Learning Robust Global Representations by Penalizing Local Predictive
Power

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Learning Robust Global Representations by Penalizing Local Predictive Power

Neural Information Processing Systems (NeurIPS), 2019

29 May 2019

Zachary Chase Lipton

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Papers citing "Learning Robust Global Representations by Penalizing Local Predictive Power"

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Title
Robust and Generalizable Visual Representation Learning via Random ConvolutionsInternational Conference on Learning Representations (ICLR), 2020 Zhenlin Xu Deyi Liu Junlin Yang Colin Raffel Marc Niethammer OOD AAML 363 238 0 25 Jul 2020
Self-Supervised Learning Across DomainsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 S. Bucci A. DÍnnocente Yujun Liao Fabio Maria Carlucci Barbara Caputo Tatiana Tommasi SSL 184 90 0 24 Jul 2020
Transferable Calibration with Lower Bias and Variance in Domain AdaptationNeural Information Processing Systems (NeurIPS), 2020 Ximei Wang Mingsheng Long Jianmin Wang Sai Li 152 61 0 16 Jul 2020
Expert Training: Task Hardness Aware Meta-Learning for Few-Shot Classification Yucan Zhou Yu Wang Jianfei Cai Yu Zhou Q. Hu Weiping Wang VLM 139 12 0 13 Jul 2020
Untapped Potential of Data Augmentation: A Domain Generalization Viewpoint Vihari Piratla Shiv Shankar ViT 134 0 0 09 Jul 2020
Self-Challenging Improves Cross-Domain Generalization Zeyi Huang Haohan Wang Eric Xing Dong Huang OOD 241 726 0 05 Jul 2020
Measuring Robustness to Natural Distribution Shifts in Image Classification Rohan Taori Achal Dave Vaishaal Shankar Nicholas Carlini Benjamin Recht Ludwig Schmidt OOD 466 624 0 01 Jul 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization Dan Hendrycks Steven Basart Norman Mu Saurav Kadavath Frank Wang ... Samyak Parajuli Mike Guo Basel Alomair Jacob Steinhardt Justin Gilmer OOD 985 2,091 0 29 Jun 2020
Large image datasets: A pyrrhic win for computer vision?IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020 Vinay Uday Prabhu Abeba Birhane 300 402 0 24 Jun 2020
Frustratingly Simple Domain Generalization via Image Stylization Nathan Somavarapu Chih-Yao Ma Z. Kira OOD 210 71 0 19 Jun 2020
The Pitfalls of Simplicity Bias in Neural NetworksNeural Information Processing Systems (NeurIPS), 2020 Harshay Shah Kaustav Tamuly Aditi Raghunathan Prateek Jain Praneeth Netrapalli AAML 309 412 0 13 Jun 2020
Unshuffling Data for Improved GeneralizationIEEE International Conference on Computer Vision (ICCV), 2020 Damien Teney Ehsan Abbasnejad Anton Van Den Hengel OOD 209 82 0 27 Feb 2020
An Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object Detection Rujikorn Charakorn Y. Thawornwattana Sirawaj Itthipuripat Nick Pawlowski P. Manoonpong Nat Dilokthanakul DRL OCL 161 13 0 24 Jan 2020
Deep Learning for Free-Hand Sketch: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 Peng Xu Timothy M. Hospedales Qiyue Yin Yi-Zhe Song Tao Xiang Liang Wang 3DV 529 143 0 08 Jan 2020
Natural Adversarial ExamplesComputer Vision and Pattern Recognition (CVPR), 2019 Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt Basel Alomair OODD 898 1,729 0 16 Jul 2019
High Frequency Component Helps Explain the Generalization of Convolutional Neural NetworksComputer Vision and Pattern Recognition (CVPR), 2019 Haohan Wang Xindi Wu Pengcheng Yin Eric Xing 356 614 0 28 May 2019
Adversarial Discriminative Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2017 Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell GAN OOD 732 5,011 0 17 Feb 2017