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When Does Label Smoothing Help?
Simon Kornblith, Rafael Müller, Geoffrey Hinton , NeurIPS 2019 12 , 2019PythonFree
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When Deep Learning Met Code Search
Koushik Sen, Jose Cambronero, Seohyun Kim, Satish Chandra, Hongyu Li , ESEC/FSE 2019 - Proceedings of the 2019 27th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering , 2019Jupyter NotebookFree
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When Deep Learning Meets Digital Image Correlation
K. Abdelouahab, B. Blaysat, M. Grediac, F. Berry, S. Boukhtache, F. Sur , Optics and Lasers in Engineering , 2020PythonFree
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When Color Constancy Goes Wrong: Correcting Improperly White-Balanced Images
Brian Price, Mahmoud Afifi, Michael S. Brown, Scott Cohen , CVPR 2019 6 , 2019MATLABFree
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When Causal Intervention Meets Adversarial Examples and Image Masking for Deep Neural Networks
Yi-Chang James Tsai, Chao-Han Huck Yang, Pin-Yu Chen, Yi-Chieh Liu, Xiaoli Ma , Proceedings - International Conference on Image Processing, ICIP , 2019Jupyter NotebookFree
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When and Why are Pre-trained Word Embeddings Useful for Neural Machine Translation?
Graham Neubig, Ye Qi, Sarguna Janani Padmanabhan, Devendra Singh Sachan, Matthieu Felix , NAACL 2018 6 , 2018PythonFree
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What’s There in the Dark
Saptakatha Adak, Sauradip Nag, Sukhendu Das , 26th IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan 2019 9 , 2019PythonFree
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What’s Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering
Ashish Sabharwal, Peter Clark, Tushar Khot , IJCNLP 2019 11 , 2019PythonFree
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What’s in a Question: Using Visual Questions as a Form of Supervision
Abhinav Gupta, Siddha Ganju, Olga Russakovsky , CVPR 2017 7 , 2017LuaFree
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What’s in a Domain? Learning Domain-Robust Text Representations using Adversarial Training
Timothy Baldwin, Trevor Cohn, Yitong Li , NAACL 2018 6 , 2018PythonFree
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What’s Hidden in a Randomly Weighted Neural Network?
Mohammad Rastegari, Mitchell Wortsman, Vivek Ramanujan, Ali Farhadi, Aniruddha Kembhavi , CVPR 2020 6 , 2019PythonFree
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What’s Cookin’? Interpreting Cooking Videos using Text, Speech and Vision
Kevin Murphy, Jonathan Malmaud, Andrew Rabinovich, Nicholas Johnston, Jonathan Huang, Vivek Rathod , HLT 2015 5 , 2015UnspecifiedFree
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What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision
Kevin Murphy, Jonathan Malmaud, Nick Johnston, Andrew Rabinovich, Jonathan Huang, Vivek Rathod , NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics Human Language Technologies, Proceedings of the Conference , 2015UnspecifiedFree
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What Your Username Says About You
Mari Ostendorf, Aaron Jaech , EMNLP 2015 9 , 2015PythonFree
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What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations
Jing Li, Cuiyun Gao, Michael R. Lyu, Irwin King, Jichuan Zeng, Yulan He , TACL 2019 3 , 2019PythonFree
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What Would You Expect? Anticipating Egocentric Actions with Rolling-Unrolling LSTMs and Modality Attention
Giovanni Maria Farinella, Antonino Furnari , ICCV 2019 10 , 2019MultipleFree
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What value do explicit high level concepts have in vision to language problems?
