default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDCoRR, April 2021
- Yawar Siddiqui, Justus Thies, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai:
RetrievalFuse: Neural 3D Scene Reconstruction with a Database. - Matthias Kaiser, Tatjana Buklijas, Peter D. Gluckman:
Models and numbers: Representing the world or imposing order? - Tien-Ju Yang, Yi-Lun Liao, Vivienne Sze:
NetAdaptV2: Efficient Neural Architecture Search with Fast Super-Network Training and Architecture Optimization. - Moritz Böhle, Mario Fritz, Bernt Schiele:
Convolutional Dynamic Alignment Networks for Interpretable Classifications. - Zuguang Gao, John R. Birge, Varun Gupta:
Approximation Schemes for Multiperiod Binary Knapsack Problems. - Tamer Ölmez, Zümray Dokur:
Strengthening the Training of Convolutional Neural Networks By Using Walsh Matrix. - Jason S. Hoffman, Varun K. Viswanath, Xinyi Ding, Matthew J. Thompson, Eric C. Larson, Shwetak N. Patel, Edward Jay Wang:
Smartphone Camera Oximetry in an Induced Hypoxemia Study. - Allahsera Auguste Tapo, Michael Leventhal, Sarah Luger, Christopher M. Homan, Marcos Zampieri:
Domain-specific MT for Low-resource Languages: The case of Bambara-French. - Christian Stewart
:
SkiffOS: Minimal Cross-compiled Linux for Embedded Containers. - Ryan Hoque, Ashwin Balakrishna, Carl Putterman, Michael Luo, Daniel S. Brown, Daniel Seita, Brijen Thananjeyan, Ellen R. Novoseller, Ken Goldberg:
LazyDAgger: Reducing Context Switching in Interactive Imitation Learning. - Daniel Deutsch, Rotem Dror, Dan Roth:
A Statistical Analysis of Summarization Evaluation Metrics using Resampling Methods. - Amit Roy, Kashob Kumar Roy, Amin Ahsan Ali, M. Ashraful Amin, A. K. M. Mahbubur Rahman:
SST-GNN: Simplified Spatio-temporal Traffic forecasting model using Graph Neural Network. - Zeinab Azadeh Kermansaravi, Md. Saidur Rahman, Foutse Khomh, Fehmi Jaafar, Yann-Gaël Guéhéneuc:
Investigating Design Anti-pattern and Design Pattern Mutations and Their Change- and Fault-proneness. - Atul Ingle, Trevor Seets, Mauro Buttafava, Shantanu Gupta, Alberto Tosi, Mohit Gupta, Andreas Velten:
Passive Inter-Photon Imaging. - Jingkai Chen, Yuening Zhang, Cheng Fang, Brian C. Williams:
Generalized Conflict-directed Search for Optimal Ordering Problems. - Junheng Li, Quan Nguyen:
Force-and-moment-based Model Predictive Control for Achieving Highly Dynamic Locomotion on Bipedal Robots. - Khoi Nguyen, Sinisa Todorovic:
FAPIS: A Few-shot Anchor-free Part-based Instance Segmenter. - Mehdi Naderi Soorki, Walid Saad, Mehdi Bennis, Choong Seon Hong:
Ultra-Reliable Indoor Millimeter Wave Communications using Multiple Artificial Intelligence-Powered Intelligent Surfaces. - Jiyo Palatti, Andrei Aksjonov, Gokhan Alcan, Ville Kyrki:
Planning for Safe Abortable Overtaking Maneuvers in Autonomous Driving. - Mengxi Li, Alper Canberk, Dylan P. Losey, Dorsa Sadigh:
Learning Human Objectives from Sequences of Physical Corrections. - Li Zhang, Faezeh Tafazzoli, Gunther Krehl, Runsheng Xu, Timo Rehfeld, Manuel Schier, Arunava Seal:
Hierarchical Road Topology Learning for Urban Map-less Driving. - Hudson Martins Silva Bruno, Esther Luna Colombini:
A comparative evaluation of learned feature descriptors on hybrid monocular visual SLAM methods. - Carine Rognon, Taylor Bunge, Meiyuzi Gao, Chip Conor, Benjamin Stephens-Fripp, Casey Brown, Ali Israr:
An Online Survey on the Perception of Mediated Social Touch Interaction and Device Design. - Yupeng Fu, Chinmay Soman:
Real-time Data Infrastructure at Uber. - Sebastian Meznar, Nada Lavrac, Blaz Skrlj:
Transfer Learning for Node Regression Applied to Spreading Prediction. - Xiaodong Wei:
THU-Splines: Highly Localized Refinement on Smooth Unstructured Splines. - Lea A. Shanley, Lucy Fortson, Tanya Y. Berger-Wolf, Kevin Crowston, Pietro Michelucci:
Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research. - Christina N. Harrington, Ben Jelen, Amanda Lazar, Aqueasha Martin-Hammond, Alisha Pradhan, Blaine Reeder, Katie A. Siek:
Taking Stock of the Present and Future of Smart Technologies for Older Adults and Caregivers. - Devansh Jalota, Kiril Solovey, Stephen Zoepf, Marco Pavone:
Balancing Fairness and Efficiency in Traffic Routing via Interpolated Traffic Assignment. - Hudson Martins Silva Bruno, Esther Luna Colombini:
LIFT-SLAM: a deep-learning feature-based monocular visual SLAM method. - Shuo Han, Samuel Remedios, Aaron Carass, Michael Schär, Jerry L. Prince:
MR Slice Profile Estimation by Learning to Match Internal Patch Distributions. - Xiao Tan, Wenceslao Shaw-Cortez, Dimos V. Dimarogonas:
High-order Barrier Functions: Robustness, Safety and Performance-Critical Control. - Jason Li, Danupon Nanongkai, Debmalya Panigrahi, Thatchaphol Saranurak, Sorrachai Yingchareonthawornchai:
Vertex Connectivity in Poly-logarithmic Max-flows. - Aviral Joshi, Chengzhi Huang, Har Simrat Singh:
Zero-Shot Language Transfer vs Iterative Back Translation for Unsupervised Machine Translation. - Abhinav Khattar, Aviral Joshi, Har Simrat Singh, Pulkit Goel, Rohit Prakash Barnwal:
Analysis on Image Set Visual Question Answering. - Peipei Lu, Andreas Rupp, Guido Kanschat:
Analysis of injection operators in multigrid solvers for hybridized discontinuous Galerkin methods. - Zachary E. Lee, K. Max Zhang:
Generalized Reinforcement Learning for Building Control using Behavioral Cloning. - Peter Nabende, David Kabiito, Claire Babirye, Hewitt Tusiime, Joyce Nakatumba-Nabende:
Misinformation detection in Luganda-English code-mixed social media text. - Farnoosh Faraji, Faraz Lotfi, Javad Khorramdel, Ali Najafi, Ali Ghaffari:
Drowsiness Detection Based On Driver Temporal Behavior Using a New Developed Dataset. - Thomas Beckers, Sandra Hirche, Leonardo Colombo:
Safe Online Learning-based Formation Control of Multi-Agent Systems with Gaussian Processes. - Chien-Lun Chen, Leana Golubchik, Ranjan Pal:
Achieving Transparency Report Privacy in Linear Time. - Yufeng Chen:
NodeSRT: A Selective Regression Testing Tool for Node.js Application. - Gonzalo Gabriel Méndez, Luis Galárraga, Katherine Chiluiza:
Showing Academic Performance Predictions during Term Planning: Effects on Students' Decisions, Behaviors, and Preferences. - Vitor Guizilini, Igor Vasiljevic, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon:
Full Surround Monodepth from Multiple Cameras. - Nikos Katzouris, Alexander Artikis, Georgios Paliouras:
Online Learning Probabilistic Event Calculus Theories in Answer Set Programming. - Daniel Reusche, Nicolás Della Penna:
Towards Prior-Free Approximately Truthful One-Shot Auction Learning via Differential Privacy. - Andres Baloian, Nils Murrugarra-Llerena, José M. Saavedra:
Scalable Visual Attribute Extraction through Hidden Layers of a Residual ConvNet. - Faraz Torabi, Garrett Warnell, Peter Stone:
DEALIO: Data-Efficient Adversarial Learning for Imitation from Observation. - Fatoumata Dama, Christine Sinoquet:
Analysis and modeling to forecast in time series: a systematic review. - Kenneth Michael Stewart, Andreea Danielescu, Lazar Supic, Timothy M. Shea, Emre Neftci:
Gesture Similarity Analysis on Event Data Using a Hybrid Guided Variational Auto Encoder. - Samuel C. Pinto, Sean B. Andersson, Julien M. Hendrickx, Christos G. Cassandras:
A Semidefinite Programming Approach to Discrete-time Infinite Horizon Persistent Monitoring. - Muhyun Back, Jinkyu Lee, Kyuho Bae, Sung Soo Hwang, Il Yong Chun:
Improved and efficient inter-vehicle distance estimation using road gradients of both ego and target vehicles. - Robik Shrestha, Kushal Kafle, Christopher Kanan:
An Investigation of Critical Issues in Bias Mitigation Techniques. - Muhammad Abubakar Alhassan, Isa Inuwa-Dutse, Bello Shehu Bello, Diane Rasmussen Pennington:
Self-harm: detection and support on Twitter. - Abhishek Ninad Kulkarni, Shuo Han, Nandi O. Leslie, Charles A. Kamhoua, Jie Fu:
Qualitative Planning in Imperfect Information Games with Active Sensing and Reactive Sensor Attacks: Cost of Unawareness. - Samrudhdhi B. Rangrej, James J. Clark:
Visual Attention in Imaginative Agents. - Sian Jin, Jesus Pulido, Pascal Grosset, Jiannan Tian, Dingwen Tao, James P. Ahrens:
Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling. - Chunhui Liu, Xinyu Li, Hao Chen, Davide Modolo, Joseph Tighe:
Selective Feature Compression for Efficient Activity Recognition Inference. - Md. Ahasanuzzaman, Safwat Hassan, Ahmed E. Hassan:
Studying Ad Library Integration Strategies of Top Free-to-Download Apps. - Douglas N. Arnold, Johnny Guzmán:
Local L2-bounded commuting projections in FEEC. - Samuel Felipe dos Santos, Jurandy Almeida:
Less is More: Accelerating Faster Neural Networks Straight from JPEG. - Zixun Lan, Limin Yu, Linglong Yuan, Zili Wu, Qiang Niu, Fei Ma:
Sub-GMN: The Subgraph Matching Network Model. - Mohammed I. Abouheaf, Wail Gueaieb, Md. Suruz Miah, Davide Spinello:
Trajectory Tracking of Underactuated Sea Vessels With Uncertain Dynamics: An Integral Reinforcement Learning Approach. - Zishen Wan, Yuyang Zhang, Arijit Raychowdhury, Bo Yu, Yanjun Zhang, Shaoshan Liu:
An Energy-Efficient Quad-Camera Visual System for Autonomous Machines on FPGA Platform. - Peng Chu, Jiang Wang, Quanzeng You, Haibin Ling, Zicheng Liu:
TransMOT: Spatial-Temporal Graph Transformer for Multiple Object Tracking. - Wenhan Wang, Ge Li, Sijie Shen, Xin Xia, Zhi Jin:
Modular Tree Network for Source Code Representation Learning. - Farah Ferdaus, Bashir M. Sabquat Bahar Talukder, Mehdi Sadi, Md. Tauhidur Rahman:
True Random Number Generation using Latency Variations of Commercial MRAM Chips. - Ning Wang, Mohammed I. Abouheaf, Wail Gueaieb:
Data-Driven Optimized Tracking Control Heuristic for MIMO Structures: A Balance System Case Study. - Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim:
Graph-Based Intercategory and Intermodality Network for Multilabel Classification and Melanoma Diagnosis of Skin Lesions in Dermoscopy and Clinical Images. - Junhui Yin, Jiayan Qiu, Siqing Zhang, Jiyang Xie, Zhanyu Ma, Jun Guo:
Unsupervised Person Re-identification via Simultaneous Clustering and Consistency Learning. - Marina Haliem, Vaneet Aggarwal, Bharat K. Bhargava:
AdaPool: A Diurnal-Adaptive Fleet Management Framework using Model-Free Deep Reinforcement Learning and Change Point Detection. - Andrew Price, Kun Huang, Dmitry Berenson:
Fusing RGBD Tracking and Segmentation Tree Sampling for Multi-Hypothesis Volumetric Segmentation. - Longfei Yin, Onur Dizdar, Bruno Clerckx:
Rate-Splitting Multiple Access for Multigroup Multicast Cellular and Satellite Communications: PHY Layer Design and Link-Level Simulations. - Monith S. Reyunuru, Kriti Jethlia, Manjanna Basappa:
The k-Colorable Unit Disk Cover Problem. - Phuoc Pham, Jacob A. Abraham, Jaeyong Chung:
Training Multi-bit Quantized and Binarized Networks with A Learnable Symmetric Quantizer. - Süleyman Yildiz, Murat Uzunca, Bülent Karasözen:
Intrusive and non-intrusive reduced order modeling of the rotating thermal shallow water equation. - Xu Wang, Shuai Zhao, Bo Cheng, Jiale Han, Yingting Li, Hao Yang, Ivan Sekulic, Guoshun Nan:
Integrating Subgraph-aware Relation and DirectionReasoning for Question Answering. - Randall Balestriero, Richard G. Baraniuk:
Fast Jacobian-Vector Product for Deep Networks. - Longfei Yin, Bruno Clerckx, Yijie Mao:
Rate-Splitting Multiple Access for Multi-Antenna Broadcast Channels with Statistical CSIT. - Qi Zhao, Yujing Ma, Shuchang Lyu, Lijiang Chen:
Embedded Self-Distillation in Compact Multi-Branch Ensemble Network for Remote Sensing Scene Classification. - Junhui Yin, Zhanyu Ma, Jiyang Xie, Shibo Nie, Kongming Liang, Jun Guo:
