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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 Pruning via Adaptive Sparsity Loss
Georgios Goumas, George Retsinas, Petros Maragos, Athena Elafrou , arXiv preprint , 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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Weighted Cox Regression Using the R Package coxphw
Daniela Dunkler, Meinhard Ploner, Michael Schemper, Georg Heinze , Journal of Statistical Software , 2018RFree
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Weighted Distance-Based Models for Ranking Data Using the R Package rankdist
Zhaozhi Qian, Philip L. H. Yu , Journal of Statistical Software , 2019RFree
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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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Weighted graph coloring based pilot decontamination for multi-cell massive MIMO systems
Xudong Zhu, Linglong Dai, Zhaocheng Wang, Xiaodong Wang , IEEE Transactions on Vehicular Technology , 2017MATLABFree
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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 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 Nuclear Norm Minimization and Its Applications to Low Level Vision
Shuhang Gu, Qi Xie, Deyu Meng, Wangmeng Zuo, Xiangchu Feng, and Lei Zhang , International Journal of Computer Vision , 2017MATLABFree
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Weighted Nuclear Norm Minimization with Application to Image Denoising
Shuhang Gu, Lei Zhang, Wangmeng Zuo, Xiangchu Feng , Conference on Computer Vision and Pattern Recognition 2014 , 2014MATLABFree
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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 Schatten p-Norm Minimization for Image Denoising and Background Subtraction
Yuan Xie, Shuhang Gu, Yan Liu, Wangmeng Zuo, Wensheng Zhang, and Lei Zhang , IEEE Transactions on Image Processing , 2016MATLABFree
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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 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 Sum Rate Maximization for MIMO Broadcast Channels Using Dirty Paper Coding and Zero-forcing Methods
Le-Nam Tran, Markku Juntti, Mats Bengtsson, and Bjorn Ottersten , IEEE Transactions on Communications , 2013MATLABFree
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Weighted Sum Rate Optimization for Multicell MIMO Systems with Hardware-Impaired Transceivers
R. Brandt, E. Björnson, M. Bengtsson , IEEE Int. Conf. Acoustics, Speech, Signal Process. (ICASSP'14) , 2014MATLABFree
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Weighted Sum-Rate Maximization for Reconfigurable Intelligent Surface Aided Wireless Networks
Huayan Guo, Ying-Chang Liang, J. Chen, E. Larsson , IEEE Transactions on Wireless Communications , 2020MATLABFree
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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-Lasso for Structured Network Inference from Time Course Data
Camille Charbonnier, Julien Chiquet, Christophe Ambroise , Statistical applications in genetics and… , 2010RFree
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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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WeightNet: Revisiting the Design Space of Weight Networks
Xiangyu Zhang, Jiawei Huang, Jian Sun, Ningning Ma , ECCV 2020 8 , 2020PythonFree
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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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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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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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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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WGANSing
Merlijn Blaauw, Pritish Chandna , Interspeech 2019 3 , 2019PythonFree
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WGCNA: an R package for weighted correlation network analysis
Peter Langfelder, Steve Horvath , BMC Bioinformatics , 2008RFree
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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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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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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 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 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 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 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 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 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 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 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 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 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 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 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 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 State of Neural Network Pruning?
Jose Javier Gonzalez Ortiz, Davis Blalock, Jonathan Frankle, John Guttag , arXiv preprint , 2020PythonFree
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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 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 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 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 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 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 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 Training Multi-Modal Classification Networks Hard?
Weiyao Wang, Du Tran, Matt Feiszli , CVPR 2020 6 , 2019MultipleFree
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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 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 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 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 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 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 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 Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall, Yarin Gal , NeurIPS 2017 12 , 2017MultipleFree
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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 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 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 Your Username Says About You
Mari Ostendorf, Aaron Jaech , EMNLP 2015 9 , 2015PythonFree
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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 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 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 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 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 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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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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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 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 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 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 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 Does Label Smoothing Help?
Simon Kornblith, Rafael Müller, Geoffrey Hinton , NeurIPS 2019 12 , 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 Self-supervision Improve Few-shot Learning?
Subhransu Maji, Bharath Hariharan, Jong-Chyi Su , ECCV 2020 8 , 2019PythonFree
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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 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 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 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 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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