Title
Adversarial Attacks in Cooperative AI Ted Fujimoto Arthur Paul Pedersen AAML 19 2 0 29 Nov 2021
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images Bingchen Zhao Shaozuo Yu Wufei Ma M. Yu Shenxiao Mei Angtian Wang Ju He Alan Yuille Adam Kortylewski 16 53 0 29 Nov 2021
Failure Modes of Domain Generalization Algorithms T. Galstyan Hrayr Harutyunyan Hrant Khachatrian Greg Ver Steeg Aram Galstyan OOD 28 10 0 26 Nov 2021
Discrete Representations Strengthen Vision Transformer Robustness Chengzhi Mao Lu Jiang Mostafa Dehghani Carl Vondrick Rahul Sukthankar Irfan Essa ViT 25 43 0 20 Nov 2021
Combined Scaling for Zero-shot Transfer Learning Hieu H. Pham Zihang Dai Golnaz Ghiasi Kenji Kawaguchi Hanxiao Liu ... Yi-Ting Chen Minh-Thang Luong Yonghui Wu Mingxing Tan Quoc V. Le VLM 4 191 0 19 Nov 2021
Merging Models with Fisher-Weighted Averaging Michael Matena Colin Raffel FedML MoMe 27 347 0 18 Nov 2021
Wiggling Weights to Improve the Robustness of Classifiers Sadaf Gulshad Ivan Sosnovik A. Smeulders OOD 18 0 0 18 Nov 2021
Understanding and Testing Generalization of Deep Networks on Out-of-Distribution Data Rui Hu Jitao Sang Jinqiang Wang Rui Hu Chaoquan Jiang CML OOD 19 7 0 17 Nov 2021
LiT: Zero-Shot Transfer with Locked-image text Tuning Xiaohua Zhai Xiao Wang Basil Mustafa Andreas Steiner Daniel Keysers Alexander Kolesnikov Lucas Beyer VLM 28 539 0 15 Nov 2021
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 281 7,434 0 11 Nov 2021
Evaluating Predictive Uncertainty and Robustness to Distributional Shift Using Real World Data Kumud Lakara Akshat Bhandari Pratinav Seth Ujjwal Verma OOD 14 3 0 08 Nov 2021
Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention S. Tan Runpei Dong Kaisheng Ma 22 2 0 03 Nov 2021
Pareto Adversarial Robustness: Balancing Spatial Robustness and Sensitivity-based Robustness Ke Sun Mingjie Li Zhouchen Lin AAML 16 2 0 03 Nov 2021
Benchmarks for Corruption Invariant Person Re-identification Minghui Chen Zhiqiang Wang Feng Zheng 20 25 0 01 Nov 2021
Three approaches to facilitate DNN generalization to objects in out-of-distribution orientations and illuminations Akira Sakai Taro Sunagawa Spandan Madan Kanata Suzuki Takashi Katoh Hiromichi Kobashi Hanspeter Pfister Pawan Sinha Xavier Boix Tomotake Sasaki 13 2 0 30 Oct 2021
Adversarial Robustness with Semi-Infinite Constrained Learning Alexander Robey Luiz F. O. Chamon George J. Pappas Hamed Hassani Alejandro Ribeiro AAML OOD 113 42 0 29 Oct 2021
Robust Contrastive Learning Using Negative Samples with Diminished Semantics Songwei Ge Shlok Kumar Mishra Haohan Wang Chun-Liang Li David Jacobs SSL 11 71 0 27 Oct 2021
AugMax: Adversarial Composition of Random Augmentations for Robust Training Haotao Wang Chaowei Xiao Jean Kossaifi Zhiding Yu Anima Anandkumar Zhangyang Wang 16 106 0 26 Oct 2021
DEX: Domain Embedding Expansion for Generalized Person Re-identification Eugene P. W. Ang Lin Shan Alex C. Kot 19 12 0 21 Oct 2021
A Fine-Grained Analysis on Distribution Shift Olivia Wiles Sven Gowal Florian Stimberg Sylvestre-Alvise Rebuffi Ira Ktena Krishnamurthy Dvijotham A. Cemgil OOD 215 201 0 21 Oct 2021
Robustness through Data Augmentation Loss Consistency Tianjian Huang Shaunak Halbe Chinnadhurai Sankar P. Amini Satwik Kottur A. Geramifard Meisam Razaviyayn Ahmad Beirami OOD 37 8 0 21 Oct 2021
Combining Different V1 Brain Model Variants to Improve Robustness to Image Corruptions in CNNs A. Baidya Joel Dapello J. DiCarlo Tiago Marques AAML 19 6 0 20 Oct 2021
Improving Model Generalization by Agreement of Learned Representations from Data Augmentation Rowel Atienza ViT 17 9 0 20 Oct 2021
MEMO: Test Time Robustness via Adaptation and Augmentation Marvin Zhang Sergey Levine Chelsea Finn OOD TTA 9 299 0 18 Oct 2021
