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ORCIDCoRR, January 2021
- Sayantan Choudhury
, Sachin Panneer Selvam, K. Shirish:
Circuit Complexity From Supersymmetric Quantum Field Theory With Morse Function. - Ying Zhao Lian, Colin N. Jones:
Nonlinear Data-Enabled Prediction and Control. - Djallel Bouneffouf:
Etat de l'art sur l'application des bandits multi-bras. - Alberto Racca, Luca Magri:
Automatic-differentiated Physics-Informed Echo State Network (API-ESN). - Edward Hermann Haeusler:
Yet another argument in favour of NP=CoNP. - Maryam Akbari-Moghaddam, Douglas G. Down:
A near-optimal policy for single-server scheduling with estimated job sizes. - Munachiso Nwadike, Takumi Miyawaki, Esha Sarkar, Michail Maniatakos, Farah Shamout:
Explainability Matters: Backdoor Attacks on Medical Imaging. - Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, Adina Williams:
Unnatural Language Inference. - Nikolaos Kekatos:
Encoding sinusoidal functions in hybrid automata formalism. - Simina Brânzei, Yuval Peres:
Consensus with Bounded Space and Minimal Communication. - Leo Gao, Stella Biderman, Sid Black, Laurence Golding, Travis Hoppe, Charles Foster, Jason Phang, Horace He, Anish Thite, Noa Nabeshima, Shawn Presser, Connor Leahy:
The Pile: An 800GB Dataset of Diverse Text for Language Modeling. - Maciej Skorski:
Random Embeddings with Optimal Accuracy. - Kailong Liu, Xiaosong Hu, Zhongbao Wei, Yi Li, Yan Jiang:
Modified Gaussian Process Regression Models for Cyclic Capacity Prediction of Lithium-ion Batteries. - Yuta Nakamura, Shouhei Hanaoka, Yukihiro Nomura, Naoto Hayashi, Osamu Abe, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki:
KART: Privacy Leakage Framework of Language Models Pre-trained with Clinical Records. - Arash Saeidi Rashk Olia, Dunja Peric:
Effects of Axial Load on the Location of a Combined Null Point in Energy Piles. - Philippe Casgrain, Anastasis Kratsios:
Optimizing Optimizers: Regret-optimal gradient descent algorithms. - Paavo Nevalainen, Parisa Movahedi, Jorge Peña Queralta, Tomi Westerlund, Jukka Heikkonen:
Long-Term Autonomy in Forest Environment using Self-Corrective SLAM. - Arash Saeidi Rashk Olia, Dunja Peric:
Effects of End Restraints on Thermo-Mechanical Response of Energy Piles. - Qianqian Tong, Guannan Liang, Tan Zhu, Jinbo Bi:
Federated Nonconvex Sparse Learning. - Kai Zhen, Mi Suk Lee, Jongmo Sung, Seungkwon Beack, Minje Kim:
Psychoacoustic Calibration of Loss Functions for Efficient End-to-End Neural Audio Coding. - Abhijit Das, John Jose, Prabhat Mishra:
Data Criticality in Multi-Threaded Applications: An Insight for Many-Core Systems. - Rajaswa Patil, Yaman Kumar Singla, Rajiv Ratn Shah, Mika Hama, Roger Zimmermann:
Towards Modelling Coherence in Spoken Discourse. - Mark Law:
Conflict-driven Inductive Logic Programming. - Thomas E. Valles, Hannah Shoenhard, Joseph Zinski, Sarah Trick, Mason A. Porter, Michael R. Lindstrom:
Networks of Necessity: Simulating Strategies for COVID-19 Mitigation among Disabled People and Their Caregivers. - Simina Brânzei, Jiawei Li:
The Query Complexity of Local Search and Brouwer in Rounds. - Zixiang Zhao, Jiangshe Zhang, Shuang Xu, Kai Sun, Lu Huang, Junmin Liu, Chunxia Zhang:
FGF-GAN: A Lightweight Generative Adversarial Network for Pansharpening via Fast Guided Filter. - Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Zhangyang Wang, Jingjing Liu:
EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets. - Zhikai Yao, Jennie Si, Ruofan Wu, Jianyong Yao:
Toward Reliable Designs of Data-Driven Reinforcement Learning Tracking Control for Euler-Lagrange Systems. - Tomaso A. Poggio, Qianli Liao:
Explicit regularization and implicit bias in deep network classifiers trained with the square loss. - Zhifeng Yu, Nanchun Shi:
A Multi-modal Deep Learning Model for Video Thumbnail Selection. - Anjalie Field, Chan Young Park, Yulia Tsvetkov:
Controlled Analyses of Social Biases in Wikipedia Bios. - Murat Kuscu, Özgür B. Akan:
Detection in Molecular Communications with Ligand Receptors under Molecular Interference. - Shiv Shankar, Don Towsley:
Bosonic Random Walk Networks for Graph Learning. - Denis Kolegov, Yulia Khalniyazova, Denis Varlakov:
Towards Threshold Key Exchange Protocols. - Emanuele Guidotti:
calculus: High Dimensional Numerical and Symbolic Calculus in R. - Américo Rio, Fernando Brito e Abreu:
PHP code smells in web apps: survival and anomalies. - Christian Nwachioma, Jose Humberto Pérez-Cruz:
Analysis of a new chaotic system, electronic realization and use in navigation of differential drive mobile robot. - Marzieh Ershad, Robert Rege, Ann Majewicz Fey:
Adaptive Surgical Robotic Training Using Real-Time Stylistic Behavior Feedback Through Haptic Cues. - Yuan Liang, Liang Qiu, Tiancheng Lu, Zhujun Fang, Dezhan Tu, Jiawei Yang, Tiandong Zhao, Yiting Shao, Kun Wang, Xiang 'Anthony' Chen, Lei He:
OralViewer: 3D Demonstration of Dental Surgeries for Patient Education with Oral Cavity Reconstruction from a 2D Panoramic X-ray. - Leonid A. Levin:
The Dual Matrix Algorithm for Linear Programming. - Nikolaos Kekatos:
Verifying a Cruise Control System using Simulink and SpaceEx. - Asmaa Alrushoud, Catie McEntee, Ning Lu:
A Zonal Volt/VAR Control Mechanism for High PV Penetration Distribution Systems. - Ali H. Abdollahi Bafghi, Mahtab Mirmohseni, Mohammad Reza Aref:
Achievable Rates for Binary Two-hop Channel with Energy Harvesting Relay With Finite Battery. - Eric Jiang, Meng-Hsi Chen, Ben Liang, Min Dong:
Task Offloading and Resource Allocation with Multiple CAPs and Selfish Users. - Donald J. Hammerstrom, Yashodhan P. Agalgaonkar, Stephen T. Elbert:
Energy Performance Analysis of Distributed Renewables: Pacific Northwest Smart Grid Demonstration. - Jean Maillard, Vladimir Karpukhin, Fabio Petroni, Wen-tau Yih, Barlas Oguz, Veselin Stoyanov, Gargi Ghosh:
Multi-task Retrieval for Knowledge-Intensive Tasks. - Karen Hambardzumyan, Hrant Khachatrian, Jonathan May:
WARP: Word-level Adversarial ReProgramming. - Xiulong Yang, Hui Ye, Yang Ye, Xiang Li, Shihao Ji:
Generative Max-Mahalanobis Classifiers for Image Classification, Generation and More. - Wasi Uddin Ahmad, Jianfeng Chi, Tu Le, Thomas Norton, Yuan Tian, Kai-Wei Chang:
Intent Classification and Slot Filling for Privacy Policies. - Xiao Guo, I-Hung Hsu, Wael AbdAlmageed, Premkumar Natarajan, Nanyun Peng:
MrGCN: Mirror Graph Convolution Network for Relation Extraction with Long-Term Dependencies. - Terence Wong, Markus Wagner, Christoph Treude:
Self-Adaptive Systems: A Systematic Literature Review Across Categories and Domains. - Jiaman Wu, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
Sensei: Self-Supervised Sensor Name Segmentation. - Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. - Amin Nikanjam, Mohammad Mehdi Morovati, Foutse Khomh, Houssem Ben Braiek:
Faults in Deep Reinforcement Learning Programs: A Taxonomy and A Detection Approach. - Yan Wang:
Sub-Gaussian Error Bounds for Hypothesis Testing. - Leibo Liu, Óscar Pérez Concha, Anthony N. Nguyen, Vicki Bennett, Louisa Jorm:
De-identifying Hospital Discharge Summaries: An End-to-End Framework using Ensemble of De-Identifiers. - Orchi Hassan, Supriyo Datta, Kerem Yunus Çamsari:
Quantitative Evaluation of Hardware Binary Stochastic Neurons. - Haoyue Shi, Luke Zettlemoyer, Sida I. Wang:
Bilingual Lexicon Induction via Unsupervised Bitext Construction and Word Alignment. - Hung Le, Chinnadhurai Sankar, Seungwhan Moon, Ahmad Beirami, Alborz Geramifard, Satwik Kottur:
DVD: A Diagnostic Dataset for Multi-step Reasoning in Video Grounded Dialogue. - Hailiang Liu, Peimeng Yin:
Energy stable Runge-Kutta discontinuous Galerkin schemes for fourth order gradient flows. - Liu Bin, Wang Liang, Guosheng Yin:
A Graph Total Variation Regularized Softmax for Text Generation. - Tianqing Fang, Hongming Zhang, Weiqi Wang, Yangqiu Song, Bin He:
DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense Knowledge. - Jing Lin, Ryan Luley, Kaiqi Xiong:
Active Learning Under Malicious Mislabeling and Poisoning Attacks. - David Enthoven, Zaid Al-Ars:
Fidel: Reconstructing Private Training Samples from Weight Updates in Federated Learning. - Hyunjae Kim, Jaewoo Kang:
How Do Your Biomedical Named Entity Models Generalize to Novel Entities? - Jin Gyu Lee, Hyungbo Shim:
Design of heterogeneous multi-agent system for distributed computation. - Yi Cheng, Sujian Li, Yueyuan Li:
Unifying Discourse Resources with Dependency Framework. - Daniel Szelogowski:
Generative Deep Learning for Virtuosic Classical Music: Generative Adversarial Networks as Renowned Composers. - Daniel Szelogowski:
Visualization Techniques with Data Cubes: Utilizing Concurrency for Complex Data. - Daniel Szelogowski:
Optimizing Data Cube Visualization for Web Applications: Performance and User-Friendly Data Aggregation. - Daniel Szelogowski:
Chunk List: Concurrent Data Structures. - Mohamed Elhoseiny, Kai Yi, Mohamed Elfeki:
CIZSL++: Creativity Inspired Generative Zero-Shot Learning. - Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao:
UnitedQA: A Hybrid Approach for Open Domain Question Answering. - Sunil Gundapu, Radhika Mamidi:
Transformer based Automatic COVID-19 Fake News Detection System. - Md. Touhidul Islam, Sanjida Reza Rafa, Md. Golam Kibria:
Early Prediction of Heart Disease Using PCA and Hybrid Genetic Algorithm with k-Means. - Tianyu Wang, Vikas Dhiman, Nikolay Atanasov:
Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning. - Xiang Lisa Li, Percy Liang:
Prefix-Tuning: Optimizing Continuous Prompts for Generation. - Yuris Mulya Saputra, Dinh Thai Hoang, Diep N. Nguyen, Eryk Dutkiewicz:
Dynamic Federated Learning-Based Economic Framework for Internet-of-Vehicles. - Zhengxuan Wu, Desmond C. Ong:
On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification. - Chang Keun Paik, Naeun Ko, Youngjoon Yoo:
More than just an auxiliary loss: Anti-spoofing Backbone Training via Adversarial Pseudo-depth Generation. - Xiaoxue Zhang, Zilong Cheng, Jun Ma, Sunan Huang, Frank L. Lewis, Tong Heng Lee:
Semi-Definite Relaxation Based ADMM for Cooperative Planning and Control of Connected Autonomous Vehicles. - Anish Madan, Ranjitha Prasad:
B-SMALL: A Bayesian Neural Network approach to Sparse Model-Agnostic Meta-Learning. - Abhik Bhattacharjee, Tahmid Hasan, Kazi Samin, M. Sohel Rahman, Anindya Iqbal, Rifat Shahriyar:
BanglaBERT: Combating Embedding Barrier for Low-Resource Language Understanding. - Ginni Garg, Dheeraj Kumar, ArvinderPal, Yash Sonker, Ritu Garg:
A Hybrid MLP-SVM Model for Classification using Spatial-Spectral Features on Hyper-Spectral Images. - Ginni Garg, Mantosh Biswas:
Improved Neural Network based Plant Diseases Identification. - Ginni Garg, Ritu Garg:
Brain Tumor Detection and Classification based on Hybrid Ensemble Classifier. - Weidong Mei, Rui Zhang:
Multi-Beam Multi-Hop Routing for Intelligent Reflecting Surfaces Aided Massive MIMO. - Yingshi Chen:
An iterative K-FAC algorithm for Deep Learning. - Xin Ma, Zhicheng Zhang, Danfeng Wang, Yu Luo, Hui Yuan:
Adaptive Deconvolution-based stereo matching Net for Local Stereo Matching. - Machel Reid, Edison Marrese-Taylor, Yutaka Matsuo:
Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers. - Yuting Zhan, Hamed Haddadi:
MoSen: Activity Modelling in Multiple-Occupancy Smart Homes. - Hui Zhong, Zaiyi Chen, Chuan Qin, Zai Huang, Vincent W. Zheng, Tong Xu, Enhong Chen:
Adam revisited: a weighted past gradients perspective. - Siddique Latif, Heriberto Cuayáhuitl, Farrukh Pervez, Fahad Shamshad, Hafiz Shehbaz Ali, Erik Cambria:
A Survey on Deep Reinforcement Learning for Audio-Based Applications. - Gwanghyun Jo, Do Young Kwak, Young Ju Lee:
Locally conservative immersed finite element method for elliptic interface problems. - Hiroshi Kera, Yoshihiko Hasegawa:
Monomial-agnostic computation of vanishing ideals. - Jinghe Wang, Wankai Tang, Yu Han, Shi Jin, Xiao Li, Chao-Kai Wen, Qiang Cheng, Tie Jun Cui:
Interplay between RIS and AI in Wireless Communications: Fundamentals, Architectures, Applications, and Open Research Problems. - Oded Nov:
Interface Features and Users' Well-Being: Measuring the Sensitivity of Users' Well-Being to Resource Constraints and Feature Types. - Pengyuan Zhou, Benjamin Finley, Xuebing Li, Sasu Tarkoma, Jussi Kangasharju, Mostafa H. Ammar, Pan Hui:
5G MEC Computation Handoff for Mobile Augmented Reality. - Bin Li:
Efficient Learning-based Scheduling for Information Freshness in Wireless Networks. - Sajad Norouzi, Yanshuai Cao:
Semantic Parsing with Less Prior and More Monolingual Data. - Eleftherios Triantafyllidis, Zhibin Li:
The Challenges in Modeling Human Performance in 3D Space with Fitts' Law. - Batool Ibrahim, Hassan Noura:
Formation Flight Control of Multi-UAV System Using Neighbor-based Trajectory Generation Topology. - Xiaopeng Lu, Tiancheng Zhao, Kyusong Lee:
VisualSparta: Sparse Transformer Fragment-level Matching for Large-scale Text-to-Image Search. - Yu Gan, Mingyu Liang, Sundar Dev, David Lo, Christina Delimitrou:
Sage: Using Unsupervised Learning for Scalable Performance Debugging in Microservices. - Alessandro Tundo, Chiara Castelnovo, Marco Mobilio, Oliviero Riganelli, Leonardo Mariani:
Declarative Dashboard Generation. - Joar Skalse:
A General Counterexample to Any Decision Theory and Some Responses. - Valentina Anita Carriero, Aldo Gangemi, Andrea Giovanni Nuzzolese, Valentina Presutti:
An Ontology Design Pattern for representing Recurrent Situations. - Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer, Daniel S. Weld:
Polyjuice: Automated, General-purpose Counterfactual Generation. - Sainan Zhang, Tzu-Hao Huang, Chunhai Jiao, Mhairi MacLean, Junxi Zhu, Shuangyue Yu, Hao Su:
Design and Actuator Optimization of Lightweight and Compliant Knee Exoskeleton for Mobility Assistance of Children with Crouch Gait. - Sriram Siva, Maggie B. Wigness, John G. Rogers, Hao Zhang:
Robot Adaptation for Generating Consistent Navigational Behaviors over Unstructured Off-Road Terrain. - Hossein Pirayesh, Huacheng Zeng:
Jamming Attacks and Anti-Jamming Strategies in Wireless Networks: A Comprehensive Survey. - Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen:
Reader-Guided Passage Reranking for Open-Domain Question Answering. - Ali Tourani, Sajjad Soroori, Asadollah Shahbahrami, Ali Reza Akoushideh:
Iranis: A Large-scale Dataset of Farsi License Plate Characters. - Peter Cihon, Taha Yasseri, Scott Hale, Helen Z. Margetts:
Tweeting for the Cause: Network analysis of UK petition sharing. - Jeff Da, Ronan Le Bras, Ximing Lu, Yejin Choi, Antoine Bosselut:
Understanding Few-Shot Commonsense Knowledge Models. - Dhruv Malik, Yuanzhi Li, Pradeep Ravikumar:
When Is Generalizable Reinforcement Learning Tractable? - Fang Liu, Dong Wang, Zhengquan Xu:
Privacy-preserving Travel Time Prediction with Uncertainty Using GPS Trace Data. - Fang Liu, Xingyuan Zhao, Gaofei Zhang:
Disclosure Risk from Homogeneity Attack in Differentially Private Frequency Distribution. - Otmar Ertl:
SetSketch: Filling the Gap between MinHash and HyperLogLog. - Xiaofeng Liu, Bo Hu, Xiongchang Liu, Jun Lu, Jane You, Lingsheng Kong:
Energy-constrained Self-training for Unsupervised Domain Adaptation. - Xiaofeng Liu, Linghao Jin, Xu Han, Jun Lu, Jane You, Lingsheng Kong:
Identity-aware Facial Expression Recognition in Compressed Video. - Xiaofeng Liu, Xiongchang Liu, Bo Hu, Wenxuan Ji, Fangxu Xing, Jun Lu, Jane You, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo:
Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis. - Eric Hallman:
Faster Stochastic Trace Estimation with a Chebyshev Product Identity. - Joseph S. B. Mitchell:
Approximating Maximum Independent Set for Rectangles in the Plane. - Mitziu Echeverria, Zeeshan Ahmed, Bincheng Wang, M. Fareed Arif, Syed Rafiul Hussain, Omar Chowdhury:
PHOENIX: Device-Centric Cellular Network Protocol Monitoring using Runtime Verification. - Muhammad Saad, Zhan Qin, Kui Ren, DaeHun Nyang, David Mohaisen:
e-PoS: Making Proof-of-Stake Decentralized and Fair. - Md Sakib Hasan, Aysha S. Shanta, Partha Sarathi Paul, Maisha Sadia, Md. Badruddoja Majumder, Garrett S. Rose:
Design of an Enhanced Reconfigurable Chaotic Oscillator using G4FET-NDR Based Discrete Map. - Hanxun Huang, Xingjun Ma, Sarah M. Erfani, James Bailey:
Neural Architecture Search via Combinatorial Multi-Armed Bandit. - Tobias Schlosser, Frederik Beuth, Danny Kowerko:
Biologically Inspired Hexagonal Deep Learning for Hexagonal Image Generation. - Hong Luo, Gianni Absillis, Robert R. Nourgaliev:
A Moving Discontinuous Galerkin Finite Element Method with Interface Conservation Enforcement for Compressible Flows. - Angus Baird, Stefano Giani:
An Artificial Intelligence System for Combined Fruit Detection and Georeferencing, Using RTK-Based Perspective Projection in Drone Imagery. - Hyesung Kim, Jihong Park, Mehdi Bennis, Seong-Lyun Kim, Mérouane Debbah:
Mean-Field Game-Theoretic Edge Caching. - Yasumasa Onoe, Michael Boratko, Greg Durrett:
Modeling Fine-Grained Entity Types with Box Embeddings. - John Hawkins:
Minimum Viable Model Estimates for Machine Learning Projects. - Abhishek Das, Japsimar Singh Wahi, Mansi Anand, Yugant Rana:
Multi-Image Steganography Using Deep Neural Networks. - Geoff Boeing, Dani Arribas-Bel:
GIS and Computational Notebooks. - Amanda Coston, Ashesh Rambachan, Alexandra Chouldechova:
Characterizing Fairness Over the Set of Good Models Under Selective Labels. - Mehmet Kolcu, Alper Ekrem Murat:
Integrated Optimization of Predictive and Prescriptive Tasks. - Yehua Wei, Lei Zhang, Ruiyi Zhang, Shijing Si, Hao Zhang, Lawrence Carin:
Reinforcement Learning for Flexibility Design Problems. - Mingjian Zhu, Chenrui Duan, Changbin Yu:
Video Captioning in Compressed Video. - Olga Poppe, Chuan Lei, Lei Ma, Allison Rozet, Elke A. Rundensteiner:
To Share, or not to Share Online Event Trend Aggregation Over Bursty Event Streams. - Chi-Jen Wu, Wei-Sheng Zeng, Jan-Ming Ho:
Optimal Segmented Linear Regression for Financial Time Series Segmentation. - Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, Jackie Chi Kit Cheung, Yejin Choi:
On-the-Fly Attention Modularization for Neural Generation. - Bill Yuchen Lin, Ziyi Wu, Yichi Yang, Dong-Ho Lee, Xiang Ren:
RiddleSense: Answering Riddle Questions as Commonsense Reasoning. - Lihao Zhang, Taotao Wang, Soung Chang Liew:
Speeding up Block Propagation in Blockchain Network: Uncoded and Coded Designs. - Sharon Levy, Michael Saxon, William Yang Wang:
The Truth is Out There: Investigating Conspiracy Theories in Text Generation. - Aleksey K. Alekseev, Alexander E. Bondarev:
The Estimation of Approximation Error using the Inverse Problem and the Set of Numerical Solutions. - Bohai Li, Qian Wang, He Chen, Yong Zhou, Yonghui Li:
Optimizing Information Freshness for Cooperative IoT Systems with Stochastic Arrivals. - Jui Shah, Yaman Kumar Singla, Changyou Chen, Rajiv Ratn Shah:
What all do audio transformer models hear? Probing Acoustic Representations for Language Delivery and its Structure. - Houjin Yu, Xian-Ling Mao, Zewen Chi, Wei Wei, Heyan Huang:
A Robust and Domain-Adaptive Approach for Low-Resource Named Entity Recognition. - Alexander Spangher, Jonathan May, Sz-Rung Shiang, Lingjia Deng:
Multitask Learning for Class-Imbalanced Discourse Classification. - Changhan Wang, Morgane Rivière, Ann Lee, Anne Wu, Chaitanya Talnikar, Daniel Haziza, Mary Williamson, Juan Miguel Pino, Emmanuel Dupoux:
VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation. - Najoung Kim, Ellie Pavlick, Burcu Karagol Ayan, Deepak Ramachandran:
Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering. - Hao Fei, Meishan Zhang, Bobo Li, Donghong Ji:
End-to-end Semantic Role Labeling with Neural Transition-based Model. - Siqiang Chen, Masahiro Toyoura, Takamasa Terada, Xiaoyang Mao, Gang Xu:
Image-based Textile Decoding. - (Withdrawn) Lex-BERT: Enhancing BERT based NER with lexicons.
- Naveen T. R. Babu, Christopher Stewart:
Early Work on Efficient Patching for Coordinating Edge Applications. - Aram Ebtekar, Paul Liu:
An Elo-like System for Massive Multiplayer Competitions. - Hiroshi Kera:
Border Basis Computation with Gradient-Weighted Norm. - Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze:
Superbizarre Is Not Superb: Improving BERT's Interpretations of Complex Words with Derivational Morphology. - Mario Kapl, Vito Vitrih:
C1 isogeometric spline space for trilinearly parameterized multi-patch volumes. - Avi Caciularu, Arman Cohan, Iz Beltagy, Matthew E. Peters, Arie Cattan, Ido Dagan:
Cross-Document Language Modeling. - Liyuan Wang, Kuo Yang, Chongxuan Li, Lanqing Hong, Zhenguo Li, Jun Zhu:
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-supervised Continual Learning. - Devendra Singh Sachan, Mostofa Patwary, Mohammad Shoeybi, Neel Kant, Wei Ping, William L. Hamilton, Bryan Catanzaro:
End-to-End Training of Neural Retrievers for Open-Domain Question Answering. - Haoyue Shi, Karen Livescu, Kevin Gimpel:
Substructure Substitution: Structured Data Augmentation for NLP. - Wangchunshu Zhou, Tao Ge, Ke Xu, Furu Wei:
Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting. - Xing Li, Wei Wei, Xiangnan Feng, Zhiming Zheng:
Representation Learning of Reconstructed Graphs Using Random Walk Graph Convolutional Network. - Yiran Xing, Zai Shi, Zhao Meng, Yunpu Ma, Roger Wattenhofer:
KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation. - Qinyuan Ye, Xiang Ren:
Zero-shot Learning by Generating Task-specific Adapters. - Nikolay Bogoychev, Pinzhen Chen:
Decoding Time Lexical Domain Adaptationfor Neural Machine Translation. - Davide Bianchi, Marco Donatelli, Fabio Durastante, Mariarosa Mazza:
Compatibility, embedding and regularization of non-local random walks on graphs. - Abu Awal Md Shoeb, Gerard de Melo:
Assessing Emoji Use in Modern Text Processing Tools. - Matteo Poggi, Seungryong Kim, Fabio Tosi, Sunok Kim, Filippo Aleotti, Dongbo Min, Kwanghoon Sohn, Stefano Mattoccia:
On the confidence of stereo matching in a deep-learning era: a quantitative evaluation. - Michael Saxon, Sharon Levy, Xinyi Wang, Alon Albalak, William Yang Wang:
Dimensions of Transparency in NLP Applications. - Yuval Kirstain, Ori Ram, Omer Levy:
Coreference Resolution without Span Representations. - Omar Khattab, Christopher Potts, Matei Zaharia:
Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval. - Ori Ram, Yuval Kirstain, Jonathan Berant, Amir Globerson, Omer Levy:
Few-Shot Question Answering by Pretraining Span Selection. - Alexandros Stergiou, Ronald Poppe, Grigorios Kalliatakis:
Refining activation downsampling with SoftPool. - Sourav Garg, Niko Sünderhauf, Feras Dayoub, Douglas Morrison, Akansel Cosgun, Gustavo Carneiro, Qi Wu, Tat-Jun Chin, Ian D. Reid, Stephen Gould, Peter Corke, Michael Milford:
Semantics for Robotic Mapping, Perception and Interaction: A Survey. - Sergio Cabello, Michael Hoffmann, Katharina Klost, Wolfgang Mulzer, Josef Tkadlec:
Long plane trees. - David Auber, Pavel Valtr:
Graph Drawing and Network Visualization GD2020. - Barbara Giunti:
Notes on pivot pairings. - Sayantan Adak, Souvic Chakraborty, Paramita Das, Mithun Das, Abhisek Dash, Rima Hazra, Binny Mathew, Punyajoy Saha, Soumya Sarkar, Animesh Mukherjee:
Mining the online infosphere: A survey. - Sami Khairy, Prasanna Balaprakash, Lin X. Cai, H. Vincent Poor:
Learning-Based Distributed Random Access for Multi-Cell IoT Networks with NOMA. - Alina Roitberg, Monica Haurilet, Manuel Martínez, Rainer Stiefelhagen:
Uncertainty-sensitive Activity Recognition: a Reliability Benchmark and the CARING Models. - Adil I. Erzin, Vladimir Shenmaier:
An Improved Approximation for Packing Big Two-Bar Charts. - Iuliana Marin:
Study of mental health and learning engagement during COVID-19 pandemic based on an electroencephalogram headset. - Nelson P. K. Chan, Bayu Jayawardhana, Héctor García de Marina:
Securing Isosceles Triangular Formations under Heterogeneous Sensing and Mixed Constraints. - Ramesha Karunasena, Piumi Sandarenu, Madushi Pinto, Achala Athukorala, Ranga Rodrigo, Peshala Jayasekara:
DEVI: Open-source Human-Robot Interface for Interactive Receptionist Systems. - Somya D. Mohanty, Brown Biggers, Saed SayedAhmed, Nastaran Pourebrahim, Evan B. Goldstein, Rick Bunch, Guangqing Chi, Fereidoon Sadri, Tom P. McCoy, Arthur Cosby:
A multi-modal approach towards mining social media data during natural disasters - a case study of Hurricane Irma. - Junming Zhang, Ming-Yuan Yu, Ram Vasudevan, Matthew Johnson-Roberson:
Learning Rotation-Invariant Representations of Point Clouds Using Aligned Edge Convolutional Neural Networks. - Sanaz Azimipour, Pavel Naumov:
If You're Happy, Then You Know It: The Logic of Happiness... and Sadness. - Minbo Gao, Tianle Xie, Simon S. Du, Lin F. Yang:
A Provably Efficient Algorithm for Linear Markov Decision Process with Low Switching Cost. - Abhishek Das, Vivek Dhuri, Aditya Desai, Suyash Ail, Ameya Kadam:
Smart Car Features using Embedded Systems and IoT. - Benjamin Maschler, Thi Thu Huong Pham, Michael Weyrich:
Regularization-based Continual Learning for Anomaly Detection in Discrete Manufacturing. - Ben S. Southworth, Oliver A. Krzysik, Will Pazner, Hans De Sterck:
Fast parallel solution of fully implicit Runge-Kutta and discontinuous Galerkin in time for numerical PDEs, Part I: the linear setting. - Yan Liu, Yansha Deng, Hui Zhou, Maged Elkashlan, Arumugam Nallanathan:
A General Deep Reinforcement Learning Framework for Grant-Free NOMA Optimization in mURLLC. - Ibrahim Yilmaz, Ambareen Siraj, Denis A. Ulybyshev:
Improving DGA-Based Malicious Domain Classifiers for Malware Defense with Adversarial Machine Learning. - Serban Stan, Mohammad Rostami:
Privacy Preserving Domain Adaptation for Semantic Segmentation of Medical Images. - Sudipta Banerjee, Arun Ross:
One-shot Representational Learning for Joint Biometric and Device Authentication. - Pengchuan Zhang, Xiujun Li, Xiaowei Hu, Jianwei Yang, Lei Zhang, Lijuan Wang, Yejin Choi, Jianfeng Gao:
VinVL: Making Visual Representations Matter in Vision-Language Models. - Baiming Chen, Zuxin Liu, Jiacheng Zhu, Mengdi Xu, Wenhao Ding, Ding Zhao:
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments. - Dinghua Shi, Zhifeng Chen, Xiang Sun, Qinghua Chen, Yang Lou, Guanrong Chen:
Computing Cliques and Cavities in Networks. - Zeming Chen:
Attentive Tree-structured Network for Monotonicity Reasoning. - Yanyang Li, Ye Lin, Tong Xiao, Jingbo Zhu:
An Efficient Transformer Decoder with Compressed Sub-layers. - Taehyeun Park, Walid Saad, Bo Zhou:
Centralized and Distributed Age of Information Minimization with non-linear Aging Functions in the Internet of Things. - Ashraful Islam, Chengjiang Long, Richard J. Radke:
A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization. - William T. Redman:
On Koopman Mode Decomposition and Tensor Component Analysis. - Hyungbo Shim, Juhoon Back, Yongsoon Eun, Gyunghoon Park, Jihan Kim:
Zero-dynamics Attack, Variations, and Countermeasures. - Sairam Sri Vatsavai, Ishan G. Thakkar:
Silicon Photonic Microring Based Chip-Scale Accelerator for Delayed Feedback Reservoir Computing. - Tianxiao Zhang, Wenchi Ma, Guanghui Wang:
Six-channel Image Representation for Cross-domain Object Detection. - Arkabandhu Chowdhury, Mingchao Jiang, Chris Jermaine:
Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier. - Sahil Sidheekh:
Learning Neural Networks on SVD Boosted Latent Spaces for Semantic Classification. - Usman Ashraf, Amir Khwaja, Junaid Qadir, Stefano Avallone, Chau Yuen:
WiMesh: Leveraging Mesh Networking For Disaster Communication in Poor Regions of the World. - Amir Zadeh, Santiago Benoit, Louis-Philippe Morency:
StarNet: Gradient-free Training of Deep Generative Models using Determined System of Linear Equations. - Nimrod Segol, Boaz Nadler:
Improved Convergence Guarantees for Learning Gaussian Mixture Models by EM and Gradient EM. - Tom Demeulemeester, Dries R. Goossens, Ben Hermans, Roel Leus:
Risk aversion in one-sided matching. - Lihi Dery:
Multi-label Ranking: Mining Multi-label and Label Ranking Data. - Anthony Cowley, Ian D. Miller, Camillo Jose Taylor:
UPSLAM: Union of Panoramas SLAM. - Lorenzo Ferretti, Jihye Kwon, Giovanni Ansaloni, Giuseppe Di Guglielmo, Luca P. Carloni, Laura Pozzi:
DB4HLS: A Database of High-Level Synthesis Design Space Explorations. - Xin Jin, Cuiling Lan, Wenjun Zeng, Zhibo Chen:
Style Normalization and Restitution for DomainGeneralization and Adaptation. - Matthias Nickles:
diff-SAT - A Software for Sampling and Probabilistic Reasoning for SAT and Answer Set Programming. - Chen Zhao, Yixiao Ge, Jiaqi Yang, Feng Zhu, Rui Zhao, Hongsheng Li:
Consensus-Guided Correspondence Denoising. - Xuerui Wang, Tigran Mkhoyan, Roeland de Breuker:
Nonlinear Incremental Control for Flexible Aircraft Trajectory Tracking and Load Alleviation. - Zhongxing Sun, Wei Cui, Yulong Liu:
Phase Transitions in Recovery of Structured Signals from Corrupted Measurements. - Zhuqing Jiang, Haotian Li, Liangjie Liu, Aidong Men, Haiying Wang:
A Switched View of Retinex: Deep Self-Regularized Low-Light Image Enhancement. - Jizhe Zhou, Chi-Man Pun, Yu Tong:
Privacy-sensitive Objects Pixelation for Live Video Streaming. - Jizhe Zhou, Chi-Man Pun, Yu Tong:
News Image Steganography: A Novel Architecture Facilitates the Fake News Identification. - Xing Wei, Chenyang Yang, Shengqian Han:
Duration-Squeezing-Aware Communication and Computing for Proactive VR. - Yiru Zhao, Ruiheng Shi, Lei Zhao, Yueqiang Cheng:
AlphaFuzz: Evolutionary Mutation-based Fuzzing as Monte Carlo Tree Search. - Tong Zhang, Yinfei Xu, Shuai Wang, Miaowen Wen, Rui Wang:
On Secure Degrees of Freedom of the MIMO Interference Channel with Local Output Feedback. - Michal Lukasz Mika, René Rinke Hiemstra, Thomas Joseph Robert Hughes, Dominik Schillinger:
A comparison of matrix-free isogeometric Galerkin and collocation methods for Karhunen-Loève expansion. - Xin Wang, Su Gao, Monan Wang, Zhenghua Duan:
An Marching Cube Algorithm Based on Edge Growth. - Md. Naimul Hoque, Klaus Mueller:
Outcome-Explorer: A Causality Guided Interactive Visual Interface for Interpretable Algorithmic Decision Making. - Cui Su, Jun Pang:
Target Control of Asynchronous Boolean Networks. - Tong Xia, Yunhan Qi, Jie Feng, Fengli Xu, Funing Sun, Diansheng Guo, Yong Li:
AttnMove: History Enhanced Trajectory Recovery via Attentional Network. - Atreyee Kundu:
A scheduling algorithm for networked control systems. - Weifeng Zhu, Meixia Tao, Xiaojun Yuan, Yunfeng Guan:
Deep-Learned Approximate Message Passing for Asynchronous Massive Connectivity. - Hardik Uppal, Alireza Sepas-Moghaddam, Michael A. Greenspan, S. Ali Etemad:
Depth as Attention for Face Representation Learning. - Maria Teresa Malheiro, Gaspar José Machado, Stéphane Clain:
An a posteriori strategy for adaptive schemes in time and space. - Cornelius Fritz, Emilio Dorigatti, David Rügamer:
Combining Graph Neural Networks and Spatio-temporal Disease Models to Predict COVID-19 Cases in Germany. - Yuqing Ni, Junfeng Wu, Li Li, Ling Shi:
Multi-Party Dynamic State Estimation that Preserves Data and Model Privacy. - Idoia Ruiz, Lorenzo Porzi, Samuel Rota Bulò, Peter Kontschieder, Joan Serrat:
Weakly Supervised Multi-Object Tracking and Segmentation. - Ahmad Reza Cheraghi, Sahdia Shahzad, Kalman Graffi:
Past, Present, and Future of Swarm Robotics. - Ozan Kaan Kayaalp:
Learning optimal Bayesian prior probabilities from data. - Dennis Ulmer:
Recoding latent sentence representations - Dynamic gradient-based activation modification in RNNs. - Mohamad Alissa, Issa Haddad, Jonathan Meyer, Jade Obeid, Kostis Vilaetis, Nicolas Wiecek, Sukrit Wongariyakavee:
Sentiment Analysis for Open Domain Conversational Agent. - Bilal Yousaf, Muhammad Usama, Waqas Sultani, Arif Mahmood, Junaid Qadir:
Fake Visual Content Detection Using Two-Stream Convolutional Neural Networks. - Haonan Tong, Tao Wang, Yujiao Zhu, Xuanlin Liu, Sihua Wang, Changchuan Yin:
Mobility-Aware Seamless Handover with MPTCP in Software-Defined HetNets. - Mebratu Wakeni, Ankush Aggarwal, Lukasz Kaczmarczyk, Andrew McBride, Ignatios Athanasiadis, Chris J. Pearce, Paul Steinmann:
A p-adaptive, implicit-explicit mixed finite element method for reaction-diffusion problems. - Jacek Cyranka, Jean-Philippe Lessard:
Validated forward integration scheme for parabolic PDEs via Chebyshev series. - Muhammad Mohsin Kabir, Abu Quwsar Ohi, Md. Saifur Rahman, Muhammad Firoz Mridha:
An Evolution of CNN Object Classifiers on Low-Resolution Images. - Carlos E. Arruda, Pedro F. Moraes, Nazim Agoulmine, Joberto S. B. Martins:
Enhanced Pub/Sub Communications for Massive IoT Traffic with SARSA Reinforcement Learning. - Rohit Agrawal, Kapil Ahuja:
CSIS: compressed sensing-based enhanced-embedding capacity image steganography scheme. - Guillem Francès, Blai Bonet, Hector Geffner:
Learning General Policies from Small Examples Without Supervision. - Rakesh Dhakshinamurthy:
Neural Networks for Keyword Spotting on IoT Devices. - Hauke Brinkop, Klaus Jansen, Tim Weißenfels:
An optimal FPT algorithm parametrized by treewidth for Weighted-Max-Bisection given a tree decomposition as advice assuming SETH and the hardness of MinConv. - Yohai Reani, Omer Bobrowski:
Cycle Registration in Persistent Homology with Applications in Topological Bootstrap. - Carlos Lordelo, Emmanouil Benetos, Simon Dixon, Sven Ahlbäck, Patrik Ohlsson:
Adversarial Unsupervised Domain Adaptation for Harmonic-Percussive Source Separation. - Samit Chakraborty, Marguerite Moore, Lisa Parrillo-Chapman:
Automatic Defect Detection of Print Fabric Using Convolutional Neural Network. - Bernhard Haeupler, Amirbehshad Shahrasbi:
Synchronization Strings and Codes for Insertions and Deletions - a Survey. - Senthil Rajasekaran, Moshe Y. Vardi:
Nash Equilibria in Finite-Horizon Multiagent Concurrent Games. - Ozgur Ceyhan:
Algorithmic Complexities in Backpropagation and Tropical Neural Networks. - Domenico Cantone, Simone Faro, Arianna Pavone:
Text Searching Allowing for Non-Overlapping Adjacent Unbalanced Translocations. - Gaspar José Machado, Stéphane Clain, Raphaël Loubère:
a posteriori stabilized sixth-order finite volume scheme with adaptive stencil construction - Basics for the 1D steady-state hyperbolic equations. - Dom Huh:
Synthetic Embedding-based Data Generation Methods for Student Performance. - Ruduan Plug:
Meta-Learning Conjugate Priors for Few-Shot Bayesian Optimization. - Harsh Dhillon, Anwar Haque:
Towards Network Traffic Monitoring Using Deep Transfer Learning. - Muhtadyuzzaman Syed, Arvind Akpuram Srinivasan:
Generalized Latency Performance Estimation for Once-For-All Neural Architecture Search. - Cheng Chi, Dmitry Berenson:
Occlusion-robust Deformable Object Tracking without Physics Simulation. - Xin Tan, Longyin Zhang, Guodong Zhou:
Are Eliminated Spans Useless for Coreference Resolution? Not at all. - Thejan Rajapakshe, Rajib Rana, Sara Khalifa, Björn W. Schuller, Jiajun Liu:
A novel policy for pre-trained Deep Reinforcement Learning for Speech Emotion Recognition. - Hazem Ibrahim, Hina Tabassum, Uyen Trang Nguyen:
Exact Coverage Analysis of Intelligent Reflecting Surfaces with Nakagami-{m} Channels. - Murilo M. Marinho, Kanako Harada, Kyoichi Deie, Tetsuya Ishimaru, Mamoru Mitsuishi:
SmartArm: Suturing Feasibility of a Surgical Robotic System on a Neonatal Chest Model. - Seyedrazieh Bayati, Faramarz Jabbarvaziri:
Learning to Optimize Under Constraints with Unsupervised Deep Neural Networks. - Yuke Wang, Boyuan Feng, Yufei Ding:
DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions. - Liwen Zhu, Peixi Peng, Zongqing Lu, Xiangqian Wang, Yonghong Tian:
Variationally and Intrinsically motivated reinforcement learning for decentralized traffic signal control. - Yuheng Ma, Zhi-Qin John Xu, Jiwei Zhang:
Frequency Principle in Deep Learning Beyond Gradient-descent-based Training. - Yuandong Wang, Hongzhi Yin, Tong Chen, Chunyang Liu, Ben Wang, Tianyu Wo, Jie Xu:
Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graph. - Rong Jin, Weili Wu:
Schemes of Propagation Models and Source Estimators for Rumor Source Detection in Online Social Networks: A Short Survey of a Decade of Research. - Quan Vuong:
Machine Learning for Robotic Manipulation. - Brittany Reid, Keila Barbosa, Marcelo d'Amorim, Markus Wagner, Christoph Treude:
NCQ: code reuse support for Node.js developers. - Yarong Luo, Jianlang Hu, Chi Guo:
Kalman Filter from the Mutual Information Perspective. - Ning Bian, Xianpei Han, Bo Chen, Le Sun:
Benchmarking Knowledge-Enhanced Commonsense Question Answering via Knowledge-to-Text Transformation. - Timothy Overbye, Srikanth Saripalli:
Path Optimization for Ground Vehicles in Off-Road Terrain. - Jeremy Gordon, Max T. Curran, John Chuang, Coye Cheshire:
Covert Embodied Choice: Decision-Making and the Limits of Privacy Under Biometric Surveillance. - Mohammadhossein Toutiaee, John A. Miller:
Gaussian Function On Response Surface Estimation. - Daron Acemoglu, Alireza Fallah, Andrea Giometto, Daniel P. Huttenlocher, Asuman E. Ozdaglar, Francesca Parise, Sarath Pattathil:
Optimal adaptive testing for epidemic control: combining molecular and serology tests. - Fengbin Zhu, Wenqiang Lei, Chao Wang, Jianming Zheng, Soujanya Poria, Tat-Seng Chua:
Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering. - Minghui Liwang, Ruitao Chen, Xianbin Wang:
Resource Trading in Edge Computing-enabled IoV: An Efficient Futures-based Approach. - Minghui Liwang, Zhibin Gao, Xianbin Wang:
Let' s Trade in The Future! A Futures-Enabled Fast Resource Trading Mechanism in Edge Computing-Assisted UAV Networks. - Yile Liang, Tieyun Qian:
Recommending Accurate and Diverse Items Using Bilateral Branch Network. - Zekun Wang, Pengwei Wang, Peter C. Louis, Lee E. Wheless, Yuankai Huo:
WearMask: Fast In-browser Face Mask Detection with Serverless Edge Computing for COVID-19. - Kevin Lin:
Do Abstractions Have Politics? Towards a More Critical Algorithm Analysis. - Su Wang, Mengyuan Lee, Seyyedali Hosseinalipour, Roberto Morabito, Mung Chiang, Christopher G. Brinton:
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation. - Amir K. Khandani:
Achieving Capacity Region of 2-users Weak GIC by Enlarging the Core in a Nested Set of Polymatroids (continuation of arXiv: 2012.07820 "Optimality of Gaussian in Enlarging HK Rate Region, and its Overlap with ..."). - Antony William Joseph, Jeevitha Shree Dv, Kamalpreet Singh Saluja, Abhishek Mukhopadhyay, Ramaswami Murugesh, Pradipta Biswas:
Eye Tracking to Understand Impact of Aging on Mobile Phone Applications. - Karthik E:
A Framework for Fast Scalable BNN Inference using Googlenet and Transfer Learning. - Somnath Arjun, Kamalpreet Singh Saluja, Pradipta Biswas:
Analysing ocular parameters for web browsing and graph visualization. - Deyu Bo, Xiao Wang, Chuan Shi, Huawei Shen:
Beyond Low-frequency Information in Graph Convolutional Networks. - Parimala M., R. M. Swarna Priya, Quoc-Viet Pham, Kapal Dev, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu, Thien Huynh-The:
Fusion of Federated Learning and Industrial Internet of Things: A Survey. - Ertan Kazikli, Serkan Saritas, Sinan Gezici, Serdar Yüksel:
Optimal Signaling with Mismatch in Priors of an Encoder and Decoder. - Yaliang Li, Daoyuan Chen, Bolin Ding, Kai Zeng, Jingren Zhou:
A Pluggable Learned Index Method via Sampling and Gap Insertion. - Chao Wang, Min Tao, Chen-Nee Chuah, James G. Nagy, Yifei Lou:
Minimizing L1 over L2 norms on the gradient. - Aman Abidi, Lu Chen, Rui Zhou, Chengfei Liu:
Searching Personalized k-wing in Large and Dynamic Bipartite Graphs. - Tatsuhito Hasegawa:
Smartphone Sensor-based Human Activity Recognition Robust to Different Sampling Rates. - Yanan Wang, Zhuqing Jiang, Chang Liu, Kai Li, Aidong Men, Haiying Wang:
Shed Various Lights on a Low-Light Image: Multi-Level Enhancement Guided by Arbitrary References. - Yue Mao, Yi Shen, Chao Yu, Longjun Cai:
A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysis. - Xinghua Sun, Fangming Zhao, Howard H. Yang, Wen Zhan, Xijun Wang, Tony Q. S. Quek:
Optimizing Age of Information in Random-Access Poisson Networks. - Xinliang Liu, Eric Tsz Shun Chung, Lei Zhang:
Iterated numerical homogenization for multi-scale elliptic equations with monotone nonlinearity. - Yang Liu, Keze Wang, Haoyuan Lan, Liang Lin:
Temporal Contrastive Graph for Self-supervised Video Representation Learning. - Le Fang, Tao Zeng, Chaochun Liu, Liefeng Bo, Wen Dong, Changyou Chen:
Outline to Story: Fine-grained Controllable Story Generation from Cascaded Events. - Le Fang, Tao Zeng, Chaochun Liu, Liefeng Bo, Wen Dong, Changyou Chen:
Transformer-based Conditional Variational Autoencoder for Controllable Story Generation. - Gang Peng, Jinhu Liao, Shangbin Guan:
A Pushing-Grasping Collaborative Method Based on Deep Q-Network Algorithm in Dual Perspectives. - Rupak Majumdar, Kaushik Mallik, Anne-Kathrin Schmuck, Sadegh Soudjani:
Symbolic Control for Stochastic Systems via Parity Games. - Alexandre Decan, Tom Mens:
Lost in Zero Space - An Empirical Comparison of 0.y.z Releases in Software Package Distributions. - Wouter Groeneveld, Laurens Luyten, Joost Vennekens, Kris Aerts:
Exploring the Role of Creativity in Software Engineering. - Cameron Browne, Dennis J. N. J. Soemers, Éric Piette:
Strategic Features for General Games. - Felipe Ribas Coutinho, Victor Pires, Claudio Miceli, Daniel Sadoc Menasché:
Crypto-Hotwire: Illegal Blockchain Mining at Zero Cost Using Public Infrastructures. - Qiumei Cheng, Chunming Wu, Haifeng Zhou, Dezhang Kong, Dong Zhang, Junchi Xing, Wei Ruan:
Machine Learning based Malicious Payload Identification in Software-Defined Networking. - Yong Huang, Xiang Li, Wei Wang, Tao Jiang, Qian Zhang:
Towards Cross-Modal Forgery Detection and Localization on Live Surveillance Videos. - Aditya Arora, Muhammad Haris, Syed Waqas Zamir, Munawar Hayat, Fahad Shahbaz Khan, Ling Shao, Ming-Hsuan Yang:
Low Light Image Enhancement via Global and Local Context Modeling. - Jefferson E. Simões, Eduardo Ferreira, Daniel S. Menasché, Carlos Alberto Vieira Campos:
Blockchain Privacy Through Merge Avoidance and Mixing Services: a Hardness and an Impossibility Result. - Sinem Aslan, Luc Steels:
Identifying centres of interest in paintings using alignment and edge detection: Case studies on works by Luc Tuymans. - Michele Coscia:
The Atlas for the Aspiring Network Scientist. - Olivier Koch, Amine Benhalloum, Guillaume Genthial, Denis Kuzin, Dmitry Parfenchik:
Scalable representation learning and retrieval for display advertising. - Karola Marky, Andreas Weiß, Thomas Kosch:
Supporting Musical Practice Sessions Through HMD-Based Augmented Reality. - Josephine Selvarani Ruth D, Saniya Zeba, Vibha M. R, Rokesh Laishram, Gauthama Anand:
Design and Development of Robots End Effector Test Rig. - Josephine Selvarani Ruth D, Vishwas Navada B:
Human machine interaction systems encounters convergence. - Renate Motschnig, Michael Silber, Valdemar Svábenský:
How Does a Student-Centered Course on Communication and Professional Skills Impact Students in the Long Run? - Arthur Brack, Daniel Uwe Müller, Anett Hoppe, Ralph Ewerth:
Coreference Resolution in Research Papers from Multiple Domains. - Sana Haimour, Mohammad Rasmi Al-Mousa, Rashiq R. Marie:
Using Chaotic Stream Cipher to Enhance Data Hiding in Digital Images. - Chathura Sarathchandra:
REACT: Distributed Mobile Microservice Execution Enabled by Efficient Inter-Process Communication. - Stefan Wildhagen, Julian Berberich, Michael Hertneck, Frank Allgöwer:
Data-driven estimation of the maximum sampling interval: analysis and controller design for discrete-time systems. - Johannes Haug, Stefan Zürn, Peter El-Jiz, Gjergji Kasneci:
On Baselines for Local Feature Attributions. - Francesco Ranzato, Caterina Urban, Marco Zanella:
Fair Training of Decision Tree Classifiers. - Shanghua Gao, Qi Han, Zhong-Yu Li, Pai Peng, Liang Wang, Ming-Ming Cheng:
Global2Local: Efficient Structure Search for Video Action Segmentation. - Li Liu, Mengge He, Guanghui Xu, Mingkui Tan, Qi Wu:
How to Train Your Agent to Read and Write. - Enric Florit, Benjamin Smith:
Automorphisms and isogeny graphs of abelian varieties, with applications to the superspecial Richelot isogeny graph. - Yaowen Qiu, Yin Li, Yanchang Lu:
Zombie Account Detection Based on Community Detection and Uneven Assignation PageRank. - Yujiang He, Bernhard Sick:
CLeaR: An Adaptive Continual Learning Framework for Regression Tasks. - Dipto Sarkar, Piyush Yadav:
Donut visualizations for network-level and regional-level overview of Spatial Social Networks. - Heiko Becker, Nathaniel Bos, Ivan Gavran, Eva Darulova, Rupak Majumdar:
Lassie: HOL4 Tactics by Example. - Xiaoyang Zheng, Xin Tan, Jie Zhou, Lizhuang Ma, Rynson W. H. Lau:
Weakly-Supervised Saliency Detection via Salient Object Subitizing. - Arun I., Murugesan Venkatapathi:
An O(n) algorithm for generating uniform random vectors in n-dimensional cones. - Kun Zhou, Xiaolei Wang, Yuanhang Zhou, Chenzhan Shang, Yuan Cheng, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen:
CRSLab: An Open-Source Toolkit for Building Conversational Recommender System. - Niloofar Akhavan Javan, Ali Jebreili, Babak Mozafari, Morteza Hosseinioun:
Classification and Segmentation of Pulmonary Lesions in CT images using a combined VGG-XGBoost method, and an integrated Fuzzy Clustering-Level Set technique. - Pieter Collins:
Computable Random Variables and Conditioning. - Song Fang, Quanyan Zhu:
Relativistic Rocket Control (Relativistic Space-Travel Flight Control): Feedback Control of Relativistic Dynamics Propelled by Ejecting Mass. - Daniel Schuster, Gero J. Kolhof:
Scalable Online Conformance Checking Using Incremental Prefix-Alignment Computation. - Subhajit Roy, Justin Hsu, Aws Albarghouthi:
Learning Differentially Private Mechanisms. - Sebastian K. Mitusch, Simon W. Funke, Miroslav Kuchta:
Hybrid FEM-NN models: Combining artificial neural networks with the finite element method. - Lucas Henrique Costa de Lima, Julio C. S. Reis, Philipe F. Melo, Fabricio Murai, Fabrício Benevenuto:
Characterizing (Un)moderated Textual Data in Social Systems. - Lynn Wahab, Ezzat Chebaro, Jad Ismail, Amir Nasrelddine, Ali El-Zein:
A Predictive Model for Geographic Distributions of Mangroves. - Seyed Saber Nabavi Larimi, Behzad Salami, Osman S. Unsal, Adrián Cristal Kestelman, Hamid Sarbazi-Azad, Onur Mutlu:
Understanding Power Consumption and Reliability of High-Bandwidth Memory with Voltage Underscaling. - Yilun Zhou, Adi Renduchintala, Xian Li, Sida Wang, Yashar Mehdad, Asish Ghoshal:
Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms. - Hancheng Min, Enrique Mallada:
Coherence and Concentration in Tightly-Connected Networks. - Michael Weiss, Paolo Tonella:
Uncertainty-Wizard: Fast and User-Friendly Neural Network Uncertainty Quantification. - Claudia Daniela Antal, Tudor Cioara, Marcel Antal, Ionut Anghel:
Blockchain platform for COVID-19 vaccine supply management. - Yanghao Zhang, Fu Wang, Wenjie Ruan:
Fooling Object Detectors: Adversarial Attacks by Half-Neighbor Masks. - Manel Mateos, Alejandro González, Xavier Sevillano:
Guiding GANs: How to control non-conditional pre-trained GANs for conditional image generation. - Paul Riggins, David McPherson:
Formal Game Grammar and Equivalence. - Haitao Lin, Zhangyang Gao, Lirong Wu, Stan Z. Li:
Conditional Local Filters with Explainers for Spatio-Temporal Forecasting. - Kwang Ho Kim, Jong Hyok Choe, Sihem Mesnager:
Complete solution over Fpn of the equation Xpk+1+X+a=0. - Stanislav Sysala, Eva Hrubesova, Zdenek Michalec:
Optimization and variational principles for the shear strength reduction method. - Anandharaju Durai Raju, Ke Wang:
Echelon: Two-Tier Malware Detection for Raw Executables to Reduce False Alarms. - Yajie Zhang, Zuoqiang Shi:
A Second-Order Nonlocal Approximation for Surface Poisson Model with Dirichlet Boundary. - Brigitte Jaumard, Yan Wang:
A Two Sub-problem Decomposition for the Optimal Design of Filterless Optical Networks. - Jean-Guillaume Dumas, Clément Pernet, Alexandre Sedoglavic:
Some fast algorithms multiplying a matrix by its adjoint. - Evelyn Buckwar, Adeline Samson, Massimiliano Tamborrino, Irene Tubikanec:
Splitting methods for SDEs with locally Lipschitz drift. An illustration on the FitzHugh-Nagumo model. - Tao Xiang, Hangcheng Liu, Shangwei Guo, Tianwei Zhang, Xiaofeng Liao:
Local Black-box Adversarial Attacks: A Query Efficient Approach. - Corentin Barloy, Lorenzo Clemente:
Bidimensional linear recursive sequences and universality of unambiguous register automata. - Andrew Hoopes, Malte Hoffmann, Bruce Fischl, John V. Guttag, Adrian V. Dalca:
HyperMorph: Amortized Hyperparameter Learning for Image Registration. - Jian Chen, Meng Ling, Rui Li, Petra Isenberg, Tobias Isenberg, Michael Sedlmair, Torsten Möller, Robert S. Laramee, Han-Wei Shen, Katharina Wünsche, Qiru Wang:
VIS30K: A Collection of Figures and Tables from IEEE Visualization Conference Publications. - Ken S. Voskuil, Suzan Verberne:
Improving reference mining in patents with BERT. - Gustavo Henrique de Rosa, Mateus Roder, João P. Papa:
Fast Ensemble Learning Using Adversarially-Generated Restricted Boltzmann Machines. - Estefanía Recayte, Andrea Munari:
Caching at the Edge: Outage Probability. - Sanjay Goyal, Hussain Elkotby, Ravikumar Pragada, Tanbir Haque:
Reducing the Paging Overhead in Highly Directional Systems. - Sagar Venkatesh Gubbi, Shishir Kolathaya, Bharadwaj Amrutur:
Imitation Learning for High Precision Peg-in-Hole Tasks. - Sagar Venkatesh Gubbi, Raviteja Upadrashta, Shishir Kolathaya, Bharadwaj Amrutur:
Multi-Instance Aware Localization for End-to-End Imitation Learning. - Sagar Venkatesh Gubbi, Bharadwaj Amrutur:
Scene Text Detection for Augmented Reality - Character Bigram Approach to reduce False Positive Rate. - Sagar Gubbi Venkatesh, Nihesh Rathod, Shishir Kolathaya, Bharadwaj Amrutur:
Stochastic Action Prediction for Imitation Learning. - Jizhe Zhou, Chi-Man Pun:
Personal Privacy Protection via Irrelevant Faces Tracking and Pixelation in Video Live Streaming. - Bin Han, Wei Jiang, Mohammad Asif Habibi, Hans D. Schotten:
An Abstracted Survey on 6G: Drivers, Requirements, Efforts, and Enablers. - Estefanía Recayte, Francisco Lázaro, Gianluigi Liva:
Caching in Heterogeneous Satellite Networks with Fountain Codes. - Md. Ashek-Al-Aziz, Sagar Mahmud, Md. Azizul Islam, Jubayer Al Mahmud, Khan Md. Hasib:
A Comparative Study of AHP and Fuzzy AHP Method for Inconsistent Data. - Ramna Maqsood, UI. Bajwa, Gulshan Saleem, Rana Hammad Raza, MW. Anwar:
Anomaly Recognition from surveillance videos using 3D Convolutional Neural Networks. - Jiaheng Xie, Yidong Chai, Xiao Liu:
Understanding Health Misinformation Transmission: An Interpretable Deep Learning Approach to Manage Infodemics. - Alejandro Cabrera Aldaya, Billy Bob Brumley:
HyperDegrade: From GHz to MHz Effective CPU Frequencies. - Hansi Yang, Quanming Yao, James T. Kwok:
Tensorizing Subgraph Search in the Supernet. - Angus B. Clark, Visakan Mathivannan, Nicolas Rojas:
A Continuum Manipulator for Open-Source Surgical Robotics Research and Shared Development. - Liang Ma, Ting He, Kin K. Leung, Don Towsley, Ananthram Swami:
Additive Link Metrics Identification: Proof of Selected Lemmas and Propositions. - Ilke Bakir, Murat Yildirim, Evrim Ursavas:
An Integrated Optimization Framework for Multi-Component Predictive Analytics in Wind Farm Operations & Maintenance. - Matthieu Jedor, Jonathan Louëdec, Vianney Perchet:
Be Greedy in Multi-Armed Bandits. - Xiao Xu, Marta D'Elia, John T. Foster:
A machine-learning framework for peridynamic material models with physical constraints. - Junyong You, Jari Korhonen:
Transformer for Image Quality Assessment. - Mohak Sukhwani, Vishakh Duggal, Said Zahrai:
Dynamic Knowledge Graphs as Semantic Memory Model for Industrial Robots. - Mehdi Toumi, Adnan Aijaz:
System Performance Insights into Design of RIS-assisted Smart Radio Environments for 6G. - Zhong Li, Zhen Fang, Feng Liu, Jie Lu, Bo Yuan, Guangquan Zhang:
How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches? - William Kuszmaul:
Binary Dynamic Time Warping in Linear Time. - Yunus Camgözlü, Yakup Kutlu:
Analysis of Filter Size Effect In Deep Learning. - Konstantinos P. Panousis, Sotirios Chatzis, Antonios Alexos, Sergios Theodoridis:
Local Competition and Stochasticity for Adversarial Robustness in Deep Learning. - Prabhat Kumar, Eduardo Fernández:
A numerical scheme for filter boundary conditions in topology optimization on regular and irregular meshes. - E. K. Malakhovskaya, Y. P. Ekhlakov, P. V. Senchenko, A. A. Sidorov:
Methodology for design of templates of text communication messages for software marketing. - Michel Breyer, Jen Jen Chung, Lionel Ott, Roland Siegwart, Juan I. Nieto:
Volumetric Grasping Network: Real-time 6 DOF Grasp Detection in Clutter. - Max Allan, A. Jonathan McLeod, Congcong Wang, Jean-Claude Rosenthal, Zhenglei Hu, Niklas Gard, Peter Eisert, Ke Xue Fu, Trevor Zeffiro, Wenyao Xia, Zhanshi Zhu, Huoling Luo, Fucang Jia, Xiran Zhang, Xiaohong Li, Lalith Sharan, Thomas Kurmann, Sebastian Schmid, Raphael Sznitman, Dimitris Psychogyios, Mahdi Azizian, Danail Stoyanov, Lena Maier-Hein, Stefanie Speidel:
Stereo Correspondence and Reconstruction of Endoscopic Data Challenge. - Paz Fink Shustin, Haim Avron:
Gauss-Legendre Features for Gaussian Process Regression. - Sarah Aguasvivas Manzano, Patricia Xu, Khoi Ly, Robert F. Shepherd, Nikolaus Correll:
High-bandwidth nonlinear control for soft actuators with recursive network models. - Zahra Roozbahani, Jalal Rezaeenour, Roshan Shahrooei, Hanif Emamgholizadeh:
Presenting a Dataset for Collaborator Recommending Systems in Academic Social Network: a Case Study on ReseachGate. - Michal Choras, Konstantinos P. Demestichas, Agata Gielczyk, Álvaro Herrero, Pawel Ksieniewicz, Konstantina Remoundou, Daniel Urda, Michal Wozniak:
Advanced Machine Learning Techniques for Fake News (Online Disinformation) Detection: A Systematic Mapping Study. - Arnold Filtser, Hung Le:
Clan Embeddings into Trees, and Low Treewidth Graphs. - Aravindh Krishnamoorthy, Robert Schober:
Successive Null-Space Precoder Design for Downlink MU-MIMO with Rate Splitting and Single-Stage SIC. - Jirí Síma, Stanislav Zák:
A polynomial time construction of a hitting set for read-once branching programs of width 3. - Spencer Frei, Yuan Cao, Quanquan Gu:
Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise. - Nikolay Malkin, Caleb Robinson, Nebojsa Jojic:
High-resolution land cover change from low-resolution labels: Simple baselines for the 2021 IEEE GRSS Data Fusion Contest. - Thangarajah Akilan, Edna Johnson, Japneet Sandhu, Ritika Chadha, Gaurav Taluja:
A Hybrid Learner for Simultaneous Localization and Mapping. - Alvin Cheung, Natacha Crooks, Joseph M. Hellerstein, Mae Milano:
New Directions in Cloud Programming. - Wuchen Li:
Transport information Bregman divergences. - Xiaohan Chen, Yang Zhao, Yue Wang, Pengfei Xu, Haoran You, Chaojian Li, Yonggan Fu, Yingyan Lin, Zhangyang Wang:
SmartDeal: Re-Modeling Deep Network Weights for Efficient Inference and Training. - Ilke Demir, Umur A. Ciftci:
Where Do Deep Fakes Look? Synthetic Face Detection via Gaze Tracking. - Rafal Maslyk, Kinga Skorupska, Piotr Gago, Marcin Niewinski, Barbara Karpowicz, Anna Jaskulska, Katarzyna Abramczuk, Wieslaw Kopec:
Deploying Crowdsourcing for Workflow Driven Business Process. - Salman H. Khan, Muzammal Naseer, Munawar Hayat, Syed Waqas Zamir, Fahad Shahbaz Khan, Mubarak Shah:
Transformers in Vision: A Survey. - Sung-Chan Choi:
Spatial Parrondo games with spatially dependent game A. - Partha Sarathi Paul, Maisha Sadia, Md Sakib Hasan:
Design of a Dynamic Parameter-Controlled Chaotic-PRNG in a 65nm CMOS process. - Kamalakkannan Kamalavasan, Gihan R. Mudalige, István Z. Reguly, Suhaib A. Fahmy:
High-Level FPGA Accelerator Design for Structured-Mesh-Based Explicit Numerical Solvers. - Lawrence Thul, Warren B. Powell:
Stochastic Optimization for Vaccine and Testing Kit Allocation for the COVID-19 Pandemic. - Chloe He, Raksha Jain, Jérôme Chambost, Céline Jacques, Cristina Hickman:
Semantic Video Segmentation for Intracytoplasmic Sperm Injection Procedures. - Andreas Kleefeld:
The hot spots conjecture can be false: Some numerical examples. - Zhong Yang, Yuanwei Liu, Yue Chen, Naofal Al-Dhahir:
Machine Learning for User Partitioning and Phase Shifters Design in RIS-Aided NOMA Networks. - Sofia Oliveira, Daniel Loureiro, Alípio Jorge:
Transformers and Transfer Learning for Improving Portuguese Semantic Role Labeling. - Tiago de C. G. Pereira, Teófilo E. de Campos:
Learn by Guessing: Multi-Step Pseudo-Label Refinement for Person Re-Identification. - Anna Abalkina:
Detecting a network of hijacked journals by its archive. - Nicholas Botzer, Yifan Ding, Tim Weninger:
Reddit Entity Linking Dataset. - Claudio Daniel Tenorio de Barros, Matheus R. F. Mendonça, Alex Borges Vieira, Artur Ziviani:
A Survey on Embedding Dynamic Graphs. - Pierson T. Guthrey, James A. Rossmanith, Andrew J. Christlieb:
Parallel Scaling of the Regionally-Implicit Discontinuous Galerkin Method with Quasi-Quadrature-Free Matrix Assembly. - Eric Hallman:
A Block Bidiagonalization Method for Fixed-Precision Low-Rank Matrix Approximation. - Mostafa Hussein, Brendan Crowe, Marek Petrik, Momotaz Begum:
Robust Maximum Entropy Behavior Cloning. - Antonio Anastasio Bruto da Costa, Pallab Dasgupta, Nikolaos Kekatos:
Quantitative Corner Case Feature Analysis of Hybrid Automata with ForFETSMT. - Keren Ye, Adriana Kovashka, Mark Sandler, Menglong Zhu, Andrew Howard, Marco Fornoni:
SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection. - Nadya Bliss, Lawrence A. Gordon, Daniel Lopresti, Fred B. Schneider, Suresh Venkatasubramanian:
A Research Ecosystem for Secure Computing. - Zhiyan Chen, Murat Simsek, Burak Kantarci:
Federated Learning-Based Risk-Aware Decision toMitigate Fake Task Impacts on CrowdsensingPlatforms. - Matt Campagna, Brian A. LaMacchia, David Ott:
Post Quantum Cryptography: Readiness Challenges and the Approaching Storm. - Annika Kreil, Andranik Tumasjan, Taha Yasseri, Isabell M. Welpe:
What drives passion? An empirical examination on the impact of personality trait interactions and job environments on work passion. - Wandong Zhang, Q. M. Jonathan Wu, Yimin Yang, W. G. Will Zhao, Hui Zhang:
Multi-Model Least Squares-Based Recomputation Framework for Large Data Analysis. - Matthew Zalesak, Samitha Samaranayake:
Real Time Operation of High-Capacity Electric Vehicle Ridesharing Fleets. - Elisa Bertino, Daniel W. Bliss, Daniel Lopresti, Larry Peterson, Henning Schulzrinne:
Computing Research Challenges in Next Generation Wireless Networking. - Yong Xu, Zhuohuang Zhang, Meng Yu, Shi-Xiong Zhang, Lianwu Chen, Dong Yu:
Generalized RNN beamformer for target speech separation. - Tagir Fabarisov, Ilshat Mamaev, Andrey Morozov, Klaus Janschek:
Model-based Fault Injection Experiments for the Safety Analysis of Exoskeleton System. - Thomas M. Conte, Ian T. Foster, William Gropp, Mark D. Hill:
Advancing Computing's Foundation of US Industry & Society. - Kinga Skorupska, Daniel Cnotkowski, Julia Paluch, Rafal Maslyk, Anna Jaskulska, Monika Kornacka, Wieslaw Kopec:
All Factors Should Matter! Reference Checklist for Describing Research Conditions in Pursuit of Comparable IVR Experiments. - Yongqiang Zhang, Mustafa A. Kishk, Mohamed-Slim Alouini:
A Survey on Integrated Access and Backhaul Networks. - Wojciech Ozga, Do Le Quoc, Christof Fetzer:
A practical approach for updating an integrity-enforced operating system. - Yanfang Liu, Yukun Guo, Jiguang Sun:
A deterministic-statistical approach to reconstruct moving sources using sparse partial data. - Maximilian Schleich, Zixuan Geng, Yihong Zhang, Dan Suciu:
GeCo: Quality Counterfactual Explanations in Real Time. - Daniel Cauchi, Adrian Muscat:
One vs Previous and Similar Classes Learning - A Comparative Study. - Andrew Bylard, Riccardo Bonalli, Marco Pavone:
Composable Geometric Motion Policies using Multi-Task Pullback Bundle Dynamical Systems. - Pattaraporn Sangaroonsilp, Hoa Khanh Dam, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Aditya Ghose:
A Taxonomy for Mining and Classifying Privacy Requirements in Issue Reports. - Arpita Gang, Waheed U. Bajwa:
A Linearly Convergent Algorithm for Distributed Principal Component Analysis. - Miao Zhang, Kanapathippillai Cumanan, Jeyarajan Thiyagalingam, Yanqun Tang, Wei Wang, Zhiguo Ding, Octavia A. Dobre:
Exploiting Deep Learning for Secure Transmission in an Underlay Cognitive Radio Network. - Fan Peng, Hao Chen, Chang-An Zhao:
Algebraic Geometric Secret Sharing Schemes over Large Fields Are Asymptotically Threshold. - Guangquan Xu, Yihua Liu, Jun Xing, Tao Luo, Yonghao Gu, Shaoying Liu, Xi Zheng, Athanasios V. Vasilakos:
SG-PBFT: a Secure and Highly Efficient Blockchain PBFT Consensus Algorithm for Internet of Vehicles. - Guankai Li, Chi Zhang, Guosheng Lin:
CycleSegNet: Object Co-segmentation with Cycle Refinement and Region Correspondence. - Fukang Tian, Haiyu Wu, Bo Xu:
Research on Fast Text Recognition Method for Financial Ticket Image. - Caleb Voss, Vivek Sarkar:
An Ownership Policy and Deadlock Detector for Promises. - Zhuang Liu, Yunpu Ma, Yuanxin Ouyang, Zhang Xiong:
Contrastive Learning for Recommender System. - Sehoon Kim, Amir Gholami, Zhewei Yao, Michael W. Mahoney, Kurt Keutzer:
I-BERT: Integer-only BERT Quantization. - Bin Li, Mu Hu, Shuling Wang, Lianghao Wang, Xiaojin Gong:
Self-supervised Visual-LiDAR Odometry with Flip Consistency. - Sabah Al-Fedaghi:
Advancing Behavior Engineering: Toward Integrated Events Modeling. - Davide Burba, Trista Chen:
A Trainable Reconciliation Method for Hierarchical Time-Series. - Yichen Yang, Mangpo Phitchaya Phothilimtha, Yisu Remy Wang, Max Willsey, Sudip Roy, Jacques Pienaar:
Equality Saturation for Tensor Graph Superoptimization. - Akshay Agarwal, Shashank Maiya, Sonu Aggarwal:
Evaluating Empathetic Chatbots in Customer Service Settings. - Hoang-Dung Do, Valérie Hayot-Sasson, Rafael Ferreira da Silva, Christopher Steele, Henri Casanova, Tristan Glatard:
Modeling the Linux page cache for accurate simulation of data-intensive applications. - Qiyu Hu, Yanzhen Liu, Yunlong Cai, Guanding Yu, Zhi Ding:
Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO with Lens Arrays. - Mohammed M. Alawad, Shang Gao, Mayanka Chandra Shekar, S. M. Shamimul Hasan, James Blair Christian, Xiao-Cheng Wu, Eric B. Durbin, Jennifer A. Doherty, Antoinette Stroup, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi:
Integration of Domain Knowledge using Medical Knowledge Graph Deep Learning for Cancer Phenotyping. - Zhaohui Yang, Mingzhe Chen, Kai-Kit Wong, H. Vincent Poor, Shuguang Cui:
Federated Learning for 6G: Applications, Challenges, and Opportunities. - Bo Hui, Yuchen Yang, Haolin Yuan, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao:
Practical Blind Membership Inference Attack via Differential Comparisons. - Fu-Shun Hsu, Chao-Jung Huang, Chen-Yi Kuo, Shang-Ran Huang, Yuan-Ren Cheng, Jia-Horng Wang, Yi-Lin Wu, Tzu-Ling Tzeng, Feipei Lai:
Development of a Respiratory Sound Labeling Software for Training a Deep Learning-Based Respiratory Sound Analysis Model. - Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xuemin Lin, Paul Groth:
Reinforcement Learning based Collective Entity Alignment with Adaptive Features. - Eva Agapaki, Ioannis K. Brilakis:
CLOI: An Automated Benchmark Framework For Generating Geometric Digital Twins Of Industrial Facilities. - Anugunj Naman, Liliana Mancini:
Fixed-MAML for Few Shot Classification in Multilingual Speech Emotion Recognition. - Akanksha Saxena, J. P. Jaiswal:
On the Local convergence of two-step Newton type Method in Banach Spaces under generalized Lipschitz Conditions. - Le Ma, Xiaoyue Wu, Zhiwei Li, Nan Gao, Jie Liu, Lingfang Sun:
High Precision Medicine Bottles Vision Online Inspection System and Classification Based on Multi-Features and Ensemble Learning via Independence Test. - Xiaoou Ding, Hongzhi Wang, Chen Wang, Zijue Li, Zheng Liang:
Exploring Data and Knowledge combined Anomaly Explanation of Multivariate Industrial Data. - Quazi Marufur Rahman, Peter Corke, Feras Dayoub:
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends. - Haiwen Diao, Ying Zhang, Lin Ma, Huchuan Lu:
Similarity Reasoning and Filtration for Image-Text Matching. - Qianqian Wang, Quansheng Guan, Julian Cheng, Fei Ji:
A Splitting-Detection Joint-Decision Receiver for Ultrasonic Intra-Body Communications. - Moein Razavi, Hamed Alikhani, Vahid Janfaza, Benyamin Sadeghi, Ehsan Alikhani:
An Automatic System to Monitor the Physical Distance and Face Mask Wearing of Construction Workers in COVID-19 Pandemic. - Lei Wang, Yang Liu, Ian R. Manchester, Guodong Shi:
Differentially Private Distributed Computation via Public-Private Communication Networks. - Muhammad Usman, Huanhuan Chen:
Recent Trends in Food Intake Monitoring using Wearable Sensors. - Shuyue Guan, Murray H. Loew:
Understanding the Ability of Deep Neural Networks to Count Connected Components in Images. - Hidear Talirongan, Markdy Y. Orong, Florence Jean B. Talirongan:
Alleviating Vulnerabilities of the Possible Outbreaks of Measles: A Data Trend Analysis and Prediction of Possible Cases. - Ruibo Liu, Lili Wang, Chenyan Jia, Soroush Vosoughi:
Political Depolarization of News Articles Using Attribute-aware Word Embeddings. - Florence Jean B. Talirongan, Hidear Talirongan, Markdy Y. Orong:
Modeling National Trends on Health in the Philippines Using ARIMA. - Huanzhang Dou, Wenhu Zhang, Pengyi Zhang, Yuhan Zhao, Songyuan Li, Zequn Qin, Fei Wu, Lin Dong, Xi Li:
VersatileGait: A Large-Scale Synthetic Gait Dataset with Fine-GrainedAttributes and Complicated Scenarios. - Mohammad Rasmi Al-Mousa:
Analyzing Cyber-Attack Intention for Digital Forensics Using Case-Based Reasoning. - Pascal Heid, Endre Süli:
On the convergence rate of the Kačanov scheme for shear-thinning fluids. - Khaled E. Al-Qawasmi, Mohammad Rasmi Al-Mousa, Mohammad Yousef:
Proposed E-payment Process Model to Enhance Quality of Service through Maintaining the Trust of Availability. - Qijun Luo, Zhili Liu, Lanqing Hong, Chongxuan Li, Kuo Yang, Liyuan Wang, Fengwei Zhou, Guilin Li, Zhenguo Li, Jun Zhu:
Relaxed Conditional Image Transfer for Semi-supervised Domain Adaptation. - Ahmad Nabot, Firas Omar, Mohammed Almousa:
Perceptions of Smartphone Users Acceptance and Adoption of Mobile Commerce (MC) The Case of Jordan. - Changsheng Chen, Shuzheng Zhang, Fengbo Lan:
A Database for Digital Image Forensics of Recaptured Document. - Prabhu Chandhar, Sathish Babu, Tamizh Elakkiya:
Tutorial I: Learning the Principles of Mobile Radio Propagation through Smartphone and CRFO. - Diego Olaya, Wouter Verbeke, Jente Van Belle, Marie-Anne Guerry:
To do or not to do: cost-sensitive causal decision-making. - Arnaud Casteigts, Yves Métivier, John Michael Robson:
Revisiting the Role of Coverings in Anonymous Networks: Spanning Tree Construction and Topology Recognition. - Ihsen Alouani, Anouar Ben Khalifa, Farhad Merchant, Rainer Leupers:
An Investigation on Inherent Robustness of Posit Data Representation. - Lili Zhu, Petros Spachos:
Support Vector Machine and YOLO for a Mobile Food Grading System. - Valdemar Svábenský, Pavel Celeda, Jan Vykopal, Silvia Brisáková:
Cybersecurity Knowledge and Skills Taught in Capture the Flag Challenges. - Moritz Weber, Marian Turowski, Hüseyin Kemâl Çakmak, Ralf Mikut, Uwe G. Kühnapfel, Veit Hagenmeyer:
Data-Driven Copy-Paste Imputation for Energy Time Series. - Giorgio Valentini, Elena Casiraghi, Luca Cappelletti, Vida Ravanmehr, Tommaso Fontana, Justin T. Reese, Peter N. Robinson:
Het-node2vec: second order random walk sampling for heterogeneous multigraphs embedding. - Jevgenija Pantiuchina, Fiorella Zampetti, Simone Scalabrino, Valentina Piantadosi, Rocco Oliveto, Gabriele Bavota, Massimiliano Di Penta:
Why Developers Refactor Source Code: A Mining-based Study. - Jiamou Sun, Zhenchang Xing, Hao Guo, Deheng Ye, Xiaohong Li, Xiwei Xu, Liming Zhu:
Generating Informative CVE Description From ExploitDB Posts by Extractive Summarization. - Hongxu Chen, Yicong Li, Xiangguo Sun, Guandong Xu, Hongzhi Yin:
Temporal Meta-path Guided Explainable Recommendation. - Yue Yu, Huaiqian You, Nathaniel Trask:
An asymptotically compatible treatment of traction loading in linearly elastic peridynamic fracture. - Nimrod Talmon, Rutvik Page:
Proportionality in Committee Selection with Negative Feelings. - Hyeongmin Cho, Sangkyun Lee:
Data Quality Measures and Efficient Evaluation Algorithms for Large-Scale High-Dimensional Data. - Henry Krumb, Dhritimaan Das, Romol Chadda, Anirban Mukhopadhyay:
CycleGAN for Interpretable Online EMT Compensation. - Christof A. Bertram, Taryn A. Donovan, Marco Tecilla, Florian Bartenschlager, Marco Fragoso, Frauke Wilm, Christian Marzahl, Katharina Breininger, Andreas Maier, Robert Klopfleisch, Marc Aubreville:
Dataset on Bi- and Multi-Nucleated Tumor Cells in Canine Cutaneous Mast Cell Tumors. - Hung-Ting Su, Chen-Hsi Chang, Po-Wei Shen, Yu-Siang Wang, Ya-Liang Chang, Yu-Cheng Chang, Pu-Jen Cheng, Winston H. Hsu:
End-to-End Video Question-Answer Generation with Generator-Pretester Network. - Sen Zhang, Weiwei Ni, Nan Fu:
Community Preserved Social Graph Publishing with Node Differential Privacy. - Bojia Zi, Minghao Chang, Jingjing Chen, Xingjun Ma, Yu-Gang Jiang:
WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection. - Jinlai Zhang, Lyujie Chen, Bo Ouyang, Binbin Liu, Jihong Zhu, Yujing Chen, Yanmei Meng, Danfeng Wu:
PointCutMix: Regularization Strategy for Point Cloud Classification. - Kenya Tajima, Takahiko Henmi, Kohei Tsuchida, Esmeraldo Ronnie Rey Zara, Tsuyoshi Kato:
Learning Sign-Constrained Support Vector Machines. - Linh The Nguyen, Dat Quoc Nguyen:
PhoNLP: A joint multi-task learning model for Vietnamese part-of-speech tagging, named entity recognition and dependency parsing. - Qiaosi Yi, Yunxing Liu, Aiwen Jiang, Juncheng Li, Kangfu Mei, Mingwen Wang:
Scale-Aware Network with Regional and Semantic Attentions for Crowd Counting under Cluttered Background. - Yann Lifchitz, Yannis Avrithis, Sylvaine Picard:
Local Propagation for Few-Shot Learning. - Tantan Zhao, Lijun He, Xinyu Huang, Fan Li:
QoE-driven Secure Video Transmission in Cloud-edge Collaborative Networks. - Terese Besker, Antonio Martini, Jan Bosch:
The use of incentives to promote Technical Debt management. - Hugo Ruiz, Mehdi Yedroudj, Marc Chaumont, Frédéric Comby, Gérard Subsol:
LSSD: a Controlled Large JPEG Image Database for Deep-Learning-based Steganalysis "into the Wild". - Maoyuan Xu, Xiaoping Xie:
An efficient feature-preserving PDE algorithm for image denoising based on a spatial-fractional anisotropic diffusion equation. - Ichiro Hasuo, Yuichiro Oyabu, Clovis Eberhart, Kohei Suenaga, Kenta Cho, Shin-ya Katsumata:
Control-Data Separation and Logical Condition Propagation for Efficient Inference on Probabilistic Programs. - Hai Lan, Zhifeng Bao, Yuwei Peng:
A Survey on Advancing the DBMS Query Optimizer: Cardinality Estimation, Cost Model, and Plan Enumeration. - Vineeth Venugopal, Sourav Sahoo, Mohd Zaki, Manish Agarwal, Nitya Nand Gosvami, N. M. Anoop Krishnan:
Looking Through Glass: Knowledge Discovery from Materials Science Literature using Natural Language Processing. - David Steurer, Stefan Tiegel:
SoS Degree Reduction with Applications to Clustering and Robust Moment Estimation. - Peiyun Wu, Yunjie Wu, Linjuan Wu, Xiaowang Zhang, Zhiyong Feng:
Modeling Global Semantics for Question Answering over Knowledge Bases. - Jingkun Chen, Wenqi Li, Hongwei Li, Jianguo Zhang:
Deep Class-Specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation. - Timofei Istomin, Elia Leoni, Davide Molteni, Amy L. Murphy, Gian Pietro Picco, Maurizio Griva:
Janus: Efficient and Accurate Dual-radio Social Contact Detection. - Daniel Etiemble:
Best CNTFET Ternary Adders? - Dali Ismail, Abusayeed Saifullah:
Handling Mobility in Low-Power Wide-Area Network. - Dakuo Wang, Liuping Wang, Zhan Zhang, Ding Wang, Haiyi Zhu, Yvonne Gao, Xiangmin Fan, Feng Tian:
"Brilliant AI Doctor" in Rural China: Tensions and Challenges in AI-Powered CDSS Deployment. - Christoph Matthies, Franziska Dobrigkeit:
Experience vs Data: A Case for More Data-informed Retrospective Activities. - John K. Tsotsos, Omar Abid, Iuliia Kotseruba, Markus D. Solbach:
On the Control of Attentional Processes in Vision. - Arsenia Chorti, André Noll Barreto, Stefan Köpsell, Marco Zoli, Marwa Chafii, Philippe Sehier, Gerhard P. Fettweis, H. Vincent Poor:
Context-Aware Security for 6G Wireless The Role of Physical Layer Security. - Rachel Sterneck, Abhishek Moitra, Priyadarshini Panda:
Noise Sensitivity-Based Energy Efficient and Robust Adversary Detection in Neural Networks. - Mirko Trisolini, Hugh G. Lewis, Camilla Colombo:
Constrained optimisation of preliminary spacecraft configurations under the design-for-demise paradigm. - César Quilodrán Casas, Rossella Arcucci, Christopher C. Pain, Yike Guo:
Adversarially trained LSTMs on reduced order models of urban air pollution simulations. - Eduardo Sany Laber, Lucas Murtinho:
On the price of explainability for some clustering problems. - Liuping Wang, Dakuo Wang, Feng Tian, Zhenhui Peng, Xiangmin Fan, Zhan Zhang, Shuai Ma, Mo Yu, Xiaojuan Ma, Hongan Wang:
CASS: Towards Building a Social-Support Chatbot for Online Health Community. - Bomin Mao, Fengxiao Tang, Yuichi Kawamoto, Nei Kato:
AI based Service Management for 6G Green Communications. - Dídac Surís, Ruoshi Liu, Carl Vondrick:
Learning the Predictability of the Future. - Bin Xu, Yuhua Xu, Xiaoli Yang, Wei Jia, Yulan Guo:
Bilateral Grid Learning for Stereo Matching Network. - Wentao Yuan, Zhaoyang Lv, Tanner Schmidt, Steven Lovegrove:
STaR: Self-supervised Tracking and Reconstruction of Rigid Objects in Motion with Neural Rendering. - Mengmi Zhang, Will Xiao, Olivia Rose, Katarina Bendtz, Margaret S. Livingstone, Carlos R. Ponce, Gabriel Kreiman:
Look Twice: A Computational Model of Return Fixations across Tasks and Species. - John Zweck, Yanping Chen, Matthew J. Goeckner, Yannan Shen:
Spectral computation of low probability tails for the homogeneous Boltzmann equation. - Robin Winter, Frank Noé, Djork-Arné Clevert:
Auto-Encoding Molecular Conformations. - Yuxin Hou, Arno Solin, Juho Kannala:
Novel View Synthesis via Depth-guided Skip Connections. - Devleena Das, Siddhartha Banerjee, Sonia Chernova:
Explainable AI for Robot Failures: Generating Explanations that Improve User Assistance in Fault Recovery. - David Noever, Josh Kalin, Matthew Ciolino, Dom Hambrick, Gerry V. Dozier:
Local Translation Services for Neglected Languages. - Pierre Perrault, Jennifer Healey, Zheng Wen, Michal Valko:
On the Approximation Relationship between Optimizing Ratio of Submodular (RS) and Difference of Submodular (DS) Functions. - Sonam Lama, John Zweck, Matthew Goeckner:
A higher order moment preserving reduction scheme for the Stochastic Weighted Particle Method. - Lorenzo De Mattei, Michele Cafagna, Huiyuan Lai, Felice Dell'Orletta, Malvina Nissim, Albert Gatt:
On the interaction of automatic evaluation and task framing in headline style transfer. - Chao Zhang, Joaquin Vanschoren, Arlette van Wissen, Daniël Lakens, Boris E. R. de Ruyter, Wijnand A. IJsselsteijn:
Theory-based Habit Modeling for Enhancing Behavior Prediction. - Hashim A. Hashim, Abdelrahman E. E. Eltoukhy:
Nonlinear Filter for Simultaneous Localization and Mapping on a Matrix Lie Group using IMU and Feature Measurements. - Grzegorz Pochwatko, Barbara Karpowicz, Anna Chrzanowska, Wieslaw Kopec:
Interpersonal distance in VR: reactions of older adults to the presence of a virtual agent. - Guanpeng Xu, Steven G. Johnson:
Modified discrete Laguerre polynomials for efficient computation of exponentially bounded Matsubara sums. - Stefan Stevsic, Otmar Hilliges:
Spatial Attention Improves Iterative 6D Object Pose Estimation. - Reem Abdel-Salam, Rana Mostafa, Mayada Hadhood:
Human Activity Recognition using Wearable Sensors: Review, Challenges, Evaluation Benchmark. - Di Jin, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Philip S. Yu, Weixiong Zhang:
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning. - Daniel Lopresti, Shashi Shekhar:
A National Research Agenda for Intelligent Infrastructure: 2021 Update. - Avijit Ghosh, Lea Genuit, Mary Reagan:
Characterizing Intersectional Group Fairness with Worst-Case Comparisons. - Marlo Souza, Álvaro F. Moreira, Renata Vieira:
Dynamic Preference Logic meets Iterated Belief Change: Representation Results and Postulates Characterization. - Rares Ambrus, Vitor Guizilini, Naveen Kuppuswamy, Andrew Beaulieu, Adrien Gaidon, Alex Alspach:
Monocular Depth Estimation for Soft Visuotactile Sensors. - Hiroyasu Inoue, Yohsuke Murase, Yasuyuki Todo:
Lockdowns need geographic coordination because of propagation of economic effects through supply chains. - Binyuan Hui, Ruiying Geng, Qiyu Ren, Binhua Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Pengfei Zhu, Xiaodan Zhu:
Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing. - Shu-Feng Tsao, Helen H. Chen, Therese Tisseverasinghe, Yang Yang, Lianghua Li, Zahid A. Butt:
What social media told about us in the time of COVID-19: a scoping review. - Hongda Shen, Eren Kursun:
Label Augmentation via Time-based Knowledge Distillation for Financial Anomaly Detection. - Manuel Morales, Rachel Barbar, Darshan Gandhi, Sanskruti Landage, Joseph Bae, Arpita Vats, Jil Kothari, Sheshank Shankar, Rohan Sukumaran, Himi Mathur, Krutika Misra, Aishwarya Saxena, Parth Patwa, Sethuraman T. V., Maurizio Arseni, Shailesh Advani, Kasia Jakimowicz, Sunaina Anand, Priyanshi Katiyar, Ashley Mehra, Rohan Iyer, Srinidhi Murali, Aryan Mahindra, Mikhail Dmitrienko, Saurish Srivastava, Ananya Gangavarapu, Steve Penrod, Vivek Sharma, Abhishek Singh, Ramesh Raskar:
COVID-19 Tests Gone Rogue: Privacy, Efficacy, Mismanagement and Misunderstandings. - Devendra Swami, Yash Phogat, Aadiraj Batlaw, Ashwin Goyal:
Analyzing movies to predict their commercial viability for producers. - Jianfeng Lu, Yulong Lu, Min Wang:
A Priori Generalization Analysis of the Deep Ritz Method for Solving High Dimensional Elliptic Equations. - Prune Truong, Martin Danelljan, Luc Van Gool, Radu Timofte:
Learning Accurate Dense Correspondences and When to Trust Them. - Naoto Inoue, Toshihiko Yamasaki:
Learning from Synthetic Shadows for Shadow Detection and Removal. - Matthieu Paul, Martin Danelljan, Luc Van Gool, Radu Timofte:
Local Memory Attention for Fast Video Semantic Segmentation. - Solomiia Fedushko, Yuriy Syerov, Oleksandr Skybinskyi, Nataliya Shakhovska, Zoryana Kunch:
Efficiency of Using Utility for Usernames Verification in Online Community Management. - Jim Apple:
Split block Bloom filters. - Varun Gupta, Christopher Jung, Georgy Noarov, Mallesh M. Pai, Aaron Roth:
Online Multivalid Learning: Means, Moments, and Prediction Intervals. - Tom Hogervorst, Tong Dong Qiu, Giacomo Marchiori, Alf Birger Rustad, Markus Blatt, Razvan Nane:
Hardware Acceleration of HPC Computational Flow Dynamics using HBM-enabled FPGAs. - Febin P. Sunny, Ebadollah Taheri, Mahdi Nikdast, Sudeep Pasricha:
A Survey on Silicon Photonics for Deep Learning. - Hieu Pham, Quoc V. Le:
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks. - Zan Xu, Léopold Cambier, Juan J. Alonso, Eric Darve:
Towards a Scalable Hierarchical High-order CFD Solver. - Cemre Zor, Terry Windeatt:
A unifying approach on bias and variance analysis for classification. - Zhibo Meng, Hongwei Zhang:
Multi-Cell, Multi-Channel URLLC with Probabilistic Per-Packet Real-Time Guarantee. - Mani Razi, Robert M. Kirby, Akil Narayan:
Kernel optimization for Low-Rank Multi-Fidelity Algorithms. - Efstratios Geronikolakis, George Papagiannakis:
An XR rapid prototyping framework for interoperability across the reality spectrum. - Andreas Brandstädt, Raffaele Mosca:
Finding Efficient Domination for P8-Free Bipartite Graphs in Polynomial Time. - Kaushik Balakrishnan, Punarjay Chakravarty, Shubham Shrivastava:
An A* Curriculum Approach to Reinforcement Learning for RGBD Indoor Robot Navigation. - Yu Chen, Ananya Subburathinam, Ching-Hua Chen, Mohammed J. Zaki:
Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph. - Ben S. Southworth, Oliver A. Krzysik, Will Pazner:
Fast parallel solution of fully implicit Runge-Kutta and discontinuous Galerkin in time for numerical PDEs, Part II: nonlinearities and DAEs. - Muhammad Abdul-Mageed, AbdelRahim A. Elmadany, El Moatez Billah Nagoudi:
ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic. - Nishanth Nakshatri, Arjun Manoj Menon, C. Lee Giles, Sarah Michele Rajtmajer, Christopher Griffin:
Design and Analysis of a Synthetic Prediction Market using Dynamic Convex Sets. - Pamela Bilo Thomas, Daniel Riehm, Maria Glenski, Tim Weninger:
Behavior Change in Response to Subreddit Bans and External Events. - Sehun Chun:
Geometry-aligned moving frames by removing spurious divergence in curvilinear mesh with geometric approximation error. - Nils Lange, Geralf Hütter, Björn Kiefer:
An efficient monolithic solution scheme for FE2 problems. - Malte Krack, Lars Panning-von Scheidt, Jörg Wallaschek:
A method for nonlinear modal analysis and synthesis: Application to harmonically forced and self-excited mechanical systems. - Malte Krack, Lars Panning-von Scheidt, Jörg Wallaschek:
A High-Order Harmonic Balance Method for Systems With Distinct States. - Michael Everett, Golnaz Habibi, Jonathan P. How:
Efficient Reachability Analysis of Closed-Loop Systems with Neural Network Controllers. - Jens Witkowski, Rupert Freeman, Jennifer Wortman Vaughan, David M. Pennock, Andreas Krause:
Incentive-Compatible Forecasting Competitions. - Yanwen Mao, Aritra Mitra, Shreyas Sundaram, Paulo Tabuada:
On the Computational Complexity of the Secure State-Reconstruction Problem. - Arash Asgharivaskasi, Nikolay Atanasov:
Active Bayesian Multi-class Mapping from Range and Semantic Segmentation Observation. - M. Ali Vosoughi, Axel Wismüller:
Large-Scale Extended Granger Causality for Classification of Marijuana Users From Functional MRI. - Blanca Vázquez, Gibran Fuentes, Fabian Garcia, Gabriela Borrayo, Juan Prohias:
Risk markers by sex and age group for in-hospital mortality in patients with STEMI or NSTEMI: an approach based on machine learning. - Yingfu Xu, Guido C. H. E. de Croon:
CNN-based Visual Ego-Motion Estimation for Fast MAV Maneuvers. - Graham Campbell, Detlef Plump:
Confluence up to Garbage in Graph Transformation. - Zhenyi Liu, Joyce E. Farrell, Brian A. Wandell:
ISETAuto: Detecting vehicles with depth and radiance information. - Qiaojun Feng, Nikolay Atanasov:
Mesh Reconstruction from Aerial Images for Outdoor Terrain Mapping Using Joint 2D-3D Learning. - Tarun S. Cousik, Vijay K. Shah, Tugba Erpek, Yalin E. Sagduyu, Jeffrey H. Reed:
Deep Learning for Fast and Reliable Initial Access in AI-Driven 6G mmWave Networks. - Hao Yuan, Shuiwang Ji:
Node2Seq: Towards Trainable Convolutions in Graph Neural Networks. - Mohamed Esmail Karar, Faris Alotaibi, Abdullah Al-Rasheed, Omar Reyad:
A Pilot Study of Smart Agricultural Irrigation using Unmanned Aerial Vehicles and IoT-Based Cloud System. - Xikui Wang, Michael J. Carey, Vassilis J. Tsotras:
Bridging BAD Islands: Declarative Data Sharing at Scale. - Xuankai Chang, Naoyuki Kanda, Yashesh Gaur, Xiaofei Wang, Zhong Meng, Takuya Yoshioka:
Hypothesis Stitcher for End-to-End Speaker-attributed ASR on Long-form Multi-talker Recordings. - Awais Tanveer, Roopak Sinha, Stephen G. MacDonell, Paulo Leitão, Valeriy Vyatkin:
Designing Actively Secure, Highly Available Industrial Automation Applications. - Wenling Shang, Xiaofei Wang, Aravind Srinivas, Aravind Rajeswaran, Yang Gao, Pieter Abbeel, Michael Laskin:
Reinforcement Learning with Latent Flow. - Weidong Mei, Rui Zhang:
Aerial-Ground Interference Mitigation for Cellular-Connected UAV. - Aaquib Tabrez, Ryan Leonard, Bradley Hayes:
One-shot Policy Elicitation via Semantic Reward Manipulation. - Jie Zhang:
TGCN: Time Domain Graph Convolutional Network for Multiple Objects Tracking. - Chunheng Jiang, Jae-wook Ahn, Nirmit Desai:
Environment Transfer for Distributed Systems. - Neha R. Gupta, Vittorio Orlandi, Chia-Rui Chang, Tianyu Wang, Marco Morucci, Pritam Dey, Thomas J. Howell, Xian Sun, Angikar Ghosal, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky:
dame-flame: A Python Library Providing Fast Interpretable Matching for Causal Inference. - Hee-Seung Moon, Jiwon Seo:
Optimal Action-based or User Prediction-based Haptic Guidance: Can You Do Even Better? - Wenxue Cui, Shaohui Liu, Feng Jiang, Yongliang Liu, Debin Zhao:
Multi-Stage Residual Hiding for Image-into-Audio Steganography. - Mina Mohammadi Dashti, Majid Harouni:
Smile and Laugh Expressions Detection Based on Local Minimum Key Points. - Kuai Fang, Daniel Kifer, Kathryn Lawson, Dapeng Feng, Chaopeng Shen:
The data synergy effects of time-series deep learning models in hydrology. - Tryambak Gangopadhyay, Vikram Ramanan, Adedotun Akintayo, Paige K. Boor, Soumalya Sarkar, Satyanarayanan R. Chakravarthy, Soumik Sarkar:
3D Convolutional Selective Autoencoder For Instability Detection in Combustion Systems. - Sugam Garg, Harichandana, Sumit Kumar:
On-Device Document Classification using multimodal features. - Woojeong Jin, Maziar Sanjabi, Shaoliang Nie, Liang Tan, Xiang Ren, Hamed Firooz:
Modality-specific Distillation. - Takahisa Imagawa, Takuya Hiraoka, Yoshimasa Tsuruoka:
Off-Policy Meta-Reinforcement Learning Based on Feature Embedding Spaces. - Peter M. Attia, Kristen A. Severson, Jeremy D. Witmer:
Statistical learning for accurate and interpretable battery lifetime prediction. - Wanyu Ma, Jihong Zhu, David Navarro-Alarcon:
Shape Control of Elastic Objects Based on Implicit Sensorimotor Models and Data-Driven Geometric Features. - Jieyu Zhang, Xiangchen Song, Ying Zeng, Jiaze Chen, Jiaming Shen, Yuning Mao, Lei Li:
Taxonomy Completion via Triplet Matching Network. - Addanki Prathima, Devendra Singh Gurjar, Ha H. Nguyen, Ajay Bhardwaj:
Performance Analysis and Optimization of Bidirectional Overlay Cognitive Radio Networks with Hybrid-SWIPT. - Mingxi Wu, Xi Chen:
Connecting The Dots To Combat Collective Fraud. - Vidit Jain, Maitree Leekha, Rajiv Ratn Shah, Jainendra Shukla:
Exploring Semi-Supervised Learning for Predicting Listener Backchannels. - Christodoulos Pappas, Dimitris Chatzopoulos, Spyros Lalis, Manolis Vavalis:
IPLS : A Framework for Decentralized Federated Learning. - Chandan K. A. Reddy, Harishchandra Dubey, Kazuhito Koishida, Arun Asokan Nair, Vishak Gopal, Ross Cutler, Sebastian Braun, Hannes Gamper, Robert Aichner, Sriram Srinivasan:
Interspeech 2021 Deep Noise Suppression Challenge. - Manish Mandloi, Devendra Singh Gurjar:
Low-Complexity Interference Cancellation Algorithms for Detection in Media-based Modulated Uplink Massive-MIMO Systems. - Hailin Wang, Ke Qin, Rufai Yusuf Zakari, Guisong Liu, Guoming Lu:
Deep Neural Network Based Relation Extraction: An Overview. - Yifan Xu, Weijian Xu, David Cheung, Zhuowen Tu:
Line Segment Detection Using Transformers without Edges. - Xiaopeng Lu, Kyusong Lee, Tiancheng Zhao:
SF-QA: Simple and Fair Evaluation Library for Open-domain Question Answering. - Tai D. Nguyen, Long H. Pham, Jun Sun:
sGUARD: Towards Fixing Vulnerable Smart Contracts Automatically. - Oussama Dhifallah, Yue M. Lu:
Phase Transitions in Transfer Learning for High-Dimensional Perceptrons. - Christina Katsamaki, Fabrice Rouillier, Elias P. Tsigaridas:
PTOPO: Computing the Geometry and the Topology of Parametric Curves. - Tongtong Wu, Xuekai Li, Yuan-Fang Li, Reza Haffari, Guilin Qi, Yujin Zhu, Guoqiang Xu:
Curriculum-Meta Learning for Order-Robust Continual Relation Extraction. - Khouloud Gaaloul, Claudio Menghi, Shiva Nejati, Lionel C. Briand, Yago Isasi Parache:
Combining Genetic Programming and Model Checking to Generate Environment Assumptions. - Uwe Wolter:
Logics of First-Order Constraints - A Category Independent Approach. - Katrin Casel, Markus L. Schmid:
Fine-Grained Complexity of Regular Path Queries. - Iraklis Symeonidis, Dragos Rotaru, Mustafa A. Mustafa, Bart Mennink, Panos Papadimitratos:
HERMES: Scalable, Secure, and Privacy-Enhancing Vehicle Access System. - Filip Lemic, Sergi Abadal, Eduard Alarcón, Jeroen Famaey:
Toward Location-aware In-body Terahertz Nanonetworks with Energy Harvesting. - Alexis de Colnet:
A Lower Bound on DNNF Encodings of Pseudo-Boolean Constraints. - David F. Nettleton, Sergio Nettleton, Marc Canal i Farriol:
MEDICI: A simple to use synthetic social network data generator. - Daxin Nie, Weihua Deng:
Numerical analysis for stochastic time-space fractional diffusion equation driven by fractional Gaussion noise. - Francisco Martín, Matteo Morelli, Huáscar Espinoza, Francisco J. Rodríguez-Lera, Vicente Matellán:
Optimized Execution of PDDL Plans using Behavior Trees. - Denis Kuperberg:
Positive first-order logic on words. - Xiaobo Liu, Su Yang:
Weighted Ensemble-model and Network Analysis: A method to predict fluid intelligence via naturalistic functional connectivity. - Suwei Yang, Massimo Lupascu, Kuldeep S. Meel:
Predicting Forest Fire Using Remote Sensing Data And Machine Learning. - Pierre-Amaury Grumiaux, Srdan Kitic, Laurent Girin, Alexandre Guérin:
Multichannel CRNN for Speaker Counting: an Analysis of Performance. - Aditya Rathi, Rohith G., Madhu Vadali:
Dynamic Prioritization for Conflict-Free Path Planning of Multi-Robot Systems. - Fan Wang, Lei Luo, En Zhu, Siwei Wang, Jun Long:
Multi-object Tracking with a Hierarchical Single-branch Network. - Jinle Zhu, Qiang Li, Hongyang Chen, H. Vincent Poor:
Statistical CSI Based Hybrid mmWave MIMO-NOMA with Max-Min Fairness. - Zeyu Zhu, Huijing Zhao:
A Survey of Deep RL and IL for Autonomous Driving Policy Learning. - Francesco Malandrino, Carla-Fabiana Chiasserini:
Federated Learning at the Network Edge: When Not All Nodes are Created Equal. - Marc Heinrich, Haiko Müller:
Counting independent sets in strongly orderable graphs. - Jian Cheng Wong, Abhishek Gupta, Yew-Soon Ong:
Can Transfer Neuroevolution Tractably Solve Your Differential Equations? - Jialiang Zhang, Lixiang Lin, Jianke Zhu, Steven C. H. Hoi:
Weakly-Supervised Multi-Face 3D Reconstruction. - Joshua Lau, Angus Ritossa:
Algorithms and Hardness for Multidimensional Range Updates and Queries. - Abdallah Moubayed, MohammadNoor Injadat, Abdallah Shami, Hanan Lutfiyya:
Relationship between Student Engagement and Performance in e-Learning Environment Using Association Rules. - Mark Findlay, Josephine Seah:
An Ecosystem Approach to Ethical AI and Data Use: Experimental Reflections. - Muhammad Khairul Ezad Bin Sulaiman:
Teaching Creativity Using a Realistic Multi-User Operation: Packet Tracer. - Charles C. Earl:
Towards an Abolitionist AI: the role of Historically Black Colleges and Universities. - Raffaele Zenti:
Using Data Science to monitor the pandemic with a single number: the Synthetic COVID Index. - Mihir Parmar, Ashwin Karthik Ambalavanan, Hong Guan, Rishab Banerjee, Jitesh Pabla, Murthy V. Devarakonda:
COVID-19: Comparative Analysis of Methods for Identifying Articles Related to Therapeutics and Vaccines without Using Labeled Data. - Martin Reber:
Abusive Advertising: Scrutinizing socially relevant algorithms in a black box analysis to examine their impact on vulnerable patient groups in the health sector. - Abel Cabrera Martínez, Carlos García Gómez, Juan Alberto Rodríguez-Velázquez:
Perfect domination, Roman domination and perfect Roman domination in lexicographic product graphs. - Monica-Paula Marin, Iuliana Marin, Livia Vidu:
Learning about the reduction of food waste using Blockchain technology. - Ye Tian:
A Multilayer Correlated Topic Model. - Mohammad Meraj, Surendra Pal Singh, Prashant Johri, Mohammad Tabrez Quasim:
Detection and Prediction of Infectious Diseases Using IoT Sensors: A Review. - Sunder Ali Khowaja, Parus Khuwaja, Kapal Dev:
Internet of Everything enabled solution for COVID-19, its new variants and future pandemics: Framework, Challenges, and Research Directions. - Lu Cheng, Kush R. Varshney, Huan Liu:
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges. - Malik Abdul Aziz, Fahmi Nurrahim, Prastyo Eko Susanto, Yurio Windiatmoko:
Boarding House Renting Price Prediction Using Deep Neural Network Regression on Mobile Apps. - Qing Wei, Hailan Ma, Chunlin Chen, Daoyi Dong:
Deep Reinforcement Learning with Quantum-inspired Experience Replay. - Charlotte Stix:
A survey of the European Union's artificial intelligence ecosystem. - Junyi Li, Tianyi Tang, Gaole He, Jinhao Jiang, Xiaoxuan Hu, Puzhao Xie, Wayne Xin Zhao, Ji-Rong Wen:
TextBox: A Unified, Modularized, and Extensible Framework for Text Generation. - Mohammad Mahmudul Alam, Mohammad Tariqul Islam, S. M. Mahbubur Rahman:
A Unified Learning Approach for Hand Gesture Recognition and Fingertip Detection. - Yudhik Agrawal, Ramaguru Guru Ravi Shanker, Vinoo Alluri:
Transformer-based approach towards music emotion recognition from lyrics. - Zhaohan Daniel Guo, Mohammad Gheshlaghi Azar, Alaa Saade, Shantanu Thakoor, Bilal Piot, Bernardo Ávila Pires, Michal Valko, Thomas Mesnard, Tor Lattimore, Rémi Munos:
Geometric Entropic Exploration. - Hailong Hu, Jun Pang:
Model Extraction and Defenses on Generative Adversarial Networks.