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ORCIDCoRR, July 2021
- Jan Portisch, Michael Hladik, Heiko Paulheim:
Background Knowledge in Schema Matching: Strategy vs. Data. - Honggui Li, Dimitri Galayko, Maria Trocan, Mohamad Sawan:
Cascade Decoders-Based Autoencoders for Image Reconstruction. - Juan Shu, Bowei Xi, Charles A. Kamhoua:
Understanding Adversarial Examples Through Deep Neural Network's Response Surface and Uncertainty Regions. - Pradipta Sasmal, Avinash Paul, Manas Kamal Bhuyan, Yuji Iwahori:
Extraction of Key-frames of Endoscopic Videos by using Depth Information. - Alex Raymond, Matthew Malencia, Guilherme Paulino-Passos, Amanda Prorok:
Agree to Disagree: Subjective Fairness in Privacy-Restricted Decentralised Conflict Resolution. - Neus Català, Jaume Baixeries, Ramon Ferrer-i-Cancho, Lluís Padró, Antoni Hernández-Fernández:
Zipf's laws of meaning in Catalan. - Samuel Kuhn, Nathan George:
Performance of OpenBCI EEG Binary Intent Classification with Laryngeal Imagery. - Wanning Pan, Lichao Sun:
Global Knowledge Distillation in Federated Learning. - Nicolas Loizou, Hugo Berard, Gauthier Gidel, Ioannis Mitliagkas, Simon Lacoste-Julien:
Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity. - Roy Dong, Lillian J. Ratliff:
Which Echo Chamber? Regions of Attraction in Learning with Decision-Dependent Distributions. - Xianzhi Du, Barret Zoph, Wei-Chih Hung, Tsung-Yi Lin:
Simple Training Strategies and Model Scaling for Object Detection. - Mohammad Javad Shayegan, Kiarash Shamsi:
A Fair Method for Distributing Collective Assets in the Stellar Blockchain Financial Network. - Elizabeth Clark, Tal August, Sofia Serrano, Nikita Haduong, Suchin Gururangan, Noah A. Smith:
All That's 'Human' Is Not Gold: Evaluating Human Evaluation of Generated Text. - HeuiChan Lim, Stephen G. Kobourov:
Visualizing The Intermediate Representation of Just-in-Time Compilers. - Jialiang Tan, Yu Chen, Zhenming Liu, Bin Ren, Shuaiwen Leon Song, Xipeng Shen, Xu Liu:
Toward Efficient Interactions between Python and Native Libraries. - Connor Scully-Allison, Katherine E. Isaacs:
Design and Evaluation of Scalable Representations of Communication in Gantt Charts for Large-scale Execution Traces. - Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri:
Fair Visual Recognition in Limited Data Regime using Self-Supervision and Self-Distillation. - Zixiu Wang, Yiwen Guo, Hu Ding:
Robust Coreset for Continuous-and-Bounded Learning (with Outliers). - Christopher D. Cruz-Ancona, Leonid M. Fridman, Hussein Obeid, Salah Laghrouche:
A uniform reaching phase strategy in adaptive sliding mode control. - Yang Li, Shihao Ji:
Dep-L0: Improving L0-based Network Sparsification via Dependency Modeling. - David Schaller, Marc Hellmuth, Peter F. Stadler:
A Linear-Time Algorithm for the Common Refinement of Rooted Phylogenetic Trees on a Common Leaf Set. - Eman Abdullah AlOmar, Ben Christians, Mihal Busho, Ahmed Hamad AlKhalid, Ali Ouni, Christian D. Newman, Mohamed Wiem Mkaouer:
SATDBailiff- Mining and Tracking Self-Admitted Technical Debt. - Ian Bogle, Erik G. Boman, Karen D. Devine, Sivasankaran Rajamanickam, George M. Slota:
Parallel Graph Coloring Algorithms for Distributed GPU Environments. - William P. McCarthy, Robert D. Hawkins, Haoliang Wang, Cameron Holdaway, Judith E. Fan:
Learning to communicate about shared procedural abstractions. - Nikhil Muralidhar, Sathappan Muthiah, Patrick Butler, Manish Jain, Yu Yu, Katy Burne, Weipeng Li, David Jones, Prakash Arunachalam, Hays 'Skip' McCormick, Naren Ramakrishnan:
Using AntiPatterns to avoid MLOps Mistakes. - Benjamin J. Radford:
Regressing Location on Text for Probabilistic Geocoding. - Nuno Oliveira, Norberto Sousa, Isabel Praça:
A Search Engine for Scientific Publications: a Cybersecurity Case Study. - Ankit Singh:
CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation. - Clément Aubert, Thomas Rubiano, Neea Rusch, Thomas Seiller:
An extended and more practical mwp flow analysis. - Ari Frankel, Cosmin Safta, Coleman Alleman, Reese E. Jones:
Mesh-based graph convolutional neural network models of processes with complex initial states. - Gaurab Bhattacharya:
From DNNs to GANs: Review of efficient hardware architectures for deep learning. - Craig Innes, Yordan Hristov, Georgios Kamaras, Subramanian Ramamoorthy:
Automatic Synthesis of Experiment Designs from Probabilistic Environment Specifications. - Marco A. Gómez, Christopher D. Cruz-Ancona, Leonid M. Fridman:
Super Twisting based Lyapunov Redesign for Uncertain Linear Delay Systems. - Pascal Notin, José Miguel Hernández-Lobato, Yarin Gal:
Improving black-box optimization in VAE latent space using decoder uncertainty. - Clément Aubert, Thomas Rubiano, Neea Rusch, Thomas Seiller:
An implementation of flow calculus for complexity analysis (tool paper). - Prateek Mishra, Kumar Divya Mani, Prashant Johri, Dikhsa Arya:
FCMI: Feature Correlation based Missing Data Imputation. - Xinyun Chen, Dawn Song, Yuandong Tian:
Latent Execution for Neural Program Synthesis Beyond Domain-Specific Languages. - Ruixiao Sun, Rongze Gui, Himanshu Neema, Yuche Chen, Juliette Ugirumurera, Joseph Severino, Philip Pugliese, Aron Laszka, Abhishek Dubey:
Transit-Gym: A Simulation and Evaluation Engine for Analysis of Bus Transit Systems. - Masataro Asai, Hiroshi Kajino, Alex Fukunaga, Christian Muise:
Classical Planning in Deep Latent Space. - Gopalan Nadathur, Mary Southern:
A Logic for Reasoning About LF Specifications. - Luis Lopez, Alvaro Gonzalez-Castellanos, David Pozo, Mardavij Roozbehani, Munther A. Dahleh:
QuickFlex: a Fast Algorithm for Flexible Region Construction for the TSO-DSO Coordination. - Farzan Memarian, Abolfazl Hashemi, Scott Niekum, Ufuk Topcu:
Robust Generative Adversarial Imitation Learning via Local Lipschitzness. - Ali Ayub, Huiqing Hu, Guangwei Zhou, Carter Fendley, Crystal Ramsay, Kathy Lou Jackson, Alan R. Wagner:
If you Cheat, I Cheat: Cheating on a Collaborative Task with a Social Robot. - Ashwinkumar Ganesan, Francis Ferraro, Tim Oates:
Learning a Reversible Embedding Mapping using Bi-Directional Manifold Alignment. - Maphuthego Etu Maditsi, Thulani Phakathi, Francis Lugayizi, Michael Esiefarienrhe:
Global Systems Performance Analysis For Mobile Communications (GSM) using Cellular Network CODECS. - Yi-Hsuan Hsieh, Pei-Chi Huang, Aloysius K. Mok:
SQRP: Sensing Quality-aware Robot Programming System for Non-expert Programmers. - Alexander E. Beasley, Phil Ayres, Martin Tegelaar, Michail-Antisthenis I. Tsompanas, Andrew Adamatzky:
On electrical gates on fungal colony. - Arsha Nagrani, Shan Yang, Anurag Arnab, Aren Jansen, Cordelia Schmid, Chen Sun:
Attention Bottlenecks for Multimodal Fusion. - Beren Millidge:
Applications of the Free Energy Principle to Machine Learning and Neuroscience. - Takato Yasuno, Junichiro Fujii, Sakura Fukami:
One-class Steel Detector Using Patch GAN Discriminator for Visualising Anomalous Feature Map. - Martin Braquet, Efstathios Bakolas:
Greedy Decentralized Auction-based Task Allocation for Multi-Agent Systems. - Marcin Bienkowski, Martin Böhm, Martin Koutecký, Thomas Rothvoß, Jirí Sgall, Pavel Veselý:
Improved Analysis of Online Balanced Clustering. - Asad Ali Khan
, Omar Ali Beg, Sara Ahmed:
Intelligent Anomaly Mitigation in Cyber-Physical Inverter-based Systems. - Shuyang Cao, Lu Wang:
Controllable Open-ended Question Generation with A New Question Type Ontology. - Kartik Shenoy, Filip Ilievski, Daniel Garijo, Daniel Schwabe, Pedro A. Szekely:
A Study of the Quality of Wikidata. - Zhiming Li, Xiaofei Xie, Haoliang Li, Zhengzi Xu, Yi Li, Yang Liu:
Cross-Lingual Adaptation for Type Inference. - Nuh Aydin, R. Oliver VandenBerg:
A New Algorithm for Equivalence of Cyclic Codes and Its Applications. - Simon Julien, Amirhossein Sajadi, Bri-Mathias S. Hodge:
Hierarchical Control of Utility-Scale Solar PV Plants for Mitigation of Generation Variability and Ancillary Service Provision. - Qing Wang:
The Use of Bandit Algorithms in Intelligent Interactive Recommender Systems. - Seung-Seob Lee, Yanpeng Yu, Yupeng Tang, Anurag Khandelwal, Lin Zhong, Abhishek Bhattacharjee:
MIND: In-Network Memory Management for Disaggregated Data Centers. - Justin Luke, Mauro Salazar, Ram Rajagopal, Marco Pavone:
Joint Optimization of Autonomous Electric Vehicle Fleet Operations and Charging Station Siting. - Xiaolong Ma, Geng Yuan, Xuan Shen, Tianlong Chen, Xuxi Chen, Xiaohan Chen, Ning Liu, Minghai Qin, Sijia Liu, Zhangyang Wang, Yanzhi Wang:
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? - Keli Xie, Siyuan Lu, Meiqi Wang, Zhongfeng Wang:
Elbert: Fast Albert with Confidence-Window Based Early Exit. - Shweta Yadav, Deepak Gupta, Asma Ben Abacha, Dina Demner-Fushman:
Reinforcement Learning for Abstractive Question Summarization with Question-aware Semantic Rewards. - Chengdong Liang, Junqi Chen, Shanzheng Guan, Xiao-Lei Zhang:
Attention-based multi-channel speaker verification with ad-hoc microphone arrays. - Zhen Huang, Xu Shen, Jun Xing, Tongliang Liu, Xinmei Tian, Houqiang Li, Bing Deng, Jianqiang Huang, Xian-Sheng Hua:
Revisiting Knowledge Distillation: An Inheritance and Exploration Framework. - Fan-Qi Ma, Quan-Lin Li, Yi-Han Liu, Yan-Xia Chang:
Stochastic Performance Modeling for Practical Byzantine Fault Tolerance Consensus in Blockchain. - Yongqi Zhang, Zhanke Zhou, Quanming Yao:
AutoSF+: Towards Automatic Scoring Function Design for Knowledge Graph Embedding. - Soheil Saraji, Mike Borowczak:
A Blockchain-based Carbon Credit Ecosystem. - Zhiyuan Guo, Yuexin Li, Guo Chen, Xingyu Chen, Akshat Gupta:
Word-Free Spoken Language Understanding for Mandarin-Chinese. - Renato Luiz de Freitas Cunha, Lucas Villa Real, Renan Souza, Bruno Silva, Marco A. S. Netto:
Context-aware Execution Migration Tool for Data Science Jupyter Notebooks on Hybrid Clouds. - Xiangyu Xi, Wei Ye, Shikun Zhang, Quanxiu Wang, Huixing Jiang, Wei Wu:
Capturing Event Argument Interaction via A Bi-Directional Entity-Level Recurrent Decoder. - Wonju Lee, Seok-Yong Byun, Jooeun Kim, Minje Park, Kirill Chechil:
Unsupervised Model Drift Estimation with Batch Normalization Statistics for Dataset Shift Detection and Model Selection. - Mingrui Yu, Hanzhong Zhong, Fangxun Zhong, Xiang Li:
Adaptive Control for Robotic Manipulation of Deformable Linear Objects with Offline and Online Learning of Unknown Models. - Han-Jia Ye, Lu Ming, De-Chuan Zhan, Wei-Lun Chao:
Few-Shot Learning with a Strong Teacher. - Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah:
Social Coordination and Altruism in Autonomous Driving. - Wenjun Zeng, Yi Liu:
Markov Decision Process modeled with Bandits for Sequential Decision Making in Linear-flow. - Shuai Zheng, Zhenfeng Zhu, Zhizhe Liu, Zhenyu Guo, Yang Liu, Yao Zhao:
Multi-modal Graph Learning for Disease Prediction. - Satoshi Ohara, Tetsuya Ogata, Hiromitsu Awano:
Binary Neural Network in Robotic Manipulation: Flexible Object Manipulation for Humanoid Robot Using Partially Binarized Auto-Encoder on FPGA. - Jingbo Liu:
A Few Interactions Improve Distributed Nonparametric Estimation, Optimally. - Sayma Sultana, London Ariel Cavaletto, Amiangshu Bosu:
Identifying the Prevalence of Gender Biases among the Computing Organizations. - Parul Khurana, Geetha Ganesan, Gulshan Kumar, Kiran Sharma:
Proof of Reference(PoR): A unified informetrics based consensus mechanism. - Sreecharan Sankaranarayanan, Siddharth Reddy Kandimalla, Christopher Bogart, R. Charles Murray, Haokang An, Michael Hilton, Majd Sakr, Carolyn P. Rosé:
Comparing Example-Based Collaborative Reflection to Problem Solving Practice for Learning during Team-Based Software Engineering Projects. - Brian Liu, Miaolan Xie, Madeleine Udell:
ControlBurn: Feature Selection by Sparse Forests. - Jing Zhao, Jingya Wang, Madhav Sigdel, Bopeng Zhang, Phuong Hoang, Mengshu Liu, Mohammed Korayem:
Embedding-based Recommender System for Job to Candidate Matching on Scale. - Mi Tian, Qiong Nie, Hao Shen, Xiahua Xia:
Deep auxiliary learning for visual localization using colorization task. - Kei Uchizawa, Haruki Abe:
Circuit Complexity of Visual Search. - K. K. Krishnan Namboodiri, B. Sundar Rajan:
Multi-Access Coded Caching with Demand Privacy. - Chi Zhang, Wei Zeng, Ligang Liu:
UrbanVR: An immersive analytics system for context-aware urban design. - Marc Fischer, Maximilian Baader, Martin T. Vechev:
Scalable Certified Segmentation via Randomized Smoothing. - Yonghao Long, Zhaoshuo Li, Chi Hang Yee, Chi-Fai Ng, Russell H. Taylor, Mathias Unberath, Qi Dou:
E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-based Stereoscopic Depth Perception. - Binghui Li, Shiji Xin, Qizhe Zhang:
Boosting Certified 𝓁∞ Robustness with EMA Method and Ensemble Model. - Bochen Li, Yuxuan Wang, Zhiyao Duan:
Audiovisual Singing Voice Separation. - Tehrim Yoon, Sumin Shin, Sung Ju Hwang, Eunho Yang:
FedMix: Approximation of Mixup under Mean Augmented Federated Learning. - Nguyen Quang Hieu, Dinh Thai Hoang, Dusit Niyato, Dong In Kim:
Optimal Power Allocation for Rate Splitting Communications with Deep Reinforcement Learning. - Dexiang Hong, Congcong Li, Longyin Wen, Xinyao Wang, Libo Zhang:
Generic Event Boundary Detection Challenge at CVPR 2021 Technical Report: Cascaded Temporal Attention Network (CASTANET). - Shreya Shrestha Meel, B. Sundar Rajan:
Secretive Coded Caching with Shared Caches. - Jonathan Wenger, Geoff Pleiss, Philipp Hennig, John P. Cunningham, Jacob R. Gardner:
Reducing the Variance of Gaussian Process Hyperparameter Optimization with Preconditioning. - Stepan Dergachev, Konstantin S. Yakovlev:
Distributed Multi-agent Navigation Based on Reciprocal Collision Avoidance and Locally Confined Multi-agent Path Finding. - Alireza Mousavi Hosseini, Amir Mohammad Abouei, Mohammad Hossein Rohban:
The Interplay between Distribution Parameters and the Accuracy-Robustness Tradeoff in Classification. - Jing Liu, Xinxin Zhu, Fei Liu, Longteng Guo, Zijia Zhao, Mingzhen Sun, Weining Wang, Hanqing Lu, Shiyu Zhou, Jiajun Zhang, Jinqiao Wang:
OPT: Omni-Perception Pre-Trainer for Cross-Modal Understanding and Generation. - Quentin F. Stout:
Lp Isotonic Regression Algorithms Using an L0 Approach. - Shuaicheng Niu, Jiaxiang Wu, Guanghui Xu, Yifan Zhang, Yong Guo, Peilin Zhao, Peng Wang, Mingkui Tan:
AdaXpert: Adapting Neural Architecture for Growing Data. - Pierre Vuillemin, David Quero Martin, Charles Poussot-Vassal:
Performance evaluation of gust load alleviation systems for flexible aircraft via optimal control. - Heike Wehrheim:
On the (Non-)Applicability of a Small Model Theorem to Model Checking STMs. - David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson:
A Survey on Graph-Based Deep Learning for Computational Histopathology. - Kenji Koide, Masashi Yokozuka, Shuji Oishi, Atsuhiko Banno:
Adaptive Hyperparameter Tuning for Black-box LiDAR Odometry. - Dan Liu, Mengge Du, Xiaoxi Li, Yuchen Hu, Lirong Dai:
The USTC-NELSLIP Systems for Simultaneous Speech Translation Task at IWSLT 2021. - Anne Lauscher, Henning Wachsmuth, Iryna Gurevych, Goran Glavas:
Scientia Potentia Est - On the Role of Knowledge in Computational Argumentation. - Kai Liu, Yuyang Zhao, Gang Wang, Bei Peng:
SA-MATD3: Self-attention-based multi-agent continuous control method in cooperative environments. - Xin Liu, Henglin Shi, Haoyu Chen, Zitong Yu, Xiaobai Li, Guoying Zhao:
iMiGUE: An Identity-free Video Dataset for Micro-Gesture Understanding and Emotion Analysis. - Lucia Nasti, Roberta Gori, Paolo Milazzo, Federico Poloni:
Efficient Analysis of Chemical Reaction Networks Dynamics based on Input-Output Monotonicity. - Bidisha Sharma, S. R. Mahadeva Prasanna:
Sonority Measurement Using System, Source, and Suprasegmental Information. - Rui Yang, Meng Fang, Lei Han, Yali Du, Feng Luo, Xiu Li:
MHER: Model-based Hindsight Experience Replay. - Bence Mark Halpern, Julian Fritsch, Enno Hermann, Rob van Son, Odette Scharenborg, Mathew Magimai-Doss:
An Objective Evaluation Framework for Pathological Speech Synthesis. - Haibin Wu, Po-Chun Hsu, Ji Gao, Shanshan Zhang, Shen Huang, Jian Kang, Zhiyong Wu, Helen Meng, Hung-yi Lee:
Spotting adversarial samples for speaker verification by neural vocoders. - Joeri Sleegers, Daan van den Berg:
Backtracking (the) Algorithms on the Hamiltonian Cycle Problem. - Neeraj Varshney, Swaroop Mishra, Chitta Baral:
Interviewer-Candidate Role Play: Towards Developing Real-World NLP Systems. - Qiwei Zhong, Guanxiong Zeng, Danqing Zhu, Yang Zhang, Wangli Lin, Ben Chen, Jiayu Tang:
Leveraging Domain Agnostic and Specific Knowledge for Acronym Disambiguation. - Fredrik Präntare, Mattias Tiger, David Bergström, Herman Appelgren, Fredrik Heintz:
Towards Utilitarian Combinatorial Assignment with Deep Neural Networks and Heuristic Algorithms. - Ryokan Ri, Toshiaki Nakazawa, Yoshimasa Tsuruoka:
Zero-pronoun Data Augmentation for Japanese-to-English Translation. - Giuseppe Della Penna, Benedetto Intrigila, Giulio Manzonetto:
Addressing Machines as models of lambda-calculus. - Pouya Pezeshkpour, Sarthak Jain, Sameer Singh, Byron C. Wallace:
Combining Feature and Instance Attribution to Detect Artifacts. - Ales Jelinek, Adam Ligocki, Ludek Zalud:
Robotic Template Library. - Ming Zhang, Xuefei Zhe, Hong Yan:
Orthonormal Product Quantization Network for Scalable Face Image Retrieval. - Shurun Wang, Zhao Wang, Shiqi Wang, Yan Ye:
End-to-end Compression Towards Machine Vision: Network Architecture Design and Optimization. - Wenjing Huang, Zhigang Li, Mohammad Shahidehpour, J. H. Zheng:
Real-time Dispatchable Region of Active Distribution Networks Based on a Tight Convex Relaxation Model. - Marco Salucci, Lorenzo Poli, Paolo Rocca, Andrea Massa:
Learned Global Optimization for Inverse Scattering Problems - Matching Global Search with Computational Efficiency. - Xavier Gómez Guinovart, Itziar Gonzalez-Dios, Antoni Oliver, German Rigau:
Multilingual Central Repository: a Cross-lingual Framework for Developing Wordnets. - Ryokan Ri, Toshiaki Nakazawa, Yoshimasa Tsuruoka:
Modeling Target-side Inflection in Placeholder Translation. - Chiara Plizzari, Mirco Planamente, Emanuele Alberti, Barbara Caputo:
PoliTO-IIT Submission to the EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition. - Grace Zhang, Linghan Zhong, Youngwoon Lee, Joseph J. Lim:
Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding. - Amir Hossein Zarif, Paeiz Azmi, Nader Mokari, Mohammad Reza Javan, Eduard A. Jorswieck:
AoI Minimization in Energy Harvesting and Spectrum Sharing Enabled 6G Networks. - Gonzague Yernaux, Wim Vanhoof:
Technical Report: Anti-unification of Unordered Goals. - Kunyu Peng, Juncong Fei, Kailun Yang, Alina Roitberg, Jiaming Zhang, Frank Bieder, Philipp Heidenreich, Christoph Stiller, Rainer Stiefelhagen:
MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding. - Mariia Bakhtina, Raimundas Matulevicius:
Information Security Analysis in the Passenger-Autonomous Vehicle Interaction. - Vjosa Preniqi, Kyriaki Kalimeri, Charalampos Saitis:
Modelling Moral Traits with Music Listening Preferences and Demographics. - Jeonghyun Byun, Dongjae Lee, Hoseong Seo, Inkyu Jang, Jeongjun Choi, H. Jin Kim:
Stability and Robustness Analysis of Plug-Pulling using an Aerial Manipulator. - Tomer Ezra, Michal Feldman, Ron Kupfer:
Prophet Inequality with Competing Agents. - Wei-Hong Li, Xialei Liu, Hakan Bilen:
Improving Task Adaptation for Cross-domain Few-shot Learning. - Hadi Beik-Mohammadi, Matthias Kerzel, Benedikt Pleintinger, Thomas Hulin, Philipp Reisich, Annika Schmidt, Aaron Pereira, Stefan Wermter, Neal Y. Lii:
Model Mediated Teleoperation with a Hand-Arm Exoskeleton in Long Time Delays Using Reinforcement Learning. - Nina Schaaf, Omar de Mitri, Hang Beom Kim, Alexander Windberger, Marco F. Huber:
Towards Measuring Bias in Image Classification. - Elizabath Peter, B. Sundar Rajan:
Coded Caching with Shared Caches from Generalized Placement Delivery Arrays. - Claudio Piciarelli, Gian Luca Foresti:
Drone swarm patrolling with uneven coverage requirements. - Etai Littwin, Omid Saremi, Shuangfei Zhai, Vimal Thilak, Hanlin Goh, Joshua M. Susskind, Greg Yang:
Implicit Acceleration and Feature Learning in Infinitely Wide Neural Networks with Bottlenecks. - Hamed Damirchi, Rooholla Khorrambakht, Hamid D. Taghirad, Behzad Moshiri:
A Consistency-Based Loss for Deep Odometry Through Uncertainty Propagation. - Razieh Baradaran, Hossein Amirkhani:
Ensemble Learning-Based Approach for Improving Generalization Capability of Machine Reading Comprehension Systems. - Federico Igne, Stefano Germano, Ian Horrocks:
Computing CQ lower-bounds over OWL 2 through approximation to RSA. - Jianing Qiu, Frank Po Wen Lo, Xiao Gu, Modou L. Jobarteh, Wenyan Jia, Tom Baranowski, Matilda Steiner-Asiedu, Alex K. Anderson, Megan A. McCrory, Edward Sazonov, Mingui Sun, Gary S. Frost, Benny Lo:
Egocentric Image Captioning for Privacy-Preserved Passive Dietary Intake Monitoring. - Francisco Martín, Jonatan Ginés, Vicente Matellán, Francisco J. Rodríguez:
PlanSys2: A Planning System Framework for ROS2. - Enes Yigitbas, Jonas Klauke, Sebastian Gottschalk, Gregor Engels:
VREUD - An End-User Development Tool to Simplify the Creation of Interactive VR Scenes. - Florian Wörz, Jan-Hendrik Lorenz:
Evidence for Long-Tails in SLS Algorithms. - Lin Li, Xin Kong, Xiangrui Zhao, Tianxin Huang, Yong Liu:
SSC: Semantic Scan Context for Large-Scale Place Recognition. - Alessandro Buccini, Patricia Diaz de Alba:
A variational non-linear constrained model for the inversion of FDEM data. - Xiaodong Liu, Shixu Meng, Bo Zhang:
Modified sampling method with near field measurements. - Nan Gao, Mohammad Saiedur Rahaman, Wei Shao, Flora D. Salim:
Investigating the Reliability of Self-report Survey in the Wild: The Quest for Ground Truth. - Yunxin Li, Yu Zhao, Baotian Hu, Qingcai Chen, Yang Xiang, Xiaolong Wang, Yuxin Ding, Lin Ma:
GlyphCRM: Bidirectional Encoder Representation for Chinese Character with its Glyph. - Konstantin B. Bulatov, Ekaterina Emelianova, Daniil V. Tropin, Natalya Skoryukina, Yulia S. Chernyshova, Alexander Sheshkus, Sergey A. Usilin, Zuheng Ming, Jean-Christophe Burie, Muhammad Muzzamil Luqman, Vladimir V. Arlazarov:
MIDV-2020: A Comprehensive Benchmark Dataset for Identity Document Analysis. - Léon Victor, Alexandre Meyer, Saïda Bouakaz:
Learning-based pose edition for efficient and interactive design. - Shreya Shrestha Meel, B. Sundar Rajan:
Secretive Coded Caching from PDAs. - Alberto Viale, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique:
CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor. - Rajni Dabas, Neelima Gupta:
On Variants of Facility Location Problem with Outliers. - Amit Gajbhiye, Marina Fomicheva, Fernando Alva-Manchego, Frédéric Blain, Abiola Obamuyide, Nikolaos Aletras, Lucia Specia:
Knowledge Distillation for Quality Estimation. - Anne Lauscher, Brandon Ko, Bailey Kuehl, Sophie Johnson, David Jurgens, Arman Cohan, Kyle Lo:
MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting. - Alberto Marchisio, Giacomo Pira, Maurizio Martina, Guido Masera, Muhammad Shafique:
DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks. - Christian Göttel, Konstantinos Parasyris, Osman S. Unsal, Pascal Felber, Marcelo Pasin, Valerio Schiavoni:
Scrooge Attack: Undervolting ARM Processors for Profit. - Joe Stubbs, Suresh Marru, Daniel Mejia, Daniel S. Katz, Kyle Chard, Maytal Dahan, Marlon E. Pierce, Michael G. Zentner:
Toward Interoperable Cyberinfrastructure: Common Descriptions for Computational Resources and Applications. - Tingting Liang, Xiaojie Chu, Yudong Liu, Yongtao Wang, Zhi Tang, Wei Chu, Jingdong Chen, Haibin Ling:
CBNetV2: A Composite Backbone Network Architecture for Object Detection. - (Withdrawn) Machine learning based iterative learning control for non-repetitive time-varying systems.