Anthony Dick, Anton van den Hengel, Qi Wu, Lingqiao Liu, Chunhua Shen , CVPR 2016 6 , 2015MultipleFree
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What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall, Yarin Gal , NeurIPS 2017 12 , 2017MultipleFree
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What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment
Mohit Bansal, Matthew R. Walter, Hongyuan Mei , NAACL 2016 6 , 2015PythonFree
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What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features
YooJung Choi, Yitao Liang, Pasha Khosravi, Guy Van den Broeck , IJCAI International Joint Conference on Artificial Intelligence , 2019Jupyter NotebookFree
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What they do when in doubt: a study of inductive biases in seq2seq learners
Rahma Chaabouni, Eugene Kharitonov , arXiv preprint , 2020PythonFree
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What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction
Vincent Aravantinos, Christoph Schöller, Florian Lay, Alois Knoll , IEEE Robotics and Automation Letters , 2019MultipleFree
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What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning
Robert R. Tung, Dragomir R. Radev, Alexander R. Fabbri, Irene Li , arXiv preprint , 2018PythonFree
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What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning
Robert R. Tung, Dragomir R. Radev, Alexander R. Fabbri, Irene Li , 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019 , 2018PythonFree
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What Object Should I Use? – Task Driven Object Detection
Yaser Souri, Juergen Gall, Johann Sawatzky, Christian Grund , CVPR 2019 6 , 2019PythonFree
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What Matters in Unsupervised Optical Flow
Rico Jonschkowski, Kurt Konolige, Anelia Angelova, Jonathan T. Barron, Ariel Gordon, Austin Stone , ECCV 2020 8 , 2020CODE NOT FOUNDFree
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What Makes Training Multi-Modal Classification Networks Hard?
Weiyao Wang, Du Tran, Matt Feiszli , CVPR 2020 6 , 2019MultipleFree
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What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?
Thomas Brox, Eddy Ilg, Daniel Cremers, Nikolaus Mayer, Philipp Fischer, Caner Hazirbas, Alexey Dosovitskiy , International Journal of Computer Vision , 2018C++Free
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What Makes A Good Story? Designing Composite Rewards for Visual Storytelling
Yu Cheng, Junjie Hu, Jianfeng Gao, Zhe Gan, Jingjing Liu, Graham Neubig , Proceedings of the AAAI Conference on Artificial Intelligence , 2019PythonFree
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What made you do this? Understanding black-box decisions with sufficient input subsets
Jonas Mueller, Siddhartha Jain, Brandon Carter, David Gifford , AISTATS 2019 - 22nd International Conference on Artificial Intelligence and Statistics , 2018HTMLFree
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What Looks Good with my Sofa: Multimodal Search Engine for Interior Design
Łukasz Brocki, Ivona Tautkute, Tomasz Trzciński, Wojciech Stokowiec, Aleksandra Możejko, Krzysztof Marasek , Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017 , 2017Jupyter NotebookFree
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What it Thinks is Important is Important: Robustness Transfers through Input Gradients
Alvin Chan, Yew-Soon Ong, Yi Tay , CVPR 2020 6 , 2019PythonFree
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What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis
Junyeop Lee, Hwalsuk Lee, Seong Joon Oh, Sangdoo Yun, Sungrae Park, Jeonghun Baek, Geewook Kim, Dongyoon Han , ICCV 2019 10 , 2019Jupyter NotebookFree
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What is the State of Neural Network Pruning?
Jose Javier Gonzalez Ortiz, Davis Blalock, Jonathan Frankle, John Guttag , arXiv preprint , 2020PythonFree
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What is the Role of Recurrent Neural Networks (RNNs) in an Image Caption Generator?
Marc Tanti, Albert Gatt, Kenneth P. Camilleri , WS 2017 9 , 2017MultipleFree
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What is the Essence of a Claim? Cross-Domain Claim Identification
Christian Stab, Iryna Gurevych, Johannes Daxenberger, Ivan Habernal, Steffen Eger , EMNLP 2017 9 , 2017JavaFree
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What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models
Yonatan Belinkov, Nadir Durrani, Hassan Sajjad, Fahim Dalvi, Anthony Bau, James Glass , 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019 , 2018JavaScriptFree
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What is Normal, What is Strange, and What is Missing in a Knowledge Graph: Unified Characterization via Inductive Summarization
Xinyi Zheng, Danai Koutra, Jilles Vreeken, Caleb Belth , Proceedings of The Web Conference 2020 , 2020PythonFree
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What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network Performance
Michael S Brown, Mahmoud Afifi , ICCV 2019 10 , 2019MATLABFree
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What Does BERT Look At? An Analysis of BERT’s Attention
Urvashi Khandelwal, Christopher D. Manning, Kevin Clark, Omer Levy , WS 2019 8 , 2019Jupyter NotebookFree
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What Does BERT Learn about the Structure of Language?
