Title
VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data D. Bashkirova Dan Hendrycks Donghyun Kim Samarth Mishra Kate Saenko Kuniaki Saito Piotr Teterwak Ben Usman OOD 8 19 0 23 Jul 2021
Estimating Predictive Uncertainty Under Program Data Distribution Shift Yufei Li Simin Chen Wei Yang UQCV 8 3 0 23 Jul 2021
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks A. Malinin Neil Band Ganshin Alexander German Chesnokov ... Roginskiy Denis Mariya Shmatova Panos Tigas Boris Yangel UQCV OOD 17 126 0 15 Jul 2021
The Benchmark Lottery Mostafa Dehghani Yi Tay A. Gritsenko Zhe Zhao N. Houlsby Fernando Diaz Donald Metzler Oriol Vinyals 34 89 0 14 Jul 2021
A Topological-Framework to Improve Analysis of Machine Learning Model Performance Henry Kvinge Colby Wight Sarah Akers Scott Howland W. Choi Xiaolong Ma Luke J. Gosink E. Jurrus K. Kappagantula Tegan H. Emerson 34 0 0 09 Jul 2021
Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization John Miller Rohan Taori Aditi Raghunathan Shiori Sagawa Pang Wei Koh Vaishaal Shankar Percy Liang Y. Carmon Ludwig Schmidt OODD OOD 14 266 0 09 Jul 2021
Predicting with Confidence on Unseen Distributions Devin Guillory Vaishaal Shankar Sayna Ebrahimi Trevor Darrell Ludwig Schmidt UQCV OOD 15 115 0 07 Jul 2021
Long-Short Transformer: Efficient Transformers for Language and Vision Chen Zhu Wei Ping Chaowei Xiao M. Shoeybi Tom Goldstein Anima Anandkumar Bryan Catanzaro ViT VLM 21 131 0 05 Jul 2021
Which Invariance Should We Transfer? A Causal Minimax Learning Approach Mingzhou Liu Xiangyu Zheng Xinwei Sun Fang Fang Yizhou Wang OOD 13 2 0 05 Jul 2021
The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning Anders Andreassen Yasaman Bahri Behnam Neyshabur Rebecca Roelofs OOD OODD 22 78 0 30 Jun 2021
Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation Chaithanya Kumar Mummadi Robin Hutmacher K. Rambach Evgeny Levinkov Thomas Brox J. H. Metzen TTA OOD 22 69 0 28 Jun 2021
Scene Uncertainty and the Wellington Posterior of Deterministic Image Classifiers Stephanie Tsuei Aditya Golatkar Stefano Soatto UQCV 13 0 0 25 Jun 2021
Exploring Corruption Robustness: Inductive Biases in Vision Transformers and MLP-Mixers Katelyn Morrison B. Gilby Colton Lipchak Adam Mattioli Adriana Kovashka ViT 12 17 0 24 Jun 2021
Co-advise: Cross Inductive Bias Distillation Sucheng Ren Zhengqi Gao Tianyu Hua Zihui Xue Yonglong Tian Shengfeng He Hang Zhao 42 53 0 23 Jun 2021
Long-term Cross Adversarial Training: A Robust Meta-learning Method for Few-shot Classification Tasks F. Liu Shuyu Zhao Xuelong Dai Bin Xiao VLM 16 7 0 22 Jun 2021
A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness James Diffenderfer Brian Bartoldson Shreya Chaganti Jize Zhang B. Kailkhura OOD 26 69 0 16 Jun 2021
Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training Li-Ming Zhan Haowen Liang Bo Liu Lu Fan Xiao-Ming Wu Albert Y. S. Lam OODD 11 75 0 16 Jun 2021
Revisiting the Calibration of Modern Neural Networks Matthias Minderer Josip Djolonga Rob Romijnders F. Hubis Xiaohua Zhai N. Houlsby Dustin Tran Mario Lucic UQCV 17 356 0 15 Jun 2021
Delving Deep into the Generalization of Vision Transformers under Distribution Shifts Chongzhi Zhang Mingyuan Zhang Shanghang Zhang Daisheng Jin Qiang-feng Zhou Zhongang Cai Haiyu Zhao Xianglong Liu Ziwei Liu 13 102 0 14 Jun 2021
Partial success in closing the gap between human and machine vision Robert Geirhos Kantharaju Narayanappa Benjamin Mitzkus Tizian Thieringer Matthias Bethge Felix Wichmann Wieland Brendel VLM AAML 40 221 0 14 Jun 2021
Gradual Domain Adaptation in the Wild:When Intermediate Distributions are Absent Samira Abnar Rianne van den Berg Golnaz Ghiasi Mostafa Dehghani Nal Kalchbrenner Hanie Sedghi OOD CLL TTA 13 20 0 10 Jun 2021
Transformed CNNs: recasting pre-trained convolutional layers with self-attention Stéphane dÁscoli Levent Sagun Giulio Biroli Ari S. Morcos ViT 8 6 0 10 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer Sina Mohseni Haotao Wang Zhiding Yu Chaowei Xiao Zhangyang Wang J. Yadawa 19 31 0 09 Jun 2021
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation David Berthelot Rebecca Roelofs Kihyuk Sohn Nicholas Carlini Alexey Kurakin 21 136 0 08 Jun 2021