- Stefan Becker, Ronny Hug, Wolfgang Hübner, Michael Arens, Brendan Tran Morris:
Generating Synthetic Training Data for Deep Learning-Based UAV Trajectory Prediction. - Alejandro Morales Hernández, Gonzalo Nápoles, Agnieszka Jastrzebska, Yamisleydi Salgueiro, Koen Vanhoof:
Online learning of windmill time series using Long Short-term Cognitive Networks. - Yu-Wei Chang, Laura Natali, Oveis Jamialahmadi, Stefano Romeo, Joana B. Pereira, Giovanni Volpe:
Neural Network Training with Highly Incomplete Datasets. - Bo Liu, Shuang Deng, Qiulei Dong, Zhanyi Hu:
Segmenting 3D Hybrid Scenes via Zero-Shot Learning. - Guilherme Ramos, Daniel Silvestre, Carlos Silvestre:
A Discrete-time Reputation-based Resilient Consensus Algorithm for Synchronous or Asynchronous Communications. - Zicong Fan, Adrian Spurr, Muhammed Kocabas, Siyu Tang, Michael J. Black, Otmar Hilliges:
Learning to Disambiguate Strongly Interacting Hands via Probabilistic Per-pixel Part Segmentation. - Erik Larsen, David Noever, Korey MacVittie, John Lilly:
Overhead-MNIST: Machine Learning Baselines for Image Classification. - Shammur Absar Chowdhury, Nadir Durrani, Ahmed Ali:
What do End-to-End Speech Models Learn about Speaker, Language and Channel Information? A Layer-wise and Neuron-level Analysis. - Dong Wang, Ning Ding, Piji Li, Haitao Zheng:
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding. - Liu Leqi, Dylan Hadfield-Menell, Zachary C. Lipton:
When Curation Becomes Creation: Algorithms, Microcontent, and the Vanishing Distinction between Platforms and Creators. - Liam Wellacott, Emilyann Nault, Ioannis Skottis, Alexandre Colle, Shreyank N. Gowda, Pierre Nicolay, Emily Rolley-Parnell:
Test Framework for a Virtual Competition Testbed. - Moses Ganardi:
Compression by Contracting Straight-Line Programs. - (Withdrawn) VideoLightFormer: Lightweight Action Recognition using Transformers.
- Xiaotian Lu, Arseny Tolmachev, Tatsuya Yamamoto, Koh Takeuchi, Seiji Okajima, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima:
Crowdsourcing Evaluation of Saliency-based XAI Methods. - Rahul Nellikkath, Spyros Chatzivasileiadis:
Physics-Informed Neural Networks for Minimising Worst-Case Violations in DC Optimal Power Flow. - Nadejda Roubtsova, Martin Parsons, Nicola Binetti, Isabelle Mareschal, Essi Viding, Darren Cosker:
EmoGen: Quantifiable Emotion Generation and Analysis for Experimental Psychology. - Wanlu Lei, Yu Ye, Ming Xiao, Mikael Skoglund, Zhu Han:
Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge Industrial IoT. - Xiongjie Chen, Hao Wen, Yunpeng Li:
Differentiable Particle Filters through Conditional Normalizing Flow. - Hao Lou, Farzad Farnoud:
Data Deduplication with Random Substitutions. - Boxiang Dong, Bo Zhang, Wendy Hui Wang:
VeriDL: Integrity Verification of Outsourced Deep Learning Services (Extended Version). - Xufeng Lin, Chang-Tsun Li, Victor Sanchez, Carsten Maple:
On the detection-to-track association for online multi-object tracking. - Marcel Keller, Ke Sun:
Secure Quantized Training for Deep Learning. - Qing Cheng, Jie Shen:
A new Lagrange multiplier approach for constructing positivity preserving schemes. - Han-Chih Chang, Jianwei Li, Ching-Seh Wu, Mark Stamp:
Machine Learning and Deep Learning for Fixed-Text Keystroke Dynamics. - Wenkai Chen, Hongzhuo Liang, Zhaopeng Chen, Fuchun Sun, Jianwei Zhang:
TransSC: Transformer-based Shape Completion for Grasp Evaluation. - Muntabir Hasan Choudhury, Himarsha R. Jayanetti, Jian Wu, William A. Ingram, Edward A. Fox:
Automatic Metadata Extraction Incorporating Visual Features from Scanned Electronic Theses and Dissertations. - Aahlad Manas Puli, Lily H. Zhang, Eric K. Oermann, Rajesh Ranganath:
Predictive Modeling in the Presence of Nuisance-Induced Spurious Correlations. - Chaitanya Koparkar, Mike Rainey, Michael Vollmer, Milind Kulkarni, Ryan R. Newton:
Efficient Tree-Traversals: Reconciling Parallelism and Dense Data Representations. - Xinlin Xia, Shang Wang, Han Zhang, Songlin Wang, Sulong Xu, Yun Xiao, Bo Long, Wen-Yun Yang:
SearchGCN: Powering Embedding Retrieval by Graph Convolution Networks for E-Commerce Search. - Alexander Braun, Matthias Buttkus, Thomas Kesselheim:
Asymptotically Optimal Welfare of Posted Pricing for Multiple Items with MHR Distributions. - Lars Malmqvist, Tommy Yuan, Suresh Manandhar:
Visualising Argumentation Graphs with Graph Embeddings and t-SNE. - Tommaso Benciolini, Tim Brüdigam, Marion Leibold:
Multistage Stochastic Model Predictive Control for Urban Automated Driving. - Daniel Grujic, Tabea Henning, Emilio José Calleja García, Andre Bergmann:
Testing a Battery Management System via Criticality-based Rare Event Simulation. - Chimdimma Noelyn Onah, Richard Allmendinger, Julia Handl, Kenneth W. Dunn:
Towards a fairer reimbursement system for burn patients using cost-sensitive classification. - Yijing Liu, Xiang Zhang, Renchang Dai, Guangyi Liu:
Using Terminal Circuit for Power System Electromagnetic Transient Simulation. - Elliot Chane-Sane, Cordelia Schmid, Ivan Laptev:
Goal-Conditioned Reinforcement Learning with Imagined Subgoals. - Mohammad Samin Yasar, Tariq Iqbal:
Improving Human Motion Prediction Through Continual Learning. - Lukas Brencher, Andrea Barth:
Scalar conservation laws with stochastic discontinuous flux function. - Nicolas Hlad, Abdelhak-Djamel Seriai, Christophe Dony:
IsiSPL: Toward an Automated Reactive Approach to build Software Product Lines. - Alexandros Nikolaos Ziogas, Timo Schneider, Tal Ben-Nun, Alexandru Calotoiu, Tiziano De Matteis, Johannes de Fine Licht, Luca Lavarini, Torsten Hoefler:
Productivity, Portability, Performance: Data-Centric Python. - Mohamed Amine Kerkouri, Marouane Tliba, Aladine Chetouani, Rachid Harba:
SALYPATH: A Deep-Based Architecture for visual attention prediction. - Nelson Manohar-Alers, Ryan Feng, Sahib Singh, Jiguo Song, Atul Prakash:
Using Anomaly Feature Vectors for Detecting, Classifying and Warning of Outlier Adversarial Examples. - Aart J. C. Bik:
A Note on Exhaustive State Space Search for Efficient Code Generation. - Jonas Cremerius, Mathias Weske:
Data-Enhanced Process Models in Process Mining. - Marcus Lewis:
Hippocampal Spatial Mapping As Fast Graph Learning. - Amirhossein Khosravipour:
Proposed new dynamic power insertion method for stabilized power generation based on battery energy storage system. - Pierre Gillot, Pekka Parviainen:
Learning Large DAGs by Combining Continuous Optimization and Feedback Arc Set Heuristics. - Evripidis Bampis, Christoph Dürr, Thomas Erlebach, Murilo S. de Lima, Nicole Megow, Jens Schlöter:
Orienting (hyper)graphs under explorable stochastic uncertainty. - Anna Angelogianni, Ilias Politis, Christos Xenakis:
How many FIDO protocols are needed? Surveying the design, security and market perspectives. - Hannes Salin, Dennis Fokin:
Mission Impossible: Securing Master Keys. - Reuben Dorent, Samuel Joutard, Jonathan Shapey, Aaron Kujawa, Marc Modat, Sébastien Ourselin, Tom Vercauteren:
Inter Extreme Points Geodesics for Weakly Supervised Segmentation. - Claudio M. Qureshi, Lucas Reis:
On the functional graph of the power map over finite groups. - Hessah Albanwan, Rongjun Qin, Xiaohu Lu, Mao Li, Desheng Liu, Jean-Michel Guldmann:
3D Iterative Spatiotemporal Filtering for Classification of Multitemporal Satellite Data Sets. - Seunghyun Lee, Younggyo Seo, Kimin Lee, Pieter Abbeel, Jinwoo Shin:
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble. - Changlin Xiao, Rongjun Qin, Xiao Xie, Xu Huang:
Individual Tree Detection and Crown Delineation with 3D Information from Multi-view Satellite Images. - Lucius E. J. Bynum, Joshua R. Loftus, Julia Stoyanovich:
Impact Remediation: Optimal Interventions to Reduce Inequality. - Ziwei Ji, Nathan Srebro, Matus Telgarsky:
Fast Margin Maximization via Dual Acceleration. - Sriram Pingali, Shweta Yadav, Pratik Dutta, Sriparna Saha:
Multimodal Graph-based Transformer Framework for Biomedical Relation Extraction. - Xiao Ling, Xu Huang, Rongjun Qin:
A Unified Framework of Bundle Adjustment and Feature Matching for High-Resolution Satellite Images. - Vittorio Mazzia, Simone Angarano, Francesco Salvetti, Federico Angelini, Marcello Chiaberge:
Action Transformer: A Self-Attention Model for Short-Time Human Action Recognition. - Byron Heersink, Pape M. Sylla, Michael A. Warren:
Formal verification of octorotor flight envelope using barrier functions and SMT solving. - Fengmin Zhu, Fei He:
EqFix: Fixing LaTeX Equation Errors by Examples. - Prabhu Kaliyammal Thiruvasagam, Abhishek Chakraborty, C. Siva Ram Murthy:
Resilient and Latency-aware Orchestration of Network Slices Using Multi-connectivity in MEC-enabled 5G Networks. - Yogesh Phalak:
Design, Modelling and Control of SPIROS: The Six Propellers and Intermeshing Rotors Based Omnidirectional Spherical Robot. - Eduardo Fonseca, Andres Ferraro, Xavier Serra:
Improving Sound Event Classification by Increasing Shift Invariance in Convolutional Neural Networks. - Junqing Huang, Haihui Wang, Xuechao Wang, Michael V. Ruzhansky:
Semi-Sparsity for Smoothing Filters. - Radu Curticapean, Holger Dell, Thore Husfeldt:
Modular counting of subgraphs: Matchings, matching-splittable graphs, and paths. - Diederik P. Kingma, Tim Salimans, Ben Poole, Jonathan Ho:
Variational Diffusion Models. - Andrea Dittadi, Samuele Papa, Michele De Vita, Bernhard Schölkopf, Ole Winther, Francesco Locatello:
Generalization and Robustness Implications in Object-Centric Learning. - Jianwei Yang, Chunyuan Li, Pengchuan Zhang, Xiyang Dai, Bin Xiao, Lu Yuan, Jianfeng Gao:
Focal Self-attention for Local-Global Interactions in Vision Transformers. - Mayee F. Chen, Karan Goel, Nimit Sharad Sohoni, Fait Poms, Kayvon Fatahalian, Christopher Ré:
Mandoline: Model Evaluation under Distribution Shift. - Nicklas Hansen, Hao Su, Xiaolong Wang:
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation. - Yongming Rao, Wenliang Zhao, Zheng Zhu, Jiwen Lu, Jie Zhou:
Global Filter Networks for Image Classification. - Yen-Chen Lin, Andy Zeng, Shuran Song, Phillip Isola, Tsung-Yi Lin:
Learning to See before Learning to Act: Visual Pre-training for Manipulation. - Nathaniel Braman, Jacob W. H. Gordon, Emery T. Goossens, Caleb Willis, Martin C. Stumpe, Jagadish Venkataraman:
Deep Orthogonal Fusion: Multimodal Prognostic Biomarker Discovery Integrating Radiology, Pathology, Genomic, and Clinical Data. - Janis Postels, Mattia Segù, Tao Sun, Luc Van Gool, Fisher Yu, Federico Tombari:
On the Practicality of Deterministic Epistemic Uncertainty. - Medhini Narasimhan, Anna Rohrbach, Trevor Darrell:
CLIP-It! Language-Guided Video Summarization. - Minghao Chen, Houwen Peng, Jianlong Fu, Haibin Ling:
AutoFormer: Searching Transformers for Visual Recognition. - Xiaoyi Dong, Jianmin Bao, Dongdong Chen, Weiming Zhang, Nenghai Yu, Lu Yuan, Dong Chen, Baining Guo:
CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows. - Yu Shi:
Transformer-F: A Transformer network with effective methods for learning universal sentence representation. - Lisa Benato, Erik Buhmann, Martin Erdmann, Peter Fackeldey, Jonas Glombitza, Nikolai Hartmann, Gregor Kasieczka, William Korcari, Thomas Kuhr, Jan Steinheimer, Horst Stöcker, Tilman Plehn, Kai Zhou:
Shared Data and Algorithms for Deep Learning in Fundamental Physics. - Sumanth Doddapaneni, Gowtham Ramesh, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra:
A Primer on Pretrained Multilingual Language Models. - (Withdrawn) Efficient Attribute-Based Smart Contract Access Control Enhanced by Reputation Assessment.
