Incorporating Dynamicity of Transportation Network with Multi-Weight Traffic Graph Convolution for Traffic Forecasting. - Vishal Vaibhav:
A Chebyshev Spectral Method for Nonlinear Fourier Transform: Norming Constants. - Logan Crew, Bhargav Narayanan, Sophie Spirkl:
Disproportionate division. - Marco Henrique de Almeida Inácio, Rafael Izbicki, Bálint Gyires-Tóth:
Distance Assessment and Hypothesis Testing of High-Dimensional Samples using Variational Autoencoders. - Morteza Noshad, Li Xu, Alfred O. Hero III:
Learning to Benchmark: Determining Best Achievable Misclassification Error from Training Data. - Stefan O. Schrade, Marcel Menner, Camila Shirota, Peter Winiger, Alex Stutz, Melanie N. Zeilinger, Olivier Lambercy, Roger Gassert:
Knee Compliance Reduces Peak Swing Phase Collision Forces in a Lower-Limb Exoskeleton Leg: A Test Bench Evaluation. - J. Kim, Yuriy V. Pershin, M. Yin, T. Datta, Massimiliano Di Ventra:
An experimental proof that resistance-switching memories are not memristors. - Joseph Daws Jr., Armenak Petrosyan, Hoang Tran, Clayton G. Webster:
A Weighted 𝓁1-Minimization Approach For Wavelet Reconstruction of Signals and Images. - Kaitong Hu, Anna Kazeykina, Zhenjie Ren:
Mean-field Langevin System, Optimal Control and Deep Neural Networks. - Felipe A. Tobar:
Band-Limited Gaussian Processes: The Sinc Kernel. - Yashar Kiarashinejad, Mohammadreza Zandehshahvar, Sajjad AbdollahRamezani, Omid Hemmatyar, Reza Pourabolghasem, Ali Adibi:
Knowledge Discovery In Nanophotonics Using Geometric Deep Learning. - Hsin-Yuan Huang, Kishor Bharti, Patrick Rebentrost:
Near-term quantum algorithms for linear systems of equations. - Ke Tan, Yong Xu, Shi-Xiong Zhang, Meng Yu, Dong Yu:
Audio-Visual Speech Separation and Dereverberation with a Two-Stage Multimodal Network. - Louigi Addario-Berry, Hannah Cairns, Luc Devroye, Celine Kerriou, Rivka Mitchell:
Hipster random walks. - Igor G. Vladimirov, Matthew R. James, Ian R. Petersen:
A Karhunen-Loeve expansion for one-mode open quantum harmonic oscillators using the eigenbasis of the two-point commutator kernel. - Jeroen Bédorf, Simon Portegies Zwart:
Bonsai-SPH: A GPU accelerated astrophysical Smoothed Particle Hydrodynamics code. - Hoileong Lee, Tahreema N. Matin, Fergus Gleeson, Vicente Grau:
Efficient 3D Fully Convolutional Networks for Pulmonary Lobe Segmentation in CT Images. - Peichao Li, Xiao-Yun Zhou, Zhao-Yang Wang, Guang-Zhong Yang:
Z-Net: an Asymmetric 3D DCNN for Medical CT Volume Segmentation. - Mohamed Kareem AlAshery, Walid EI-Khattam, M. Abd El Rehim Badr:
Coupling of Wind Farms with Nuclear Power Plants. - Olivier Massicot, Jakub Marecek:
On-line Non-Convex Constrained Optimization. - Bruno Augusto Angélico, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro, George J. Pappas:
Source Seeking in Unknown Environments with Convex Obstacles. - Adam Rupe, Karthik Kashinath, Nalini Kumar, Victor W. Lee, Prabhat, James P. Crutchfield:
Towards Unsupervised Segmentation of Extreme Weather Events. - Pranav Gokhale, Yongshan Ding, Thomas Propson, Christopher Winkler, Nelson Leung, Yunong Shi, David I. Schuster, Henry Hoffmann, Frederic T. Chong:
Partial Compilation of Variational Algorithms for Noisy Intermediate-Scale Quantum Machines. - Yining Wang, Mingzhe Chen, Zhaohui Yang, Xue Hao, Tao Luo, Walid Saad:
Gated Recurrent Units Learning for Optimal Deployment of Visible Light Communications Enabled UAVs. - Zixuan Song, Jun Li:
Variable selection with false discovery rate control in deep neural networks. - Scott B. Leask, Vincent G. McDonell:
On the Physical Interpretation of Proper Orthogonal Decomposition and Dynamic Mode Decomposition for Liquid Injection. - Mehrdad Shoeiby, Mohammad Sadegh Aliakbarian, Saeed Anwar, Lars Petersson:
Multi-FAN: Multi-Spectral Mosaic Super-Resolution Via Multi-Scale Feature Aggregation Network. - Amir Ghasemian, Homa Hosseinmardi, Aram Galstyan, Edoardo M. Airoldi, Aaron Clauset:
Stacking Models for Nearly Optimal Link Prediction in Complex Networks. - Saima Rathore, Muhammad Aksam Iftikhar, Metin N. Gurcan, Zissimos Mourelatos:
Radiopathomics: Integration of radiographic and histologic characteristics for prognostication in glioblastoma. - Xinlin Zhang, Hengfa Lu, Di Guo, Lijun Bao, Feng Huang, Xiaobo Qu:
A Convergence Proof of Projected Fast Iterative Soft-thresholding Algorithm for Parallel Magnetic Resonance Imaging. - Qiyou Duan, Taejoon Kim, Lin Dai, Erik Perrins:
Coherence Statistics of Structured Random Ensembles and Support Detection Bounds for OMP. - Kaining Zhang, Min-Hsiu Hsieh, Liu Liu, Dacheng Tao:
Quantum algorithm for finding the negative curvature direction in non-convex optimization. - Moritz Hoferer, Lucas Böttcher, Hans J. Herrmann, Hans Gersbach:
The Impact of Technologies in Political Campaigns. - Carel F. W. Peeters:
Social Network Analysis of Corruption Structures: Adjacency Matrices Supporting the Visualization and Quantification of Layeredness. - Tomoharu Iwata, Takuma Otsuka:
Efficient Transfer Bayesian Optimization with Auxiliary Information. - Sergio Garrido, Stanislav S. Borysov, Francisco C. Pereira, Jeppe Rich:
Prediction of rare feature combinations in population synthesis: Application of deep generative modelling. - Ivan Ustyuzhaninov, Ieva Kazlauskaite, Markus Kaiser, Erik Bodin, Neill D. F. Campbell, Carl Henrik Ek:
Compositional uncertainty in deep Gaussian processes. - Xingbo Fu, Feng Gao, Jiang Wu, Ruanming Huang, Yichao Huang, Fei Fei:
A Simulation Approach to Multi-station Solar Irradiance Data Considering Temporal Correlations. - Andrew-Hieu Nguyen, Hui Li, Qiang Qiu, Yuzeng Wang, Zhaoyang Wang:
Single-shot 3D shape reconstruction using deep convolutional neural networks. - T. Erber, M. J. Frank:
Arrow, Hausdorff, and Ambiguities in the Choice of Preferred States in Complex Systems. - Andrea Gobbi, Marco Cristoforetti, Giuseppe Jurman, Cesare Furlanello:
High Resolution Forecasting of Heat Waves impacts on Leaf Area Index by Multiscale Multitemporal Deep Learning. - Yubin Zang, Minghua Chen, Sigang Yang, Hongwei Chen:
Electro-optical Neural Networks based on Time-stretch Method. - Qi Gao, Qijie Li, Shaowu Pan, Hongping Wang, Runjie Wei, Jinjun Wang:
