Title
Do Deep Networks Transfer Invariances Across Classes? Allan Zhou Fahim Tajwar Alexander Robey Tom Knowles George J. Pappas Hamed Hassani Chelsea Finn OOD 21 18 0 18 Mar 2022
Conditional Prompt Learning for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VLM CLIP VPVLM 25 1,283 0 10 Mar 2022
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time Mitchell Wortsman Gabriel Ilharco S. Gadre Rebecca Roelofs Raphael Gontijo-Lopes ... Hongseok Namkoong Ali Farhadi Y. Carmon Simon Kornblith Ludwig Schmidt MoMe 42 906 1 10 Mar 2022
Joint rotational invariance and adversarial training of a dual-stream Transformer yields state of the art Brain-Score for Area V4 William Berrios Arturo Deza MedIm ViT 12 13 0 08 Mar 2022
Geodesic Multi-Modal Mixup for Robust Fine-Tuning Changdae Oh Junhyuk So Hoyoon Byun Yongtaek Lim Minchul Shin Jong-June Jeon Kyungwoo Song 21 26 0 08 Mar 2022
ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches Maura Pintor Daniele Angioni Angelo Sotgiu Luca Demetrio Ambra Demontis Battista Biggio Fabio Roli AAML 25 49 0 07 Mar 2022
Concept-based Explanations for Out-Of-Distribution Detectors Jihye Choi Jayaram Raghuram Ryan Feng Jiefeng Chen S. Jha Atul Prakash OODD 11 12 0 04 Mar 2022
3D Common Corruptions and Data Augmentation Oğuzhan Fatih Kar Teresa Yeo Andrei Atanov Amir Zamir 3DPC 31 107 0 02 Mar 2022
DeepNet: Scaling Transformers to 1,000 Layers Hongyu Wang Shuming Ma Li Dong Shaohan Huang Dongdong Zhang Furu Wei MoE AI4CE 15 155 0 01 Mar 2022
ARIA: Adversarially Robust Image Attribution for Content Provenance Maksym Andriushchenko X. Li Geoffrey Oxholm Thomas Gittings Tu Bui Nicolas Flammarion John Collomosse AAML 11 0 0 25 Feb 2022
Improving generalization with synthetic training data for deep learning based quality inspection Antoine Cordier Pierre Gutierrez Victoire Plessis 19 2 0 25 Feb 2022
On Modality Bias Recognition and Reduction Yangyang Guo Liqiang Nie Harry Cheng Zhiyong Cheng Mohan S. Kankanhalli A. Bimbo 25 25 0 25 Feb 2022
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution Ananya Kumar Aditi Raghunathan Robbie Jones Tengyu Ma Percy Liang OODD 39 640 0 21 Feb 2022
Deconstructing Distributions: A Pointwise Framework of Learning Gal Kaplun Nikhil Ghosh Saurabh Garg Boaz Barak Preetum Nakkiran OOD 25 21 0 20 Feb 2022
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision Priya Goyal Quentin Duval Isaac Seessel Mathilde Caron Ishan Misra Levent Sagun Armand Joulin Piotr Bojanowski VLM SSL 23 110 0 16 Feb 2022
Predicting Out-of-Distribution Error with the Projection Norm Yaodong Yu Zitong Yang Alexander Wei Yi-An Ma Jacob Steinhardt OODD 7 43 0 11 Feb 2022
Electricity Consumption Forecasting for Out-of-distribution Time-of-Use Tariffs Jyoti Narwariya Chetan Verma Pankaj Malhotra L. Vig E. Subramanian Sanjay Bhat AI4TS 17 2 0 11 Feb 2022
The Lifecycle of a Statistical Model: Model Failure Detection, Identification, and Refitting Alnur Ali Maxime Cauchois John C. Duchi 11 2 0 08 Feb 2022
If a Human Can See It, So Should Your System: Reliability Requirements for Machine Vision Components Boyue Caroline Hu Lina Marsso Krzysztof Czarnecki Rick Salay Huakun Shen Marsha Chechik 11 21 0 08 Feb 2022
Benchmarking and Analyzing Point Cloud Classification under Corruptions Jiawei Ren Liang Pan Ziwei Liu 3DPC 8 80 0 07 Feb 2022
Nonparametric Uncertainty Quantification for Single Deterministic Neural Network Nikita Kotelevskii A. Artemenkov Kirill Fedyanin Fedor Noskov Alexander Fishkov Artem Shelmanov Artem Vazhentsev Aleksandr Petiushko Maxim Panov UQCV BDL 48 25 0 07 Feb 2022
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training Shiwei Liu Tianlong Chen Xiaohan Chen Li Shen D. Mocanu Zhangyang Wang Mykola Pechenizkiy 11 106 0 05 Feb 2022
NoisyMix: Boosting Model Robustness to Common Corruptions N. Benjamin Erichson S. H. Lim Winnie Xu Francisco Utrera Ziang Cao Michael W. Mahoney 19 17 0 02 Feb 2022
Improving Robustness by Enhancing Weak Subnets Yong Guo David Stutz Bernt Schiele AAML 14 15 0 30 Jan 2022