Improving Robustness using Generated Data Sven Gowal Sylvestre-Alvise Rebuffi Olivia Wiles Florian Stimberg D. A. Calian Timothy A. Mann 20 292 0 18 Oct 2021
Unrestricted Adversarial Attacks on ImageNet Competition YueFeng Chen Xiaofeng Mao Yuan He Hui Xue Chao Li ... Bingyang Fu Yunfei Zheng Yekui Wang Haorong Luo Zhen Yang AAML 13 9 0 17 Oct 2021
Sharpness-Aware Minimization Improves Language Model Generalization Dara Bahri H. Mobahi Yi Tay 119 98 0 16 Oct 2021
Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation Yao Qin Chiyuan Zhang Ting Chen Balaji Lakshminarayanan Alex Beutel Xuezhi Wang ViT 42 42 0 15 Oct 2021
SGD-X: A Benchmark for Robust Generalization in Schema-Guided Dialogue Systems Harrison Lee Raghav Gupta Abhinav Rastogi Yuan Cao Bin Zhang Yonghui Wu 64 33 0 13 Oct 2021
Benchmarking the Robustness of Spatial-Temporal Models Against Corruptions Chenyu Yi Siyuan Yang Haoliang Li Yap-Peng Tan Alex C. Kot 18 31 0 13 Oct 2021
CLIP-Adapter: Better Vision-Language Models with Feature Adapters Peng Gao Shijie Geng Renrui Zhang Teli Ma Rongyao Fang Yongfeng Zhang Hongsheng Li Yu Qiao VLM CLIP 60 982 0 09 Oct 2021
FOCUS: Familiar Objects in Common and Uncommon Settings Priyatham Kattakinda S. Feizi 11 10 0 07 Oct 2021
The Connection between Out-of-Distribution Generalization and Privacy of ML Models Divyat Mahajan Shruti Tople Amit Sharma OOD 8 7 0 07 Oct 2021
Pretraining & Reinforcement Learning: Sharpening the Axe Before Cutting the Tree Saurav Kadavath Samuel Paradis Brian Yao VLM CLIP OffRL OnRL 12 1 0 06 Oct 2021
Unsolved Problems in ML Safety Dan Hendrycks Nicholas Carlini John Schulman Jacob Steinhardt 173 273 0 28 Sep 2021
Compressive Visual Representations Kuang-Huei Lee Anurag Arnab S. Guadarrama John F. Canny Ian S. Fischer SSL 57 48 0 27 Sep 2021
Training on Test Data with Bayesian Adaptation for Covariate Shift Aurick Zhou Sergey Levine OOD TTA 35 13 0 27 Sep 2021
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques Shiyu Tang Ruihao Gong Yan Wang Aishan Liu Jiakai Wang ... Xianglong Liu D. Song Alan Yuille Philip H. S. Torr Dacheng Tao VLM AAML 21 106 0 11 Sep 2021
Robust fine-tuning of zero-shot models Mitchell Wortsman Gabriel Ilharco Jong Wook Kim Mike Li Simon Kornblith ... Raphael Gontijo-Lopes Hannaneh Hajishirzi Ali Farhadi Hongseok Namkoong Ludwig Schmidt VLM 23 688 0 04 Sep 2021
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 325 2,261 0 02 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 29 513 0 31 Aug 2021
SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts Masanari Kimura Takuma Nakamura Yuki Saito OOD 31 3 0 30 Aug 2021
Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text Summarization Chujie Zheng Kunpeng Zhang Harry J. Wang Ling Fan Zhe Wang 14 6 0 26 Aug 2021
Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain Guangyao Chen Peixi Peng Li Ma Jia Li Lin Du Yonghong Tian AAML OOD 19 89 0 19 Aug 2021
Challenges for cognitive decoding using deep learning methods A. Thomas Christopher Ré R. Poldrack AI4CE 6 6 0 16 Aug 2021
Data Efficient Human Intention Prediction: Leveraging Neural Network Verification and Expert Guidance Ruixuan Liu Changliu Liu AAML 11 1 0 16 Aug 2021
Impact of Aliasing on Generalization in Deep Convolutional Networks C. N. Vasconcelos Hugo Larochelle Vincent Dumoulin Rob Romijnders Nicolas Le Roux Ross Goroshin OOD 66 33 0 07 Aug 2021
Object-aware Contrastive Learning for Debiased Scene Representation Sangwoo Mo H. Kang Kihyuk Sohn Chun-Liang Li Jinwoo Shin SSL OCL 16 48 0 30 Jul 2021
SimROD: A Simple Adaptation Method for Robust Object Detection Rindranirina Ramamonjison Amin Banitalebi-Dehkordi Xinyu Kang Xiaolong Bai Yong Zhang ObjD TTA 24 53 0 28 Jul 2021
Using Synthetic Corruptions to Measure Robustness to Natural Distribution Shifts Alfred Laugros A. Caplier Matthieu Ospici 9 5 0 26 Jul 2021