Particle reconstruction of volumetric particle image velocimetry with strategy of machine learning. - Chaman Kumar, Tejinder Kumar:
A Note on Explicit Milstein-Type Scheme for Stochastic Differential Equation with Markovian Switching. - Chaman Kumar, Tejinder Kumar:
On Explicit Tamed Milstein-type scheme for Stochastic Differential Equation with Markovian Switching. - Yuanqing Wang, Josh Fass, Chaya D. Stern, Kun Luo, John D. Chodera:
Graph Nets for Partial Charge Prediction. - Yixin Zhang:
Blockchain of Signature Material Combining Cryptographic Hash Function and DNA Steganography. - Alexandre Gilotte:
Ranking metrics on non-shuffled traffic. - Omid Shams Solari, Rojin Safavi, James B. Brown:
BLOCCS: Block Sparse Canonical Correlation Analysis With Application To Interpretable Omics Integration. - Omid S. Solari, James B. Brown, Peter J. Bickel:
Sparse Canonical Correlation Analysis via Concave Minimization. - Oleg Butkovsky, Konstantinos Dareiotis, Máté Gerencsér:
Approximation of SDEs - a stochastic sewing approach. - Milos Brajovic:
On reconstruction algorithms for signals sparse in Hermite and Fourier domains. - William E. Leeb:
Properties of Laplacian Pyramids for Extension and Denoising. - Matteo Santacesaria, Toshiaki Yachimura:
On an inverse Robin spectral problem. - Bosung Seo, Daniel Mariano, John Beckfield, Vinay Madenur, Yuming Hu, Tony Reina, Marcus Bobar, Mai H. Nguyen, Ilkay Altintas:
Cardiac MRI Image Segmentation for Left Ventricle and Right Ventricle using Deep Learning. - Ugo Tanielian, Flavian Vasile:
Relaxed Softmax for learning from Positive and Unlabeled data. - Matthew Porter, Pedro Hespanhol, Anil Aswani, Matthew Johnson-Roberson, Ram Vasudevan:
Detecting Generalized Replay Attacks via Time-Varying Dynamic Watermarking. - Ruiyang Zhang, Yang Liu, Hao Sun:
Physics-guided Convolutional Neural Network (PhyCNN) for Data-driven Seismic Response Modeling. - Takahiro Homma:
Generation mechanism of cell assembly to store information about hand recognition. - Abdelkerim Amari, Xiang Lin, Octavia A. Dobre, Ramachandran Venkatesan, Alex Alvarado:
Fiber Nonlinearity Mitigation via the Parzen Window Classifier for Dispersion Managed and Unmanaged Links. - Ahmad Salmanogli, Dinçer Gökcen, H. Selçuk Geçim:
Entanglement Sustainability in Quantum Radar. - Floriana Gargiulo, Florian Cafiero, Paul Guille-Escuret, Valerie Seror, Jeremy K. Ward:
Beyond polarization: the asymmetry of vaccine controversies in France. - Daniel Ramos, Juan Maroñas, Alicia Lozano-Diez:
Bayesian Strategies for Likelihood Ratio Computation in Forensic Voice Comparison with Automatic Systems. - Hong Wang, Minghan Li, Yichen Wu, Qian Zhao, Deyu Meng:
A Survey on Rain Removal from Video and Single Image. - Goksu Oruc, Handan Borluk, Gulcin M. Muslu:
The Generalized Fractional Benjamin-Bona-Mahony Equation: Analytical and Numerical Results. - Lianlei Lin, Naxian Ni, Zhiguo Yang, Suchuan Dong:
An Energy-Stable Scheme for Incompressible Navier-Stokes Equations with Periodically Updated Coefficient Matrix. - Jan Hermann, Zeno Schätzle, Frank Noé:
Deep neural network solution of the electronic Schrödinger equation. - Ranya Aloufi, Hamed Haddadi, David Boyle:
Emotion Filtering at the Edge. - Rui Li, Tao Wang:
DP-4-coloring of planar graphs with some restrictions on cycles. - Manuel Aprile, Samuel Fiorini:
Regular matroids have polynomial extension complexity. - Stefan Wolff, Fearghal O'Donncha, Bei Chen:
Statistical and machine learning ensemble modelling to forecast sea surface temperature. - Yorie Nakahira, Quanying Liu, Terrence J. Sejnowski, John C. Doyle:
Diversity-enabled sweet spots in layered architectures and speed-accuracy trade-offs in sensorimotor control. - Johannes Wachs, Mihály Fazekas, János Kertész:
Corruption Risk in Contracting Markets: A Network Science Perspective. - Maxim S. Derevyagin, Gerald V. Dunne, Gamal Mograby, Alexander Teplyaev:
Perfect quantum state transfer on diamond fractal graphs. - Egemen Sert, Yaneer Bar-Yam, Alfredo Jose Morales:
Segregation Dynamics with Reinforcement Learning and Agent Based Modeling. - Ashwin Pananjady, Martin J. Wainwright:
Value function estimation in Markov reward processes: Instance-dependent 𝓁∞-bounds for policy evaluation. - Banghua Zhu, Jiantao Jiao, Jacob Steinhardt:
Generalized Resilience and Robust Statistics. - Edward Y. Sheffield:
Extracting Super-resolution Details Directly from a Diffraction-Blurred Image or Part of Its Frequency Spectrum. - Viet Huynh, Nhat Ho, Nhan Dam, XuanLong Nguyen, Mikhail Yurochkin, Hung Bui, Dinh Q. Phung:
On Efficient Multilevel Clustering via Wasserstein Distances. - Alireza Barzegar, Ali Sadollah, Rong Su:
A Novel Fully Informed Water Cycle Algorithm for Solving Optimal Power Flow Problems in Electric Grids. - Sekitoshi Kanai, Yasutoshi Ida, Yasuhiro Fujiwara, Masanori Yamada, Shuichi Adachi:
Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks. - Sevag Gharibian, Ojas Parekh:
Almost optimal classical approximation algorithms for a quantum generalization of Max-Cut. - Fabian Eitel, Kerstin Ritter:
Testing the robustness of attribution methods for convolutional neural networks in MRI-based Alzheimer's disease classification. - Jan-Nico Zaech, Cong Gao, Bastian Bier, Russell H. Taylor, Andreas K. Maier, Nassir Navab, Mathias Unberath:
Learning to Avoid Poor Images: Towards Task-aware C-arm Cone-beam CT Trajectories. - Yongbing Zhang, Yangzhe Liu, Xiu Li, Shaowei Jiang, Krishna Dixit, Xinfeng Zhang, Xiangyang Ji:
PgNN: Physics-guided Neural Network for Fourier Ptychographic Microscopy. - Meng Huang, Yi Rong, Yang Wang, Zhiqiang Xu:
Almost Everywhere Generalized Phase Retrieval. - Álvaro Parafita, Jordi Vitrià:
Explaining Visual Models by Causal Attribution. - Hans Meine, Alessa Hering:
Efficient Prealignment of CT Scans for Registration through a Bodypart Regressor. - Sébastien Boyaval, Sofiane Martel, Julien Reygner:
Finite-Volume approximation of the invariant measure of a viscous stochastic scalar conservation law. - Shang-Nan Wang, Luan Cheng, Hai-Jun Zhou:
Collapse of Social Engagement and its Prevention by Local Recruitments. - Michal Marcinkiewicz, Grzegorz Mrukwa:
Quantitative Impact of Label Noise on the Quality of Segmentation of Brain Tumors on MRI scans. - Weimin Wang, Weiran Wang, Ming Sun, Chao Wang:
Acoustic scene analysis with multi-head attention networks. - Loc Tran, Linh Tran:
To Detect Irregular Trade Behaviors In Stock Market By Using Graph Based Ranking Methods. - Zhao-Yang Wang, Xiao-Yun Zhou, Peichao Li, Celia V. Riga, Guang-Zhong Yang:
Instantiation-Net: 3D Mesh Reconstruction from Single 2D Image for Right Ventricle. - Mohammed Zubair M. Shamim, Sadatullah Syed, Mohammad Shiblee, Mohammed Usman, Syed Ali:
Automated detection of oral pre-cancerous tongue lesions using deep learning for early diagnosis of oral cavity cancer. - Chaoping Zhang, Florian Dubost, Marleen de Bruijne, Stefan Klein, Dirk H. J. Poot:
APIR-Net: Autocalibrated Parallel Imaging Reconstruction using a Neural Network. - Vincent Le Guen, Nicolas Thome:
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models. - Andrew A. Catellier, Stephen D. Voran:
WEnets: A Convolutional Framework for Evaluating Audio Waveforms. - Louis Brown, Stefan Steinerberger:
On the Wasserstein Distance between Classical Sequences and the Lebesgue Measure. - Valeria Gelardi, Joël Fagot, Alain Barrat, Nicolas Claidière:
Detecting social (in)stability in primates from their temporal co-presence network. - Saima Rathore, Muhammad Aksam Iftikhar, Zissimos Mourelatos:
Prediction of overall survival and molecular markers in gliomas via analysis of digital pathology images using deep learning. - Gautam Krishna, Yan Han, Co Tran, Mason Carnahan, Ahmed H. Tewfik:
Spoken Speech Enhancement using EEG. - Jennie E. Brand, Jiahui Xu, Bernard Koch, Pablo Geraldo:
Uncovering Sociological Effect Heterogeneity using Machine Learning. - Anne Marie Delaney, Eoin Brophy, Tomas E. Ward:
Synthesis of Realistic ECG using Generative Adversarial Networks. - Sai Nithin R. Kantareddy, Ian Mathews, Shijing Sun, Mariya Layurova, Janak Thapa, Juan Pablo Correa-Baena, Rahul Bhattacharyya, Tonio Buonassisi, Sanjay E. Sarma, Ian Marius Peters:
Perovskite PV-powered RFID: enabling low-cost self-powered IoT sensors. - Meyer Scetbon, Gaël Varoquaux:
Comparing distributions: 𝓁1 geometry improves kernel two-sample testing. - Xiaoming Li, Chun Wang, Xiao Huang:
A Two-Stage Stochastic Programming Model for Car-Sharing Problem using Kernel Density Estimation. - Christian Borgs, Jennifer T. Chayes, Tyler Helmuth, Will Perkins, Prasad Tetali:
Efficient sampling and counting algorithms for the Potts model on Zd at all temperatures. - Jiaming Liu, Yu Sun, Ulugbek S. Kamilov:
Infusing Learned Priors into Model-Based Multispectral Imaging. - Jintian Lin, Yichao Zhang, Xiaoru Wang, Qingyue Chen:
Post-Disturbance Dynamic Frequency Features Prediction Based on Convolutional Neural Network. - Ye Fan, Xuewen Liao, Ang Li, Victor C. M. Leung:
Secure Interference Exploitation Precoding in MISO Wiretap Channel: Destructive Region Redefinition with Efficient Solutions. - Shuaiwen Wang, Haolei Weng, Arian Maleki:
Does SLOPE outperform bridge regression? - Juan Luis Gonzalez Bello, Munchurl Kim:
Deep 3D-Zoom Net: Unsupervised Learning of Photo-Realistic 3D-Zoom. - Eugène Ndiaye, Ichiro Takeuchi:
Computing Full Conformal Prediction Set with Approximate Homotopy. - Rupal Agravat, Mehul S. Raval:
Brain Tumor Segmentation and Survival Prediction. - Stefan Vlaski, Lieven Vandenberghe, Ali H. Sayed:
Regularized Diffusion Adaptation via Conjugate Smoothing. - Md Jahidul Islam, Sadman Sakib Enan, Peigen Luo, Junaed Sattar:
Underwater Image Super-Resolution using Deep Residual Multipliers. - Rahul Srinivas Sucharitha, Seokcheon Lee:
Application of Clustering Analysis for Investigation of Food Accessibility. - Didier Clamond, Denys Dutykh, Dimitrios Mitsotakis:
Hamiltonian regularisation of shallow water equations with uneven bottom. - Qiang Zheng, Lingzao Zeng, George E. Karniadakis:
Physics-informed semantic inpainting: Application to geostatistical modeling. - Austin Conner, Fulvio Gesmundo, Joseph M. Landsberg, Emanuele Ventura:
Tensors with maximal symmetries. - Saman Motamed, Isha Gujrathi, Dominik Deniffel, Anton Oentoro, Masoom A. Haider, Farzad Khalvati:
A Transfer Learning Approach for Automated Segmentation of Prostate Whole Gland and Transition Zone in Diffusion Weighted MRI. - Shigehiko Schamoni, Holger A. Lindner, Verena Schneider-Lindner, Manfred Thiel, Stefan Riezler:
Leveraging Implicit Expert Knowledge for Non-Circular Machine Learning in Sepsis Prediction. - Angelos Filos:
Reinforcement Learning for Portfolio Management. - Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Anand D. Sarwate:
Non-Parametric Structure Learning on Hidden Tree-Shaped Distributions. - Elena Smirnova, Elvis Dohmatob:
On the Convergence of Approximate and Regularized Policy Iteration Schemes. - Andreas Lugmayr, Martin Danelljan, Radu Timofte:
Unsupervised Learning for Real-World Super-Resolution. - M. Amin Bahmanian, Mateja Sajna:
Decomposing complete equipartite multigraphs into cycles of variable lengths: the amalgamation-detachment approach. - Ridha Nasri, Alain Simonian, Fabrice Guillemin:
An inversion formula with hypergeometric polynomials and application to singular integral operators. - Srikara S, Kishore Thapliyal, Anirban Pathak:
Continuous variable direct secure quantum communication using Gaussian states. - Yutao Chen, Nicolo Scarabottolo, Mattia Bruschetta, Alessandro Beghi:
An Efficient Move Blocking Strategy for Multiple Shooting based Nonlinear Model Predictive Control. - Antonio Khalil Moretti, Zizhao Wang, Luhuan Wu, Iddo Drori, Itsik Pe'er:
Particle Smoothing Variational Objectives. - Hunter Lang, Pengchuan Zhang, Lin Xiao:
Using Statistics to Automate Stochastic Optimization. - Beyrem Khalfaoui, Joseph Boyd, Jean-Philippe Vert:
ASNI: Adaptive Structured Noise Injection for shallow and deep neural networks. - Jiaming Xu, Dana Yang:
Optimal query complexity for private sequential learning. - Payam Delgosha, Venkat Anantharam:
Universal Lossless Compression of Graphical Data. - T. Tony Cai, Anru Zhang, Yuchen Zhou:
Sparse Group Lasso: Optimal Sample Complexity, Convergence Rate, and Statistical Inference. - Thomas Boquet, Laure Delisle, Denis Kochetkov, Nathan Schucher, Parmida Atighehchian, Boris N. Oreshkin, Julien Cornebise:
DECoVaC: Design of Experiments with Controlled Variability Components. - Jan Goedgebeur, Davide Mattiolo, Giuseppe Mazzuoccolo:
An algorithm and new bounds for the circular flow number of snarks. - Salar Fattahi, Nikolai Matni, Somayeh Sojoudi:
Efficient Learning of Distributed Linear-Quadratic Controllers. - Mohsen Jafarzadeh, Daniel Curtiss Hussey, Yonas Tadesse:
Deep learning approach to control of prosthetic hands with electromyography signals. - Jiaqi Zhang, Keyou You, Kai Cai:
Distributed Conjugate Gradient Tracking for Resource Allocation in Unbalanced Networks. - Shih-Kang Chao, Guang Cheng:
A generalization of regularized dual averaging and its dynamics. - Carmen Amo Alonso, Nikolai Matni:
Distributed and Localized Model Predictive Control via System Level Synthesis. - Ramen Ghosh, Jakub Marecek, Robert Shorten:
Iterated Piecewise-Stationary Random Functions. - Esha Bangar, Nima Taherkhani, Kamran Kiasaleh:
Sum Rate Capacity of MIMO HetNet Systems in the Presence of Channel Estimation Error. - Liangyuan Xu, Feifei Gao, Cheng Qian:
Gridless Angular Domain Channel Estimation for mmWave Massive MIMO System With One-Bit Quantization Via Approximate Message Passing. - Mohammad Javad Eslamibidgoli, Mehrdad Mokhtari, Michael H. Eikerling:
Recurrent Neural Network-based Model for Accelerated Trajectory Analysis in AIMD Simulations. - Pravir Singh Gupta, Xin Yuan, Gwan Seong Choi:
LISR: Image Super-resolution under Hardware Constraints. - Xuhui Meng, Zhen Li, Dongkun Zhang, George Em Karniadakis:
PPINN: Parareal Physics-Informed Neural Network for time-dependent PDEs. - Yuyu Guo:
Deep Local Global Refinement Network for Stent Analysis in IVOCT Images. - Dong Eui Chang:
Design of Globally Exponentially Convergent Continuous Observers for Velocity Bias and State for Systems on Real Matrix Groups. - Chitralekha Gupta, Emre Yilmaz, Haizhou Li:
Automatic Lyrics Transcription in Polyphonic Music: Does Background Music Help? - Zhigang Yao, Yuqing Xia:
Manifold Fitting under Unbounded Noise. - Tao Sun, Tianyi Chen, Yuejiao Sun, Qing Liao, Dongsheng Li:
Decentralized Markov Chain Gradient Descent. - Robert S. MacKay:
Inference of modes for linear stochastic processes. - Alberto Ravagnani:
Whitney Numbers of Combinatorial Geometries and Higher-Weight Dowling Lattices. - Maryam Zamani, Fereshteh Rabbani, Attila Horicsányi, Anna Zafeiris, Tamás Vicsek:
Differences in structure and dynamics of networks retrieved from dark and public web forums. - Tim Seppelt:
The Graph Isomorphism Problem: Local Certificates for Giant Action. - Alec Koppel, Amrit Singh Bedi, Victor Elvira, Brian M. Sadler:
Approximate Shannon Sampling in Importance Sampling: Nearly Consistent Finite Particle Estimates. - Hugo Lhachemi, Christophe Prieur, Emmanuel Trélat:
PI Regulation of a Reaction-Diffusion Equation with Delayed Boundary Control. - Jérôme Bolte, Edouard Pauwels:
Conservative set valued fields, automatic differentiation, stochastic gradient method and deep learning. - Slava Shechtman, Alexander Sorin:
Sequence to Sequence Neural Speech Synthesis with Prosody Modification Capabilities. - Nai-Hui Chia, Kai-Min Chung, Ching-Yi Lai:
On the Need for Large Quantum Depth. - Jesse Geneson, Peter M. Tian:
Formations and generalized Davenport-Schinzel sequences. - Debleena Sengupta:
Deep learning architectures for automated image segmentation. - Peter Giesl, Sigurdur F. Hafstein, Iman Mehrabinezhad:
Computation and verification of contraction metrics for exponentially stable equilibria. - Luis Ortegano, Esmitt Ramírez:
Serious Educational Reinforcement Game in Preschool. - Boris Knyazev, Carolyn Augusta, Graham W. Taylor:
Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions. - Sujan Vijayaraj, S. Nandakumar:
Impartial binary decisions through qubits. - Lorenzo Federici, Alessandro Zavoli, Guido Colasurdo:
A Time-Dependent TSP Formulation for the Design of an Active Debris Removal Mission using Simulated Annealing. - Sourav Chakraborty, Arkadev Chattopadhyay, Nikhil S. Mande, Manaswi Paraashar:
Quantum Query-to-Communication Simulation Needs a Logarithmic Overhead. - Martin Biel, Mikael Johansson:
Efficient Stochastic Programming in Julia. - Daniel Levy, John C. Duchi:
Necessary and Sufficient Conditions for Adaptive, Mirror, and Standard Gradient Methods. - Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck:
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods. - Jiahao Guo, Pramesh Singh, Kevin E. Bassler:
Reduced network extremal ensemble learning (RenEEL) scheme for community detection in complex networks. - Matthew Coudron, Sanketh Menda:
Computations with Greater Quantum Depth Are Strictly More Powerful (Relative to an Oracle). - Elie Wolfe, Alejandro Pozas-Kerstjens, Matan Grinberg, Denis Rosset, Antonio Acín, Miguel Navascués:
Quantum Inflation: A General Approach to Quantum Causal Compatibility. - Stefano Carrazza, Juan Cruz-Martinez, Jesús Urtasun-Elizari, Emilio Villa:
Towards hardware acceleration for parton densities estimation. - Federico Albanese, Claudio J. Tessone, Viktoriya Semeshenko, Pablo Balenzuela:
A data-driven model for Mass Media influence in electoral context. - Ziming Qiu, Nitin Nair, Jack Langerman, Orlando Aristizábal, Jonathan Mamou, Daniel H. Turnbull, Jeffrey A. Ketterling, Yao Wang:
Automatic Mouse Embryo Brain Ventricle & Body Segmentation and Mutant Classification From Ultrasound Data Using Deep Learning. - Jemin George, Anjaly Parayil, He Bai:
Multi-Agent Coordination for Distributed Transmit Beamforming. - Jiachen Xu, Moritz Grosse-Wentrup, Vinay Jayaram:
Tangent space spatial filters for interpretable and efficient Riemannian classification. - Vince Kurtz, Hai Lin:
Kalman Filtering with Gaussian Processes Measurement Noise. - Michel Rottleuthner, Thomas C. Schmidt, Matthias Wählisch:
Eco: A Hardware-Software Co-Design for In Situ Power Measurement on Low-end IoT Systems. - Rajat Talak, Sertac Karaman, Eytan H. Modiano:
A Theory of Uncertainty Variables for State Estimation and Inference. - Qi Luo, Hongxia Wang:
Phase Retrieval via Smooth Amplitude Flow. - Vinicius Pavanelli Vianna, Luiz Otávio Murta Júnior:
Analysis of Generalized Entropies in Mutual Information Medical Image Registration. - Hua Wang, Dewei Su, Longcun Jin, Chuangchuang Liu:
Deformable Non-local Network For Video Super-Resolution. - Jorge L. Barrera, Markus J. Geiss, Kurt Maute:
Hole Seeding in Level Set Topology Optimization via Density Fields. - Rüdiger Schmitz, Frederic Madesta, Maximilian Nielsen, René Werner, Thomas Rösch:
Multi-scale fully convolutional neural networks for histopathology image segmentation: from nuclear aberrations to the global tissue architecture. - Biao Li, Jiabin Liu, Bo Wang, Zhiquan Qi, Yong Shi:
s-LWSR: Super Lightweight Super-Resolution Network. - Arnaud Huaulmé, Sandrine Voros, Fabian Reche, Jean-Luc Faucheron, Alexandre Moreau-Gaudry, Pierre Jannin:
Offline identification of surgical deviations in laparoscopic rectopexy. - Maury Bramson, Bernardo D'Auria, Neil Walton:
Stability and Instability of the MaxWeight Policy. - Romuald A. Janik:
Entropy from Machine Learning. - Takayuki Kihara, Victor L. Selivanov:
Wadge-like degrees of Borel bqo-valued functions. - Wolfgang Erb:
Shapes of Uncertainty in Spectral Graph Theory. - Xiang Zhang, Lina Yao, Manqing Dong, Zhe Liu, Yu Zhang, Yong Li:
Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection. - Joan Bas-Serrano, Gergely Neu:
Faster saddle-point optimization for solving large-scale Markov decision processes. - Xuedou Xiao, Wei Wang, Taobin Chen, Yang Cao, Tao Jiang, Qian Zhang:
Sensor-Augmented Neural Adaptive Bitrate Video Streaming on UAVs. - Yiyuan Zhao:
Automatic techniques for cochlear implant CT image analysis. - Pengwei Wang, Liangchen Wei, Yong Cao, Jinghui Xie, Yuji Cao, Zaiqing Nie:
Understanding Semantics from Speech Through Pre-training. - Julian Marcon, Giacomo Castiglioni, David Moxey, Spencer J. Sherwin, Joaquim Peiró:
rp-adaptation for compressible flows. - Demival Vasques Filho, Dion R. J. O'Neale:
Bipartite networks describe R&D collaboration between institutions. - Yang Zheng, Aivar Sootla, Antonis Papachristodoulou:
Block Factor-width-two Matrices and Their Applications to Semidefinite and Sum-of-squares Optimization. - C. Gary Mena, Arno De Caigny, Kristof Coussement, Koen W. De Bock, Stefan Lessmann:
Churn Prediction with Sequential Data and Deep Neural Networks. A Comparative Analysis. - Juan D. Londoño, Christian Olivera:
Discretization by euler's method for regular lagrangian flow. - Uche Onyekpe, Stratis Kanarachos, Michael E. Fitzpatrick:
Spontaneous Fruit Fly Optimisation for truss weight minimisation: Performance evaluation based on the no free lunch theorem. - Jerimiah Wright:
Computational Chemistry on Quantum Computers. - Emilio Almansi, Verónica Becher:
Completely uniformly distributed sequences based on de Bruijn sequences. - Liang Chen, Paul Bentley, Kensaku Mori, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert:
Intelligent image synthesis to attack a segmentation CNN using adversarial learning. - Vedran Sekara, Elisa Omodei, Laura Healy, Jan Beise, Claus Hansen, Danzhen You, Saskia Blume, Manuel García-Herranz:
Mobile Phone Data for Children on the Move: Challenges and Opportunities. - Yanpei Shi, Qiang Huang, Thomas Hain:
Improving Robustness In Speaker Identification Using A Two-Stage Attention Model. - Carlo Cenedese, Giuseppe Belgioioso, Yu Kawano, Sergio Grammatico, Ming Cao:
Asynchronous and time-varying proximal type dynamics multi-agent network games. - Shusen Wang:
Simple and Almost Assumption-Free Out-of-Sample Bound for Random Feature Mapping. - Julianna D. Ianni, Rajath E. Soans, Sivaramakrishnan Sankarapandian, Ramachandra Vikas Chamarthi, Devi Ayyagari, Thomas G. Olsen, Michael J. Bonham, Coleman C. Stavish, Kiran Motaparthi, Clay J. Cockerell, Theresa A. Feeser, Jason B. Lee:
Augmenting the Pathology Lab: An Intelligent Whole Slide Image Classification System for the Real World. - Mohammad Akhlaghi:
Carving out the low surface brightness universe with NoiseChisel. - Haoyan Zhai, Magnus Egerstedt, Haomin Zhou:
Path Planning in Unknown Environments Using Optimal Transport Theory. - Nils Paz, Steven Silverman, John Harmon:
Quantum Entanglement in Time for a Distributed Ledger. - Si-Baek Seong, Hae-Jeong Park:
Automated identification of neural cells in the multi-photon images using deep-neural networks. - Morgan Heisler, Forson Chan, Zaid Mammo, Chandrakumar Balaratnasingam, Pavle Prentasic, Gavin Docherty, MyeongJin Ju, Sanjeeva Rajapakse, Sieun Lee, Andrew B. Merkur, Andrew W. Kirker, David A. Albiani, David Maberley, K. Bailey Freund, Mirza Faisal Beg, Sven Loncaric, Marinko V. Sarunic, Eduardo V. Navajas:
Deep learning vessel segmentation and quantification of the foveal avascular zone using commercial and prototype OCT-A platforms. - Simon Luo, Lamiae Azizi, Mahito Sugiyama:
Hierarchical Probabilistic Model for Blind Source Separation via Legendre Transformation. - Xiuyuan Cheng, Alexander Cloninger:
Classification Logit Two-sample Testing by Neural Networks. - Chongshuang Chen, Jun Zhao:
Joint optimization of train blocking and shipment path: An integrated model and a sequential algorithm. - Bo Tranberg, Kasper Koops Kratmann, Jason Stege:
Determining offshore wind installation times using machine learning and open data. - Moshe Babaioff, Uriel Feige:
A New Approach to Fair Distribution of Welfare. - Kristoffer Wickstrøm, Sigurd Løkse, Michael Kampffmeyer, Shujian Yu, José C. Príncipe, Robert Jenssen:
Information Plane Analysis of Deep Neural Networks via Matrix-Based Renyi's Entropy and Tensor Kernels. - A. Samoletov, Bakhtier Vasiev:
Temperature expressions and ergodicity of the Nosé-Hoover deterministic schemes. - Gergo Tóth, Johannes Wachs, Riccardo Di Clemente, Ákos Jakobi, Bence Ságvári, János Kertész, Balázs Lengyel:
Inequality is rising where social network segregation interacts with urban topology. - Guillermo Ortiz-Jiménez, Mireille El Gheche, Effrosyni Simou, Hermina Petric Maretic, Pascal Frossard:
CDOT: Continuous Domain Adaptation using Optimal Transport. - Gregor N. C. Simm, José Miguel Hernández-Lobato:
A Generative Model for Molecular Distance Geometry. - Karin van Garderen, Sebastian R. van der Voort, Fatih Incekara, Marion Smits, Stefan Klein:
Towards continuous learning for glioma segmentation with elastic weight consolidation. - Sergey Bravyi, David Gosset, Ramis Movassagh:
Classical algorithms for quantum mean values. - Hao Fu, Liheng Bian, Jun Zhang:
Non-imaging single-pixel sensing with optimized binary modulation. - Sebastian Goldt, Marc Mézard, Florent Krzakala, Lenka Zdeborová:
Modelling the influence of data structure on learning in neural networks. - Mahmut Yurt, Salman Ul Hassan Dar, Aykut Erdem, Erkut Erdem, Tolga Çukur:
mustGAN: Multi-Stream Generative Adversarial Networks for MR Image Synthesis. - Felix Canavoi, Martin Otto:
Cayley structures and common knowledge. - Yangang Chen, Justin W. L. Wan:
Deep Neural Network Framework Based on Backward Stochastic Differential Equations for Pricing and Hedging American Options in High Dimensions. - Christian Simon, Matteo Torcoli, Jouni Paulus:
MPEG-H Audio for Improving Accessibility in Broadcasting and Streaming. - Alec Koppel, Amrit Singh Bedi, Ketan Rajawat, Brian M. Sadler:
Optimally Compressed Nonparametric Online Learning. - Dirk Pauly, Jan Valdman:
Friedrichs/Poincare Type Constants for Gradient, Rotation, and Divergence: Theory and Numerical Experiments. - Giacomo Aletti:
Exact confidence interval for generalized Flajolet-Martin algorithms. - Sandeep Kumar, Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar:
Structured Graph Learning Via Laplacian Spectral Constraints. - Ayush Singh, Seyed Sadegh Mohseni Salehi, Ali Gholipour:
Deep Predictive Motion Tracking in Magnetic Resonance Imaging: Application to Fetal Imaging. - Tyler R. Scott, Karl Ridgeway, Michael C. Mozer:
Stochastic Prototype Embeddings. - Cristian Candia, Víctor Landaeta-Torres, César A. Hidalgo, Carlos Rodríguez-Sickert:
Strategic reciprocity improves academic performance in public elementary school children. - Yue Xing, Qifan Song, Guang Cheng:
Benefit of Interpolation in Nearest Neighbor Algorithms. - Wenxiang Cong, Hongming Shan, Xiaohua Zhang, Shaohua Liu, Ruola Ning, Ge Wang:
Deep-learning-based Breast CT for Radiation Dose Reduction. - Nishant Gurunath, Sai Krishna Rallabandi, Alan W. Black:
Disentangling Speech and Non-Speech Components for Building Robust Acoustic Models from Found Data. - Leo Dostal, Marten Hollm, Edwin Kreuzer:
Study on the Behavior of Weakly Nonlinear Water Waves in the Presence of Random Wind Forcing. - Vasileios Tzoumas, Ali Jadbabaie, George J. Pappas:
Robust and Adaptive Sequential Submodular Optimization. - Nikolaus Umlauf, Nadja Klein, Thorsten Simon, Achim Zeileis:
bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond). - Nilesh A. Ahuja, Ibrahima J. Ndiour, Trushant Kalyanpur, Omesh Tickoo:
Probabilistic Modeling of Deep Features for Out-of-Distribution and Adversarial Detection. - Chapman Siu:
Residual Networks Behave Like Boosting Algorithms. - Sajad Mousavi, Atiyeh Fotoohinasab, Fatemeh Afghah:
Single-modal and Multi-modal False Arrhythmia Alarm Reduction using Attention-based Convolutional and Recurrent Neural Networks. - Yuxiao Chen, Mohamadreza Ahmadi, Aaron D. Ames:
Optimal Safe Controller Synthesis: A Density Function Approach. - Adam Rupe, Nalini Kumar, Vladislav Epifanov, Karthik Kashinath, Oleksandr Pavlyk, Frank Schlimbach, Mostofa Patwary, Sergey Maidanov, Victor W. Lee, Prabhat, James P. Crutchfield:
DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems. - Jie Li, Chengyi Xia, Gaoxi Xiao, Yamir Moreno:
Crash dynamics of interdependent networks. - Sara Hosseinzadeh Kassani, Peyman Hosseinzadeh Kassani, Michal J. Wesolowski, Kevin A. Schneider, Ralph Deters:
Breast Cancer Diagnosis with Transfer Learning and Global Pooling. - Sankara Sai Chaithanya Rayudu, Pradeep Kiran Sarvepalli:
Quantum Bicyclic Hyperbolic Codes. - Yaofeng Desmond Zhong, Naomi Ehrich Leonard:
A Continuous Threshold Model of Cascade Dynamics. - Irem Cetin, Gerard Sanroma, Steffen E. Petersen, Sandy Napel, Oscar Camara, Miguel Ángel González Ballester, Karim Lekadir:
A Radiomics Approach to Computer-Aided Diagnosis with Cardiac Cine-MRI. - Zheng Hui, Xinbo Gao, Yunchu Yang, Xiumei Wang:
Lightweight Image Super-Resolution with Information Multi-distillation Network. - Sara Hosseinzadeh Kassani, Peyman Hosseinzadeh Kassani, Michal J. Wesolowski, Kevin A. Schneider, Ralph Deters:
A Hybrid Deep Learning Architecture for Leukemic B-lymphoblast Classification. - Sara Hosseinzadeh Kassani, Peyman Hosseinzadeh Kassani, Michal J. Wesolowski, Kevin A. Schneider, Ralph Deters:
Classification of Histopathological Biopsy Images Using Ensemble of Deep Learning Networks. - Youngmoon Jung, Yeunju Choi, Hoirin Kim:
Self-Adaptive Soft Voice Activity Detection using Deep Neural Networks for Robust Speaker Verification. - Huitao Shen, Pengfei Zhang, Yi-Zhuang You, Hui Zhai:
Information Scrambling in Quantum Neural Networks. - Po-Ya Hsu:
Dynamic Parameter Estimation of Brain Mechanisms. - Ruxandra Stoean, Dominic Iliescu, Catalin Stoean:
Segmentation of points of interest during fetal cardiac assesment in the first trimester from color Doppler ultrasound. - Yue Wang, Tong Wu, Yunlong Wang, Gao Wang:
Enhancing Model Interpretability and Accuracy for Disease Progression Prediction via Phenotype-Based Patient Similarity Learning. - Naomi Kirshner, Alex Samorodnitsky:
A moment ratio bound for polynomials and some extremal properties of Krawchouk polynomials and Hamming spheres. - Jelena Fiosina, Maksims Fiosins, Stefan Bonn:
Deep Learning and Random Forest-Based Augmentation of sRNA Expression Profiles. - Zdenek Dvorák, Jakub Pekárek:
Coloring near-quadrangulations of the cylinder and the torus. - Lars Kuger, Aleksandar Ichkov, Petri Mähönen, Ljiljana Simic:
Urban Outdoor Measurement Study of Phased Antenna Array Impact on Millimeter-Wave Link Opportunities and Beam Misalignment. - Ronen Eldan, Renan Gross:
Stability of Talagrand's influence inequality. - Kolyan Ray, Botond Szabó:
Debiased Bayesian inference for average treatment effects. - Attila Szolnoki, Xiaojie Chen:
Gradual learning supports cooperation in spatial prisoner's dilemma game. - Kostas Hatalis, Alberto J. Lamadrid, Katya Scheinberg, Shalinee Kishore:
A Novel Smoothed Loss and Penalty Function for Noncrossing Composite Quantile Estimation via Deep Neural Networks. - Nicolas Loizou:
Randomized Iterative Methods for Linear Systems: Momentum, Inexactness and Gossip. - Alberto Padoan, Fulvio Forni, Rodolphe Sepulchre:
The H∞, p norm as the differential L2, p gain of a p-dominant system. - Amir Ehsan Niaraki Asli, Ali Jannesari:
A Simulation of UAV Power Optimization via Reinforcement Learning. - Yi Huang, Ishanu Chattopadhyay:
Data Smashing 2.0: Sequence Likelihood (SL) Divergence For Fast Time Series Comparison. - Guillaume Verdon, Trevor McCourt, Enxhell Luzhnica, Vikash Singh, Stefan Leichenauer, Jack Hidary:
Quantum Graph Neural Networks. - Andrew J. Kurdila, Jia Guo, Sai Tej Paruchuri, Parag Bobade:
Persistence of Excitation in Reproducing Kernel Hilbert Spaces, Positive Limit Sets, and Smooth Manifolds. - Mostafa Nazari, Isaac Shiri, Ghasem Hajianfar, Niki Oveisi, Hamid Abdollahi, Mohammad Reza Deevband, Mehrdad Oveisi:
Non-Invasive Fuhrman Grading of Clear Cell Renal Cell Carcinoma Using Computed Tomography Radiomics Features and Machine Learning. - Dimitrios Letsios, Radu Baltean-Lugojan, Francesco Ceccon, Miten Mistry, Johannes Wiebe, Ruth Misener:
Approximation Algorithms for Process Systems Engineering. - Han-Wen Kuo, Anna E. Dorfi, Daniel V. Esposito, John N. Wright:
Compressed Sensing Microscopy with Scanning Line Probes. - Yang Zheng, Luca Furieri, Maryam Kamgarpour, Na Li:
On the Parameterization of Stabilizing Controllers using Closed-loop Responses. - Fatima Batool:
An agglomerative hierarchical clustering method by optimizing the average silhouette width. - Xiangrui Zeng, Hongyu Zheng:
CS Sparse K-means: An Algorithm for Cluster-Specific Feature Selection in High-Dimensional Clustering. - Digvijay Boob, Saurabh Sawlani, Di Wang:
Faster width-dependent algorithm for mixed packing and covering LPs. - Baha Eddine Youcef Belmekki, Abdelkrim Hamza, Benoît Escrig:
Non-Orthogonal Multiple Access Performance for Millimeter Wave in Vehicular Communications. - Gerardo Aquino, Weisi Guo, Alan Wilson:
Nonlinear Dynamic Models of Conflict via Multiplexed Interaction Networks. - Ke-Ke Shang, Michael Small, Yan Wang, Di Yin, Shu Li:
A novel metric for community detection. - Ruisen Luo, Tao Hu, Zuodong Tang, Chen Wang, Xiaofeng Gong, Haiyan Tu:
A Radio Signal Modulation Recognition Algorithm Based on Residual Networks and Attention Mechanisms. - Yossi Bokor, Daniel Grixti-Cheng, Markus Hegland, Stephen G. Roberts, Katharine Turner:
Stratified Space Learning: Reconstructing Embedded Graphs. - Xuan Wen, Qiong Li, Haokun Mao, Yi Luo, Bing-Ze Yan:
Novel Reconciliation Protocol Based on Spinal Code for Continuous-variable Quantum Key Distribution. - Jenish C. Mehta, Leonard J. Schulman:
Edge Expansion and Spectral Gap of Nonnegative Matrices. - Kenneth F. Caluya, Abhishek Halder:
Finite Horizon Density Steering for Multi-input State Feedback Linearizable Systems. - Ashish Sinha, Yohei Sugawara, Yuichiro Hirano:
GA-GAN: CT reconstruction from Biplanar DRRs using GAN with Guided Attention. - Anastasia Kruchinina, Elias Rudberg, Emanuel H. Rubensson:
Efficient computation of the density matrix with error control on distributed computer systems. - Valerio Perrone, Huibin Shen, Matthias W. Seeger, Cédric Archambeau, Rodolphe Jenatton:
Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning. - Tung Thanh Vu, Duy T. Ngo, Nguyen Hoang Tran, Hien Quoc Ngo, Minh N. Dao, Richard H. Middleton:
Cell-Free Massive MIMO for Wireless Federated Learning. - Seiichiro Tani:
Quantum Algorithm for Finding the Optimal Variable Ordering for Binary Decision Diagrams. - Minh Hoang Ly, Thinh Quang Dinh, Ha Hoang Kha:
Joint Optimization of Execution Latency and Energy Consumption for Mobile Edge Computing with Data Compression and Task Allocation. - Yi Guo, Xinyang Zhou, Changhong Zhao, Yue Chen, Tyler H. Summers, Lijun Chen:
Solving Optimal Power Flow for Distribution Networks with State Estimation Feedback. - Ali Rahmati, Seyyedali Hosseinalipour, Yavuz Yapici, Xiaofan He, Ismail Güvenç, Huaiyu Dai, Arupjyoti Bhuyan:
Dynamic Interference Management for UAV-Assisted Wireless Networks. - Jesús A. De Loera, Sean Kafer, Laura Sanità:
Pivot Rules for Circuit-Augmentation Algorithms in Linear Optimization. - Kostas Hatalis, Parv Venkitasubramaniam, Shalinee Kishore:
Modeling and Detection of Future Cyber-Enabled DSM Data Attacks using Supervised Learning. - Feifan Wang, Runzhou Jiang, Liqin Zheng, Bharat B. Biswal, Chun Meng:
Brain-wise Tumor Segmentation and Patient Overall Survival Prediction. - André G. C. Pacheco, Renato A. Krohling:
The impact of patient clinical information on automated skin cancer detection. - Zeju Li, Han Li, Hu Han, Gonglei Shi, Jiannan Wang, Shaohua Kevin Zhou:
Encoding CT Anatomy Knowledge for Unpaired Chest X-ray Image Decomposition. - Dóra Gréta Petróczy, László Csató:
A revenue allocation scheme based on pairwise comparisons. - Jason W. Wei, Arief A. Suriawinata, Louis J. Vaickus, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Naofumi Tomita, Behnaz Abdollahi, Adam S. Kim, Dale C. Snover, John A. Baron, Elizabeth L. Barry, Saeed Hassanpour:
Deep neural networks for automated classification of colorectal polyps on histopathology slides: A multi-institutional evaluation. - Oscar P. Bruno, Tao Yin:
Regularized integral equation methods for elastic scattering problems in three dimensions. - Kabir Opeyemi Olorede, Waheed Babatunde Yahya:
A New Covariance Estimator for Sufficient Dimension Reduction in High-Dimensional and Undersized Sample Problems. - Aida Maraj, Uwe Nagel:
Equivariant Hilbert series for hierarchical models. - Zhengkun Tian, Jiangyan Yi, Jianhua Tao, Ye Bai, Zhengqi Wen:
Self-Attention Transducers for End-to-End Speech Recognition. - Ming Cheng, Zhan Ma, M. Salman Asif, Yiling Xu, Haojie Liu, Wenbo Bao, Jun Sun:
A Dual Camera System for High Spatiotemporal Resolution Video Acquisition. - Georgios M. Nikolopoulos:
Optical scheme for cryptographic commitments with physical unclonable keys. - Julisa Bana Abraham:
Plasmodium Detection Using Simple CNN and Clustered GLCM Features. - Manish K. Gupta, Ujjwal Sen:
Transmitting quantum information by superposing causal order of mutually unbiased measurements. - Yue Chen, Andrey Bernstein, Adithya M. Devraj, Sean P. Meyn:
Model-Free Primal-Dual Methods for Network Optimization with Application to Real-Time Optimal Power Flow. - Andreas Georgiou, Vincent Fortuin, Harun Mustafa, Gunnar Rätsch:
Deep Multiple Instance Learning for Taxonomic Classification of Metagenomic read sets. - Xun Zheng, Chen Dan, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing:
Learning Sparse Nonparametric DAGs. - Emille E. O. Ishida, Matwey V. Kornilov, Konstantin L. Malanchev, Maria V. Pruzhinskaya, Alina A. Volnova, Vladimir S. Korolev, Florian Mondon, Sreevarsha Sreejith, Anastasia Malancheva, Shubhomoy Das:
Active Anomaly Detection for time-domain discoveries. - Satoru Fujishige, Kenjiro Takazawa, Yu Yokoi:
A Note on a Nearly Uniform Partition into Common Independent Sets of Two Matroids. - Yice Cao, Yan Wu, Peng Zhang, Wenkai Liang, Ming Li:
Pixel-Wise PolSAR Image Classification via a Novel Complex-Valued Deep Fully Convolutional Network. - Vítor Cerqueira, Luís Torgo, Carlos Soares:
Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters. - Matteo Negri, Davide Bergamini, Carlo Baldassi, Riccardo Zecchina, Christoph Feinauer:
Natural representation of composite data with replicated autoencoders. - Badr-Eddine Chérief-Abdellatif, Pierre Alquier:
MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy. - Christoph Kern, Bernd Weiss, Jan-Philipp Kolb:
A Longitudinal Framework for Predicting Nonresponse in Panel Surveys. - Krishna Kumar, Jeffrey Salmond, Shyamini Kularathna, Christopher Wilkes, Ezra Tjung, Giovanna Biscontin, Kenichi Soga:
Scalable and modular material point method for large-scale simulations. - Yi Luo, Enea Ceolini, Cong Han, Shih-Chii Liu, Nima Mesgarani:
FaSNet: Low-latency Adaptive Beamforming for Multi-microphone Audio Processing. - Jayanth Regatti, Gaurav Tendolkar, Yi Zhou, Abhishek Gupta, Yingbin Liang:
Distributed SGD Generalizes Well Under Asynchrony. - Orlando Romero, Sarthak Chatterjee, Sérgio Pequito:
Fractional-Order Model Predictive Control for Neurophysiological Cyber-Physical Systems: A Case Study using Transcranial Magnetic Stimulation. - Hal Schenck, Mike Stillman, Beihui Yuan:
A new bound for smooth spline spaces. - Andrew Polar, Michael Poluektov:
Canonical block-oriented model. - Zhigang Yao, Wee Chin Tan:
Manifold Fitting in Ambient Space. - Paul J. Voda, Ján Komara:
On Herbrand Skeletons. - Qing Gao, Guofeng Zhang, Ian R. Petersen:
An Improved Quantum Projection Filter. - David Salinas, Huibin Shen, Valerio Perrone:
A Copula approach for hyperparameter transfer learning. - Mohammad Hamghalam, Baiying Lei, Tianfu Wang:
Brain Tumor Synthetic Segmentation in 3D Multimodal MRI Scans. - Shivam Barwey, Malik Hassanaly, Venkat Raman, Adam Steinberg:
Using machine learning to construct velocity fields from OH-PLIF images. - Alexander Robey, Arman Adibi, Brent Schlotfeldt, George J. Pappas, Hamed Hassani:
Optimal Algorithms for Submodular Maximization with Distributed Constraints. - Daniel Polak, Itthi Chatnuntawech, Jaeyeon Yoon, Siddharth Srinivasan Iyer, Jongho Lee, Peter Bachert, Elfar Adalsteinsson, Kawin Setsompop, Berkin Bilgic:
Nonlinear Dipole Inversion (NDI) enables Quantitative Susceptibility Mapping (QSM) without parameter tuning. - Linlin Wang, Yu Wang, Mark J. F. Gales:
Non-native Speaker Verification for Spoken Language Assessment. - Tao Zhang, Quanyan Zhu:
On Incentive Compatibility in Dynamic Mechanism Design With Exit Option in a Markovian Environment. - Mikhail O. Chekanov, Oleg Shipitko:
X-ray and Visible Spectra Circular Motion Images Dataset. - Danilo Jimenez Rezende, Sébastien Racanière, Irina Higgins, Peter Toth:
Equivariant Hamiltonian Flows. - Roman Föll, Bernard Haasdonk, Markus Hanselmann, Holger Ulmer:
Deep recurrent Gaussian process with variational Sparse Spectrum approximation. - Joachim Fainberg, Ondrej Klejch, Erfan Loweimi, Peter Bell, Steve Renals:
Acoustic Model Adaptation from Raw Waveforms with SincNet. - Yfke Dulek, Alex B. Grilo, Stacey Jeffery, Christian Majenz, Christian Schaffner:
Secure Multi-party Quantum Computation with a Dishonest Majority. - Laurent Bartholdi, Michael Figelius, Markus Lohrey, Armin Weiß:
Groups with ALOGTIME-hard word problems and PSPACE-complete compressed word problems. - Thanh Huy Nguyen, Sylvie Daniel, Didier Guériot, Christophe Sintes, Jean-Marc Le Caillec:
Coarse-to-Fine Registration of Airborne LiDAR Data and Optical Imagery on Urban Scenes. - Robert Cornish, Anthony L. Caterini, George Deligiannidis, Arnaud Doucet:
Localised Generative Flows. - Wen Zhang, Yalin Wang:
Geometric Brain Surface Network For Brain Cortical Parcellation. - Emerson G. Escolar, Yasuaki Hiraoka, Mitsuru Igami, Yasin Ozcan:
Mapping Firms' Locations in Technological Space: A Topological Analysis of Patent Statistics. - Takuya Matsumoto, Masakiyo Kitazawa, Yasuhiro Kohno:
Classifying Topological Charge in SU(3) Yang-Mills Theory with Machine Learning. - Mariano Lemus, Mariana F. Ramos, Preeti Yadav, Nuno A. Silva, Nelson J. Muga, Andre Souto, Nikola Paunkovic, Paulo Mateus, Armando N. Pinto:
Generation and Distribution of Quantum Oblivious Keys for Secure Multiparty Computation. - Pablo Navarrete Michelini, Wenbin Chen, Hanwen Liu, Dan Zhu:
MGBPv2: Scaling Up Multi-Grid Back-Projection Networks. - Mohammad Mahdi Share Pasand:
Luenberger-Type Cubic Observers for State Estimation of Linear Systems. - Aritra Sarkar, Zaid Al-Ars, Carmen G. Almudéver, Koen Bertels:
An algorithm for DNA read alignment on quantum accelerators. - O. Duranthon, Matteo Marsili, Rongrong Xie:
Maximal Relevance and Optimal Learning Machines. - Michael de Oliveira, Isaac Nape, Jonathan Pinnell, Najmeh TabeBordbar, Andrew Forbes:
Experimental quantum secret sharing with spin-orbit structured photons. - Denis Prokopenko, Joël Valentin Stadelmann, Heinrich Schulz, Steffen Renisch, Dmitry V. Dylov:
Synthetic CT Generation from MRI Using Improved DualGAN. - Mohammad Hossein Homaei, Parisa Rafiee:
Enhanced distributed data aggregation method in the internet of things. - Zhiyuan Liu, Guohui Ding, Lijun Chen, Enoch Yeung:
Towards Scalable Koopman Operator Learning: Convergence Rates and A Distributed Learning Algorithm. - Lei Li:
On the convergence of gradient descent for two layer neural networks.
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