Ganesh Jawahar, Djam{\'e} Seddah, Beno{\^\i}t Sagot , ACL 2019 7 , 2019PythonFree
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What does BERT know about books, movies and music? Probing BERT for Conversational Recommendation
Claudia Hauff, Gustavo Penha , Fourteenth ACM Conference on Recommender Systems , 2020PythonFree
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What do you learn from context? Probing for sentence structure in contextualized word representations
Adam Poliak, Benjamin Van Durme, Samuel R. Bowman, Patrick Xia, Najoung Kim, Alex Wang, R Thomas McCoy, Dipanjan Das, Ellie Pavlick, Ian Tenney, Berlin Chen , ICLR 2019 5 , 2019Jupyter NotebookFree
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What Do Single-view 3D Reconstruction Networks Learn?
Stephan R. Richter, Thomas Brox, Maxim Tatarchenko, Zhuwen Li, Vladlen Koltun, René Ranftl , CVPR 2019 6 , 2019Jupyter NotebookFree
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What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective
Li Zhang, Qinghua Hu, Banggu Wu, Peihua Li, Qilong Wang, Wangmeng Zuo, Dongwei Ren , CVPR 2020 6 , 2020PythonFree
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What Can Neural Networks Reason About?
Keyulu Xu, Jingling Li, Mozhi Zhang, Simon S. Du, Ken-ichi Kawarabayashi, Stefanie Jegelka , ICLR 2020 1 , 2019PythonFree
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What BERT is not: Lessons from a new suite of psycholinguistic diagnostics for language models
Allyson Ettinger , TACL 2020 1 , 2019PythonFree
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What Are People Asking About COVID-19? A Question Classification Dataset
Jason Wei, Chengyu Huang, Soroush Vosoughi, Jerry Wei , arXiv preprint , 2020PythonFree
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What Actions are Needed for Understanding Human Actions in Videos?
Abhinav Gupta, Gunnar A. Sigurdsson, Olga Russakovsky , ICCV 2017 10 , 2017PythonFree
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WHAM!: Extending Speech Separation to Noisy Environments
Gordon Wichern, Michael Flynn, Joe Antognini, Emmett McQuinn, Jonathan Le Roux, Dwight Crow, Licheng Richard Zhu, Ethan Manilow , Interspeech 2019 , 2019PythonFree
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WGANSing
Merlijn Blaauw, Pritish Chandna , Interspeech 2019 3 , 2019PythonFree
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WESPE: Weakly Supervised Photo Enhancer for Digital Cameras
Andrey Ignatov, Radu Timofte, Luc Van Gool, Nikolay Kobyshev, Kenneth Vanhoey , IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops , 2017MultipleFree
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WERd: Using Social Text Spelling Variants for Evaluating Dialectal Speech Recognition
Peter Bell, Ahmed Ali, Steve Renals, Preslav Nakov , 2017 IEEE Automatic Speech Recognition and Understanding Workshop, ASRU 2017 - Proceedings , 2017UnspecifiedFree
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Well-Read Students Learn Better: On the Importance of Pre-training Compact Models
Ming-Wei Chang, Kristina Toutanova, Kenton Lee, Iulia Turc , ICLR 2020 1 , 2019MultipleFree
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Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
Matthias Fey, Gaurav Rattan, Christopher Morris, Martin Grohe, William L. Hamilton, Jan Eric Lenssen, Martin Ritzert , 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019 , 2018MultipleFree
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WeightNet: Revisiting the Design Space of Weight Networks
Xiangyu Zhang, Jiawei Huang, Jian Sun, Ningning Ma , ECCV 2020 8 , 2020PythonFree
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Weightless: Lossy Weight Encoding For Deep Neural Network Compression
Gu-Yeon Wei, David Brooks, Robert Adolf, Brandon Reagen, Udit Gupta, Michael M. Mitzenmacher, Alexander M. Rush , ICML 2018 7 , 2017MultipleFree
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Weighted Transformer Network for Machine Translation
Richard Socher, Nitish Shirish Keskar, Karim Ahmed , ICLR 2018 1 , 2017MultipleFree
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Weighted Speech Distortion Losses for Neural-Network-Based Real-Time Speech Enhancement
