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Whole MILC: generalizing learned dynamics across tasks, datasets, and populations
Sergey M. Plis, Zening Fu, Md Mahfuzur Rahman, Usman Mahmood, Alex Fedorov, Noah Lewis, Vince D. Calhoun , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , 2020Jupyter NotebookFree
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Who's Afraid of Adversarial Queries? The Impact of Image Modifications on Content-based Image Retrieval
Zhuoran Liu, Zhengyu Zhao, Martha Larson , ICMR 2019 - Proceedings of the 2019 ACM International Conference on Multimedia Retrieval , 2019PythonFree
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Who Let The Dogs Out? Modeling Dog Behavior From Visual Data
Hessam Bagherinezhad, Joseph Redmon, Kiana Ehsani, Roozbeh Mottaghi, Ali Farhadi , CVPR 2018 6 , 2018PythonFree
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Who is Afraid of Big Bad Minima? Analysis of gradient-flow in spiked matrix-tensor models
Stefano Sarao Mannelli, Giulio Biroli, Florent Krzakala, Lenka Zdeborová, Chiara Cammarota , NeurIPS 2019 12 , 2019C++Free
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Who Blames Whom in a Crisis? Detecting Blame Ties from News Articles Using Neural Networks
Shuailong Liang, Yue Zhang, Olivia Nicol , 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 , 2019PythonFree
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Whitening-Free Least-Squares Non-Gaussian Component Analysis
Hiroaki Shiino, Hiroaki Sasaki, Gang Niu, Masashi Sugiyama , Journal of Machine Learning Research , 2016MatlabFree
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Whitening and Coloring batch transform for GANs
Nicu Sebe, Enver Sangineto, Aliaksandr Siarohin , ICLR 2019 5 , 2018PythonFree
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White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks
Yoav Chai, Yotam Gil, Or Gorodissky, Jonathan Berant , NAACL 2019 6 , 2019PythonFree
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Whispered-to-voiced Alaryngeal Speech Conversion with Generative Adversarial Networks
Jose A. Gonzalez, Santiago Pascual, Antonio Bonafonte, Joan Serrà , IberSPEECH 2018 , 2018MultipleFree
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Which Training Methods for GANs do actually Converge?
Lars Mescheder, Andreas Geiger, Sebastian Nowozin , ICML 2018 7 , 2018MultipleFree
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Which process metrics can significantly improve defect prediction models? An empirical study
Lech Madeyski, Marian Jureczko , Software Quality Journal , 2015RFree
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Which is the Effective Way for Gaokao: Information Retrieval or Neural Networks?
Shizhu He, Jun Zhao, Xiangrong Zeng, Kang Liu, Shangmin Guo , EACL 2017 4 , 2017JavaFree
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Which Has Better Visual Quality: The Clear Blue Sky or a Blurry Animal?
Weisi Lin, Ming Jiang, Tingting Jiang, Dingquan Li , IEEE Transactions on Multimedia 2018 10 , 2018MATLABFree
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Which Algorithmic Choices Matter at Which Batch Sizes? Insights From a Noisy Quadratic Model
Zachary Nado, Guodong Zhang, Lala Li, George E. Dahl, Roger Grosse, Christopher J. Shallue, James Martens, Sushant Sachdeva , NeurIPS 2019 12 , 2019Jupyter NotebookFree
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Where to put the Image in an Image Caption Generator
Albert Gatt, Kenneth P. Camilleri, Marc Tanti , Natural Language Engineering , 2017MultipleFree
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Where to Explore Next? ExHistCNN for History-aware Autonomous 3D Exploration
Alessio Del Bue, Yiming Wang , ECCV 2020 8 , 2020PythonFree
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Where is Your Evidence: Improving Fact-checking by Justification Modeling
Smar Muresan, a, Savvas Petridis, Tariq Alhindi , WS 2018 11 , 2018MultipleFree
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Where is positional uncertainty a problem for species distribution modelling
Babak Naimi, N. A. S. Hamm, Thomas A. Groen, Andrew K. Skidmore, Albertus G. Toxopeus , Ecography , 2014RFree
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Where is my URI?
Andre Valdestilhas, Markus Nentwig, Tommaso Soru, Edgard Marx, Axel-Cyrille Ngonga Ngomo, Muhammad Saleem , European Semantic Web Conference 2018 6 , 2018JavaFree
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Where Is My Mirror?
Ke Xu, Haiyang Mei, Xin Yang, Rynson W. H. Lau, Baocai Yin, Xiaopeng Wei , ICCV 2019 10 , 2019PythonFree
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Where is Misty? Interpreting Spatial Descriptors by Modeling Regions in Space
Dan Klein, Nikita Kitaev , EMNLP 2017 9 , 2017JavaScriptFree
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Where Does the Driver Look? Top-Down Based Saliency Detection in a Traffic Driving Environment
Tao Deng, Kaifu Yang, Yongjie Li, Hongmei Yan , IEEE Transactions on Intelligent Transportation Systems , 2016MatlabFree
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Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences
Lianli Gao, Zhou Zhao, Yang Zhao, Zhu Zhang, Qi Wang, Huasheng Liu , CVPR 2020 6 , 2020UnspecifiedFree
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Where are we now? A large benchmark study of recent symbolic regression methods
Patryk Orzechowski, Jason H. Moore, William La Cava , GECCO 2018 - Proceedings of the 2018 Genetic and Evolutionary Computation Conference , 2018Jupyter NotebookFree
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Where are the Masks: Instance Segmentation with Image-level Supervision
Mark Schmidt, Issam H. Laradji, David Vazquez , 30th British Machine Vision Conference 2019, BMVC 2019 , 2019PythonFree
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Where are the Blobs: Counting by Localization with Point Supervision
Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark W. Schmidt , European Conference on Computer Vision , 2018PyTorchFree
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Where are the Blobs: Counting by Localization with Point Supervision
Pedro O. Pinheiro, David Vazquez, Issam H. Laradji, Mark Schmidt, Negar Rostamzadeh , ECCV 2018 9 , 2018MultipleFree
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When2com: Multi-Agent Perception via Communication Graph Grouping
Junjiao Tian, Nathaniel Glaser, Zsolt Kira, Yen-Cheng Liu , CVPR 2020 6 , 2020PythonFree
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When, Where, and What? A New Dataset for Anomaly Detection in Driving Videos
David Crandall, Yu Yao, Xizi Wang, Zelin Pu, Mingze Xu, Ella Atkins , arXiv preprint , 2020MultipleFree
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When Unsupervised Domain Adaptation Meets Tensor Representations
Zhiguo Cao, Anton van den Hengel, Hao Lu, Wei Wei, Lei Zhang, Ke Xian, Chunhua Shen , ICCV 2017 10 , 2017MatlabFree
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When to Trust Your Model: Model-Based Policy Optimization
Marvin Zhang, Sergey Levine, Justin Fu, Michael Janner , NeurIPS 2019 12 , 2019PythonFree
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When to reply? Context Sensitive Models to Predict Instructor Interventions in MOOC Forums
Min-Yen Kan, Muthu Kumar Chandrasekaran , arXiv preprint , 2019PythonFree
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When size matters: advantages of weighted effect coding in observational studies.
Manfred te Grotenhuis, Ben Pelzer, Rob Eisinga, Rense Nieuwenhuis, Alexander SchmidtCatran, Ruben Konig , INTERNATIONAL JOURNAL OF PUBLIC HEALTH , 2017RFree
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When Relation Networks meet GANs: Relation GANs with Triplet Loss
Yizhou Yu, Yue Wang, Lijun Wang, Runmin Wu, Pingping Zhang, Huchuan Lu, Kunyao Zhang , arXiv preprint , 2020PythonFree
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When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks
Ziwei Liu, Rui Xu, Dahua Lin, Yuzhe Yang, Minghao Guo , CVPR 2020 6 , 2019PythonFree
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When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach
Xianming Liu, Ding Liu, Bihan Wen, Thomas S. Huang, Zhangyang Wang , IJCAI International Joint Conference on Artificial Intelligence , 2017MultipleFree
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When Explanations Lie: Why Many Modified BP Attributions Fail
Tim Landgraf, Maximilian Granz, Leon Sixt , ICML 2020 1 , 2019Jupyter NotebookFree
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When Does Self-supervision Improve Few-shot Learning?
Subhransu Maji, Bharath Hariharan, Jong-Chyi Su , ECCV 2020 8 , 2019PythonFree
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When Does Self-Supervision Help Graph Convolutional Networks?
Tianlong Chen, Yuning You, Yang Shen, Zhangyang Wang , ICML 2020 1 , 2020PythonFree
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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 can we trust population trends? A method for quantifying the effects of sampling interval and duration
Hannah S. Wauchope, Tatsuya Amano, William J. Sutherland, Alison Johnston , Methods in Ecology and Evolution , 2019RFree
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When can we trust population trends? A method for quantifying the effects of sampling interval and duration
Hannah S. Wauchope, Tatsuya Amano, William J. Sutherland, Alison Johnston , Methods in Ecology and Evolution , 2019RFree
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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 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’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 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 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 , 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 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 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 for prize-winning television?
Sara Connolly, Chris Hanretty, Shaun P. Hargreaves Heap, John Street , EUROPEAN JOURNAL OF COMMUNICATION , 2015RFree
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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
-
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
-
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
-
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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