Describing Differences between Text Distributions with Natural Language Ruiqi Zhong Charles Burton Snell Dan Klein Jacob Steinhardt VLM 122 42 0 28 Jan 2022
A Survey on Visual Transfer Learning using Knowledge Graphs Sebastian Monka Lavdim Halilaj Achim Rettinger 19 23 0 27 Jan 2022
How Robust are Discriminatively Trained Zero-Shot Learning Models? M. K. Yucel R. G. Cinbis Pinar Duygulu 18 14 0 26 Jan 2022
AugLy: Data Augmentations for Robustness Zoe Papakipos Joanna Bitton AAML 29 52 0 17 Jan 2022
Adversarial Machine Learning Threat Analysis and Remediation in Open Radio Access Network (O-RAN) Edan Habler Ron Bitton D. Avraham D. Mimran Eitan Klevansky Oleg Brodt Heiko Lehmann Yuval Elovici A. Shabtai AAML 31 12 0 16 Jan 2022
Transferability in Deep Learning: A Survey Junguang Jiang Yang Shu Jianmin Wang Mingsheng Long OOD 17 100 0 15 Jan 2022
Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet? Nenad Tomašev Ioana Bica Brian McWilliams Lars Buesing Razvan Pascanu Charles Blundell Jovana Mitrović SSL 71 80 0 13 Jan 2022
Leveraging Unlabeled Data to Predict Out-of-Distribution Performance Saurabh Garg Sivaraman Balakrishnan Zachary Chase Lipton Behnam Neyshabur Hanie Sedghi OODD OOD 32 124 0 11 Jan 2022
A ConvNet for the 2020s Zhuang Liu Hanzi Mao Chaozheng Wu Christoph Feichtenhofer Trevor Darrell Saining Xie ViT 40 4,945 0 10 Jan 2022
Towards Transferable Unrestricted Adversarial Examples with Minimum Changes Fangcheng Liu Chaoning Zhang Hongyang R. Zhang AAML 21 18 0 04 Jan 2022
Turath-150K: Image Database of Arab Heritage Dani Kiyasseh Rasheed el-Bouri 13 0 0 01 Jan 2022
Optimal Representations for Covariate Shift Yangjun Ruan Yann Dubois Chris J. Maddison OOD 18 68 0 31 Dec 2021
PRIME: A few primitives can boost robustness to common corruptions Apostolos Modas Rahul Rade Guillermo Ortiz-Jiménez Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 16 41 0 27 Dec 2021
Pre-Training Transformers for Domain Adaptation Burhan Ul Tayyab Nicholas Chua ViT 13 2 0 18 Dec 2021
Do You See What I See? Capabilities and Limits of Automated Multimedia Content Analysis Carey Shenkman Dhanaraj Thakur Emma Llansó 14 8 0 15 Dec 2021
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures Dan Hendrycks Andy Zou Mantas Mazeika Leonard Tang Bo-wen Li D. Song Jacob Steinhardt UQCV 21 136 0 09 Dec 2021
3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection Alexander Lehner Stefano Gasperini Alvaro Marcos-Ramiro Michael Schmidt M. N. Mahani Nassir Navab Benjamin Busam F. Tombari 3DPC 21 51 0 09 Dec 2021
Dilated convolution with learnable spacings Ismail Khalfaoui-Hassani Thomas Pellegrini T. Masquelier 8 31 0 07 Dec 2021
Benchmark for Out-of-Distribution Detection in Deep Reinforcement Learning Aaqib Parvez Mohammed Matias Valdenegro-Toro OOD OffRL 16 10 0 05 Dec 2021
Dynamic Token Normalization Improves Vision Transformers Wenqi Shao Yixiao Ge Zhaoyang Zhang Xuyuan Xu Xiaogang Wang Ying Shan Ping Luo ViT 121 11 0 05 Dec 2021
SITA: Single Image Test-time Adaptation Ansh Khurana S. Paul Piyush Rai Soma Biswas Gaurav Aggarwal 69 52 0 04 Dec 2021
Reward-Free Attacks in Multi-Agent Reinforcement Learning Ted Fujimoto T. Doster A. Attarian Jill M. Brandenberger Nathan Oken Hodas AAML 19 4 0 02 Dec 2021
Certified Adversarial Defenses Meet Out-of-Distribution Corruptions: Benchmarking Robustness and Simple Baselines Jiachen Sun Akshay Mehra B. Kailkhura Pin-Yu Chen Dan Hendrycks Jihun Hamm Z. Morley Mao AAML 17 21 0 01 Dec 2021
A Systematic Review of Robustness in Deep Learning for Computer Vision: Mind the gap? Nathan G. Drenkow Numair Sani I. Shpitser Mathias Unberath 16 73 0 01 Dec 2021
Pyramid Adversarial Training Improves ViT Performance Charles Herrmann Kyle Sargent Lu Jiang Ramin Zabih Huiwen Chang Ce Liu Dilip Krishnan Deqing Sun ViT 18 56 0 30 Nov 2021
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation Lukas Hoyer Dengxin Dai Luc Van Gool AI4CE 14 450 0 29 Nov 2021