DF^2AM: Dual-level Feature Fusion and Affinity Modeling for RGB-Infrared Cross-modality Person Re-identification. - Xiaoli Li, Weilong Wang, Jie Shen:
Stability and error analysis of IMEX SAV schemes for the magneto-hydrodynamic equations. - Jun Wang:
Two-phase weakly supervised object detection with pseudo ground truth mining. - Jiahui She, Yibo Hu, Hailin Shi, Jun Wang, Qiu Shen, Tao Mei:
Dive into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition. - Jie Wang, Kaibin Tian, Dayong Ding, Gang Yang, Xirong Li:
Unsupervised Domain Expansion for Visual Categorization. - Xinfang Liu, Xiushan Nie, Zhifang Tan, Jie Guo, Yilong Yin:
A Survey on Natural Language Video Localization. - Anuj Diwan, Rakesh Vaideeswaran, Sanket Shah, Ankita Singh, Srinivasa Raghavan K. M., Shreya Khare, Vinit Unni, Saurabh Vyas, Akash Rajpuria, Chiranjeevi Yarra, Ashish R. Mittal, Prasanta Kumar Ghosh, Preethi Jyothi, Kalika Bali, Vivek Seshadri, Sunayana Sitaram, Samarth Bharadwaj, Jai Nanavati, Raoul Nanavati, Karthik Sankaranarayanan, Tejaswi Seeram, Basil Abraham:
Multilingual and code-switching ASR challenges for low resource Indian languages. - Jianhua Li, Ximeng Liu, Jiong Jin, Shui Yu:
Too Expensive to Attack: A Joint Defense Framework to Mitigate Distributed Attacks for the Internet of Things Grid. - Zixuan Jiang, Jiaqi Gu, Mingjie Liu, Keren Zhu, David Z. Pan:
Optimizer Fusion: Efficient Training with Better Locality and Parallelism. - Jinxing Zhou, Liang Zheng, Yiran Zhong, Shijie Hao, Meng Wang:
Positive Sample Propagation along the Audio-Visual Event Line. - Ziyuan Huang, Shiwei Zhang, Jianwen Jiang, Mingqian Tang, Rong Jin, Marcelo H. Ang:
Self-supervised Motion Learning from Static Images. - Ziyi Wang, Oswin So, Jason Gibson, Bogdan I. Vlahov, Manan S. Gandhi, Guan-Horng Liu, Evangelos A. Theodorou:
Variational Inference MPC using Tsallis Divergence. - Qing Yu, Atsushi Hashimoto, Yoshitaka Ushiku:
Divergence Optimization for Noisy Universal Domain Adaptation. - Byeoungdo Kim, SeongHyeon Park, Seokhwan Lee, Elbek Khoshimjonov, Dongsuk Kum, Junsoo Kim, Jeong Soo Kim, Jun Won Choi:
LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents. - K. C. Sivaramakrishnan, Stephen Dolan, Leo White, Tom Kelly, Sadiq Jaffer, Anil Madhavapeddy:
Retrofitting Effect Handlers onto OCaml. - Zachary DeVito, Jason Ansel, Will Constable, Michael Suo, Ailing Zhang, Kim M. Hazelwood:
Using Python for Model Inference in Deep Learning. - Alexander Johansson, Ehsan Nekouei, Karl Henrik Johansson, Jonas Mårtensson:
Strategic Hub-Based Platoon Coordination under Uncertain Travel Times. - Xin Liang, Li Wang, Lei-Hong Zhang, Ren-Cang Li:
On Generalizing Trace Minimization. - Jiansong Li, Xiao Dong, Guangli Li, Peng Zhao, Xueying Wang, Xiaobing Chen, Xianzhi Yu, Yongxin Yang, Zihan Jiang, Wei Cao, Lei Liu, Xiaobing Feng:
Pinpointing the Memory Behaviors of DNN Training. - Prabhakar Gupta, Ridha Juneja, Anil Nelakanti, Tamojit Chatterjee:
Detecting over/under-translation errors for determining adequacy in human translations. - Adrian Barbu, Hongyu Mou:
The Compact Support Neural Network. - Jivnesh Sandhan, Om Adideva, Digumarthi Komal, Laxmidhar Behera, Pawan Goyal:
Evaluating Neural Word Embeddings for Sanskrit. - Kevin Lin, Lijuan Wang, Zicheng Liu:
Mesh Graphormer. - Pengliang Ji, Li Ruan, Yunzhi Xue, Limin Xiao, Qian Dong:
Perspective, Survey and Trends: Public Driving Datasets and Toolsets for Autonomous Driving Virtual Test. - Arnulf Jentzen, Adrian Riekert:
A proof of convergence for stochastic gradient descent in the training of artificial neural networks with ReLU activation for constant target functions. - Joshua K. Pickard, Vincent Padois, Milan Hladík, David Daney:
Efficient Set-Based Approaches for the Reliable Computation of Robot Capabilities. - Nicole Spillane:
An abstract theory of domain decomposition methods with coarse spaces of the GenEO family. - Benjamin Shreeve, Joseph Hallett, Matthew Edwards, Kopo M. Ramokapane, Richard Atkins, Awais Rashid:
The best laid plans or lack thereof: Security decision-making of different stakeholder groups. - Luowei Zhou, Jingjing Liu, Yu Cheng, Zhe Gan, Lei Zhang:
CUPID: Adaptive Curation of Pre-training Data for Video-and-Language Representation Learning. - Yang Fu, Sifei Liu, Umar Iqbal, Shalini De Mello, Humphrey Shi, Jan Kautz:
Learning to Track Instances without Video Annotations. - Thamme Gowda, Zhao Zhang, Chris A. Mattmann, Jonathan May:
Many-to-English Machine Translation Tools, Data, and Pretrained Models. - Lucien Haddad, Masahiro Miyakawa, Maurice Pouzet, Hisayuki Tatsumi:
Hereditary rigidity, separation and density In memory of Professor I.G. Rosenberg. - Holden Gordon, Christopher Batula, Bhagyashri Tushir, Behnam Dezfouli, Yuhong Liu:
Securing Smart Homes via Software-Defined Networking and Low-Cost Traffic Classification. - Xiufeng Jiang, Shugong Xu, Shunqing Zhang, Shan Cao:
Arbitrary-Shaped Text Detection withAdaptive Text Region Representation. - Mingxing Tan, Quoc V. Le:
EfficientNetV2: Smaller Models and Faster Training. - Hojung Lee, Jong-Seok Lee:
Students are the Best Teacher: Exit-Ensemble Distillation with Multi-Exits. - Xianjia Yu, Qingqing Li, Jorge Peña Queralta, Jukka Heikkonen, Tomi Westerlund:
Cooperative UWB-Based Localization for Outdoors Positioning and Navigation of UAVs aided by Ground Robots. - Jennifer Jang, Heinrich Jiang:
MeanShift++: Extremely Fast Mode-Seeking With Applications to Segmentation and Object Tracking. - Kao-Yueh Kuo, Ching-Yi Lai:
Log-domain decoding of quantum LDPC codes over binary finite fields. - Dong Yao, Shengyu Zhang, Zhou Zhao, Wenyan Fan, Jieming Zhu, Xiuqiang He, Fei Wu:
Modeling High-order Interactions across Multi-interests for Micro-video Reommendation. - Rongjie Li, Songyang Zhang, Bo Wan, Xuming He:
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation. - Luoqiu Li, Xiang Chen, Ningyu Zhang, Shumin Deng, Xin Xie, Chuanqi Tan, Mosha Chen, Fei Huang, Huajun Chen:
Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction. - Yan-Bo Lin, Hung-Yu Tseng, Hsin-Ying Lee, Yen-Yu Lin, Ming-Hsuan Yang:
Unsupervised Sound Localization via Iterative Contrastive Learning. - Edoardo Battegazzorre, Andrea Bottino, Fabrizio Lamberti:
Training Medical Communication Skills with Virtual Patients: Literature Review and Directions for Future Research. - Phong Tran, Anh Tran, Quynh Phung, Minh Hoai:
Explore Image Deblurring via Blur Kernel Space. - Yoonhyung Kim, Changick Kim:
Semi-Supervised Domain Adaptation via Selective Pseudo Labeling and Progressive Self-Training. - Matan Levi, Idan Attias, Aryeh Kontorovich:
Domain Invariant Adversarial Learning. - Pengguang Chen, Shu Liu, Jiaya Jia:
Jigsaw Clustering for Unsupervised Visual Representation Learning. - Zhihong Fu, Qingjie Liu, Zehua Fu, Yunhong Wang:
STMTrack: Template-free Visual Tracking with Space-time Memory Networks. - Shintaro Nishi, Takeaki Kadota, Seiichi Uchida:
Famous Companies Use More Letters in Logo: A Large-Scale Analysis of Text Area in Logo. - Francesco Pase, Marco Giordani, Michele Zorzi:
On the Convergence Time of Federated Learning Over Wireless Networks Under Imperfect CSI. - Mingyang Zhou, Luowei Zhou, Shuohang Wang, Yu Cheng, Linjie Li, Zhou Yu, Jingjing Liu:
UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre-training. - Nayeon Lee, Yejin Bang, Andrea Madotto, Pascale Fung:
Mitigating Media Bias through Neutral Article Generation. - Yinlin Hu, Sébastien Speierer, Wenzel Jakob, Pascal Fua, Mathieu Salzmann:
Wide-Depth-Range 6D Object Pose Estimation in Space. - Qi Fang, Qing Shuai, Junting Dong, Hujun Bao, Xiaowei Zhou:
Reconstructing 3D Human Pose by Watching Humans in the Mirror. - Sunny Katyara, Fanny Ficuciello, Tao Teng, Fei Chen, Bruno Siciliano, Darwin G. Caldwell:
Intuitive Tasks Planning Using Visuo-Tactile Perception for Human Robot Cooperation. - Jia He, Yi Chen, Yiqin Wang, Ziming Yu, Chong Han:
Channel Measurement and Path-Loss Characterization for Low-Terahertz Indoor Scenarios. - Kacper Kania, Marek Kowalski, Tomasz Trzcinski:
TrajeVAE - Controllable Human Motion Generation from Trajectories. - Akihito Taya, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto:
Decentralized and Model-Free Federated Learning: Consensus-Based Distillation in Function Space. - Adam Polyak, Yossi Adi, Jade Copet, Eugene Kharitonov, Kushal Lakhotia, Wei-Ning Hsu, Abdelrahman Mohamed, Emmanuel Dupoux:
Speech Resynthesis from Discrete Disentangled Self-Supervised Representations. - Tianyu Hua, Hongdong Zheng, Yalong Bai, Wei Zhang, Xiao-Ping Zhang, Tao Mei:
Exploiting Relationship for Complex-scene Image Generation. - Charlotte Roman, Paolo Turrini:
Bounding the Inefficiency of Route Control in Intelligent Transport Systems. - Daniel Buschek, Lukas Mecke, Florian Lehmann, Hai Dang:
Nine Potential Pitfalls when Designing Human-AI Co-Creative Systems. - Linjie Lyu, Marc Habermann, Lingjie Liu, Mallikarjun B. R., Ayush Tewari, Christian Theobalt:
Efficient and Differentiable Shadow Computation for Inverse Problems. - Martin Käppel, Stefan Jablonski, Stefan Schönig:
Evaluating Predictive Business Process Monitoring Approaches on Small Event Logs. - Chenyou Fan, Jianwei Huang:
Federated Few-Shot Learning with Adversarial Learning. - Evander Nyoni, Bruce A. Bassett:
Low-Resource Neural Machine Translation for Southern African Languages. - Linyong Nan, Chiachun Hsieh, Ziming Mao, Xi Victoria Lin, Neha Verma, Rui Zhang, Wojciech Kryscinski, Nick Schoelkopf, Riley Kong, Xiangru Tang, Murori Mutuma, Ben Rosand, Isabel Trindade, Renusree Bandaru, Jacob Cunningham, Caiming Xiong, Dragomir R. Radev:
FeTaQA: Free-form Table Question Answering. - Seamus Brady:
The Comprehensive Blub Archive Network: Towards Design Principals for Open Source Programming Language Repositories. - Seamus Brady:
Immutability and Design Patterns in Ruby. - Song Guo, Jingya Wang, Xinchao Wang, Dacheng Tao:
Online Multiple Object Tracking with Cross-Task Synergy. - Taisuke Kobayashi, Yutaro Ikawa, Takamitsu Matsubara:
Sample-efficient Gear-ratio Optimization for Biomechanical Energy Harvester. - Taisuke Kobayashi, Kenta Yoshizawa:
Optimization Algorithm for Feedback and Feedforward Policies towards Robot Control Robust to Sensing Failures. - Agnese Chiatti, Gianluca Bardaro, Enrico Motta, Enrico Daga:
Commonsense Spatial Reasoning for Visually Intelligent Agents. - Hamdy Michael Ayas, Philipp Leitner, Regina Hebig:
Facing the Giant: a Grounded Theory Study of Decision-Making in Microservices Migrations. - Mohammadreza Doostmohammadian, Usman A. Khan, Themistoklis Charalambous:
Delay-Tolerant Consensus-based Distributed Estimation: Full-Rank Systems with Potentially Unstable Dynamics. - Stefano Massei, Leonardo Robol:
Mixed precision recursive block diagonalization for bivariate functions of matrices. - Akihiro Umeda, Yuta Wakasugi, Shuji Yoshikawa:
Structure-preserving finite difference schemes for nonlinear wave equations with dynamic boundary conditions. - Mohammadreza Doostmohammadian, Alireza Aghasi, Themistoklis Charalambous, Usman A. Khan:
Distributed support-vector-machine over dynamic balanced directed networks. - Yutao Cui, Cheng Jiang, Limin Wang, Gangshan Wu:
Target Transformed Regression for Accurate Tracking. - Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Amhad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni:
Avalanche: an End-to-End Library for Continual Learning. - Dmitriy Zhuk, Barnaby Martin:
The complete classification for quantified equality constraints. - Parfait Atchade-Adelomou, Daniel Casado-Fauli, Elisabet Golobardes-Ribé, Xavier Vilasís-Cardona:
quantum Case-Based Reasoning (qCBR). - Amir Zandieh:
Learning with Neural Tangent Kernels in Near Input Sparsity Time. - Longguang Wang, Yingqian Wang, Xiaoyu Dong, Qingyu Xu, Jungang Yang, Wei An, Yulan Guo:
Unsupervised Degradation Representation Learning for Blind Super-Resolution. - Jussi Karlgren, Pentti Kanerva:
High-dimensional distributed semantic spaces for utterances. - Yuka Takeishi, Mingxuan Niu, Jing Luo, Zhong Jin, Xinyu Yang:
WakaVT: A Sequential Variational Transformer for Waka Generation. - Mathis Peyron, Anthony Fillion, Selime Gürol, Victor Marchais, Serge Gratton, Pierre Boudier, Gaël Goret:
Latent Space Data Assimilation by using Deep Learning. - Guangming Wang, Hesheng Wang, Yiling Liu, Weidong Chen:
Unsupervised Learning of Monocular Depth and Ego-Motion Using Multiple Masks. - Maxim Bonnaerens, Matthias Freiberger, Joni Dambre:
Anchor Pruning for Object Detection. - Andres Ferraro, Xavier Favory, Konstantinos Drossos, Yuntae Kim, Dmitry Bogdanov:
Enriched Music Representations with Multiple Cross-modal Contrastive Learning. - Sai Rajeswar, Cyril Ibrahim, Nitin Surya, Florian Golemo, David Vázquez, Aaron C. Courville, Pedro O. Pinheiro:
Touch-based Curiosity for Sparse-Reward Tasks. - Zhaoyang Lyu, Minghao Guo, Tong Wu, Guodong Xu, Kehuan Zhang, Dahua Lin:
Towards Evaluating and Training Verifiably Robust Neural Networks. - Joze M. Rozanec, Dunja Mladenic:
Semantic XAI for contextualized demand forecasting explanations. - Jie Gui, Haizhang Zhang:
Learning Rates for Multi-task Regularization Networks. - Lampis Alevizos, Vinh-Thong Ta, Max Hashem Eiza:
Augmenting Zero Trust Architecture to Endpoints Using Blockchain: A Systematic Review. - Rami Gökhan Kici, Klaus von Gleissenthall, Deian Stefan, Ranjit Jhala:
Solver-Aided Constant-Time Circuit Verification. - Tu Zheng, Shuai Zhao, Yang Liu, Zili Liu, Deng Cai:
SCALoss: Side and Corner Aligned Loss for Bounding Box Regression. - Roy Ganz, Michael Elad:
Improved Image Generation via Sparse Modeling. - Pavlos Eirinakis, Ioannis Mourtos, Michalis Samaris:
Pareto optimal exchange with indifferent endowments. - Zhisheng Zhong, Jiequan Cui, Shu Liu, Jiaya Jia:
Improving Calibration for Long-Tailed Recognition. - Meysam Nasimi, Mohammad Asif Habibi, Bin Han, Hans D. Schotten:
Edge-Assisted Congestion Control Mechanism for 5G Network Using Software-Defined Networking. - Jan Bechtold, Maxim Tatarchenko, Volker Fischer, Thomas Brox:
Fostering Generalization in Single-view 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors. - Celia Cintas, Payel Das, Brian Quanz, Skyler Speakman, Victor Akinwande, Pin-Yu Chen:
Towards creativity characterization of generative models via group-based subset scanning. - Edwin C. Brady:
Idris 2: Quantitative Type Theory in Practice. - Benoît Guillard, Edoardo Remelli, Pierre Yvernay, Pascal Fua:
Sketch2Mesh: Reconstructing and Editing 3D Shapes from Sketches. - Yu Yang, Hakan Bilen, Qiran Zou, Wing Yin Cheung, Xiangyang Ji:
Unsupervised Foreground-Background Segmentation with Equivariant Layered GANs. - Longwen Zhang, Qixuan Zhang, Minye Wu, Jingyi Yu, Lan Xu:
Neural Video Portrait Relighting in Real-time via Consistency Modeling. - Xinxin Mei, Qiang Wang, Xiaowen Chu, Hai Liu, Yiu-Wing Leung, Zongpeng Li:
Energy-aware Task Scheduling with Deadline Constraint in DVFS-enabled Heterogeneous Clusters. - Jianjin Xu, Changxi Zheng:
Linear Semantics in Generative Adversarial Networks. - Jun Fu, Wei Zhou, Zhibo Chen:
Bayesian Graph Convolutional Network for Traffic Prediction. - Daniele Romanini, Adam James Hall, Pavlos Papadopoulos, Tom Titcombe, Abbas Ismail, Tudor Cebere, Robert Sandmann, Robin Roehm, Michael A. Hoeh:
PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN. - Yiye Chen, Ruinian Xu, Yunzhi Lin, Patricio A. Vela:
A Joint Network for Grasp Detection Conditioned on Natural Language Commands. - Alexander Renz-Wieland, Rainer Gemulla, Zoi Kaoudi, Volker Markl:
Replicate or Relocate? Non-Uniform Access in Parameter Servers. - Wester C. H. Schoonenberg, Amro M. Farid:
Hetero-functional Network Minimum Cost Flow Optimization: A Hydrogen-Natural Gas Network Example. - Raphael M. Guedes, José Ferreira de Rezende, Valmir C. Barbosa:
Integrated optimization of heterogeneous-network management and the elusive role of macrocells. - Xin Liang:
On the Optimality of the Oja's Algorithm for Online PCA. - Jingsong Wang, Yuxuan He, Chunyu Zhao, Qijie Shao, Wei-Wei Tu, Tom Ko, Hung-yi Lee, Lei Xie:
Auto-KWS 2021 Challenge: Task, Datasets, and Baselines. - Luca Moschella, Simone Melzi, Luca Cosmo, Filippo Maggioli, Or Litany, Maks Ovsjanikov, Leonidas J. Guibas, Emanuele Rodolà:
Spectral Unions of Partial Deformable 3D Shapes. - Yi Luo, Yichen Wu, Liqiao Li, Yuening Guo, Ege Cetintas, Yifang Zhu, Aydogan Ozcan:
Dynamic imaging and characterization of volatile aerosols in e-cigarette emissions using deep learning-based holographic microscopy. - Partha P. Mitra:
Fitting Elephants. - Yusuf Nasir, Jincong He, Chaoshun Hu, Shusei Tanaka, Kainan Wang, XianHuan Wen:
Deep Reinforcement Learning for Constrained Field Development Optimization in Subsurface Two-phase Flow. - Saad Abbasi, Mahmoud Famouri, Mohammad Javad Shafiee, Alexander Wong:
OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection. - Andrew H. Song, Bahareh Tolooshams, Demba E. Ba:
Gaussian Process Convolutional Dictionary Learning. - Inan Timur, Ahmet Fevzi Baba:
Prediction of Wind Speed Using Artificial Neural Networks and ANFIS Methods (Observation Buoy Example). - Bhaskar Ramasubramanian, Luyao Niu, Andrew Clark, Radha Poovendran:
Reinforcement Learning Beyond Expectation. - Kamil Zbikowski, Michal Ostapowicz, Piotr Gawrysiak:
Deep Reinforcement Learning for Resource Allocation in Business Processes. - Tong Wu, Jorge Ortiz:
RLAD: Time Series Anomaly Detection through Reinforcement Learning and Active Learning. - Michael Kuperberg, Matthias Geipel:
Blockchain and BIM (Building Information Modeling): Progress in Academia and Industry. - Alain Hertz, Anaelle Hertz, Hadrien Mélot:
Using Graph Theory to Derive Inequalities for the Bell Numbers. - Jianyuan Wang, Yiran Zhong, Yuchao Dai, Stan Birchfield, Kaihao Zhang, Nikolai Smolyanskiy, Hongdong Li:
Deep Two-View Structure-from-Motion Revisited. - Jonne Sälevä, Constantine Lignos:
Mining Wikidata for Name Resources for African Languages. - Yihao Zhang, John J. Leonard:
A Front-End for Dense Monocular SLAM using a Learned Outlier Mask Prior. - Roger Girgis, Florian Golemo, Felipe Codevilla, Jim Aldon D'Souza, Samira Ebrahimi Kahou, Felix Heide, Christopher J. Pal:
Latent Variable Nested Set Transformers & AutoBots. - Mauro Martini, Vittorio Mazzia, Aleem Khaliq, Marcello Chiaberge:
Domain-Adversarial Training of Self-Attention Based Networks for Land Cover Classification using Multi-temporal Sentinel-2 Satellite Imagery. - Steffen Herbold:
Exploring the relationship between performance metrics and cost saving potential of defect prediction models. - Kai Hu, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn:
Text to Image Generation with Semantic-Spatial Aware GAN. - Fu-En Wang, Yu-Hsuan Yeh, Min Sun, Wei-Chen Chiu, Yi-Hsuan Tsai:
LED2-Net: Monocular 360 Layout Estimation via Differentiable Depth Rendering. - Stefania Bellavia, Gianmarco Gurioli, Benedetta Morini, Philippe L. Toint:
Quadratic and Cubic Regularisation Methods with Inexact function and Random Derivatives for Finite-Sum Minimisation. - Minghao Chen, Houwen Peng, Jianlong Fu, Haibin Ling:
One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking. - Simon Karanja Hinga:
Design and development of an Aerial Surveillance Security System. - Jessica Zosa Forde, A. Feder Cooper, Kweku Kwegyir-Aggrey, Chris De Sa, Michael Littman:
Model Selection's Disparate Impact in Real-World Deep Learning Applications. - Vighnesh Birodkar, Zhichao Lu, Siyang Li, Vivek Rathod, Jonathan Huang:
The surprising impact of mask-head architecture on novel class segmentation. - Chen Sun, Arsha Nagrani, Yonglong Tian, Cordelia Schmid:
Composable Augmentation Encoding for Video Representation Learning. - Benjamin Kahl:
Real-Time Global Illumination Using OpenGL And Voxel Cone Tracing. - Xiao Lin, Meng Ye, Yunye Gong, Giedrius Burachas, Nikoletta Basiou, Ajay Divakaran, Yi Yao:
Modular Adaptation for Cross-Domain Few-Shot Learning. - Luyang Zhu, Arsalan Mousavian, Yu Xiang, Hammad Mazhar, Jozef van Eenbergen, Shoubhik Debnath, Dieter Fox:
RGB-D Local Implicit Function for Depth Completion of Transparent Objects. - Birgit van Huijgevoort, Sofie Haesaert:
Multi-layered simulation relations for linear stochastic systems. - Joshua Gruenstein, Tao Chen, Neel Doshi, Pulkit Agrawal:
Residual Model Learning for Microrobot Control. - Tahmid Hasan Pranto, Abdulla All Noman, Atik Mahmud, A. K. M. Bahalul Haque:
Blockchain and smart contract for IoT enabled smart agriculture. - Shun Iwase, Xingyu Liu, Rawal Khirodkar, Rio Yokota, Kris M. Kitani:
RePOSE: Real-Time Iterative Rendering and Refinement for 6D Object Pose Estimation. - Gias Uddin:
Security and Machine Learning Adoption in IoT: A Preliminary Study of IoT Developer Discussions. - Min Zhang, Dongsheng An, Na Lei, Jianfeng Wu, Tong Zhao, Xiaoyin Xu, Yalin Wang, Xianfeng Gu:
Cortical Morphometry Analysis based on Worst Transportation Theory. - Rafel Palliser-Sans, Albert Rial-Farràs:
HLE-UPC at SemEval-2021 Task 5: Multi-Depth DistilBERT for Toxic Spans Detection. - James Thorne, Max Glockner, Gisela Vallejo, Andreas Vlachos, Iryna Gurevych:
Evidence-based Verification for Real World Information Needs. - Tae Soo Kim, Jonathan D. Jones, Gregory D. Hager:
Motion Guided Attention Fusion to Recognize Interactions from Videos. - A. K. M. Bahalul Haque, A. K. M. Najmul Islam, Sami Hyrynsalmi, Bilal Naqvi, Kari Smolander:
GDPR Compliant Blockchains-A Systematic Literature Review. - Max Bain, Arsha Nagrani, Gül Varol, Andrew Zisserman:
Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval. - Bo Chen, Calvin Hawkins, Kasra Yazdani, Matthew T. Hale:
Edge Differential Privacy for Algebraic Connectivity of Graphs. - Ngoc Phuoc An Vo, Irene Manotas, Octavian Popescu, Algimantas Cerniauskas, Vadim Sheinin:
Recognizing and Splitting Conditional Sentences for Automation of Business Processes Management. - Vilém Zouhar:
Sampling and Filtering of Neural Machine Translation Distillation Data. - Terrance DeVries, Miguel Ángel Bautista, Nitish Srivastava, Graham W. Taylor, Joshua M. Susskind:
Unconstrained Scene Generation with Locally Conditioned Radiance Fields. - Zhuolin Yang, Linyi Li, Xiaojun Xu, Shiliang Zuo, Qian Chen, Benjamin I. P. Rubinstein, Ce Zhang, Bo Li:
TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity and Model Smoothness. - Kai Zhang, Fujun Luan, Qianqian Wang, Kavita Bala, Noah Snavely:
PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting. - Yen-Chi Cheng, Chieh Hubert Lin, Hsin-Ying Lee, Jian Ren, Sergey Tulyakov, Ming-Hsuan Yang:
In&Out : Diverse Image Outpainting via GAN Inversion. - Zhiqiang Shen, Zechun Liu, Dejia Xu, Zitian Chen, Kwang-Ting Cheng, Marios Savvides:
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study. - Ajay Jain, Matthew Tancik, Pieter Abbeel:
Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis. - Ze Liu, Zheng Zhang, Yue Cao, Han Hu, Xin Tong:
Group-Free 3D Object Detection via Transformers. - Jong-Chyi Su, Zezhou Cheng, Subhransu Maji:
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification. - Jiaming Sun, Zehong Shen, Yuang Wang, Hujun Bao, Xiaowei Zhou:
LoFTR: Detector-Free Local Feature Matching with Transformers. - Jiaming Sun, Yiming Xie, Linghao Chen, Xiaowei Zhou, Hujun Bao:
NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video. - Bo Xiong, Haoqi Fan, Kristen Grauman, Christoph Feichtenhofer:
Multiview Pseudo-Labeling for Semi-supervised Learning from Video. - Ye Yuan, Shih-En Wei, Tomas Simon, Kris Kitani, Jason M. Saragih:
SimPoE: Simulated Character Control for 3D Human Pose Estimation. - Matthew F. Causley:
The Gamma Function via Interpolation. - Dylan R. Ashley, Anssi Kanervisto, Brendan Bennett:
Back to Square One: Superhuman Performance in Chutes and Ladders Through Deep Neural Networks and Tree Search. - Pablo R. Palafox, Aljaz Bozic, Justus Thies, Matthias Nießner, Angela Dai:
NPMs: Neural Parametric Models for 3D Deformable Shapes. - Michael Schmitt, Yu-Lun Wu:
Remote Sensing Image Classification with the SEN12MS Dataset. - Qing He, Zhiping Xiu, Thilo Köhler, Jilong Wu:
Multi-rate attention architecture for fast streamable Text-to-speech spectrum modeling. - Joseph G. Lambourne, Karl D. D. Willis, Pradeep Kumar Jayaraman, Aditya Sanghi, Peter Meltzer, Hooman Shayani:
BRepNet: A topological message passing system for solid models. - Yoonjae Lee, Efstathios Bakolas:
Optimal Strategies for Guarding a Compact and Convex Target Area: A Differential Game Approach. - Michelle Feng, Abigail Hickok, Mason A. Porter:
Topological Data Analysis of Spatial Systems. - Zaharah Allah Bukhsh, Aaqib Saeed, Remco M. Dijkman:
ProcessTransformer: Predictive Business Process Monitoring with Transformer Network. - Heejung W. Chung, Avoy Datta, Chris Waites:
GABO: Graph Augmentations with Bi-level Optimization. - Mehran Meidani, Maxime Lamothe, Shane McIntosh:
Assessing the Exposure of Software Changes: The DiPiDi Approach. - Niko Brümmer, Luciana Ferrer, Albert Swart:
Out of a hundred trials, how many errors does your speaker verifier make? - Juliano Pinto, Georg Hess, William Ljungbergh, Yuxuan Xia, Lennart Svensson, Henk Wymeersch:
Next Generation Multitarget Trackers: Random Finite Set Methods vs Transformer-based Deep Learning. - Kürsat Tekbiyik, Günes Karabulut-Kurt, Ali Riza Ekti, Halim Yanikomeroglu:
Graph Attention Networks for Channel Estimation in RIS-assisted Satellite IoT Communications. - Ankit Goel, Dennis S. Bernstein:
Two Modifications of the Unscented Kalman Filter that Specialize to the Kalman Filter for Linear Systems. - Gopal Sarma, James Koppel, Gregory Malecha, Patrick Schultz, Eric Drexler, Ramana Kumar, Cody Roux, Philip Zucker:
Formal Methods for the Informal Engineer: Workshop Recommendations. - Yunye Gong, Xiao Lin, Yi Yao, Thomas G. Dietterich, Ajay Divakaran, Melinda T. Gervasio:
Confidence Calibration for Domain Generalization under Covariate Shift. - Tanmay Gupta, Amita Kamath, Aniruddha Kembhavi, Derek Hoiem:
Towards General Purpose Vision Systems. - Junde Li, Mahabubul Alam, Congzhou M. Sha, Jian Wang, Nikolay V. Dokholyan, Swaroop Ghosh:
Drug Discovery Approaches using Quantum Machine Learning. - Warren L. Hare, Gabriel Jarry-Bolduc, Chayne Planiden:
Limiting behaviour of the generalized simplex gradient as the number of points tends to infinity on a fixed shape in R^n. - Zhuang Liu, Trevor Darrell, Evan Shelhamer:
Confidence Adaptive Anytime Pixel-Level Recognition. - D. Ellis Hershkowitz, Jason Li:
O(1) Steiner Point Removal in Series-Parallel Graphs. - Silvija Kokalj-Filipovic, Paul Toliver, William Johnson, Rob Miller:
Reservoir-Based Distributed Machine Learning for Edge Operation. - André F. T. Martins:
Reconciling the Discrete-Continuous Divide: Towards a Mathematical Theory of Sparse Communication. - Thomas Bourgeat, Ian Clester, Andres Erbsen, Samuel Gruetter, Andrew Wright, Adam Chlipala:
A Multipurpose Formal RISC-V Specification. - Pranav Maneriker, Yuntian He, Srinivasan Parthasarathy:
StyleML: Stylometry with Structure and Multitask Learning for Darkweb Markets. - Gabriel Ferrettini, Elodie Escriva, Julien Aligon, Jean-Baptiste Excoffier, Chantal Soulé-Dupuy:
Coalitional strategies for efficient individual prediction explanation. - Ranya Aloufi, Hamed Haddadi, David Boyle:
Configurable Privacy-Preserving Automatic Speech Recognition. - Tumi Moeng, Sheldon Reay, Aaron Daniels, Jan Buys:
Canonical and Surface Morphological Segmentation for Nguni Languages. - Stuart Mesham, Luc Hayward, Jared Shapiro, Jan Buys:
Low-Resource Language Modelling of South African Languages. - Fanghua Ye, Jarana Manotumruksa, Emine Yilmaz:
MultiWOZ 2.4: A Multi-Domain Task-Oriented Dialogue Dataset with Essential Annotation Corrections to Improve State Tracking Evaluation. - Mohammad Hassan Jahanandish, Kaitlin G. Rabe, Abhishek Srinivas, Nicholas P. Fey, Kenneth Hoyt:
Task-Invariant Learning of Continuous Joint Kinematics during Steady-State and Transient Ambulation Using Ultrasound Sensing. - Xibai Lou, Yang Yang, Changhyun Choi:
Collision-Aware Target-Driven Object Grasping in Constrained Environments. - Filipo Sharevski, Raniem Alsaadi, Peter Jachim, Emma Pieroni:
Misinformation Warning Labels: Twitter's Soft Moderation Effects on COVID-19 Vaccine Belief Echoes. - Peter Jachim, Filipo Sharevski, Emma Pieroni:
"TL;DR: " Out-of-Context Adversarial Text Summarization and Hashtag Recommendation. - Derek Chen, Howard Chen, Yi Yang, Alex Lin, Zhou Yu:
Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems. - Kiran Mantripragada, Phuong D. Dao, Yuhong He, Faisal Z. Qureshi:
A study on the effects of compression on hyperspectral image classification. - Miikka Silfverberg, Francis M. Tyers, Garrett Nicolai, Mans Hulden:
Do RNN States Encode Abstract Phonological Processes? - Alok Tripathy, Oded Green:
Scalable Hash Table for NUMA Systems. - Shyamgopal Karthik, Ameya Prabhu, Puneet K. Dokania, Vineet Gandhi:
No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks. - Haiyan Wang, Jiahao Pang, Muhammad Asad Lodhi, Yingli Tian, Dong Tian:
FESTA: Flow Estimation via Spatial-Temporal Attention for Scene Point Clouds. - Sabah Al-Fedaghi:
Modeling in Systems Engineering: Conceptual Time Representation. - Chao Liu, Qian Lin, Hyun Kim, Mark Yim:
SMORES-EP, a Modular Robot with Parallel Self-assembly. - Saketh Reddy Karra, Theja Tulabandhula:
Choice-Aware User Engagement Modeling andOptimization on Social Media. - Zoya Bylinskii, Lore Goetschalckx, Anelise Newman, Aude Oliva:
Memorability: An image-computable measure of information utility. - Ankitesh K. Singh, Hilmi E. Egilmez, Reza Pourreza, Muhammed Z. Coban, Marta Karczewicz, Taco S. Cohen:
A Combined Deep Learning based End-to-End Video Coding Architecture for YUV Color Space. - Subhankar Roy, Evgeny Krivosheev, Zhun Zhong, Nicu Sebe, Elisa Ricci:
Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation. - Asmae Benali, Bouchra El Asri:
A Context Aware and Self Adaptation Strategy for Cloud Service Selection and Configuration in Run Time. - Dheeraj Rajagopal, Aman Madaan, Niket Tandon, Yiming Yang, Shrimai Prabhumoye, Abhilasha Ravichander, Peter Clark, Eduard H. Hovy:
CURIE: An Iterative Querying Approach for Reasoning About Situations. - Asmae Benali, Bouchra El Asri, Houda Kriouile:
Toward Sensor and Software Product Line Based Context Aware Cloud Environment Assignment. - Mohammadreza Armandpour, Ali Sadeghian, Chunyuan Li, Mingyuan Zhou:
Partition-Guided GANs. - Minsig Han, Hanchang Seo, Ameha Tsegaye Abebe, Chung Gu Kang:
Deep Learning-based Codebook Design for Code-domain Non-Orthogonal Multiple Access Achieving a Single-User Bit Error Rate Performance. - Asmae Benali, Bouchra El Asri:
Towards Rigorous Selection and Configuration of Cloud Services: Research Methodology. - Oguz Kaan Yüksel, Enis Simsar, Ezgi Gülperi Er, Pinar Yanardag:
LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions. - Adrián Silveira, Gustavo Betarte, Maximiliano Cristiá, Carlos Daniel Luna:
A Formal Analysis of the MimbleWimble Cryptocurrency Protocol. - David R. Mortensen, Jordan Picone, Xinjian Li, Kathleen Siminyu:
Tusom2021: A Phonetically Transcribed Speech Dataset from an Endangered Language for Universal Phone Recognition Experiments. - Andrew Z. Hou, Ze Zhang, Michel Sarkis, Ning Bi, Yiying Tong, Xiaoming Liu:
Towards High Fidelity Face Relighting with Realistic Shadows. - Jingxi Xu, Bruce D. Lee, Nikolai Matni, Dinesh Jayaraman:
How Are Learned Perception-Based Controllers Impacted by the Limits of Robust Control? - Yifan Sun, Yixuan Zhang, Ali Mosallaei, Michael D. Shah, Cody Dunne, David R. Kaeli:
Daisen: A Framework for Visualizing Detailed GPU Execution. - Siyuan Cheng, Bineng Zhong, Guorong Li, Xin Liu, Zhenjun Tang, Xianxian Li, Jing Wang:
Learning to Filter: Siamese Relation Network for Robust Tracking. - Guntur Dharma Putra, Volkan Dedeoglu, Salil S. Kanhere, Raja Jurdak, Aleksandar Ignjatovic:
Trust-based Blockchain Authorization for IoT. - Yiling Chen, Alon Eden, Juntao Wang:
Cursed yet Satisfied Agents. - Pingchuan Ma, Tao Du, John Z. Zhang, Kui Wu, Andrew Spielberg, Robert K. Katzschmann, Wojciech Matusik:
DiffAqua: A Differentiable Computational Design Pipeline for Soft Underwater Swimmers with Shape Interpolation. - Jinglin Peng, Weiyuan Wu, Brandon Lockhart, Song Bian, Jing Nathan Yan, Linghao Xu, Zhixuan Chi, Jeffrey M. Rzeszotarski, Jiannan Wang:
DataPrep.EDA: Task-Centric Exploratory Data Analysis for Statistical Modeling in Python. - A. Vinay, Aviral Joshi, Hardik Mahipal Surana, Harsh Garg, K. N. Balasubramanya Murthy, S. Natarajan:
Unconstrained Face Recognition using ASURF and Cloud-Forest Classifier optimized with VLAD. - Waqar Hussain, Didar Zowghi, Tony Clear, Stephen G. MacDonell, Kelly Blincoe:
Managing Requirements Change the Informal Way: When Saying 'No' is Not an Option. - Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai:
TFill: Image Completion via a Transformer-Based Architecture. - Kangfu Mei, Shenglong Ye, Rui Huang:
SDAN: Squared Deformable Alignment Network for Learning Misaligned Optical Zoom. - Alessandra Lumini, Loris Nanni, Gianluca Maguolo:
Deep ensembles based on Stochastic Activation Selection for Polyp Segmentation. - Yang Zhao, Hao Zhang:
Analyzing and Quantifying Generalization in Convolutional Neural Networks. - Hao Peng, Jianxin Li, Yangqiu Song, Renyu Yang, Rajiv Ranjan, Philip S. Yu, Lifang He:
Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks. - Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai:
The Spatially-Correlative Loss for Various Image Translation Tasks. - Feng Liu, Luan Tran, Xiaoming Liu:
Fully Understanding Generic Objects: Modeling, Segmentation, and Reconstruction. - Jimy Cai Huang, Hanna Kurniawati:
An NCAP-like Safety Indicator for Self-Driving Cars. - Yufei Feng, Binbin Hu, Yu Gong, Fei Sun, Qingwen Liu, Wenwu Ou:
GRN: Generative Rerank Network for Context-wise Recommendation. - Zongyu Li, Kenneth Lange, Jeffrey A. Fessler:
Algorithms for Poisson Phase Retrieval. - Lianghua Huang, Yu Liu, Bin Wang, Pan Pan, Yinghui Xu, Rong Jin:
Self-supervised Video Representation Learning by Context and Motion Decoupling. - Philip Derbeko, Shlomi Dolev:
PolyDNN: Polynomial Representation of NN for Communication-less SMPC Inference. - Jumyung Chang, Vinicius C. Azevedo, Christopher Batty:
Curl-Flow: Pointwise Incompressible Velocity Interpolation forGrid-Based Fluids. - Jaime Caballero, Francisco Vergara, Randal Miranda, José Serracín:
Inference of Recyclable Objects with Convolutional Neural Networks. - Anam Ahmad Khan, Joshua Newn, Ryan Kelly, Namrata Srivastava, James Bailey, Eduardo Velloso:
GAVIN: Gaze-Assisted Voice-Based Implicit Note-taking. - Khwaja Mutahir Ahmad, Gang He, Wenxin Yu, Xiaochuan Xu, Jay Kumar, Muhammad Asim Saleem:
A Survey on Semi-parametric Machine Learning Technique for Time Series Forecasting. - Matvey Soloviev, Joseph Y. Halpern:
Security Properties as Nested Causal Statements. - Zilong Huang, Wentian Hao, Xinggang Wang, Mingyuan Tao, Jianqiang Huang, Wenyu Liu, Xian-Sheng Hua:
Half-Real Half-Fake Distillation for Class-Incremental Semantic Segmentation. - Aryia Dattamajumdar:
An early warning AI-powered portable system to reduce workload and inspect environmental damage after natural disasters. - Xiaotian Chen, Yuwang Wang, Xuejin Chen, Wenjun Zeng:
S2R-DepthNet: Learning a Generalizable Depth-specific Structural Representation. - Yantian Zha, Siddhant Bhambri, Lin Guan:
Contrastively Learning Visual Attention as Affordance Cues from Demonstrations for Robotic Grasping. - Waqar Hussain, Tony Clear, Stephen G. MacDonell:
Emerging Trends for Global DevOps: A New Zealand Perspective. - Tong Wang, Yousong Zhu, Chaoyang Zhao, Wei Zeng, Jinqiao Wang, Ming Tang:
Adaptive Class Suppression Loss for Long-Tail Object Detection. - Seunghwan Min, Sung Gwan Park, Kunsoo Park, Dora Giammarresi, Giuseppe F. Italiano, Wook-Shin Han:
Symmetric Continuous Subgraph Matching with Bidirectional Dynamic Programming. - Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim:
Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts. - Wooram Kang, Mayank Patwari:
Low Dose Helical CBCT denoising by using domain filtering with deep reinforcement learning. - Duo Lu, Varun C. Jammula, Steven Como, Jeffrey Wishart, Yan Chen, Yezhou Yang:
CAROM - Vehicle Localization and Traffic Scene Reconstruction from Monocular Cameras on Road Infrastructures. - Vineeth Rakesh, Swayambhoo Jain:
Efficacy of Bayesian Neural Networks in Active Learning. - Yujia Zhai, Elisabeth Giem, Quan Fan, Kai Zhao, Jinyang Liu, Zizhong Chen:
FT-BLAS: A High Performance BLAS Implementation With Online Fault Tolerance. - Jongyoun Noh, Sanghoon Lee, Bumsub Ham:
HVPR: Hybrid Voxel-Point Representation for Single-stage 3D Object Detection. - Junghyup Lee, Dohyung Kim, Bumsub Ham:
Network Quantization with Element-wise Gradient Scaling. - Youngmin Oh, Beomjun Kim, Bumsub Ham:
Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation. - Michael Puentes, Diana Novoa, John Delgado Nivia, Carlos Jaime Barrios Hernández, Oscar Carrillo, Frédéric Le Mouël:
Datacentric analysis to reduce pedestrians accidents: A case study in Colombia. - Jérémy Berthomieu, Andrew Ferguson, Mohab Safey El Din:
On the computation of asymptotic critical values of polynomial maps and applications. - Qinyong Wang, Hongzhi Yin, Tong Chen, Junliang Yu, Alexander Zhou, Xiangliang Zhang:
Fast-adapting and Privacy-preserving Federated Recommender System. - Kuan Zhu, Haiyun Guo, Shiliang Zhang, Yaowei Wang, Gaopan Huang, Honglin Qiao, Jing Liu, Jinqiao Wang, Ming Tang:
AAformer: Auto-Aligned Transformer for Person Re-Identification. - Sangmin Lee, Hak Gu Kim, Dae Hwi Choi, Hyung-Il Kim, Yong Man Ro:
Video Prediction Recalling Long-term Motion Context via Memory Alignment Learning. - Iaroslav Bespalov, Nazar Buzun, Oleg Kachan, Dmitry V. Dylov:
Data Augmentation with Manifold Barycenters. - Theo Jaunet, Corentin Kervadec, Romain Vuillemot, Grigory Antipov, Moez Baccouche, Christian Wolf:
VisQA: X-raying Vision and Language Reasoning in Transformers. - Yash Khanna, Anand Louis, Rameesh Paul:
Independent Sets in Semi-random Hypergraphs. - Changying Hao, Liang Pang, Yanyan Lan, Yan Wang, Jiafeng Guo, Xueqi Cheng:
Sketch and Customize: A Counterfactual Story Generator. - Aishwarya Gupta, Avik Pal, Bholeshwar Khurana, Lakshay Tyagi, Ashutosh Modi:
Humor@IITK at SemEval-2021 Task 7: Large Language Models for Quantifying Humor and Offensiveness. - Dongha Lee, Sehun Yu, Hwanjo Yu:
Multi-Class Data Description for Out-of-distribution Detection. - Jiang Che, Wanyue Xu, Xiaotian Zhou, Zhongzhi Zhang, Haibin Kan:
Some Combinatorial Problems in Power-law Graphs. - Tianjiao Li, Jun Liu, Wei Zhang, Yun Ni, Wenqian Wang, Zhiheng Li:
UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles. - Xuelun Shen, Cheng Wang, Xin Li, Qian Hu, Jingyi Zhang:
A Detector-oblivious Multi-arm Network for Keypoint Matching. - Angelo A. Salatino, Francesco Osborne, Thiviyan Thanapalasingam, Enrico Motta:
The CSO Classifier: Ontology-Driven Detection of Research Topics in Scholarly Articles. - Bedir Tekinerdogan, Kaan Özcan, Sevil Yagiz, Iskender Yakin:
Feature-Driven Survey of Physical Protection Systems. - Thomas Rojat, Raphaël Puget, David Filliat, Javier Del Ser, Rodolphe Gelin, Natalia Díaz Rodríguez:
Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey. - Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen:
Multitask Recalibrated Aggregation Network for Medical Code Prediction. - Ze Ma, Yifan Yao, Pan Ji, Chao Ma:
Learning Transferable Kinematic Dictionary for 3D Human Pose and Shape Reconstruction. - Suman V. Ravuri, Karel Lenc, Matthew Willson, Dmitry Kangin, Rémi Lam, Piotr Mirowski, Megan Fitzsimons, Maria Athanassiadou, Sheleem Kashem, Sam Madge, Rachel Prudden, Amol Mandhane, Aidan Clark, Andrew Brock, Karen Simonyan, Raia Hadsell, Niall H. Robinson, Ellen Clancy, Alberto Arribas, Shakir Mohamed:
Skillful Precipitation Nowcasting using Deep Generative Models of Radar. - Yuan Gao, Maoguo Gong, Yu Xie, A. Kai Qin:
An attention-based unsupervised adversarial model for movie review spam detection. - Theodoros Giannakas, Pavlos Sermpezis, Anastasios Giovanidis, Thrasyvoulos Spyropoulos, George Arvanitakis:
Fairness in Network-Friendly Recommendations. - Jiaojiao Zhao, Xinyu Li, Chunhui Liu, Bing Shuai, Hao Chen, Cees G. M. Snoek, Joseph Tighe:
TubeR: Tube-Transformer for Action Detection. - Jiahua Xu, Nikhil Vadgama:
From banks to DeFi: the evolution of the lending market. - Blaz Bertalanic, Marko Meza, Carolina Fortuna:
Time Series Imaging for Link Layer Anomaly Classification in Wireless Networks. - Emma Chiaramello, Francesco Pinciroli, Alberico Bonalumi, Angelo Caroli, Gabriella Tognola:
Use of 'off-the-shelf' information extraction algorithms in clinical informatics: a feasibility study of MetaMap annotation of Italian medical notes. - Joze M. Rozanec, Patrik Zajec, Klemen Kenda, Inna Novalija, Blaz Fortuna, Dunja Mladenic, Entso Veliou, Dimitrios Papamartzivanos, Thanassis Giannetsos, Sofia-Anna Menesidou, Rubén Alonso, Nino Cauli, Diego Reforgiato Recupero, Dimosthenis Kyriazis, Georgios Sofianidis, Spyros Theodoropoulos, John Soldatos:
STARdom: an architecture for trusted and secure human-centered manufacturing systems. - Umair Qudus, Muhammad Saleem, Axel-Cyrille Ngonga Ngomo, Young-Koo Lee:
An Empirical Evaluation of Cost-based Federated SPARQL Query Processing Engines. - Nicolas Olivain, Philipp Tiefenbacher, Jens Kohl:
Bayesian Structural Learning for an Improved Diagnosis of Cyber-Physical Systems. - Arka Sadhu, Tanmay Gupta, Mark Yatskar, Ram Nevatia, Aniruddha Kembhavi:
Visual Semantic Role Labeling for Video Understanding. - Arkopal Dutt, Andrey Y. Lokhov, Marc Vuffray, Sidhant Misra:
Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics. - Jiaojiao Zhao, Cees G. M. Snoek:
LiftPool: Bidirectional ConvNet Pooling. - Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari:
Residual whiteness principle for automatic parameter selection in 𝓁2-𝓁2 image super-resolution problems. - Xuye Liu, Dakuo Wang, April Yi Wang, Lingfei Wu:
HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks. - Ion Victor Gosea, Serkan Gugercin, Christopher Beattie:
Data-driven balancing of linear dynamical systems. - Amir Mohammad Naseri, Walter Lucia, Mohammad Mannan, Amr M. Youssef:
On Securing Cloud-hosted Cyber-physical Systems Using Trusted Execution Environments. - Ion Victor Gosea, Serkan Gugercin, Benjamin Unger:
Parametric model reduction via rational interpolation along parameters. - Matthew Schmittle, Sanjiban Choudhury, Siddhartha S. Srinivasa:
Learning Online from Corrective Feedback: A Meta-Algorithm for Robotics. - Benjamin Kahl:
Human Biases Preventing The Widespread Adoption Of Self-Driving Cars. - Seyedrebvar Hosseini, Burak Turhan:
A Comparison of Similarity Based Instance Selection Methods for Cross Project Defect Prediction. - Ying He, Zhili Shen, Chang Xia, Jingyu Hua, Wei Tong, Sheng Zhong:
RABA: A Robust Avatar Backdoor Attack on Deep Neural Network. - Wei-Ning Hsu, Anuroop Sriram, Alexei Baevski, Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap, Jacob Kahn, Ann Lee, Ronan Collobert, Gabriel Synnaeve, Michael Auli:
Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training. - Tiago Santos, Keith Burghardt, Kristina Lerman, Denis Helic:
Limiting Tags Fosters Efficiency. - Tiago Santos, Florian Lemmerich, Denis Helic:
Surfacing Estimation Uncertainty in the Decay Parameters of Hawkes Processes with Exponential Kernels. - Zeyu Wang, Sheng Huang, Zhongxin Liu, Meng Yan, Xin Xia, Bei Wang, Dan Yang:
Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network. - Chong Zheng, Shengheng Liu, Yongming Huang, Luxi Yang:
Hybrid Policy Learning for Energy-Latency Tradeoff in MEC-Assisted VR Video Service. - Perceval Wajsbürt, Yoann Taillé, Xavier Tannier:
Effect of depth order on iterative nested named entity recognition models. - Igor Halperin:
Distributional Offline Continuous-Time Reinforcement Learning with Neural Physics-Informed PDEs (SciPhy RL for DOCTR-L). - Titouan Carette, Yohann D'Anello, Simon Perdrix:
Quantum Algorithms and Oracles with the Scalable ZX-calculus. 193-209 - Neil Rajiv Shirude, Sagnik Mukherjee, Tushar Shandhilya, Ananta Mukherjee, Ashutosh Modi:
IITK@LCP at SemEval 2021 Task 1: Classification for Lexical Complexity Regression Task. - Carlin MacKenzie, Jacques D. Fleuriot, James Vaughan:
An Evaluation of the Archive of Formal Proofs. - Kyriakos Georgiou, Zbigniew Chamski, Kris Nikov, Kerstin Eder:
A Comprehensive and Accurate Energy Model for Arm's Cortex-M0 Processor. - Kumar Vijay Mishra, M. Ashok Kumar:
Hybrid and Generalized Bayesian Cramér-Rao Inequalities via Information Geometry. - Raghvendra Mall, Shameem Ahamed Puthiya Parambath, Han Yufei, Ting Yu, Sanjay Chawla:
Permutation-Invariant Subgraph Discovery. - Ryan Kavanagh:
Fairness and Observed Communication Semantics for Session-Typed Languages. - Rafael Kaufmann, Pranav Gupta, Jacob Taylor:
An active inference model of collective intelligence. - Minghang He, Minghui Liao, Zhibo Yang, Humen Zhong, Jun Tang, Wenqing Cheng, Cong Yao, Yongpan Wang, Xiang Bai:
MOST: A Multi-Oriented Scene Text Detector with Localization Refinement. - Xinjie Li, Guojia Hou, Kunqian Li:
Enhancing Underwater Image via Adaptive Color and Contrast Enhancement, and Denoising. - Adeyinka K. Akanbi:
ESTemd: A Distributed Processing Framework for Environmental Monitoring based on Apache Kafka Streaming Engine. - Mark Anderson, Carlos Gómez-Rodríguez:
What Taggers Fail to Learn, Parsers Need the Most. - Antoine Fond, Luca Del Pero, Nikola Sivacki, Marco Paladini:
End-to-end learning of keypoint detection and matching for relative pose estimation. - Dan A. Calian, Florian Stimberg, Olivia Wiles, Sylvestre-Alvise Rebuffi, András György, Timothy A. Mann, Sven Gowal:
Defending Against Image Corruptions Through Adversarial Augmentations. - Atakan Arasan, Cagatay Basdogan, T. Metin Sezgin:
HaptiStylus: A Novel Stylus Capable of Displaying Movement and Rotational Torque Effects. - Omer Sirin, Allan Barrea, Philippe Lefèvre, Jean-Louis Thonnard, Cagatay Basdogan:
Fingerpad Contact Evolution Under Electrovibration. - (Withdrawn) SMET: Scenario-based Metamorphic Testing for Autonomous Driving Models.