Ross Cutler, Harishchandra Dubey, Sebastian Braun, Ivan Tashev, Chandan K. A. Reddy, Yangyang Xia , IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2020 2 , 2020UnspecifiedFree
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Weighted Spectral Embedding of Graphs
Alexandre Hollocou, Thomas Bonald, Marc Lelarge , 2018 56th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2018 , 2018Jupyter NotebookFree
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Weighted Random Search for CNN Hyperparameter Optimization
Razvan Andonie, Adrian-Catalin Florea , International Journal of Computers, Communications and Control , 2020GoFree
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Weighted Neural Bag-of-n-grams Model: New Baselines for Text Classification
Bofang Li, Zhe Zhao, Puwei Wang, Xiaoyong Du, Tao Liu , COLING 2016 12 , 2016CFree
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Weighted Linear Bandits for Non-Stationary Environments
Olivier Cappé, Claire Vernade, Yoan Russac , NeurIPS 2019 12 , 2019Jupyter NotebookFree
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Weighted Fisher Discriminant Analysis in the Input and Feature Spaces
Mark Crowley, Fakhri Karray, Milad Sikaroudi, Benyamin Ghojogh, H. R. Tizhoosh , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , 2020PythonFree
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Weight Uncertainty in Neural Networks
Julien Cornebise, Charles Blundell, Daan Wierstra, Koray Kavukcuoglu , 32nd International Conference on Machine Learning, ICML 2015 , 2015MultipleFree
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Weight Pruning via Adaptive Sparsity Loss
Georgios Goumas, George Retsinas, Petros Maragos, Athena Elafrou , arXiv preprint , 2020PythonFree
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Weight Poisoning Attacks on Pre-trained Models
Keita Kurita, Graham Neubig, Paul Michel , arXiv preprint , 2020Jupyter NotebookFree
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Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
Diederik P. Kingma, Tim Salimans , NeurIPS 2016 12 , 2016MultipleFree
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Weight Agnostic Neural Networks
Adam Gaier, David Ha , NeurIPS 2019 12 , 2019MultipleFree
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weedNet: Dense Semantic Weed Classification Using Multispectral Images and MAV for Smart Farming
Frank Liebisch, Roland Siegwart, Zetao Chen, Juan Nieto, Marija Popovic, Raghav Khanna, Inkyu Sa , IEEE Robotics and Automation Letters , 2017MatlabFree
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Web-Scale Image Clustering Revisited
Ioannis Z. Emiris, Yannis Kalantidis, Evangelos Anagnostopoulos, Yannis Avrithis , ICCV 2015 12 , 2015C++Free
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Web-based visualisation of head pose and facial expressions changes: monitoring human activity using depth data
Grigorios Kalliatakis, Nikolaos Vidakis, Georgios Triantafyllidis , 2016 8th Computer Science and Electronic Engineering Conference, CEEC 2016 - Conference Proceedings , 2017JavaScriptFree
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Web-based Argumentation
Kenrick , Computers and Education , 2016PythonFree
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Web Image Annotation via Subspace-Sparsity Collaborated Feature Selection
Zhigang Ma, Feiping Nie, Yi Yang, Jasper Uijlings, Nicu Sebe , IEEE Transactions on Multimedia , 2012MATLABFree
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Web & Personal Image Annotation by Mining Label Correlation with Relaxed Visual Graph Embedding
Yi Yang, Fei Wu, Feiping Nie, Heng Tao Shen, Yueting Zhuang, Alexander G. Hauptmann , IEEE Transactions on Image Processing , 2012MATLABFree
-
Weakly-supervised Visual Instrument-playing Action Detection in Videos
Shyh-Kang Jeng, Jen-Yu Liu, Yi-Hsuan Yang , IEEE Transactions on Multimedia , 2018PythonFree
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Weakly-Supervised Semantic Segmentation via Sub-category Exploration
Ming-Hsuan Yang, Qiaosong Wang, Wei-Chih Hung, Yi-Hsuan Tsai, Robinson Piramuthu, Yu-Ting Chang , CVPR 2020 6 , 2020PythonFree
-
Weakly-Supervised Semantic Segmentation Network With Deep Seeded Region Growing
Zilong Huang, Xinggang Wang, Jingdong Wang, Wenyu Liu, Jiasi Wang , CVPR 2018 6 , 2018PythonFree
-
Weakly-Supervised Salient Object Detection via Scribble Annotations
Xin Yu, Jing Zhang, Yuchao Dai, Bowen Liu, Aixuan Li, Peipei Song , CVPR 2020 6 , 2020PythonFree
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Weakly-Supervised Neural Text Classification
Yu Meng, Chao Zhang, Jiaming Shen, Jiawei Han , International Conference on Information and Knowledge Management, Proceedings , 2018PythonFree
-
Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos
Nicolas Padoy, Jacques Marescaux, Didier Mutter, Armine Vardazaryan , Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis , 2018Jupyter NotebookFree
-
Weakly-Supervised Disentanglement Without Compromises
Ben Poole, Michael Tschannen, Bernhard Schölkopf, Gunnar Rätsch, Olivier Bachem, Francesco Locatello , ICML 2020 1 , 2020MultipleFree
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Weakly-Supervised Cell Tracking via Backward-and-Forward Propagation
Chenyang Wang, Kazuya Nishimura, Dai Fei Elmer Ker, Ryoma Bise, Junya Hayashida , ECCV 2020 8 , 2020PythonFree
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Weakly-supervised Caricature Face Parsing through Domain Adaptation
Wenqing Chu, Ming-Hsuan Yang, Wei-Chih Hung, Yi-Hsuan Tsai, Deng Cai , Proceedings - International Conference on Image Processing, ICIP , 2019PythonFree
-
Weakly-Supervised Action Segmentation with Iterative Soft Boundary Assignment
Li Ding, Chenliang Xu , CVPR 2018 6 , 2018PythonFree
-
Weakly-Supervised Action Localization by Generative Attention Modeling
Baifeng Shi, Qi Dai, Yadong Mu, Jingdong Wang , CVPR 2020 6 , 2020PythonFree
-
Weakly- and Semi-Supervised Panoptic Segmentation
Philip H. S. Torr, Anurag Arnab, Qizhu Li , ECCV 2018 9 , 2018MatlabFree
-
Weakly Supervised Visual Semantic Parsing
Shih-Fu Chang, Alireza Zareian, Svebor Karaman , CVPR 2020 6 , 2020Jupyter NotebookFree
-
Weakly Supervised Temporal Action Localization Using Deep Metric Learning
Richard J. Radke, Ashraful Islam , Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020 , 2020PythonFree
-
Weakly Supervised Silhouette-based Semantic Scene Change Detection
Ken Sakurada, Weimin Wang, Mikiya Shibuya , 2020 IEEE International Conference on Robotics and Automation (ICRA) , 2018PythonFree
-
Weakly Supervised Semantic Point Cloud Segmentation: Towards 10x Fewer Labels
Xun Xu, Gim Hee Lee , CVPR 2020 6 , 2020PythonFree
-
Weakly Supervised PatchNets: Describing and Aggregating Local Patches for Scene Recognition
Limin Wang, Bowen Zhang, Zhe Wang, Yali Wang, Yu Qiao , IEEE Transactions on Image Processing , 2016MatlabFree
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Weakly Supervised Object Detection in Artworks
Said Ladjal, Olivier Bonfait, Nicolas Gonthier, Yann Gousseau , ECCV 2018 Workshop Computer Vision for Art Analysis - VISART 2018 2018 10 , 2018PythonFree
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Weakly supervised multiple instance learning histopathological tumor segmentation
Julien Adam, Théo Estienne, Maria Vakalopoulou, Nikos Paragios, Théophraste Henry, Marion Classe, Eric Deutsch, Enzo Battistella, Marvin Lerousseau, Alexandre Carré , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , 2020PythonFree
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Weakly Supervised Localisation for Fetal Ultrasound Images
Alberto Gomez, Bishesh Khanal, Jacqueline Matthew, Julia A. Schnabel, Nicolas Toussaint, Matthew Sinclair, Emily Skelton , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , 2018MultipleFree
-
Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations
Suha Kwak, Jiwoon Ahn, Sunghyun Cho , CVPR 2019 6 , 2019PythonFree
-
Weakly Supervised Instance Segmentation using the Bounding Box Tightness Prior
Cheng-Chun Hsu, Yen-Yu Lin, Kuang-Jui Hsu, Yung-Yu Chuang, Chung-Chi Tsai , NeurIPS 2019 12 , 2019PythonFree
-
Weakly Supervised Instance Segmentation using Class Peak Response
Jianbin Jiao, Yi Zhu, Qixiang Ye, Yanzhao Zhou, Qiang Qiu , CVPR 2018 6 , 2018MultipleFree
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Weakly Supervised Generative Network for Multiple 3D Human Pose Hypotheses
Chen Li, Gim Hee Lee , arXiv preprint , 2020UnspecifiedFree
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Weakly Supervised Energy-Based Learning for Action Segmentation
Peng Lei, Jun Li, Sinisa Todorovic , ICCV 2019 10 , 2019PythonFree
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