- Yi Liu, Lihong Li:
A Map of Bandits for E-commerce. - Michael Noseworthy, Caris Moses, Isaiah Brand, Sebastian Castro, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Nicholas Roy:
Active Learning of Abstract Plan Feasibility. - Sujoy Bhore, Csaba D. Tóth:
Online Euclidean Spanners. - Zehao Dou, Zhuoran Yang, Zhaoran Wang, Simon S. Du:
Gap-Dependent Bounds for Two-Player Markov Games. - Youngjoo Kim:
Aerial Map-Based Navigation Using Semantic Segmentation and Pattern Matching. - Manolis Chiou, Faye McCabe, Markella Grigoriou, Rustam Stolkin:
Trust, Shared Understanding and Locus of Control in Mixed-Initiative Robotic Systems. - S. Ehsan Mirsadeghi, Ali Royat, Hamid Rezatofighi:
Unsupervised Image Segmentation by Mutual Information Maximization and Adversarial Regularization. - Brendan Shillingford, Yannis M. Assael, Misha Denil:
Interactive decoding of words from visual speech recognition models. - Diego Aghi, Simone Cerrato, Vittorio Mazzia, Marcello Chiaberge:
Deep Semantic Segmentation at the Edge for Autonomous Navigation in Vineyard Rows. - Anssi Kanervisto, Christian Scheller, Yanick Schraner, Ville Hautamäki:
Distilling Reinforcement Learning Tricks for Video Games. - Junqing Huang, Michael V. Ruzhansky, Qianying Zhang, Haihui Wang:
Intrinsic Image Transfer for Illumination Manipulation. - Jiahui Zhang, Shijian Lu, Fangneng Zhan, Yingchen Yu:
Blind Image Super-Resolution via Contrastive Representation Learning. - Ulysse Côté Allard, Petter Jakobsen, Andrea Stautland, Tine Nordgreen, Ole Bernt Fasmer, Ketil Joachim Oedegaard, Jim Tørresen:
Long-Short Ensemble Network for Bipolar Manic-Euthymic State Recognition Based on Wrist-worn Sensors. - Dmitry Levando:
Formation of coalition structures as a non-cooperative game. - Manuel Rebol, Christian Gütl, Krzysztof Pietroszek:
Passing a Non-verbal Turing Test: Evaluating Gesture Animations Generated from Speech. - Guilherme B. Araújo, Maycon L. M. Peixoto, Leobino N. Sampaio:
NDN4IVC: A Framework for Simulating and Testing of Applications in Vehicular Named Data Networking. - Suraj Kothawade, Nathan Beck, KrishnaTeja Killamsetty, Rishabh K. Iyer:
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios. - Abdalkarim Mohtasib, Amir Ghalamzan E, Nicola Bellotto, Heriberto Cuayáhuitl:
Neural Task Success Classifiers for Robotic Manipulation from Few Real Demonstrations. - Siddharth Priya, Xiang Zhou, Yusen Su, Yakir Vizel, Yuyan Bao, Arie Gurfinkel:
Verifying Verified Code. - Shanu Kumar, Vinod Kumar Kurmi, Praphul Singh, Vinay P. Namboodiri:
Mitigating Uncertainty of Classifier for Unsupervised Domain Adaptation. - Ruoyu Wang, Daniel Sun, Guoqiang Li, Raymond K. Wong, Shiping Chen:
Essence of Factual Knowledge. - Anubhab Ghosh, Antoine Honoré, Dong Liu, Gustav Eje Henter, Saikat Chatterjee:
Normalizing Flow based Hidden Markov Models for Classification of Speech Phones with Explainability. - Kanishk, Shashwat Patnaik:
Design Optimization of Monoblade Autorotating Pods To Exhibit an Unconventional Descent Technique Using Glauert's Modelling. - Vaden Masrani, Rob Brekelmans, Thang Bui, Frank Nielsen, Aram Galstyan, Greg Ver Steeg, Frank Wood:
q-Paths: Generalizing the Geometric Annealing Path using Power Means. - Amith Khandakar, Muhammad Enamul Hoque Chowdhury, Md. Saifuddin Khalid, Nizar Zorba:
Case study of Innovative Teaching Practices and their Impact for Electrical Engineering Courses during COVID-19 Pandemic. - Vaden Masrani:
Proof of the impossibility of probabilistic induction. - Nitish Joshi, He He:
An Investigation of the (In)effectiveness of Counterfactually Augmented Data. - Sabah Al-Fedaghi:
TMUML: A Singular TM Model with UML Use Cases and Classes. - Greg d'Eon, Jason d'Eon, James R. Wright, Kevin Leyton-Brown:
The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models. - Elia Costa, Francesco Silvestri:
On the Bike Spreading Problem. - Nathaniel Glaser, Yen-Cheng Liu, Junjiao Tian, Zsolt Kira:
Enhancing Multi-Robot Perception via Learned Data Association. - Nathaniel Glaser, Yen-Cheng Liu, Junjiao Tian, Zsolt Kira:
Overcoming Obstructions via Bandwidth-Limited Multi-Agent Spatial Handshaking. - Scott Gilroy, Derek Lau, Lizhi Yang, Ed Izaguirre, Kristen Biermayer, Anxing Xiao, Mengti Sun, Ayush Agrawal, Jun Zeng, Zhongyu Li, Koushil Sreenath:
Autonomous Navigation for Quadrupedal Robots with Optimized Jumping through Constrained Obstacles. - Hossein Esfandiari, Vahab S. Mirrokni, Shyam Narayanan:
Almost Tight Approximation Algorithms for Explainable Clustering. - Hong-You Chen, Wei-Lun Chao:
On Bridging Generic and Personalized Federated Learning. - Yunhe Gao, Mu Zhou, Dimitris N. Metaxas:
UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation. - Huajun Liu, Fuqiang Liu, Xinyi Fan, Dong Huang:
Polarized Self-Attention: Towards High-quality Pixel-wise Regression. - Yunhan Huang, Linan Huang, Quanyan Zhu:
Reinforcement Learning for Feedback-Enabled Cyber Resilience. - Motonari Kambara, Komei Sugiura:
Case Relation Transformer: A Crossmodal Language Generation Model for Fetching Instructions. - Kevin Xia, Kai-Zhan Lee, Yoshua Bengio, Elias Bareinboim:
The Causal-Neural Connection: Expressiveness, Learnability, and Inference. - John Chen, Qihan Wang, Anastasios Kyrillidis:
Mitigating deep double descent by concatenating inputs. - Konstantin Makarychev, Liren Shan:
Near-optimal Algorithms for Explainable k-Medians and k-Means. - Yuxin Deng, Yuan Feng:
Formal Semantics of a Classical-Quantum Language. - Ahmed Ibrahim, Ebrahim Bedeer, Halim Yanikomeroglu:
A Novel Low Complexity Faster-than-Nyquist (FTN) Signaling Detector for Ultra High-Order QAM. - Nanjiang Jiang, Marie-Catherine de Marneffe:
He Thinks He Knows Better than the Doctors: BERT for Event Factuality Fails on Pragmatics. - Xiaoni Li, Yucan Zhou, Yu Zhou, Weiping Wang:
MMF: Multi-Task Multi-Structure Fusion for Hierarchical Image Classification. - Shintaro Ishikawa, Komei Sugiura:
Target-dependent UNITER: A Transformer-Based Multimodal Language Comprehension Model for Domestic Service Robots. - Changxin Qiu, Jue Yan:
Cell-average based neural network method for hyperbolic and parabolic partial differential equations. - Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara:
Few-shot Learning for Unsupervised Feature Selection. - Shubham Shukla, Lokesh Kumar, Titas Bera, Ranjan Dasgupta:
A Levy Flight based Narrow Passage Sampling Method for Probabilistic Roadmap Planners. - Pengcheng Wang, Lingqiao Ji, Zhilong Ji, Yuan Gao, Xiao Liu:
1st Place Solutions for UG2+ Challenge 2021 - (Semi-)supervised Face detection in the low light condition. - Guy Blanc, Jane Lange, Mingda Qiao, Li-Yang Tan:
Decision tree heuristics can fail, even in the smoothed setting. - Yu-Hsuan Shih, Georg Stadler, Florian Wechsung:
Robust multigrid techniques for augmented Lagrangian preconditioning of incompressible Stokes equations with extreme viscosity variations. - Vishnu Banna, Akhil Chinnakotla, Zhengxin Yan, Anirudh Vegesana, Naveen Vivek, Kruthi Krishnappa, Wenxin Jiang, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis:
An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors. - Han Wang, Chen Wang, Chun-Lin Chen, Lihua Xie:
F-LOAM: Fast LiDAR Odometry And Mapping. - Mihaela Curmei, Sarah Dean, Benjamin Recht:
Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability. - Nazmul Karim, Alireza Zaeemzadeh, Nazanin Rahnavard:
RL-NCS: Reinforcement learning based data-driven approach for nonuniform compressed sensing. - Feng Gao, Jiancheng Ni, Peng Gao, Zili Zhou, Yan-Yan Li, Hamido Fujita:
Heterogeneous Graph Attention Network for Multi-hop Machine Reading Comprehension. - Hongji Yang, Xiufan Lu, Yingying Zhu:
Cross-view Geo-localization with Evolving Transformer. - Younsik Kim, Dongjin Oh, Soonsang Huh, Dongjoon Song, Sunbeom Jeong, Junyoung Kwon, Minsoo Kim, Donghan Kim, Hanyoung Ryu, Jongkeun Jung, Wonshik Kyung, Byungmin Sohn, Suyoung Lee, Jounghoon Hyun, Yeonghoon Lee, Yeongkwan Kim, Changyoung Kim:
Deep learning-based statistical noise reduction for multidimensional spectral data. - Yan Kyaw Tun, Yu Min Park, Tra Huong Thi Le, Zhu Han, Choong Seon Hong:
A Business Model for Resource Sharing in Cell-Free UAVs-Assisted Wireless Networks. - Ruihong Qiu, Zi Huang, Tong Chen, Hongzhi Yin:
Exploiting Positional Information for Session-based Recommendation. - Ruihong Qiu, Zi Huang, Jingjing Li, Hongzhi Yin:
Exploiting Cross-Session Information for Session-based Recommendation with Graph Neural Networks. - Evgeny Bobrov, Boris Chinyaev, Viktor Kuznetsov, Hao Lu, Dmitrii Minenkov, Sergey Troshin, Daniil Yudakov, Danila Zaev:
Adaptive Regularized Zero-Forcing Beamforming in Massive MIMO with Multi-Antenna Users. - Yu Min Park, Yan Kyaw Tun, Zhu Han, Choong Seon Hong:
Trajectory Optimization and Phase-Shift Design in IRS Assisted UAV Network for High Speed Trains. - Hayeon Lee, Eunyoung Hyung, Sung Ju Hwang:
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets. - Yuanbang Li:
User Role Discovery and Optimization Method based on K-means + Reinforcement learning in Mobile Applications. - Yunzhuang Shen, Yuan Sun, Andrew C. Eberhard, Xiaodong Li:
Learning Primal Heuristics for Mixed Integer Programs. - Yuanbang Li:
Construction and Adaptability Analysis of User's Preference Models Based on Check-in Data in LBSN. - Kazuya Takabatake, Shotaro Akaho:
Reconsidering Dependency Networks from an Information Geometry Perspective. - Malte Brockmeier, Yawen Liu, Sunita Pateer, Sven Hertling, Heiko Paulheim:
On-Demand and Lightweight Knowledge Graph Generation - a Demonstration with DBpedia. - Geet Shingi, Harsh Saglani, Preeti Jain:
Segmented Federated Learning for Adaptive Intrusion Detection System. - Shreyas Hampali, Sayan Deb Sarkar, Vincent Lepetit:
HO-3D_v3: Improving the Accuracy of Hand-Object Annotations of the HO-3D Dataset. - Marina Haikin, Ram Zamir:
Moments of Subsets of General Equiangular Tight Frames. - Michael Völske, Janek Bevendorff, Johannes Kiesel, Benno Stein, Maik Fröbe, Matthias Hagen, Martin Potthast:
Web Archive Analytics. - Maosen Li, Siheng Chen, Yanning Shen, Genjia Liu, Ivor W. Tsang, Ya Zhang:
Online Multi-Agent Forecasting with Interpretable Collaborative Graph Neural Network. - Tong Mao, Zhongjie Shi, Ding-Xuan Zhou:
Theory of Deep Convolutional Neural Networks III: Approximating Radial Functions. - Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah:
Cooperative Autonomous Vehicles that Sympathize with Human Drivers. - DoHyeon Kim, Aunas Manzoor, Madyan Alsenwi, Yan Kyaw Tun, Walid Saad, Choong Seon Hong:
Ruin Theory for User Association and Energy Optimization in Multi-access Edge Computing. - Constantin Sander, Ike Kunze, Klaus Wehrle, Jan Rüth:
Video Conferencing and Flow-Rate Fairness: A First Look at Zoom and the Impact of Flow-Queuing AQM. - Afonso Fontes, Gregory Gay:
Using Machine Learning to Generate Test Oracles: A Systematic Literature Review. - Sehoon Kim, Sheng Shen, David Thorsley, Amir Gholami, Joseph Hassoun, Kurt Keutzer:
Learned Token Pruning for Transformers. - Katrine Tjell, Rafael Wisniewski:
Privacy in Distributed Computations based on Real Number Secret Sharing. - Edward Elson Kosasih, Alexandra Brintrup:
Reinforcement Learning Provides a Flexible Approach for Realistic Supply Chain Safety Stock Optimisation. - Francesco Giuliari, Alberto Castellini, Riccardo Berra, Alessio Del Bue, Alessandro Farinelli, Marco Cristani, Francesco Setti, Yiming Wang:
POMP++: Pomcp-based Active Visual Search in unknown indoor environments. - Syed Ghazi Sarwat, Timoleon Moraitis, C. David Wright, Harish Bhaskaran:
Chalcogenide optomemristors for multi-factor neuromorphic computation. - Tao Han, Hantao Huang, Ziang Yang, Wei Han:
Supervised Contrastive Learning for Accented Speech Recognition. - Mohammad Javad Shayegan, Hamid Reza Sabor:
A Collective Anomaly Detection Method Over Bitcoin Network. - Luisa März, Stefan Schweter, Nina Pörner, Benjamin Roth, Hinrich Schütze:
Data Centric Domain Adaptation for Historical Text with OCR Errors. - Shaun Azzopardi, Nir Piterman, Gerardo Schneider:
Incorporating Monitors in Reactive Synthesis without Paying the Price. - Anil Berk Altuner, Zeynep Hilal Kilimci:
A Novel Deep Reinforcement Learning Based Stock Direction Prediction using Knowledge Graph and Community Aware Sentiments. - Conghao Wong, Beihao Xia, Qinmu Peng, Xinge You:
MSN: Multi-Style Network for Trajectory Prediction. - Jiahui Li, Wen Chen, Xiaodi Huang, Zhiqiang Hu, Qi Duan, Hongsheng Li, Dimitris N. Metaxas, Shaoting Zhang:
Mixed Supervision Learning for Whole Slide Image Classification. - Mathias-Felipe de-Lima-Santos, Arwa Kooli:
Instagrammable Data: Using Visuals to Showcase More Than Numbers on AJ Labs Instagram Page. - Suryanarayana Maddu, Dominik Sturm, Christian L. Müller, Ivo F. Sbalzarini:
Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks. - Raj Jagtap, Abhinav Kumar, Rahul Goel, Shakshi Sharma, Rajesh Sharma, Clint P. George:
Misinformation Detection on YouTube Using Video Captions. - Lingbo Liu, Yuying Zhu, Guanbin Li, Ziyi Wu, Lei Bai, Liang Lin:
Online Metro Origin-Destination Prediction via Heterogeneous Information Aggregation. - Zhiyuan Wang, Haoyi Xiong, Jie Zhang, Sijia Yang, Mehdi Boukhechba, Laura E. Barnes, Daqing Zhang:
From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques. - Christian Guckelsberger, Anna Kantosalo, Santiago Negrete-Yankelevich, Tapio Takala:
Embodiment and Computational Creativity. - Anastasia Zhukova, Felix Hamborg, Karsten Donnay, Bela Gipp:
Concept Identification of Directly and Indirectly Related Mentions Referring to Groups of Persons. - Grgur Kovac, Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer:
SocialAI: Benchmarking Socio-Cognitive Abilities in Deep Reinforcement Learning Agents. - Tareq Si Salem, Giovanni Neglia, Damiano Carra:
AÇAI: Ascent Similarity Caching with Approximate Indexes. - Chen Dun, Cameron R. Wolfe, Christopher M. Jermaine, Anastasios Kyrillidis:
ResIST: Layer-Wise Decomposition of ResNets for Distributed Training. - Antonella Barisic, Frano Petric, Stjepan Bogdan:
Brain over Brawn - Using a Stereo Camera to Detect, Track and Intercept a Faster UAV by Reconstructing Its Trajectory. - Charalampos Zafeiropoulos, Ioannis N. Tzortzis, Ioannis Rallis, Eftychios Protopapadakis, Nikolaos D. Doulamis, Anastasios D. Doulamis:
Evaluating the Usefulness of Unsupervised monitoring in Cultural Heritage Monuments. - Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Data-driven model predictive control: closed-loop guarantees and experimental results. - Xiang Hu, Haitao Mi, Zujie Wen, Yafang Wang, Yi Su, Jing Zheng, Gerard de Melo:
R2D2: Recursive Transformer based on Differentiable Tree for Interpretable Hierarchical Language Modeling. - Thanaphon Suwannaphong, Sawaphob Chavana, Sahapol Tongsom, Duangdao Palasuwan, Thanarat H. Chalidabhongse, Nantheera Anantrasirichai:
Parasitic Egg Detection and Classification in Low-cost Microscopic Images using Transfer Learning. - Konstantinos Gounis, Nick Bassiliades:
Intelligent Momentary Assisted Control for Autonomous Emergency Braking. - Hadrien Reynaud, Athanasios Vlontzos, Benjamin Hou, Arian Beqiri, Paul Leeson, Bernhard Kainz:
Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation. - Zongsheng Yue, Qian Zhao, Jianwen Xie, Lei Zhang, Deyu Meng:
Unsupervised Single Image Super-resolution Under Complex Noise. - Azat Akhmetyanov, Anastasiia Kornilova, Marsel Faizullin, David Pozo, Gonzalo Ferrer:
Sub-millisecond Video Synchronization of Multiple Android Smartphones. - Jian Gu, Zimin Chen, Martin Monperrus:
Multimodal Representation for Neural Code Search. - Zeba Khanam, Atiya Usmani:
Optical Braille Recognition using Circular Hough Transform. - Nathan Noiry, Flore Sentenac, Vianney Perchet:
Online Matching in Sparse Random Graphs: Non-Asymptotic Performances of Greedy Algorithm. - Motasem Alfarra, Adel Bibi, Naeemullah Khan, Philip H. S. Torr, Bernard Ghanem:
DeformRS: Certifying Input Deformations with Randomized Smoothing. - Ginno Millán:
An Algorithm for Flow Control in Computer Networks Based in Discrete Control Theory. - Albert Wong, Chun Yin Chiu, Gaétan Hains, Jack Humphrey, Hans Fuhrmann, Youry Khmelevsky, Chris Mazur:
Gamers Private Network Performance Forecasting. From Raw Data to the Data Warehouse with Machine Learning and Neural Nets. - Dominic Schulz, Julian Hohmann, Peter Hellwig, Christoph Kottke, Ronald Freund, Volker Jungnickel, Ralf-Peter Braun, Frank Geilhardt:
All-Indoor Optical Customer Premises Equipment for Fixed Wireless Access. - Vidyottama Jain, Raina Raj, Selvamuthu Dharmaraja:
Cost analysis of a MAP/PH/S performability model with PH retrial times using simulated annealing method. - Peng Yang, Tony Q. S. Quek, Jingxuan Chen, Chaoqun You, Xianbin Cao:
Feeling of Presence Maximization: mmWave-Enabled Virtual Reality Meets Deep Reinforcement Learning. - Ilia Karmanov, Farhad G. Zanjani, Simone Merlin, Ishaque Kadampot, Daniel Dijkman:
WiCluster: Passive Indoor 2D/3D Positioning using WiFi without Precise Labels. - Bob Briscoe:
PI2 Parameters. - Ahmed Benfaid, Nadia Adem, Bassem Khalfi:
AdaptSky: A DRL Based Resource Allocation Framework in NOMA-UAV Networks. - Matthew K. Luka, Okpo U. Okereke, Elijah E. Omizegba, Ejike C. Anene:
Blockchains for Spectrum Management in Wireless Networks: A Survey. - Carlos Bendicho:
Cyber Security in Cloud: Risk Assessment Models. - Nguyen Truong Son, Quach Cong Hoang, Dang Thi Huong Giang, Vu Minh Trung, Vuong Quang Huy, Mai Anh Tuan:
Developing system of wireless sensor network and unmaned aerial vehicle for agriculture inspection. - Mirgita Frasheri, Henrik Ejersbo, Casper Thule, Lukas Esterle:
RMQFMU: Bridging the Real World with Co-simulation Technical Report. - Hao Zhou, Medhat H. M. Elsayed, Melike Erol-Kantarci:
RAN Resource Slicing in 5G Using Multi-Agent Correlated Q-Learning. - Emilio Calvanese Strinati, Didier Belot, Alexis Falempin, Jean-Baptiste Doré:
Toward 6G: From New Hardware Design to Wireless Semantic and Goal-Oriented Communication Paradigms. - Anirudha Jitani, Aditya Mahajan, Zhongwen Zhu, Hatem Abou-zeid, Emmanuel Thepie Fapi, Hakimeh Purmehdi:
Structure-aware reinforcement learning for node-overload protection in mobile edge computing. - Meltem Civas, Oktay Cetinkaya, Murat Kuscu, Özgür B. Akan:
Universal Transceivers: Opportunities and Future Directions for the Internet of Everything (IoE). - Sk. A. Shezan, S. Rawdah, Shafin Ali, Ziaur Rahman:
Design and implementation of an islanded hybrid microgrid system for a large resort center for Penang Island with the proper application of excess energy. - Jonathan Dumas:
Weather-based forecasting of energy generation, consumption and price for electrical microgrids management. - Xiangyu Chen, Jun Chen Ke, Wankai Tang, Ming Zheng Chen, Jun Yan Dai, Ertugrul Basar, Shi Jin, Qiang Cheng, Tie Jun Cui:
Design and Implementation of MIMO Transmission Based on Dual-Polarized Reconfigurable Intelligent Surface. - Manon Revel, Tao Lin, Daniel Halpern:
The Optimal Size of an Epistemic Congress. - Vitor Bosshard, Sven Seuken:
Shapley-Based Core-Selecting Payment Rules. - Frederik Träuble, Julius von Kügelgen, Matthäus Kleindessner, Francesco Locatello, Bernhard Schölkopf, Peter V. Gehler:
Backward-Compatible Prediction Updates: A Probabilistic Approach. - Antoine Armandine Les Landes, Daniel Castanon Quiroz, Laurent Jeannin, Simon Lopez, Roland Masson:
Two-phase geothermal model with fracture network and multi-branch wells. - (Withdrawn) Magnification-independent Histopathological Image Classification with Similarity-based Multi-scale Embeddings.
- Shahab Jalalvand, Srinivas Bangalore:
Unsupervised Spoken Utterance Classification. - Michael Konopik, Till Korten, Heiner Linke, Eric Lutz:
Solving the subset sum problem with a nonideal biological computer. - Adam Tsakalidis, Pierpaolo Basile, Marya Bazzi, Mihai Cucuringu, Barbara McGillivray:
DUKweb: Diachronic word representations from the UK Web Archive corpus. - Mathias Anselmann, Markus Bause:
Numerical convergence of discrete extensions in a space-time finite element, fictitious domain method for the Navier-Stokes equations. - Éric Piette, Matthew Stephenson, Dennis J. N. J. Soemers, Cameron Browne:
General Board Game Concepts. - Chen Chen, Kerstin Hammernik, Cheng Ouyang, Chen Qin, Wenjia Bai, Daniel Rueckert:
Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation. - Alberto Badías, Ashis Banerjee:
Neural Network Layer Algebra: A Framework to Measure Capacity and Compression in Deep Learning. - Manu Airaksinen, Sampsa Vanhatalo, Okko Räsänen:
Comparison of end-to-end neural network architectures and data augmentation methods for automatic infant motility assessment using wearable sensors. - Nikita Pavlichenko, Ivan Stelmakh, Dmitry Ustalov:
Vox Populi, Vox DIY: Benchmark Dataset for Crowdsourced Audio Transcription. - Felipe R. Monteiro, Mikhail R. Gadelha, Lucas C. Cordeiro:
Model Checking C++ Programs. - Qi Liu, Xueyuan Li, Shihua Yuan, Zirui Li:
Decision-Making Technology for Autonomous Vehicles Learning-Based Methods, Applications and Future Outlook. - Ni Ding, Farhad Farokhi:
Measuring Information Leakage in Non-stochastic Brute-Force Guessing. - Zsófia Zádor, Zhen Zhu, Matthew Smith, Sara Gorgoni:
A Weighted and Normalized Gould-Fernandez Brokerage Measure. - Yuhao Lu, Zhenqing Liu, Dejun Jiang, Liuying Ma, Jin Xiong:
A Micro-Service based Approach for Constructing Distributed Storage System. - Tong Zhou, Kailin Yin:
Global Structure Identifiability and Reconstructibility of an NDS with Descriptor Subsystems. - Jingrun Chen, Shi Jin, Liyao Lyu:
A Deep Learning Based Discontinuous Galerkin Method for Hyperbolic Equations with Discontinuous Solutions and Random Uncertainties. - Davood Zabihzadeh:
Ensemble of Loss Functions to Improve Generalizability of Deep Metric Learning methods. - Faisal N. Abu-Khzam, Norma Makarem, Maryam Shehab:
An Improved Fixed-Parameter Algorithm for 2-Club Cluster Edge Deletion. - Bernd Finkbeiner, Felix Klein, Niklas Metzger:
Live Synthesis. - Liangkai Liu, Shaoshan Liu, Weisong Shi:
4C: A Computation, Communication, and Control Co-Design Framework for CAVs. - Dominik Ernst, Georg Hager, Markus Holzer, Matthias Knorr, Gerhard Wellein:
Opening the Black Box: Performance Estimation during Code Generation for GPUs. - Haiyang Wang, Wenguan Wang, Xizhou Zhu, Jifeng Dai, Liwei Wang:
Collaborative Visual Navigation. - Wenguan Wang, Tianfei Zhou, Fatih Porikli, David Crandall, Luc Van Gool:
A Survey on Deep Learning Technique for Video Segmentation. - Wenqi Wei, Ling Liu, Yanzhao Wu, Gong Su, Arun Iyengar:
Gradient-Leakage Resilient Federated Learning. - Alejandro Aguirre, Gilles Barthe, Marco Gaboardi, Deepak Garg, Shin-ya Katsumata, Tetsuya Sato:
Higher-order probabilistic adversarial computations: Categorical semantics and program logics. - Paul Karaenke, Maximilian Schiffer, Stefan Waldherr:
The Customer is Always Right: Customer-Centered Pooling for Ride-Hailing Systems. - Massimo Giulietti, Arianna Sabatini, Marco Timpanella:
PIR codes from combinatorial structures. - Nidhika Yadav:
Computing Fuzzy Rough Set based Similarities with Fuzzy Inference and Its Application to Sentence Similarity Computations. - Guanghui Wang, Ming Yang, Lijun Zhang, Tianbao Yang:
Momentum Accelerates the Convergence of Stochastic AUPRC Maximization. - Su Zhang, Yi Ding, Ziquan Wei, Cuntai Guan:
Audio-visual Attentive Fusion for Continuous Emotion Recognition. - Shailesh Bavadekar, Adam Boulanger, John Davis, Damien Desfontaines, Evgeniy Gabrilovich, Krishna Gadepalli, Badih Ghazi, Tague Griffith, Jai Prakash Gupta, Chaitanya Kamath, Dennis Kraft, Ravi Kumar, Akim Kumok, Yael Mayer, Pasin Manurangsi, Arti Patankar, Irippuge Milinda Perera, Chris Scott, Tomer Shekel, Benjamin Miller, Karen Smith, Charlotte Stanton, Mimi Sun, Mark Young, Gregory Wellenius:
Google COVID-19 Vaccination Search Insights: Anonymization Process Description. - Li Mi, Yangjun Ou, Zhenzhong Chen:
Visual Relationship Forecasting in Videos. - Sven Gross, Arnold Reusken:
Optimal preconditioners for a Nitsche stabilized fictitious domain finite element method. - Saif M. Mohammad:
Ethics Sheets for AI Tasks. - Tyler Cody, Stephen C. Adams, Peter A. Beling:
Empirically Measuring Transfer Distance for System Design and Operation. - Prajoy Podder, Subrato Bharati, M. Rubaiyat Hossain Mondal, Pinto Kumar Paul, Utku Kose:
Artificial Neural Network for Cybersecurity: A Comprehensive Review. - Martin J. A. Schuetz, John Kyle Brubaker, Helmut G. Katzgraber:
Combinatorial Optimization with Physics-Inspired Graph Neural Networks. - (Withdrawn) NTIRE 2021 Multi-modal Aerial View Object Classification Challenge.
- Liping Wang, Saideep Tiku, Sudeep Pasricha:
CHISEL: Compression-Aware High-Accuracy Embedded Indoor Localization with Deep Learning. - Lin Zhang, Qi She, Zhengyang Shen, Changhu Wang:
How Incomplete is Contrastive Learning? An Inter-intra Variant Dual Representation Method for Self-supervised Video Recognition. - Tyler Cody, Peter A. Beling:
A Systems Theory of Transfer Learning. - Harshad Zade, Aadesh Varude, Karan Pandya, Ajinkya Kamat, Shital S. Chiddarwar, Rohan Thakker:
ReQuBiS - Reconfigurable Quadrupedal-Bipedal Snake Robots. - Abheesht Sharma, Gunjan Chhablani, Harshit Pandey, Rajaswa Patil:
DRIFT: A Toolkit for Diachronic Analysis of Scientific Literature. - Milena Bajic, Shahrzad M. Pour, Asmus Skar, Matteo Pettinari, Eyal Levenberg, Tommy Sonne Alstrøm:
Road Roughness Estimation Using Machine Learning. - Mohd Zeeshan Ansari, M. M. Sufyan Beg, Tanvir Ahmad, Mohd Jazib Khan, Ghazali Wasim:
Language Identification of Hindi-English tweets using code-mixed BERT. - Jameel Malik, Soshi Shimada, Ahmed Elhayek, Sk Aziz Ali, Christian Theobalt, Vladislav Golyanik, Didier Stricker:
HandVoxNet++: 3D Hand Shape and Pose Estimation using Voxel-Based Neural Networks. - Pasin Manurangsi:
Linear Discrepancy is Π2-Hard to Approximate. - Sunny Tran, Pranav Krishna, Ishan Pakuwal, Prabhakar Kafle, Nikhil Singh, Jayson Lynch, Iddo Drori:
Solving Machine Learning Problems. - Marcelo Arenas, Pedro Bahamondes, Julia Stoyanovich:
Temporal Regular Path Queries: Syntax, Semantics, and Complexity. - Niclas Jansson, Martin Karp, Artur Podobas, Stefano Markidis, Philipp Schlatter:
Neko: A Modern, Portable, and Scalable Framework for High-Fidelity Computational Fluid Dynamics. - Anant A. Joshi, Amirhossein Taghvaei, Prashant G. Mehta:
Ensemble Kalman Filter (EnKF) for Reinforcement Learning (RL). - Indu Joshi, Ayush Utkarsh, Riya Kothari, Vinod K. Kurmi, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra:
Data Uncertainty Guided Noise-aware Preprocessing Of Fingerprints. - Michael A. Bender, Bradley C. Kuszmaul, William Kuszmaul:
Linear Probing Revisited: Tombstones Mark the Death of Primary Clustering. - Paulito P. Palmes, Akihiro Kishimoto, Radu Marinescu, Parikshit Ram, Elizabeth Daly:
Designing Machine Learning Pipeline Toolkit for AutoML Surrogate Modeling Optimization. - Dongliang Zheng, Panagiotis Tsiotras:
Accelerating Kinodynamic RRT* Through Dimensionality Reduction. - Christoph Dann, Teodor V. Marinov, Mehryar Mohri, Julian Zimmert:
Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning. - Rui Wang:
Physics-Guided Deep Learning for Dynamical Systems: A survey. - (Withdrawn) Visual Time Series Forecasting: An Image-driven Approach.
- Mukund Telukunta, Venkata Sriram Siddhardh Nadendla:
Non-Comparative Fairness for Human-Auditing and Its Relation to Traditional Fairness Notions. - Humberto De las Casas, Santino Bianco, Hanz Richter:
Targeted Muscle Effort Distribution with Exercise Robots: Trajectory and Resistance Effects. - Luigi Penco, Jean-Baptiste Mouret, Serena Ivaldi:
Prescient teleoperation of humanoid robots. - Fahim Faisal Niloy, Arif, Abu Bakar Siddik Nayem, Anis Sarker, Ovi Paul, M. Ashraful Amin, Amin Ahsan Ali, Moinul Islam Zaber, A. K. M. Mahbubur Rahman:
A Novel Disaster Image Dataset and Characteristics Analysis using Attention Model. - Hamed Saeidi, Justin D. Opfermann, Michael Kam, Shuwen Wei, Simon Léonard, Michael H. Hsieh, Jin U. Kang, Axel Krieger:
Breaking Barriers in Robotic Soft Tissue Surgery: Conditional Autonomous Intestinal Anastomosis. - Surendra Nepal, Yosief Wondmagegne, Adrian Muntean:
Error estimates for semi-discrete finite element approximations for a moving boundary problem capturing the penetration of diffusants into rubber. - Geoffrey Pettet, Ayan Mukhopadhyay, Mykel J. Kochenderfer, Abhishek Dubey:
Hierarchical Planning for Dynamic Resource Allocation in Smart and Connected Communities. - Yao Dou, Maxwell Forbes, Rik Koncel-Kedziorski, Noah A. Smith, Yejin Choi:
Scarecrow: A Framework for Scrutinizing Machine Text. - Stephen Chang, Michael Ballantyne, Milo Turner, William J. Bowman:
Dependent Type Systems as Macros. - Uday Singh Saini, Pravallika Devineni, Evangelos E. Papalexakis:
Subspace Clustering Based Analysis of Neural Networks. - Shih-Yu Sun, Vimal Thilak, Etai Littwin, Omid Saremi, Joshua M. Susskind:
Implicit Greedy Rank Learning in Autoencoders via Overparameterized Linear Networks. - Stefan Andjelkovic, Natasa Miskov-Zivanov:
DiSH-trend: Intervention Modeling Simulator That Accounts for Trend Influences. - Yik Lung Pang, Alessio Xompero, Changjae Oh, Andrea Cavallaro:
Towards safe human-to-robot handovers of unknown containers. - Reza Asadi, Amelia Regan:
Clustering of Time Series Data with Prior Geographical Information. - Yifan Xing, Tong He, Tianjun Xiao, Yongxin Wang, Yuanjun Xiong, Wei Xia, David Wipf, Zheng Zhang, Stefano Soatto:
Learning Hierarchical Graph Neural Networks for Image Clustering. - Zhenghao Fei, Stavros Vougioukas:
Row-sensing Templates: A Generic 3D Sensor-based Approach to Robot Localization with Respect to Orchard Row Centerlines. - Yating Wen, Tong-Xing Zheng, Yongxia Tong, Hao-Wen Liu, Xin Chen, Pengcheng Mu, Hui-Ming Wang:
Physical Layer Security for NOMA-Enabled Multi-Access Edge Computing Wireless Networks. - Connor Lawless, Oktay Günlük:
Fair Decision Rules for Binary Classification. - Hui Li, Xing Fu, Ruofan Wu, Jinyu Xu, Kai Xiao, Xiaofu Chang, Weiqiang Wang, Shuai Chen, Leilei Shi, Tao Xiong, Yuan Qi:
SHORING: Design Provable Conditional High-Order Interaction Network via Symbolic Testing. - Zhuo Li, Ce Fang, Runqiu Xiao, Zhigao Chen, Wenchao Wang, Yonghong Yan:
The HCCL Speaker Verification System for Far-Field Speaker Verification Challenge. - Nazmul Karim, Nazanin Rahnavard:
SPI-GAN: Towards Single-Pixel Imaging through Generative Adversarial Network. - Cyrus Rashtchian, David P. Woodruff, Peng Ye, Hanlin Zhu:
Average-Case Communication Complexity of Statistical Problems. - Mingliang Bai, Xinyu Zhao, Zhenhua Long, Jinfu Liu, Daren Yu:
Short-term probabilistic photovoltaic power forecast based on deep convolutional long short-term memory network and kernel density estimation. - Jaroslav Hlavác, Martin Kopp, Jan Kohout:
Cluster Representatives Selection in Non-Metric Spaces for Nearest Prototype Classification. - (Withdrawn) Traffic Signal Control with Communicative Deep Reinforcement Learning Agents: a Case Study.
- Vektor Dewanto, Marcus Gallagher:
Examining average and discounted reward optimality criteria in reinforcement learning. - Jong-Yeong Kim, Dong-Wan Choi:
Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network. - Marvin Williams, Peter Sanders, Roman Dementiev:
Engineering MultiQueues: Fast Relaxed Concurrent Priority Queues. - Hao Peng, Pei Chen, Rui Liu, Luonan Chen:
Spatiotemporal convolutional network for time-series prediction and causal inference. - Hakbin Kim, Dong-Wan Choi:
Pool of Experts: Realtime Querying Specialized Knowledge in Massive Neural Networks. - Per Pettersson, Sebastian Krumscheid:
Adaptive stratified sampling for non-smooth problems. - Sandeep Nagar, Marius Dufraisse, Girish Varma:
CInC Flow: Characterizable Invertible 3x3 Convolution. - Yue Jin, Yue Zhang, Tao Qin, Xudong Zhang, Jian Yuan, Houqiang Li, Tie-Yan Liu:
Supervised Off-Policy Ranking. - Indu Joshi, Ayush Utkarsh, Riya Kothari, Vinod K. Kurmi, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra:
Sensor-invariant Fingerprint ROI Segmentation Using Recurrent Adversarial Learning. - Rahma Chaabouni, Roberto Dessì, Eugene Kharitonov:
Can Transformers Jump Around Right in Natural Language? Assessing Performance Transfer from SCAN. - Yang Li, Bangwei She:
On convergence of numerical solutions for the compressible MHD system with exactly divergence-free magnetic field. - Eungyeup Kim, Jungsoo Lee, Juyoung Lee, Jihyeon Lee, Jaegul Choo:
Learning Debiased Representation via Disentangled Feature Augmentation. - Ding Jia, Kai Han, Yunhe Wang, Yehui Tang, Jianyuan Guo, Chao Zhang, Dacheng Tao:
Efficient Vision Transformers via Fine-Grained Manifold Distillation. - Ioannis Argyroulis:
Recent Advancements In Distributed System Communications. - Jianhua Li, Ximeng Liu, Jiong Jin, Shui Yu:
Too Expensive to Attack: Enlarge the Attack Expense through Joint Defense at the Edge. - Wouter Baert, Nick Vannieuwenhoven:
ATC: an Advanced Tucker Compression library for multidimensional data. - Feng Li, Jichao Zhao, Dongxiao Yu, Xiuzhen Cheng, Weifeng Lv:
Harnessing Context for Budget-Limited Crowdsensing with Massive Uncertain Workers. - Yiming Fan, Xiaochuan Tian, Xiu Yang, Xingjie Li, Clayton Webster, Yue Yu:
An asymptotically compatible probabilistic collocation method for randomly heterogeneous nonlocal problems. - Hung Thai Le:
Memory and attention in deep learning. - Peeyush Kumar, Ayushe Gangal, Sunita Kumari, Sunita Tiwari:
Recombinant Sort: N-Dimensional Cartesian Spaced Algorithm Designed from Synergetic Combination of Hashing, Bucket, Counting and Radix Sort. - Yajie Wang, Shangbo Wu, Wenyi Jiang, Shengang Hao, Yu-an Tan, Quanxin Zhang:
Demiguise Attack: Crafting Invisible Semantic Adversarial Perturbations with Perceptual Similarity. - Christopher W. F. Parsonson, Georgios Zervas:
TrafPy: Benchmarking Data Centre Network Systems. - Yaniv Shulman:
Exact Backpropagation in Binary Weighted Networks with Group Weight Transformations. - Santos J. Núñez Jareño, Daniël P. van Helden, Evgeny M. Mirkes, Ivan Yu. Tyukin, Penelope M. Allison:
Learning from scarce information: using synthetic data to classify Roman fine ware pottery. - Wei Jiang, Hans Dieter Schotten:
Cell-Free Massive MIMO-OFDM Transmission over Frequency-Selective Fading Channels. - Wei Jiang, Hans Dieter Schotten:
Impact of Channel Aging on Zero-Forcing Precoding in Cell-Free Massive MIMO Systems. - Bing Lin, Chaowei Lin, Xing Chen, Neal N. Xiong, Qiang Shen:
A Fuzzy Scheduling Strategy for Workflow Decision Making in Uncertain Edge-Cloud Environments. - Lionel Blondé, Alexandros Kalousis:
Where is the Grass Greener? Revisiting Generalized Policy Iteration for Offline Reinforcement Learning. - Amirhossein Nouranizadeh, Mohammadjavad Matinkia, Mohammad Rahmati, Reza Safabakhsh:
Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks. - Wanyun Cui, Sen Yan:
Isotonic Data Augmentation for Knowledge Distillation. - Dong Li, Chaoyu Quan:
The operator-splitting method for Cahn-Hilliard is stable. - Yiqing Ma, Han Tian, Xudong Liao, Junxue Zhang, Weiyan Wang, Kai Chen, Xin Jin:
Multi-Objective Congestion Control. - Konrad K. Dabrowski, Peter Jonsson, Sebastian Ordyniak, George Osipov:
Solving Infinite-Domain CSPs Using the Patchwork Property. - Jinghui Qin, Xiaodan Liang, Yining Hong, Jianheng Tang, Liang Lin:
Neural-Symbolic Solver for Math Word Problems with Auxiliary Tasks. - Fatemeh Mahdavi, Roozbeh Rajabi:
Drone Detection Using Convolutional Neural Networks. - Federico Izzo, Olof Runborg, Richard Tsai:
Corrected trapezoidal rules for singular implicit boundary integrals. - Han Xiao, Tianhang Lu, Qizhi Fang:
Approximate Core Allocations for Multiple Partners Matching Games. - Tingting Bi, Wei Ding, Peng Liang, Antony Tang:
Architecture Information Communication in Two OSS Projects: the Why, Who, When, and What. - Taehee Ko, Xiantao Li:
Stochastic Algorithms for Self-consistent Calculations of Electronic Structures. - Arnu Pretorius, Kale-ab Abebe Tessera, Andries P. Smit, Claude Formanek, St John Grimbly, Kevin Eloff, Siphelele Danisa, Lawrence Francis, Jonathan P. Shock, Herman Kamper, Willie Brink, Herman A. Engelbrecht, Alexandre Laterre, Karim Beguir:
Mava: a research framework for distributed multi-agent reinforcement learning. - Chao-Han Huck Yang, Hu Hu, Sabato Marco Siniscalchi, Qing Wang, Yuyang Wang, Xianjun Xia, Yuanjun Zhao, Yuzhong Wu, Yannan Wang, Jun Du, Chin-Hui Lee:
A Lottery Ticket Hypothesis Framework for Low-Complexity Device-Robust Neural Acoustic Scene Classification. - Sujay Uday Rittikar:
Development of a Conversation State Recognition System. - Ibrahim Sabek, Kapil Vaidya, Dominik Horn, Andreas Kipf, Tim Kraska:
When Are Learned Models Better Than Hash Functions? - Bharat Adsul, Saptarshi Sarkar, A. V. Sreejith:
First-Order logic and its Infinitary Quantifier Extensions over Countable Words. - Zangwei Zheng, Xiangyu Yue, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli:
Scene-aware Learning Network for Radar Object Detection. - Zhaohua Chen, Xiaotie Deng, Wenhan Huang, Hanyu Li, Yuhao Li:
On Tightness of the Tsaknakis-Spirakis Algorithm for Approximate Nash Equilibrium. - Binghui Wang, Jiayi Guo, Ang Li, Yiran Chen, Hai Li:
Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective. - Zhuohang Li, Luyang Liu, Jiaxin Zhang, Jian Liu:
Byzantine-robust Federated Learning through Spatial-temporal Analysis of Local Model Updates. - Gregory Beylkin, Sandeep Sharma:
A fast algorithm for computing the Boys function. - Hejie Cui, Zijie Lu, Pan Li, Carl Yang:
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs. - Ming Li, Pradeep K. Murukannaiah, Catholijn M. Jonker:
A Data-Driven Method for Recognizing Automated Negotiation Strategies. - Shaoduo Gan, Xiangru Lian, Rui Wang, Jianbin Chang, Chengjun Liu, Hongmei Shi, Shengzhuo Zhang, Xianghong Li, Tengxu Sun, Jiawei Jiang, Binhang Yuan, Sen Yang, Ji Liu, Ce Zhang:
BAGUA: Scaling up Distributed Learning with System Relaxations. - Onder Erin, Xiaolong Liu, Jiawei Ge, Lamar O. Mair, Yotam Barnoy, Yancy Diaz-Mercado, Axel Krieger:
Overcoming the Force Limitations of Magnetic Robotic Surgery: Impact-based Tetherless Suturing. - Anish Bhattacharya, Akshit Gandhi, Lukas Merkle, Rohan Tiwari, Karun Warrior, Stanley Winata, Andrew Saba, Kevin Zhang, Oliver Kroemer, Sebastian A. Scherer:
Carnegie Mellon Team Tartan: Mission-level Robustness with Rapidly Deployed Autonomous Aerial Vehicles in the MBZIRC 2020. - Max Simchowitz, Christopher Tosh, Akshay Krishnamurthy, Daniel Hsu, Thodoris Lykouris, Miroslav Dudík, Robert E. Schapire:
Bayesian decision-making under misspecified priors with applications to meta-learning. - Sai Mitheran, Abhinav Java, Surya Kant Sahu, Arshad Shaikh:
Improved Representation Learning for Session-based Recommendation. - Lirui Wang, Yu Xiang, Dieter Fox:
Hierarchical Policies for Cluttered-Scene Grasping with Latent Plans. - Hengzhao Ma, Jianzhong Li:
The PCP-like Theorem for Sub-linear Time Inapproximability. - Hongwei Zhang, Weidong Zou, Hongbo Zhao, Qi Ming, Tijin Yan, Yuanqing Xia, Weipeng Cao:
AdaL: Adaptive Gradient Transformation Contributes to Convergences and Generalizations. - Jiexia Ye, Furong Zheng, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu:
Incorporating Reachability Knowledge into a Multi-Spatial Graph Convolution Based Seq2Seq Model for Traffic Forecasting. - Shahpar Yakhchi:
Learning Complex Users' Preferences for Recommender Systems. - Hiram H. López, Gretchen L. Matthews, Daniel Valvo:
Erasures repair for decreasing monomial-Cartesian and augmented Reed-Muller codes of high rate. - Hossein Rouhizadeh, Mehrnoush Shamsfard, Vahideh Tajalli, Masoud Rouhizadeh:
Persian-WSD-Corpus: A Sense Annotated Corpus for Persian All-words Word Sense Disambiguation. - Gershom Bazerman:
The Semantics of Package Management via Event Structures. - Chao Zhang, Wenqiang Yi, Yuanwei Liu, Zhiguo Ding, Lingyang Song:
STAR-IOS Aided NOMA Networks: Channel Model Approximation and Performance Analysis. - Chantal Keller, Mathias Fleury:
Proceedings Seventh Workshop on Proof eXchange for Theorem Proving, PxTP 2021, Pittsburg, PA, USA, July 11, 2021. - Zhihao Wang, Yanwei Yu, Yibo Wang, Haixu Long, Fazheng Wang:
Robust End-to-End Offline Chinese Handwriting Text Page Spotter with Text Kernel. - Mingbo Hong, Shuiwang Li, Yuchao Yang, Feiyu Zhu, Qijun Zhao, Li Lu:
SSPNet: Scale Selection Pyramid Network for Tiny Person Detection from UAV Images. - Ryo Masumura, Daiki Okamura, Naoki Makishima, Mana Ihori, Akihiko Takashima, Tomohiro Tanaka, Shota Orihashi:
Unified Autoregressive Modeling for Joint End-to-End Multi-Talker Overlapped Speech Recognition and Speaker Attribute Estimation. - Sandeep Kumar Singh, Jaya Shradha Fowdur, Jakob Gawlikowski, Daniel Medina:
Leveraging Evidential Deep Learning Uncertainties with Graph-based Clustering to Detect Anomalies. - Hui Lin, Xiaopeng Hong, Zhiheng Ma, Xing Wei, Yunfeng Qiu, Yaowei Wang, Yihong Gong:
Direct Measure Matching for Crowd Counting. - Ao Liu, Lirong Xia:
Smoothed Differential Privacy. - Cheng Zhong, Huayi Li, Yang Zhou, Yueming Lv, Jikai Chen, Yang Li:
Virtual synchronous generator of PV generation without energy storage for frequency support in autonomous microgrid. - Ao Liu, Xiaoyu Chen, Sijia Liu, Lirong Xia, Chuang Gan:
Certifiably Robust Interpretation via Renyi Differential Privacy. - Orna Kupferman, Nir Lavee, Salomon Sickert:
Certifying DFA Bounds for Recognition and Separation. - Tomohiro Tanaka, Ryo Masumura, Mana Ihori, Akihiko Takashima, Takafumi Moriya, Takanori Ashihara, Shota Orihashi, Naoki Makishima:
Cross-Modal Transformer-Based Neural Correction Models for Automatic Speech Recognition. - Reuben Kirkham, Benjamin Tannert:
Using Computer Simulations to Investigate the Potential Performance of 'A to B' Routing Systems for People with Mobility Impairments. - Zhiqi Huang, Fenglin Liu, Xian Wu, Shen Ge, Helin Wang, Wei Fan, Yuexian Zou:
Audio-Oriented Multimodal Machine Comprehension: Task, Dataset and Model. - Pablo D. Brubeck, Lloyd N. Trefethen:
Lightning Stokes solver. - Ahmed Ali, Shammur Absar Chowdhury, Amir Hussein, Yasser Hifny:
Arabic Code-Switching Speech Recognition using Monolingual Data. - Stefano Costa, Lloyd N. Trefethen:
AAA-least squares rational approximation and solution of Laplace problems. - Linqing Zhao, Jiwen Lu, Jie Zhou:
Similarity-Aware Fusion Network for 3D Semantic Segmentation. - Oussama Abdul Hay, Mohamad Chehadeh, Abdulla Ayyad, Mohamad Wahbah, Muhammad Humais, Yahya H. Zweiri:
Unified Identification and Tuning Approach Using Deep Neural Networks For Visual Servoing Applications. - Jiawei Sheng, Shu Guo, Bowen Yu, Qian Li, Yiming Hei, Lihong Wang, Tingwen Liu, Hongbo Xu:
CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction. - Luxi Xing, Yue Hu, Jing Yu, Yuqiang Xie, Wei Peng:
Coarse-to-Careful: Seeking Semantic-related Knowledge for Open-domain Commonsense Question Answering. - Nicolai Kraus, Jakob von Raumer:
A Rewriting Coherence Theorem with Applications in Homotopy Type Theory. - Saeed Hadikhanloo, Rida Laraki, Panayotis Mertikopoulos, Sylvain Sorin:
Learning in nonatomic games, Part I: Finite action spaces and population games. - Sadia Tasnuva Pritha, Rahnuma Tasnim, Muhammad Ashad Kabir, Sumaiya Amin, Anik Das:
A Systematic Review of Mobile Apps for Child Sexual Abuse Education: Limitations and Design Guidelines. - Mohammad Rostami, Aram Galstyan:
Domain Adaptation for Sentiment Analysis Using Increased Intraclass Separation. - Oliver Stengele, Markus Raiber, Jörn Müller-Quade, Hannes Hartenstein:
ETHTID: Deployable Threshold Information Disclosure on Ethereum. - Shaolin Lü:
Graphical State Space Model. - Eric Hallman, Ilse C. F. Ipsen:
Deterministic and Probabilistic Error Bounds for Floating Point Summation Algorithms. - Pratik K. Bajaria:
Synchronization Strategies for Multi-agent Networked Control Systems. - Geir Kjetil Nilsen, Antonella Zanna Munthe-Kaas, Hans J. Skaug, Morten Brun:
A Comparison of the Delta Method and the Bootstrap in Deep Learning Classification. - Eloi Araujo, Luiz C. S. Rozante, Diego P. Rubert, Fábio Viduani Martinez:
Algorithms for normalized multiple sequence alignments. - Hendrik Molter:
The Complexity of Finding Temporal Separators under Waiting Time Constraints. - Wenshuo Guo, Fangwei Fu:
Expanded Gabidulin Codes and Their Application to Cryptography. - Klaus Jansen, Malin Rau:
Closing the gap for single resource constraint scheduling. - Marija Jegorova, Chaitanya Kaul, Charlie Mayor, Alison Q. O'Neil, Alexander Weir, Roderick Murray-Smith, Sotirios A. Tsaftaris:
Survey: Leakage and Privacy at Inference Time. - Ralph Foorthuis:
A Typology of Data Anomalies. - Michael Franklin Bosu, Stephen G. MacDonell, Peter A. Whigham:
Analyzing the Stationarity Process in Software Effort Estimation Datasets. - Eungyeup Kim, Sanghyeon Lee, Jeonghoon Park, Somi Choi, Choonghyun Seo, Jaegul Choo:
Deep Edge-Aware Interactive Colorization against Color-Bleeding Effects. - Rakesh Nagaraju, Mark Stamp:
Auxiliary-Classifier GAN for Malware Analysis. - Edward McDaid, Sarah McDaid:
The Composability of Intermediate Values in Composable Inductive Programming. - Xueying Zhan, Qing Li, Antoni B. Chan:
Multiple-criteria Based Active Learning with Fixed-size Determinantal Point Processes. - Aurélie Breidenbach, Caroline Mahlow, Andreas Schreiber:
Implicit Gender Bias in Computer Science - A Qualitative Study. - Lolitha Sresta Tupadha, Mark Stamp:
Machine Learning for Malware Evolution Detection. - G. Dumindu Samaraweera, J. Morris Chang:
SEC-NoSQL: Towards Implementing High Performance Security-as-a-Service for NoSQL Databases. - Gal Shachaf, Alon Brutzkus, Amir Globerson:
A Theoretical Analysis of Fine-tuning with Linear Teachers. - Xin Wang, Xin Peng, Jun Sun, Yifan Zhao, Chi Chen, Jinkai Fan:
A Topic Guided Pointer-Generator Model for Generating Natural Language Code Summaries. - Hau Chan, Minming Li, Chenhao Wang:
Facility Location Games with Ordinal Preferences. - Weiming Zhi, Tin Lai, Lionel Ott, Edwin V. Bonilla, Fabio Ramos:
Learning ODEs via Diffeomorphisms for Fast and Robust Integration. - Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, Martin C. Cooper, Nicholas Asher, João Marques-Silva:
Efficient Explanations for Knowledge Compilation Languages. - Yang Li, Tong Chen, Zi Huang:
Attribute-aware Explainable Complementary Clothing Recommendation. - Baban Gain, Dibyanayan Bandyopadhyay, Asif Ekbal:
IITP at WAT 2021: System description for English-Hindi Multimodal Translation Task. - Patrick Kage, Pavlos Andreadis:
Class Introspection: A Novel Technique for Detecting Unlabeled Subclasses by Leveraging Classifier Explainability Methods. - Matthias Stürmer, Jasmin Nussbaumer, Pascal Stöckli:
Security implications of digitalization: The dangers of data colonialism and the way towards sustainable and sovereign management of environmental data. - Christopher Yu, Caleb Brakensiek, Henrik Schumacher, Keenan Crane:
Repulsive Surfaces. - Nicolò Botteghi, Khaled Alaa, Mannes Poel, Beril Sirmaçek, Christoph Brune, Abeje Y. Mersha, Stefano Stramigioli:
Low Dimensional State Representation Learning with Robotics Priors in Continuous Action Spaces. - Ariel Caputo, Andrea Giachetti, Salwa Abkal, Chiara Marchesini, Massimo Zancanaro:
Real vs Simulated Foveated Rendering to Reduce Visual Discomfort in Virtual Reality. - Xuejiao Tang, Xin Huang, Wenbin Zhang, Travers B. Child, Qiong Hu, Zhen Liu, Ji Zhang:
Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory. - Arindam Biswas, Venkatesh Raman:
Sublinear-Space Approximation Algorithms for Max r-SAT. - Changjie Chen, Jasmeet Judge, David W. Hulse:
PyLUSAT: An open-source Python toolkit for GIS-based land use suitability analysis. - Nicolò Botteghi, Mannes Poel, Beril Sirmaçek, Christoph Brune:
Low-Dimensional State and Action Representation Learning with MDP Homomorphism Metrics. - Md. Morshed Alam, Weichao Wang:
A Comprehensive Survey on the State-of-the-art Data Provenance Approaches for Security Enforcement. - Stefan Kiefer, Pavel Semukhin, Cas Widdershoven:
Linear-Time Model Checking Branching Processes. - Jackson A. Killian, Lily Xu, Arpita Biswas, Milind Tambe:
Robust Restless Bandits: Tackling Interval Uncertainty with Deep Reinforcement Learning. - Haohang Xu, Jiemin Fang, Xiaopeng Zhang, Lingxi Xie, Xinggang Wang, Wenrui Dai, Hongkai Xiong, Qi Tian:
Bag of Instances Aggregation Boosts Self-supervised Learning. - Michel Broniatowski, Wolfgang Stummer:
A precise bare simulation approach to the minimization of some distances. Foundations. - Idris Kempf, Paul J. Goulart, Stephen R. Duncan:
Model Predictive Control for Electron Beam Stabilization in a Synchrotron. - Tuan Manh Lai, Trung Bui, Doo Soon Kim:
End-to-end Neural Coreference Resolution Revisited: A Simple yet Effective Baseline. - Grzegorz Dudek:
Data-Driven Learning of Feedforward Neural Networks with Different Activation Functions. - Grzegorz Dudek:
Randomized Neural Networks for Forecasting Time Series with Multiple Seasonality. - Rasheed el-Bouri, Tingting Zhu, David A. Clifton:
Towards Scheduling Federated Deep Learning using Meta-Gradients for Inter-Hospital Learning. - Paul Staat, Harald Elders-Boll, Markus Heinrichs, Christian T. Zenger, Christof Paar:
Mirror Mirror on the Wall: Wireless Environment Reconfiguration Attacks Based on Fast Software-Controlled Surfaces. - Grzegorz Dudek:
Autoencoder based Randomized Learning of Feedforward Neural Networks for Regression. - Kaiyan Peng, Zheng Lu, Vanessa Lin, Michael R. Lindstrom, Christian Parkinson, Chuntian Wang, Andrea L. Bertozzi, Mason A. Porter:
A Multilayer Network Model of the Coevolution of the Spread of a Disease and Competing Opinions. - Assaf Hallak, Gal Dalal, Steven Dalton, Iuri Frosio, Shie Mannor, Gal Chechik:
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction. - Canze Zhu, Qunying Liao:
The b-weight distribution for MDS codes. - Karl Bringmann, Alejandro Cassis, Nick Fischer, Marvin Künnemann:
Fine-Grained Completeness for Optimization in P. - Liren Yang, Necmiye Ozay:
Scalable Zonotopic Under-approximation of Backward Reachable Sets for Uncertain Linear Systems. - Pantea Kiaei, Yuan Yao, Patrick Schaumont:
Real-time Detection and Adaptive Mitigation of Power-based Side-Channel Leakage in SoC. - Vladimir Vovk, Ivan Petej, Alex Gammerman:
Adaptive calibration for binary classification. - Thomas Miconi:
Multi-layer Hebbian networks with modern deep learning frameworks. - Anish Bhattacharya:
Toward Increased Airspace Safety: Quadrotor Guidance for Targeting Aerial Objects. - Abdulaziz M. Alqarni, Thomas G. Robertazzi:
Cloud Versus Local Processing in Distributed Networks. - J. Gregory Pauloski, Qi Huang, Lei Huang, Shivaram Venkataraman, Kyle Chard, Ian T. Foster, Zhao Zhang:
KAISA: An Adaptive Second-order Optimizer Framework for Deep Neural Networks. - Max A. Little, Ugur Kayas:
Polymorphic dynamic programming by algebraic shortcut fusion. - Zizhou Su:
The Least Restriction for Offline Reinforcement Learning. - Jaeseung Lee, Woojin Choi, Jibum Kim:
Learning Delaunay Triangulation using Self-attention and Domain Knowledge. - Taichi Murayama, Shoko Wakamiya, Eiji Aramaki:
Single Model for Influenza Forecasting of Multiple Countries by Multi-task Learning. - Tianxing Sun, Shaohang Xu, Zirui Li, Yingqi Tan, Huiyan Chen:
Energy Management Strategy for Unmanned Tracked Vehicles Based on Local Speed Planning. - A. Koegel, C. Furet, T. Suzuki, Yuri Klebanov, J. Hu, Tobias Kappeler, D. Okazaki, K. Matsui, Toshihiro Hiraoka, Keisuke Shimono, K. Nakano, Kentaro Honma, Miles Pennington:
Exploration of increasing drivers trust in a semi-autonomous vehicle through real time visualizations of collaborative driving dynamic. - Alvin Jian Jia Tan, Chun Yong Chong, Aldeida Aleti:
E-SC4R: Explaining Software Clustering for Remodularisation. - Zhiwei Lin, Yongtao Wang, Hongxiang Lin:
Continual Contrastive Self-supervised Learning for Image Classification. - Wenbo Zhang, Ge-Peng Ji, Zhuo Wang, Keren Fu, Qijun Zhao:
Depth Quality-Inspired Feature Manipulation for Efficient RGB-D Salient Object Detection. - Tidor-Vlad Pricope:
A contextual analysis of multi-layer perceptron models in classifying hand-written digits and letters: limited resources. - Robin Karlsson, David Robert Wong, Simon Thompson, Kazuya Takeda:
Learning a Model for Inferring a Spatial Road Lane Network Graph using Self-Supervision. - Kenji Yasunaga:
Improved Asymptotic Bounds for Codes Correcting Insertions and Deletions. - Jun Wang, Chao Jin, Souhail Meftah, Khin Mi Mi Aung:
Popcorn: Paillier Meets Compression For Efficient Oblivious Neural Network Inference. - Dongbao Yang, Yu Zhou, Weiping Wang:
Multi-View Correlation Distillation for Incremental Object Detection. - Mingyue Han, Yinglin Wang:
Doing Good or Doing Right? Exploring the Weakness of Commonsense Causal Reasoning Models. - Bonhong Koo, Changmin Lee, Ali Emre Pusane, Tuna Tugcu, Chan-Byoung Chae:
MIMO Operations in Molecular Communications: Theory, Prototypes, and Open Challenges. - Isaac J. Sledge, José C. Príncipe:
An Information-Theoretic Approach for Automatically Determining the Number of States when Aggregating Markov Chains. - Shyam Narayanan, Sandeep Silwal, Piotr Indyk, Or Zamir:
Randomized Dimensionality Reduction for Facility Location and Single-Linkage Clustering. - Huanhai Xin, Kehao Zhuang, Pengfei Hu, Yunjie Gu, Ping Ju:
Dual Synchronous Generator: Inertial Current Source based Grid-Forming Solution for VSC. - Ron Bitton, Nadav Maman, Inderjeet Singh, Satoru Momiyama, Yuval Elovici, Asaf Shabtai:
A Framework for Evaluating the Cybersecurity Risk of Real World, Machine Learning Production Systems. - Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
Q-SpiNN: A Framework for Quantizing Spiking Neural Networks. - Sahib Singh, Rosanne Liu:
Why is Pruning at Initialization Immune to Reinitializing and Shuffling? - Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu:
Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks. - Bilwasiva Basu Mallick, Ashutosh Bhatia:
Comparative Analysis of Impact of Cryptography Algorithms on Wireless Sensor Networks. - Stephen Xi Chen, Saurajit Mukherjee, Unmesh Phadke, Tingting Wang, Junwon Park, Ravi Theja Yada:
Web-Scale Generic Object Detection at Microsoft Bing. - Brae J. Webb, Mark Utting, Ian J. Hayes:
A Formal Semantics of the GraalVM Intermediate Representation. - Frank de Hoog, Markus Hegland:
A Note on Error Bounds for Pseudo Skeleton Approximations of Matrices. - Alfred Ultsch, Jörg Hoffmann, Maximilian Röhnert, Malte Von Bonin, Uta Oelschlägel, Cornelia Brendel, Michael C. Thrun:
An Explainable AI System for the Diagnosis of High Dimensional Biomedical Data. - Agathe Balayn, Bogdan Kulynych, Seda F. Gürses:
Exploring Data Pipelines through the Process Lens: a Reference Model forComputer Vision. - Yao Yao, Li Xiao, Zhicheng An, Wanpeng Zhang, Dijun Luo:
Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation. - Yoojin Oh, Marc Toussaint, Jim Mainprice:
A System for Traded Control Teleoperation of Manipulation Tasks using Intent Prediction from Hand Gestures. - Shaofeng Cai, Kaiping Zheng, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang:
ARM-Net: Adaptive Relation Modeling Network for Structured Data. - Xin Liu, Zhisong Pan:
Provable Convergence of Nesterov Accelerated Method for Over-Parameterized Neural Networks. - Jixiang Zhang, Yinfei Xu:
Age of Information in Relay-Assisted Status Updating Systems. - Juliette Achddou, Olivier Cappé, Aurélien Garivier:
Fast Rate Learning in Stochastic First Price Bidding. - Janik M. Hager, Ruben Bauer, Marc Toussaint, Jim Mainprice:
GraspME - Grasp Manifold Estimator. - Shinya Aoi, Ryoe Tomatsu, Yuki Yabuuchi, Soichiro Fujiki, Kei Senda, Kazuo Tsuchiya:
Advanced turning maneuver of a multi-legged robot using pitchfork bifurcation. - Alain Rakotomamonjy, Liva Ralaivola:
Differentially Private Sliced Wasserstein Distance. - Erika Covi, Quang T. Duong, Suzanne Lancaster, Viktor Havel, Jean Coignus, Justine Barbot, Ole Richter, Philipp Klein, Elisabetta Chicca, Laurent Grenouillet, Athanasios Dimoulas, Thomas Mikolajick, Stefan Slesazeck:
Ferroelectric Tunneling Junctions for Edge Computing. - Ke Ma, Qianqian Xu, Jinshan Zeng, Xiaochun Cao, Qingming Huang:
Poisoning Attack against Estimating from Pairwise Comparisons. - Michael Schlechtinger, Damaris Kosack, Heiko Paulheim, Thomas Fetzer:
Winning at Any Cost - Infringing the Cartel Prohibition With Reinforcement Learning. - Sebastian Berns, Terence Broad, Christian Guckelsberger, Simon Colton:
Automating Generative Deep Learning for Artistic Purposes: Challenges and Opportunities. - Jialun Zhang, Yi Wang, Gabriela Hug:
Cost-Oriented Load Forecasting. - Viktor Wiberg, Erik Wallin, Martin Servin, Tomas Nordfjell:
Control of rough terrain vehicles using deep reinforcement learning. - Rania Briq, Pratika Kochar, Juergen Gall:
Towards Better Adversarial Synthesis of Human Images from Text. - Ayed M. Alrashdi, Abdullah E. Alrashdi, Mohamed A. H. Eleiwa:
Optimum GSSK Transmission in Massive MIMO Systems Using the Box-LASSO Decoder. - Oliver Karras, Alexandra Risch, Jil Klünder:
Linking Use Cases and Associated Requirements: A Replicated Eye Tracking Study on the Impact of Linking Variants on Reading Behavior. - Chuan Tang, Xi Yang, Bojian Wu, Zhizhong Han, Yi Chang:
Part2Word: Learning Joint Embedding of Point Clouds and Text by Matching Parts to Words. - Lucas Baier, Tim Schlör, Jakob Schöffer, Niklas Kühl:
Detecting Concept Drift With Neural Network Model Uncertainty. - Lanqing Xue, Kaitao Song, Duocai Wu, Xu Tan, Nevin L. Zhang, Tao Qin, Wei-Qiang Zhang, Tie-Yan Liu:
DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling. - Francesco Manigrasso, Filomeno Davide Miro, Lia Morra, Fabrizio Lamberti:
Faster-LTN: a neuro-symbolic, end-to-end object detection architecture. - Tim van Erven, Sarah Sachs, Wouter M. Koolen, Wojciech Kotlowski:
Robust Online Convex Optimization in the Presence of Outliers. - Sandro Stucki, Paolo G. Giarrusso:
A Theory of Higher-Order Subtyping with Type Intervals (Extended Version). - Yong Joon Thoo, Jérémy Maceiras, Philip Abbet, Mattia Racca, Hakan Girgin, Sylvain Calinon:
Online and Offline Robot Programming via Augmented Reality Workspaces. - Bi'an Du, Xiang Gao, Wei Hu, Xin Li:
Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning. - Alexander Kiefer, Md. Khaledur Rahman:
An Analytical Survey on Recent Trends in High Dimensional Data Visualization. - Liu Liu, Bo Zhang, Jiangtong Li, Li Niu, Qingyang Liu, Liqing Zhang:
OPA: Object Placement Assessment Dataset. - Weiyue Su, Zeyang Fang, Hui Zhong, Huijuan Wang, Siming Dai, Zhengjie Huang, Yunsheng Shi, Shikun Feng, Zeyu Chen:
NOTE: Solution for KDD-CUP 2021 WikiKG90M-LSC. - Pooya Rostami Mazrae, Maliheh Izadi, Abbas Heydarnoori:
Automated Recovery of Issue-Commit Links Leveraging Both Textual and Non-textual Data. - Yipeng Zhou, Xuezheng Liu, Yao Fu, Di Wu, Chao Li, Shui Yu:
Optimizing the Numbers of Queries and Replies in Federated Learning with Differential Privacy. - Wenjing Bian, Zirui Wang, Kejie Li, Victor Adrian Prisacariu:
Ray-ONet: Efficient 3D Reconstruction From A Single RGB Image. - Minkyo Seo, Yoonho Lee, Suha Kwak:
On The Distribution of Penultimate Activations of Classification Networks. - Haocong Rao, Xiping Hu, Jun Cheng, Bin Hu:
SM-SGE: A Self-Supervised Multi-Scale Skeleton Graph Encoding Framework for Person Re-Identification. - Muhammad Rizki Maulana, Wee Sun Lee:
Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement Learning. - Hans Weytjens, Jochen De Weerdt:
Creating Unbiased Public Benchmark Datasets with Data Leakage Prevention for Predictive Process Monitoring.