RobustNav: Towards Benchmarking Robustness in Embodied Navigation Prithvijit Chattopadhyay Judy Hoffman Roozbeh Mottaghi Aniruddha Kembhavi 18 55 0 08 Jun 2021
Rotating spiders and reflecting dogs: a class conditional approach to learning data augmentation distributions Scott Mahan Henry Kvinge T. Doster OOD 6 3 0 07 Jun 2021
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization Nanyang Ye Kaican Li Haoyue Bai Runpeng Yu Lanqing Hong Fengwei Zhou Zhenguo Li Jun Zhu CML OOD 32 106 0 07 Jun 2021
When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations Xiangning Chen Cho-Jui Hsieh Boqing Gong ViT 8 320 0 03 Jun 2021
Personalizing Pre-trained Models Mina Khan P. Srivatsa Advait Rane Shriram Chenniappa A. Hazariwala Pattie Maes VLM 37 5 0 02 Jun 2021
One Representation to Rule Them All: Identifying Out-of-Support Examples in Few-shot Learning with Generic Representations Henry Kvinge Scott Howland Nico Courts Lauren A. Phillips John Buckheit ... J. H. Lee Sandeep Tiwari J. Hibler Court D. Corley Nathan Oken Hodas OODD OOD 21 2 0 02 Jun 2021
Adversarially Adaptive Normalization for Single Domain Generalization Xinjie Fan Qifei Wang Junjie Ke Feng Yang Boqing Gong Mingyuan Zhou 14 129 0 01 Jun 2021
Using the Overlapping Score to Improve Corruption Benchmarks Alfred Laugros A. Caplier Matthieu Ospici 20 2 0 26 May 2021
Improved OOD Generalization via Adversarial Training and Pre-training Mingyang Yi Lu Hou Jiacheng Sun Lifeng Shang Xin Jiang Qun Liu Zhi-Ming Ma VLM 15 83 0 24 May 2021
Revisiting Knowledge Distillation for Object Detection Amin Banitalebi-Dehkordi 14 6 0 22 May 2021
Towards Robust Vision Transformer Xiaofeng Mao Gege Qi YueFeng Chen Xiaodan Li Ranjie Duan Shaokai Ye Yuan He Hui Xue ViT 13 186 0 17 May 2021
Vision Transformers are Robust Learners Sayak Paul Pin-Yu Chen ViT 17 305 0 17 May 2021
Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets Max Ryabinin A. Malinin Mark J. F. Gales UQCV 12 18 0 14 May 2021
Causally motivated Shortcut Removal Using Auxiliary Labels Maggie Makar Ben Packer D. Moldovan Davis W. Blalock Yoni Halpern Alexander DÁmour OOD CML 27 71 0 13 May 2021
If your data distribution shifts, use self-learning E. Rusak Steffen Schneider George Pachitariu L. Eck Peter V. Gehler Oliver Bringmann Wieland Brendel Matthias Bethge VLM OOD TTA 77 29 0 27 Apr 2021
Towards Corruption-Agnostic Robust Domain Adaptation Yifan Xu Kekai Sheng Weiming Dong Baoyuan Wu Changsheng Xu Bao-Gang Hu 37 8 0 21 Apr 2021
Does enhanced shape bias improve neural network robustness to common corruptions? Chaithanya Kumar Mummadi Ranjitha Subramaniam Robin Hutmacher Julien Vitay Volker Fischer J. H. Metzen 11 40 0 20 Apr 2021
SI-Score: An image dataset for fine-grained analysis of robustness to object location, rotation and size Jessica Yung Rob Romijnders Alexander Kolesnikov Lucas Beyer Josip Djolonga N. Houlsby Sylvain Gelly Mario Lucic Xiaohua Zhai 19 8 0 09 Apr 2021
Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions Abhijit Guha Roy Jie Jessie Ren Shekoofeh Azizi Aaron Loh Vivek Natarajan ... Yun-hui Liu taylan. cemgil Alan Karthikesalingam Balaji Lakshminarayanan Jim Winkens 18 103 0 08 Apr 2021
Post-Hoc Domain Adaptation via Guided Data Homogenization Kurt Willis Luis Oala 11 4 0 08 Apr 2021
Diverse Gaussian Noise Consistency Regularization for Robustness and Uncertainty Calibration Theodoros Tsiligkaridis Athanasios Tsiligkaridis 17 3 0 02 Apr 2021
Defending Against Image Corruptions Through Adversarial Augmentations D. A. Calian Florian Stimberg Olivia Wiles Sylvestre-Alvise Rebuffi András Gyorgy Timothy A. Mann Sven Gowal AAML 9 41 0 02 Apr 2021
Automated Cleanup of the ImageNet Dataset by Model Consensus, Explainability and Confident Learning Csaba Kertész VLM SSL 23 45 0 30 Mar 2021
Improving robustness against common corruptions with frequency biased models Tonmoy Saikia Cordelia Schmid Thomas Brox OOD 13 40 0 30 Mar 2021
MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption Alexander Bartler Andreas Bühler Felix Wiewel Mario Döbler Binh Yang TTA OOD 14 77 0 30 Mar 2021
Learning Domain Invariant Representations for Generalizable Person Re-Identification Yi-Fan Zhang Zhang Zhang Da Li Zhen Jia Liang Wang T. Tan OOD 24 40 0 29 Mar 2021