- Thomas Müller, Julian Martin Eisenschlos, Syrine Krichene:
TAPAS at SemEval-2021 Task 9: Reasoning over tables with intermediate pre-training. - Linjian Ma, Edgar Solomonik:
Fast and Accurate Randomized Algorithms for Low-rank Tensor Decompositions. - Octave Mariotti, Hakan Bilen:
Semi-supervised Viewpoint Estimation with Geometry-aware Conditional Generation. - Yanyuan Qin:
Adaptive Bitrate Streaming Over Cellular Networks: Rate Adaptation and Data Savings Strategies. - Sunday C. Ngwobia, Saeedeh Shekarpour, Faisal Alshargi:
Capturing Knowledge of Emerging Entities From Extended Search Snippets. - Vlad Atanasiu, Isabelle Marthot-Santaniello:
Legibility Enhancement of Papyri Using Color Processing and Visual Illusions: A Case Study in Critical Vision. - Felix Ambellan, Stefan Zachow, Christoph von Tycowicz:
Geodesic B-Score for Improved Assessment of Knee Osteoarthritis. - Qi Fan, Deng-Ping Fan, Huazhu Fu, Chi-Keung Tang, Ling Shao, Yu-Wing Tai:
Group Collaborative Learning for Co-Salient Object Detection. - Neil Joshi, Philippe M. Burlina:
AI Fairness via Domain Adaptation. - Pengzhen Ren, Gang Xiao, Xiaojun Chang, Yun Xiao, Zhihui Li, Xiaojiang Chen:
NAS-TC: Neural Architecture Search on Temporal Convolutions for Complex Action Recognition. - Xiaojun Chang, Pengzhen Ren, Pengfei Xu, Zhihui Li, Xiaojiang Chen, Alex Hauptmann:
Scene Graphs: A Survey of Generations and Applications. - Sean Welleck, Jiacheng Liu, Ronan Le Bras, Hannaneh Hajishirzi, Yejin Choi, Kyunghyun Cho:
NaturalProofs: Mathematical Theorem Proving in Natural Language. - Satvik Garg:
Drug Recommendation System based on Sentiment Analysis of Drug Reviews using Machine Learning. - Jason Wang, Robert E. Weiss:
Local and Global Topics in Text Modeling of Web Pages Nested in Web Sites. - Sami Diaf, Ulrich Fritsche:
Topic Scaling: A Joint Document Scaling - Topic Model Approach To Learn Time-Specific Topics. - Anastasios Tsiamis, George J. Pappas:
Linear Systems can be Hard to Learn. - Tsu-Jui Fu, Xin Eric Wang, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang:
Language-based Video Editing via Multi-Modal Multi-Level Transformer. - Yiqiu Wang, Shangdi Yu, Yan Gu, Julian Shun:
Fast Parallel Algorithms for Euclidean Minimum Spanning Tree and Hierarchical Spatial Clustering. - Yu Zhang, Martijn Tennekes, Tim J. A. de Jong, R. Lyana Curier, Bob Coecke, Min Chen:
Using Simulation to Aid the Design and Optimization of Intelligent User Interfaces for Quality Assurance Processes in Machine Learning. - Matthias Christandl, Omar Fawzi, Hoang Ta, Jeroen Zuiddam:
Communication Complexity, Corner-Free Sets and the Symmetric Subrank of Tensors. - Harshita Chopra, Aniket Vashishtha, Ridam Pal, Ashima, Ananya Tyagi, Tavpritesh Sethi:
Mining Trends of COVID-19 Vaccine Beliefs on Twitter with Lexical Embeddings. - Benjamin Graham, Alaaeldin El-Nouby, Hugo Touvron, Pierre Stock, Armand Joulin, Hervé Jégou, Matthijs Douze:
LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference. - Spencer He, Ryan Liu:
Developing a New Autism Diagnosis Process Based on a Hybrid Deep Learning Architecture Through Analyzing Home Videos. - Handing Xu, Zhenguo Nie, Qingfeng Xu, Xinjun Liu:
SuperMeshing: A Novel Method for Boosting the Mesh Density in Numerical Computation within 2D Domain. - Venera Tomaselli, Giulio Giacomo Cantone, Valeria Mazzeo:
The polarising effect of Review Bomb. - Dmitriy Y. Anistratov:
Multilevel Iteration Method for Binary Stochastic Transport Problems. - Vitor Enes, Carlos Baquero, Alexey Gotsman, Pierre Sutra:
Efficient Replication via Timestamp Stability (Extended Version). - Michiel Overeem, Marten Spoor, Slinger Jansen, Sjaak Brinkkemper:
An Empirical Characterization of Event Sourced Systems and Their Schema Evolution - Lessons from Industry. - Karl Stelzner, Kristian Kersting, Adam R. Kosiorek:
Decomposing 3D Scenes into Objects via Unsupervised Volume Segmentation. - Debanjan Datta, Sathappan Muthiah, Naren Ramakrishnan:
Detecting Anomalies Through Contrast in Heterogeneous Data. - Wenjie Luo, Zhenyu Yan, Qun Song, Rui Tan:
PhyAug: Physics-Directed Data Augmentation for Deep Sensing Model Transfer in Cyber-Physical Systems. - Lam Pham, Chris Baume, Qiuqiang Kong, Tassadaq Hussain, Wenwu Wang, Mark D. Plumbley:
An Audio-Based Deep Learning Framework ForBBC Television Programme Classification. - Siyuan Dong, Devesh K. Jha, Diego Romeres, Sangwoon Kim, Daniel Nikovski, Alberto Rodriguez:
Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry. - Lucas Porto Maziero, Fábio Luiz Usberti, Celso Cavellucci:
Branch-and-cut algorithms for the covering salesman problem. - Antonio Sánchez-Bayón, Miguel Ángel García-Ramos Lucero, Annie Ng Cheng San, Choy Johnn Yee, Krishna Moorthy, Alex Foo Tun Lee, Angelita Kithatu-Kiwekete, Shikha Vyas-Doorgapersad, Anthony Kiryagana Isabirye, Nobukhosi Dlodlo, Lydia Mbati, Edmore Tarambiwa, Chengedzai Mafini, Anastas Djurovski, Ephrem Habtemichael Redda, Jhalukpreya Surujlal:
Trends in eBusiness and eGovernment. - Colin White, Arber Zela, Binxin Ru, Yang Liu, Frank Hutter:
How Powerful are Performance Predictors in Neural Architecture Search? - Krishnendu Chatterjee, Ehsan Kafshdar Goharshady, Petr Novotný, Dorde Zikelic:
Proving Non-termination by Program Reversal. - Fang Li, Huaduo Wang, Gopal Gupta:
grASP: A Graph Based ASP-Solver and Justification System. - Lavone Rodolph, M. S. S. Q. Zulkar Nine, Luigi Di Tacchio, Tevfik Kosar:
Energy-saving Cross-layer Optimization of Big Data Transfer Based on Historical Log Analysis. - Ana Ozaki:
Learning Description Logic Ontologies. Five Approaches. Where Do They Stand? - Amanpreet Singh, Martin Bauer, Sarang C. Joshi:
Physics Informed Convex Artificial Neural Networks (PICANNs) for Optimal Transport based Density Estimation. - Daniel O. Martínez-Rivillas, Ruy J. G. B. de Queiroz:
Solving Homotopy Domain Equations. - Luc Berger-Vergiat, Brian Kelley, Sivasankaran Rajamanickam, Jonathan J. Hu, Katarzyna Swirydowicz, Paul Mullowney, Stephen J. Thomas, Ichitaro Yamazaki:
Two-Stage Gauss-Seidel Preconditioners and Smoothers for Krylov Solvers on a GPU cluster. - Mihnea C. Moldoveanu, Joel A. C. Baum:
Knowledge, Trust, Security and Covertness In Massively Distributed Social Platforms: An Epistemic Networks Approach. - Xitong Yang, Haoqi Fan, Lorenzo Torresani, Larry Davis, Heng Wang:
Beyond Short Clips: End-to-End Video-Level Learning with Collaborative Memories. - Sarthak Dash, Nandana Mihindukulasooriya, Alfio Gliozzo, Mustafa Canim:
Type Prediction Systems. - Hao Deng, Praveen S. Vulimiri, Albert C. To:
An efficient 146-line 3D sensitivity analysis code of stress-based topology optimization written in MATLAB. - Inon Peled, Filipe Rodrigues, Francisco C. Pereira:
Modeling Censored Mobility Demand through Quantile Regression Neural Networks. - Lynnette Hui Xian Ng, Kathleen M. Carley:
The Coronavirus is a Bioweapon: Analysing Coronavirus Fact-Checked Stories. - Loïc Peter, Daniel C. Alexander, Caroline Magnain, Juan Eugenio Iglesias:
Uncertainty-Aware Annotation Protocol to Evaluate Deformable Registration Algorithms. - Mangqing Guo, Mustafa Cenk Gursoy:
Channel Estimation for Intelligent Reflecting Surface Assisted Wireless Communications. - Boris S. Kashin, Vladimir N. Temlyakov:
A remark on discretization of the uniform norm. - Athanasios Tsiligkaridis, Theodoros Tsiligkaridis:
Misclassification-Aware Gaussian Smoothing improves Robustness against Domain Shifts. - Ravikiran Mane, Effie Chew, Karen Sui Geok Chua, Kai Keng Ang, Neethu Robinson, A. Prasad Vinod, Seong-Whan Lee, Cuntai Guan:
FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer Interface. - Leila Namvari Tazeh-Kand, Saeid Pashazadeh:
Investigating the Reliability in Three RAID Storage Models and Effect of Ordering Replicas on Disks. - Stephanie Weirich, Benjamin C. Pierce:
ICFP 2020 Post-Conference Report. - Darshana Balakrishnan, Carl Nuessle, Oliver Kennedy, Lukasz Ziarek:
TreeToaster: Towards an IVM-Optimized Compiler. - Peter D. Turney:
Major Cooperative Transitions and Management Theory in the Game of Life. - Benjamin Kahl:
Autonomous Driving Data Chain & Interfaces. - Daniel Bielich, Julien Langou, Stephen J. Thomas, Kasia Swirydowicz, Ichitaro Yamazaki, Erik G. Boman:
Low-Synch Gram-Schmidt with Delayed Reorthogonalization for Krylov Solvers. - Ayesha Arshad, Attique Ur Rehman, Sabeen Javaid, Tahir Muhammad Ali, Javed Anjum Sheikh, Muhammad Azeem:
A Systematic Literature Review on Phishing and Anti-Phishing Techniques. - Zhenzhen Weng, Mehmet Giray Ogut, Shai Limonchik, Serena Yeung:
Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision. - Takuya Kiyokawa, Hiroki Katayama, Yuya Tatsuta, Jun Takamatsu, Tsukasa Ogasawara:
Robotic Waste Sorter with Agile Manipulation and Quickly Trainable Detector. - Kailash Subramanian, Joshua M. Williams, Daniel C. DeAnda, Aditya A. Agrawal, Andrei Racila, Aditi R. Prabhu, Lawrence Redlinger, Christopher Wendt, Ravi Prakash:
Small World Student Network at the University of Texas at Dallas in Times of Social Distancing. - Aatif Jiwani, Shubhrakanti Ganguly, Chao Ding, Nan Zhou, David M. Chan:
A Semantic Segmentation Network for Urban-Scale Building Footprint Extraction Using RGB Satellite Imagery. - Qingyun Dou, Yiting Lu, Potsawee Manakul, Xixin Wu, Mark J. F. Gales:
Attention Forcing for Machine Translation. - Kenneth Holstein, Vincent Aleven:
Designing for human-AI complementarity in K-12 education. - Benno Stein, Bor-Yuh Evan Chang, Manu Sridharan:
Demanded Abstract Interpretation (Extended Version). - Chao-Han Huck Yang, Sabato Marco Siniscalchi, Chin-Hui Lee:
PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification. - Azarakhsh Keipour, Guilherme A. S. Pereira, Rogerio Bonatti, Rohit Garg, Puru Rastogi, Geetesh Dubey, Sebastian A. Scherer:
Visual Servoing Approach for Autonomous UAV Landing on a Moving Vehicle. - Amjed Tahir, Sherlock A. Licorish, Stephen G. MacDonell:
Feature Evolution and Reuse - An Exploratory Study of Eclipse. - Sjoerd Dirksen, Johannes Maly, Holger Rauhut:
Covariance estimation under one-bit quantization. - Stefano M. P. C. Souza, Daniel G. Silva:
Monte Carlo execution time estimation for Privacy-preserving Distributed Function Evaluation protocols. - Arnau Rovira-Sugranes, Fatemeh Afghah, Jacob Chakareski, Abolfazl Razi:
A Review of AI-enabled Routing Protocols for UAV Networks: Trends, Challenges, and Future Outlook. - Zhaoxuan Zhu, Shobhit Gupta, Nicola Pivaro, Shreshta Rajakumar Deshpande, Marcello Canova:
A GPU Implementation of a Look-Ahead Optimal Controller for Eco-Driving Based on Dynamic Programming. - Astuti Sharma, Tarun Kalluri, Manmohan Chandraker:
Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation. - Akshat Gupta, Sai Krishna Rallabandi, Alan W. Black:
Intent Recognition and Unsupervised Slot Identification for Low Resourced Spoken Dialog Systems. - Jinghui Liao, Fengwei Zhang, Wenhai Sun, Weisong Shi:
Speedster: A TEE-assisted State Channel System. - Jonathan Dunn, Tom Coupe, Benjamin Adams:
Measuring Linguistic Diversity During COVID-19. - Bowen Shi, Diane Brentari, Greg Shakhnarovich, Karen Livescu:
Fingerspelling Detection in American Sign Language. - Emmett Padway, Hiroaki Nishikawa:
Resolving Confusion Over Third Order Accuracy of U-MUSCL. - Jonathan Dunn:
Representations of Language Varieties Are Reliable Given Corpus Similarity Measures. - Jonathan Dunn:
Multi-Unit Directional Measures of Association: Moving Beyond Pairs of Words. - Jonathan Dunn:
Finding Variants for Construction-Based Dialectometry: A Corpus-Based Approach to Regional CxGs. - Palak Tiwary, Sanjida Ahmed:
Multimedia Technology Applications and Algorithms: A Survey. - Xizi Chen, Jingyang Zhu, Jingbo Jiang, Chi-Ying Tsui:
Tight Compression: Compressing CNN Through Fine-Grained Pruning and Weight Permutation for Efficient Implementation. - Jeffrey Tumminia, Amanda Kuznecov, Sophia Tsilerides, Ilana Weinstein, Brian McFee, Michael Picheny, Aaron R. Kaufman:
Diarization of Legal Proceedings. Identifying and Transcribing Judicial Speech from Recorded Court Audio. - Haoyu Huang, Shahram Ghandeharizadeh:
Nova-LSM: A Distributed, Component-based LSM-tree Key-value Store. - Jonathan Dunn:
Global Syntactic Variation in Seven Languages: Towards a Computational Dialectology. - Tete Ji, Chen Wang, Lihua Xie:
Towards Real-time Semantic RGB-D SLAM in Dynamic Environments. - Zhuyu Yao, Jiangbo Ai, Boxun Li, Chi Zhang:
Efficient DETR: Improving End-to-End Object Detector with Dense Prior. - Wolfgang Utschick, Valentina Rizzello, Michael Joham, Zhengxiang Ma, Leonard Piazzi:
Learning the CSI Recovery in FDD Systems. - Yan Zhang, Fei Zhao, Zhiwei Liao:
A DMP-based Framework for Efficiently Generating Complete Stiffness Profiles of Human-like Variable Impedance Skill from Demonstrations. - Joy Hsu, Wah Chiu, Serena Yeung:
DARCNN: Domain Adaptive Region-based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images. - Florian Dandl, Roman Engelhardt, Klaus Bogenberger:
On the Dynamism of User Rejections in Mobility-on-Demand Systems. - Antonios Katsarakis, Yijun Ma, Zhaowei Tan, Andrew Bainbridge, Matthew Balkwill, Aleksandar Dragojevic, Boris Grot, Bozidar Radunovic, Yongguang Zhang:
Zeus: Locality-aware Distributed Transactions. - Dimity Miller, Niko Sünderhauf, Michael Milford, Feras Dayoub:
Uncertainty for Identifying Open-Set Errors in Visual Object Detection. - Leonardo Rossi, Akbar Karimi, Andrea Prati:
Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing. - Hossein Moosaei, Ahmad Mousavi, Milan Hladík, Zheming Gao:
Sparse Universum Quadratic Surface Support Vector Machine Models for Binary Classification. - Armin Beer, Michael Felderer, Tobias Lorey, Stefan Mohacsi:
Aspects of Sustainable Test Processes. - Harish Doddi, Saurav Talukdar, Murti V. Salapaka:
Energetics of Feedback: Application to Memory Erasure. - Santiago Matalonga, Domenico Amalfitano, Andréa Cristina de Souza Doreste, Anna Rita Fasolino, Guilherme H. Travassos:
Alternatives for Testing of Context-Aware Contemporary Software Systems in industrial settings: Results from a Rapid review. - Masaki Kitayama, Hitoshi Kiya:
Generation of Gradient-Preserving Images allowing HOG Feature Extraction. - Insu Han, Haim Avron, Neta Shoham, Chaewon Kim, Jinwoo Shin:
Random Features for the Neural Tangent Kernel. - Young Jin Heo, Young Ju Choi, Young-Woon Lee, Byung-Gyu Kim:
Deepfake Detection Scheme Based on Vision Transformer and Distillation. - Ermin Sakic, Petra Vizarreta, Wolfgang Kellerer:
SEER: Performance-Aware Leader Election in Single-Leader Consensus. - Ugo de'Liguoro, Riccardo Treglia:
Intersection Types for a Computational Lambda-Calculus with Global State. - Md. Tahmid Rashid, Na Wei, Dong Wang:
A Survey on Social-Physical Sensing. - Diego Gabriel Krivochen:
From n-grams to trees in Lindenmayer systems. - Akash Gangwar, Sabhay Jain, Shubham Sourav, Ashutosh Modi:
Counts@IITK at SemEval-2021 Task 8: SciBERT Based Entity And Semantic Relation Extraction For Scientific Data. - Erik Burman, Riccardo Puppi:
Two mixed finite element formulations for the weak imposition of the Neumann boundary conditions for the Darcy flow. - Teimour Hosseinalizadeh, Fatih Turkmen, Nima Monshizadeh:
Private Computation of Polynomials over Networks. - Hayate Iso, Xiaolan Wang, Yoshihiko Suhara, Stefanos Angelidis, Wang-Chiew Tan:
Convex Aggregation for Opinion Summarization. - Ioannis Kakogeorgiou, Konstantinos Karantzalos:
Evaluating Explainable Artificial Intelligence Methods for Multi-label Deep Learning Classification Tasks in Remote Sensing. - Junbo Zhang, Zhiwen Zhang, Yongqing Wang, Zhiyong Yan, Qiong Song, Yukai Huang, Ke Li, Daniel Povey, Yujun Wang:
speechocean762: An Open-Source Non-native English Speech Corpus For Pronunciation Assessment. - Tsubasa Murate, Takashi Watanabe, Masaki Yamada:
Learning Mobile CNN Feature Extraction Toward Fast Computation of Visual Object Tracking. - Yinan Li, Zhibing Sun, Jun Liu:
A Specification-Guided Framework for Temporal Logic Control of Nonlinear Systems. - Itamar Cohen, Gil Einziger, Gabriel Scalosub:
Self-adjusting Advertisement of Cache Indicators with Bandwidth Constraints. - HaoChih Lin, Baopu Li, Xin Zhou, Jiankun Wang, Max Q.-H. Meng:
No Need for Interactions: Robust Model-Based Imitation Learning using Neural ODE. - Roberto Gorrieri:
Place Bisimilarity is Decidable, Indeed! - Tsz Kin Lam, Mayumi Ohta, Shigehiko Schamoni, Stefan Riezler:
On-the-Fly Aligned Data Augmentation for Sequence-to-Sequence ASR. - Yash Khare, Viraj Bagal, Minesh Mathew, Adithi Devi, U. Deva Priyakumar, C. V. Jawahar:
MMBERT: Multimodal BERT Pretraining for Improved Medical VQA. - Lior Aloni, Omer Bobrowski, Ronen Talmon:
Joint Geometric and Topological Analysis of Hierarchical Datasets. - Marco Casadio, Matthew L. Daggitt, Ekaterina Komendantskaya, Wen Kokke, Daniel Kienitz, Rob Stewart:
Property-driven Training: All You (N)Ever Wanted to Know About. - Tatsuya Chuman, Hitoshi Kiya:
Block Scrambling Image Encryption Used in Combination with Data Augmentation for Privacy-Preserving DNNs. - Zicheng Ye, Huazi Zhang, Rong Li, Jun Wang, Guiying Yan, Zhiming Ma:
Improving the Gilbert-Varshamov Bound by Graph Spectral Method. - Derek Lim, Xiuyu Li, Felix Hohne, Ser-Nam Lim:
New Benchmarks for Learning on Non-Homophilous Graphs. - Nuno M. Garcia:
The Internet Protocol - Past, some current limitations and a glimpse of a possible future. - Rui Liu, Berrak Sisman, Haizhou Li:
Reinforcement Learning for Emotional Text-to-Speech Synthesis with Improved Emotion Discriminability. - Muhammad Jamal Shehab, Bekir Sait Ciftler, Tamer Khattab, Mohamed M. Abdallah, Daniele Trinchero:
Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA. - Lei Shi:
A Design Process of Visual Analytics Applications using Conceptual Graph. - Xidong Mu, Yuanwei Liu, Li Guo, Jiaru Lin, Robert Schober:
Simultaneously Transmitting And Reflecting (STAR) RIS Aided Wireless Communications. - Martin Q. Ma, Yue Zhao, Xiaorong Zhang, Leman Akoglu:
A Large-scale Study on Unsupervised Outlier Model Selection: Do Internal Strategies Suffice? - Md. Shamsujjoha, John C. Grundy, Li Li, Hourieh Khalajzadeh, Qinghua Lu:
Human-Centric Issues in eHealth App Development and Usage: A Preliminary Assessment. - Huasong Zhong, Jianlong Wu, Chong Chen, Jianqiang Huang, Minghua Deng, Liqiang Nie, Zhouchen Lin, Xian-Sheng Hua:
Graph Contrastive Clustering. - Yanhong Zeng, Jianlong Fu, Hongyang Chao, Baining Guo:
Aggregated Contextual Transformations for High-Resolution Image Inpainting. - Weizhu Bao, Quan Zhao:
A structure-preserving parametric finite element method for surface diffusion. - Austin Dukes, Andrea Ferraguti, Giacomo Micheli:
Optimal Selection for Good Polynomials of Degree up to Five. - Samujjwal Ghosh, Subhadeep Maji, Maunendra Sankar Desarkar:
Unsupervised Domain Adaptation with Global and Local Graph Neural Networks in Limited Labeled Data Scenario: Application to Disaster Management. - Jorino van Rhijn, Cornelis W. Oosterlee, Lech A. Grzelak, Shuaiqiang Liu:
Monte Carlo Simulation of SDEs using GANs. - Anay Mehrotra, Ayush Bansal, Awanish Pandey, Subhajit Roy:
Input Validation with Symbolic Execution. - Daniel Drzisga, Tobias Köppl, Barbara I. Wohlmuth:
Semi matrix-free twogrid shifted Laplacian preconditioner for the Helmholtz equation with near optimal shifts. - Vladislav Zhuzhel, Rodrigo Rivera-Castro, Nina Kaploukhaya, Liliya Mironova, Alexey Zaytsev, Evgeny Burnaev:
COHORTNEY: Deep Clustering for Heterogeneous Event Sequences. - Imane Guellil, Ahsan Adeel, Faiçal Azouaou, Mohamed Boubred, Yousra Houichi, Akram Abdelhaq Moumna:
Sexism detection: The first corpus in Algerian dialect with a code-switching in Arabic/ French and English. - Hideki Kawahara, Toshie Matsui, Kohei Yatabe, Ken-Ichi Sakakibara, Minoru Tsuzaki, Masanori Morise, Toshio Irino:
Mixture of orthogonal sequences made from extended time-stretched pulses enables measurement of involuntary voice fundamental frequency response to pitch perturbation. - Hao Xiong, Huanhui Cao, Lin Zhang, Wenjie Lu:
A Dynamics Perspective of Pursuit-Evasion Games of Intelligent Agents with the Ability to Learn. - Christian Pilato, Francesco Regazzoni:
High-Level Synthesis of Security Properties via Software-Level Abstractions. - Xueyuan Wang, Mustafa Cenk Gursoy:
Uplink Coverage in Heterogeneous mmWave Cellular Networks with Clustered Users. - Stephanie Soldavini, Christian Pilato:
Compiler Infrastructure for Specializing Domain-Specific Memory Templates. - Mark Mazumder, Colby R. Banbury, Josh Meyer, Pete Warden, Vijay Janapa Reddi:
Few-Shot Keyword Spotting in Any Language. - Namgil Lee, Heejung Yang, Hojin Yoo:
A surrogate loss function for optimization of Fβ score in binary classification with imbalanced data. - Yujie Qin, Mustafa A. Kishk, Mohamed-Slim Alouini:
On the Influence of Charging Stations Spatial Distribution on Aerial Wireless Networks. - Mahendra Panagoda, Tyrus Berry, Harbir Antil:
Convergence Analysis of the Rank-Restricted Soft SVD Algorithm. - Hosein Mohebbi, Ali Modarressi, Mohammad Taher Pilehvar:
Exploring the Role of BERT Token Representations to Explain Sentence Probing Results. - Habtamu Fanta, Zhiwen Shao, Lizhuang Ma:
"Forget" the Forget Gate: Estimating Anomalies in Videos using Self-contained Long Short-Term Memory Networks. - Shyam A. Tailor, Felix L. Opolka, Pietro Liò, Nicholas D. Lane:
Adaptive Filters and Aggregator Fusion for Efficient Graph Convolutions. - Edgar A. Bernal:
Training Deep Normalizing Flow Models in Highly Incomplete Data Scenarios with Prior Regularization. - Alina Vretinaris, Chuan Lei, Vasilis Efthymiou, Xiao Qin, Fatma Özcan:
Medical Entity Disambiguation Using Graph Neural Networks. - Negin Majidi, Ehsan Amid, Hossein Talebi, Manfred K. Warmuth:
Exponentiated Gradient Reweighting for Robust Training Under Label Noise and Beyond. - Rehana Mahfuz, Rajeev Sahay, Aly El Gamal:
Mitigating Gradient-based Adversarial Attacks via Denoising and Compression. - Yang Gao, Yi-Fan Li, Swarup Chandra, Latifur Khan, Bhavani Thuraisingham:
Towards Self-Adaptive Metric Learning On the Fly. - Lars Lindemann, Nikolai Matni, George J. Pappas:
STL Robustness Risk over Discrete-Time Stochastic Processes. - Elyes Balti, Brian L. Evans:
Adaptive Self-Interference Cancellation for Full-Duplex Wireless Communication Systems. - Tasmia Tasrin, Md Sultan Al Nahian, Habarakadage Perera, Brent Harrison:
Influencing Reinforcement Learning through Natural Language Guidance. - Yaxuan Zhu, Ruiqi Gao, Siyuan Huang, Song-Chun Zhu, Yingnian Wu:
Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis. - Steve Counsell, Tracy Hall, Thomas Shippey, David Bowes, Amjed Tahir, Stephen G. MacDonell:
Assert Use and Defectiveness in Industrial Code. - Zhiqi Chen, Ran Wang, Haojie Liu, Yao Wang:
PDWN: Pyramid Deformable Warping Network for Video Interpolation. - Sai Praveen Kadiyala, Kartheek Akella, Tram Truong-Huu:
Program Behavior Analysis and Clustering using Performance Counters. - Gabriele Farina, Andrea Celli, Alberto Marchesi, Nicola Gatti:
Simple Uncoupled No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium. - Omid Tarkhaneh, Neda Alipour, Amirahmad Chapnevis, Haifeng Shen:
Golden Tortoise Beetle Optimizer: A Novel Nature-Inspired Meta-heuristic Algorithm for Engineering Problems. - Md. Ahsanul Kabir, Tyler Phillips, Xiao Luo, Mohammad Al Hasan:
ASPER: Attention-based Approach to Extract Syntactic Patterns denoting Semantic Relations in Sentential Context. - Xinggang Wang, Jiapei Feng, Bin Hu, Qi Ding, Longjin Ran, Xiaoxin Chen, Wenyu Liu:
Weakly-supervised Instance Segmentation via Class-agnostic Learning with Salient Images. - Sihua Wang, Mingzhe Chen, Zhaohui Yang, Changchuan Yin, Walid Saad, Shuguang Cui, H. Vincent Poor:
Reinforcement Learning for Minimizing Age of Information in Real-time Internet of Things Systems with Realistic Physical Dynamics. - Liushuai Shi, Le Wang, Chengjiang Long, Sanping Zhou, Mo Zhou, Zhenxing Niu, Gang Hua:
SGCN: Sparse Graph Convolution Network for Pedestrian Trajectory Prediction. - Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Zhiwen Chen, Xiangyang Ji:
High-resolution Depth Maps Imaging via Attention-based Hierarchical Multi-modal Fusion. - Yuanbin Fu, Xiaojie Guo, Qiming Hu, Di Lin, Jiayi Ma, Haibin Ling:
Hierarchical Image Peeling: A Flexible Scale-space Filtering Framework. - Jiashu He:
Performance analysis of facial recognition: A critical review through glass factor. - Toshiki Hirao, Shane McIntosh, Akinori Ihara, Kenichi Matsumoto:
Code Reviews with Divergent Review Scores: An Empirical Study of the OpenStack and Qt Communities. - Juhong Min, Dahyun Kang, Minsu Cho:
Hypercorrelation Squeeze for Few-Shot Segmentation. - Jian Liang, Dapeng Hu, Ran He, Jiashi Feng:
Distill and Fine-tune: Effective Adaptation from a Black-box Source Model. - Zhenyu Jiang, Yifeng Zhu, Maxwell Svetlik, Kuan Fang, Yuke Zhu:
Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations. - Esha Singh, Anusha Bompelli, Ruyuan Wan, Jiang Bian, Serguei Pakhomov, Rui Zhang:
A Conversational Agent System for Dietary Supplements Use. - Timothy L. Molloy, Girish N. Nair:
Active Trajectory Estimation for Partially Observed Markov Decision Processes via Conditional Entropy. - Shengcai Liao, Ling Shao:
Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification. - Jingwen Hou, Sheng Yang, Weisi Lin, Baoquan Zhao, Yuming Fang:
Learning Image Aesthetic Assessment from Object-level Visual Components. - Hossein Karami, Antony Thomas, Fulvio Mastrogiovanni:
A Task-Motion Planning Framework Using Iteratively Deepened AND/OR Graph Networks. - Hao Wang, Xiang Bai, Mingkun Yang, Shenggao Zhu, Jing Wang, Wenyu Liu:
Scene Text Retrieval via Joint Text Detection and Similarity Learning. - He Wang, Yifei Shen, Ziyuan Wang, Dongsheng Li, Jun Zhang, Khaled B. Letaief, Jie Lu:
Decentralized Statistical Inference with Unrolled Graph Neural Networks. - Mingjiang Liu, Chengli Xiao, Chunlin Chen:
Perspective-corrected Spatial Referring Expression Generation for Human-Robot Interaction. - Marco Visca, Arthur Bouton, Roger S. Powell, Yang Gao, Saber Fallah:
Conv1D Energy-Aware Path Planner for Mobile Robots in Unstructured Environments. - Maurice Margenstern:
A strongly universal cellular automaton in the dodecagrid with five states. - Abhishek Mittal, Ashutosh Modi:
ReCAM@IITK at SemEval-2021 Task 4: BERT and ALBERT based Ensemble for Abstract Word Prediction. - Archit Bansal, Abhay Kaushik, Ashutosh Modi:
IITK@Detox at SemEval-2021 Task 5: Semi-Supervised Learning and Dice Loss for Toxic Spans Detection. - Rohan Gupta, Jay Mundra, Deepak Mahajan, Ashutosh Modi:
MCL@IITK at SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation using Augmented Data, Signals, and Transformers. - Geon Yeong Park, Sang Wan Lee:
Information-theoretic regularization for Multi-source Domain Adaptation. - Endri Kacupaj, Joan Plepi, Kuldeep Singh, Harsh Thakkar, Jens Lehmann, Maria Maleshkova:
Conversational Question Answering over Knowledge Graphs with Transformer and Graph Attention Networks. - Tze Yuang Chong, Xuyang Wang, Lin Yang, Junjie Wang:
TransfoRNN: Capturing the Sequential Information in Self-Attention Representations for Language Modeling. - Geon Yeong Park, Sang Wan Lee:
Reliably fast adversarial training via latent adversarial perturbation. - Sobirdzhon Bobiev:
Class-incremental Learning using a Sequence of Partial Implicitly Regularized Classifiers. - Cenk Gündogan, Christian Amsüss, Thomas C. Schmidt, Matthias Wählisch:
Networking Group Content: RESTful Multiparty Access to a Data-centric Web of Things. - Shreya Ghosh, Anwesha Mukherjee, Soumya K. Ghosh, Rajkumar Buyya:
STOPPAGE: Spatio-temporal Data Driven Cloud-Fog-Edge Computing Framework for Pandemic Monitoring and Management. - Zhihang Zhong, Yinqiang Zheng, Imari Sato:
Towards Rolling Shutter Correction and Deblurring in Dynamic Scenes. - Loren Lugosch, Piyush Papreja, Mirco Ravanelli, Abdelwahab Heba, Titouan Parcollet:
Timers and Such: A Practical Benchmark for Spoken Language Understanding with Numbers. - Yu Wang, Alper Kamil Bozkurt, Miroslav Pajic:
Reinforcement Learning with Temporal Logic Constraints for Partially-Observable Markov Decision Processes. - Heng-Jui Chang, Hung-yi Lee, Lin-Shan Lee:
Towards Lifelong Learning of End-to-end ASR. - Shashank Shailabh, Sajal Chaurasia, Ashutosh Modi:
KnowGraph@IITK at SemEval-2021 Task 11: Building KnowledgeGraph for NLP Research. - Andreea Danielescu:
OnTarget: An Electronic Archery Scoring. - Kathleen Siminyu, Xinjian Li, Antonios Anastasopoulos, David R. Mortensen, Michael R. Marlo, Graham Neubig:
Phoneme Recognition through Fine Tuning of Phonetic Representations: a Case Study on Luhya Language Varieties. - Marouen Kachroudi:
Revisiting Indirect Ontology Alignment : New Challenging Issues in Cross-Lingual Context. - Colin C. Ife, Yun Shen, Gianluca Stringhini, Steven J. Murdoch:
Marked for Disruption: Tracing the Evolution of Malware Delivery Operations Targeted for Takedown. - Rui Liu, Siddharth Bhatia, Bryan Hooi:
Isconna: Streaming Anomaly Detection with Frequency and Patterns. - Jia-Chang Feng, Fa-Ting Hong, Wei-Shi Zheng:
MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection. - Mohammad Mahdi Kamani, Rana Forsati, James Z. Wang, Mehrdad Mahdavi:
Pareto Efficient Fairness in Supervised Learning: From Extraction to Tracing. - Renate Krause, Joanne J. A. van Bavel, Chenxi Wu, Marc A. Vos, Alain Nogaret, Giacomo Indiveri:
Robust neuromorphic coupled oscillators for adaptive pacemakers. - Duy M. H. Nguyen, Thu T. Nguyen, Huong Vu, Quang Pham, Manh-Duy Nguyen, Binh T. Nguyen, Daniel Sonntag:
TATL: Task Agnostic Transfer Learning for Skin Attributes Detection. - Martin Weyssow, Houari A. Sahraoui, Eugene Syriani:
Recommending Metamodel Concepts during Modeling Activities with Pre-Trained Language Models. - Joel Oren, Chana Ross, Maksym Lefarov, Felix Richter, Ayal Taitler, Zohar Feldman, Christian Daniel, Dotan Di Castro:
SOLO: Search Online, Learn Offline for Combinatorial Optimization Problems. - Gaurav Suryawanshi, Varun Madhavan, Adway Mitra, Partha Pratim Chakrabarti:
City-scale Simulation of Covid-19 Pandemic and Intervention Policies using Agent-based Modelling. - Roni Con, Itzhak Tamo:
Nonlinear Repair Schemes of Reed-Solomon Codes. - Emilio Parisotto, Ruslan Salakhutdinov:
Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation. - Antony Thomas, Fulvio Mastrogiovanni, Marco Baglietto:
Probabilistic Collision Constraint for Motion Planning in Dynamic Environments. - Gábor Szárnyas, David A. Bader, Timothy A. Davis, James Kitchen, Timothy G. Mattson, Scott McMillan, Erik Welch:
LAGraph: Linear Algebra, Network Analysis Libraries, and the Study of Graph Algorithms. - Lokesh Krishna, Utkarsh A. Mishra, Guillermo A. Castillo, Ayonga Hereid, Shishir Kolathaya:
Learning Linear Policies for Robust Bipedal Locomotion on Terrains with Varying Slopes. - Rongqian Ma:
Curating China's Cultural Revolution (1966-1976): CR/10 as a Warburgian Memory Atlas and Digital Humanities Interface. - Hui Liu, Danqing Zhang, Bing Yin, Xiaodan Zhu:
Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning. - René Haberland:
A Logical Programming Language as an Instrument for Specifying and Verifying Dynamic Memory. - Jaeho Bang, Pramod Chunduri, Joy Arulraj:
EKO: Adaptive Sampling of Compressed Video Data. - Nicolas Zucchet, Simon Schug, Johannes von Oswald, Dominic Zhao, João Sacramento:
A contrastive rule for meta-learning. - Timothée Lesort, Massimo Caccia, Irina Rish:
Understanding Continual Learning Settings with Data Distribution Drift Analysis. - Grigor Gatchev, Valentin S. Mollov:
Faster Convolution Inference Through Using Pre-Calculated Lookup Tables. - Junshan Lin:
An adaptive boundary element method for the transmission problem with hyperbolic metamaterials. - Pedro Ferreira Torres:
Development and Modeling of a Low-voltage DC Distribution Nanogrid with Distributed Generation Systems. - Anthony Boulmier, Nabil Abdennadher, Bastien Chopard:
Optimal Load Balancing and Assessment of Existing Load Balancing Criteria. - Tuan Manh Lai, Heng Ji, Trung Bui, Quan Hung Tran, Franck Dernoncourt, Walter Chang:
A Context-Dependent Gated Module for Incorporating Symbolic Semantics into Event Coreference Resolution. - Ankit Wagle, Sunil P. Khatri, Sarma B. K. Vrudhula:
A Configurable BNN ASIC using a Network of Programmable Threshold Logic Standard Cells. - Hyounghun Kim, Abhay Zala, Graham Burri, Mohit Bansal:
FixMyPose: Pose Correctional Captioning and Retrieval. - Amit Verma, Mark W. Lewis:
Constraint Programming to Discover One-Flip Local Optima of Quadratic Unconstrained Binary Optimization Problems. - Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang:
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning. - Neil P. Chue Hong, Jeremy Cohen, Caroline Jay:
Understanding Equity, Diversity and Inclusion Challenges Within the Research Software Community. - Erkan Kayacan, Erdal Kayacan, Mojtaba Ahmadieh Khanesar:
Identification of Nonlinear Dynamic Systems Using Type-2 Fuzzy Neural Networks - A Novel Learning Algorithm and a Comparative Study. - Andrew Polar, Michael Poluektov:
Urysohn Forest for Aleatoric Uncertainty Quantification. - Tong Chen, Hongzhi Yin, Xiangliang Zhang, Zi Huang, Yang Wang, Meng Wang:
Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling. - Pedro Almir Oliveira, Rossana M. C. Andrade, Tales Paiva Nogueira, Isaac Barreto, Leandro Morais Bueno:
Issue Auto-Assignment in Software Projects with Machine Learning Techniques. - Yuwen Li:
Recovery-based a posteriori error analysis for plate bending problems. - Lucas Giusti, Leonardo Carvalho, Antônio Tadeu A. Gomes, Rafaelli Coutinho, Jorge de Abreu Soares, Eduardo S. Ogasawara:
Analyzing Flight Delay Prediction Under Concept Drift. - Shuyang Cao, Lu Wang:
Inference Time Style Control for Summarization. - Kaiqiang Song, Bingqing Wang, Zhe Feng, Fei Liu:
A New Approach to Overgenerating and Scoring Abstractive Summaries. - Jun Sung Choi, Vuk Marojevic, Carl B. Dietrich, Seungyoung Ahn:
DSRC-Enabled Train Safety Communication System at Unmanned Crossings. - Erkan Kayacan, Erdal Kayacan, Herman Ramon, Wouter Saeys:
Learning in Centralized Nonlinear Model Predictive Control: Application to an Autonomous Tractor-Trailer System. - Yuanwei Wu, Ziming Zhang, Guanghui Wang:
Branch-and-Pruning Optimization Towards Global Optimality in Deep Learning. - Zhenhua Chen, Chuhua Wang, David J. Crandall:
Adversarial Attack in the Context of Self-driving. - Yung-Han Ho, Guo-Lun Jin, Yun Liang, Wen-Hsiao Peng, Xiaobo Li:
A Dual-Critic Reinforcement Learning Framework for Frame-level Bit Allocation in HEVC/H.265. - Benjamin Carleton, Michael C. Chavrimootoo, Conor Taliancich:
A Critique of Keum-Bae Cho's Proof that P ⊊ NP. - Robin M. Schmidt:
Explainability-aided Domain Generalization for Image Classification. - Junxiong Wang, Immanuel Trummer, Debabrota Basu:
UDO: Universal Database Optimization using Reinforcement Learning. - Xuehu Liu, Pingping Zhang, Chenyang Yu, Huchuan Lu, Xuesheng Qian, Xiaoyun Yang:
A Video Is Worth Three Views: Trigeminal Transformers for Video-based Person Re-identification. - Sanjai Narain, Emily Mak, Dana Chee, Brendan J. Englot, Kishore Pochiraju, Niraj K. Jha, Karthik S. Narayan:
Fast Design Space Exploration of Nonlinear Systems: Part I. - Shaojie Tang, Jing Yuan:
Optimal Sampling Gaps for Adaptive Submodular Maximization. - Jia-Wei Chen, Li-Ju Chen, Chia-Mu Yu, Chun-Shien Lu:
Perceptual Indistinguishability-Net (PI-Net): Facial Image Obfuscation with Manipulable Semantics. - Dengsheng Chen, Haowen Deng, Jun Li, Duo Li, Yao Duan, Kai Xu:
Potential Convolution: Embedding Point Clouds into Potential Fields. - Keenan Venuti:
Predicting Mergers and Acquisitions using Graph-based Deep Learning. - Nitish Gupta, Sameer Singh, Matt Gardner, Dan Roth:
Paired Examples as Indirect Supervision in Latent Decision Models. - Yanhong Zeng, Jianlong Fu, Hongyang Chao:
3D Human Body Reshaping with Anthropometric Modeling. - Honorio Apaza Alanoca, Josimar E. Chire Saire, Jimy Frank Oblitas Cruz:
Comparative analysis of the government plans of the Peruvian presidential candidates, SDO(UN) and State Policies of the National Agreement based on NLP. - Dong He, Jie Cheng, Jong-Hwan Kim:
GSECnet: Ground Segmentation of Point Clouds for Edge Computing. - Junjie Huang, Duyu Tang, Wanjun Zhong, Shuai Lu, Linjun Shou, Ming Gong, Daxin Jiang, Nan Duan:
WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach. - Kunsong Zhao, Jin Liu, Zhou Xu, Li Li, Meng Yan, Jiaojiao Yu, Yuxuan Zhou:
Predicting Crash Fault Residence via Simplified Deep Forest Based on A Reduced Feature Set. - Han-Jia Ye, De-Chuan Zhan, Wei-Lun Chao:
Procrustean Training for Imbalanced Deep Learning. - Haimin Luo, Anpei Chen, Qixuan Zhang, Bai Pang, Minye Wu, Lan Xu, Jingyi Yu:
Convolutional Neural Opacity Radiance Fields. - Dinh C. Nguyen, Ming Ding, Quoc-Viet Pham, Pubudu N. Pathirana, Long Bao Le, Aruna Seneviratne, Jun Li, Dusit Niyato, H. Vincent Poor:
Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges.