Do ImageNet Classifiers Generalize to ImageNet?

13 February 2019

Benjamin Recht

Papers citing "Do ImageNet Classifiers Generalize to ImageNet?"

50 / 300 papers shown

Title
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning Haoxiang Wang Yite Wang Ruoyu Sun Bo-wen Li 19 27 0 17 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
Fourier-Based Augmentations for Improved Robustness and Uncertainty Calibration Ryan Soklaski Michael Yee Theodoros Tsiligkaridis AAML 12 14 0 24 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 21 110 0 16 Feb 2022
Deep Ensembles Work, But Are They Necessary? Taiga Abe E. Kelly Buchanan Geoff Pleiss R. Zemel John P. Cunningham OOD UQCV 34 59 0 14 Feb 2022
Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning A. Feder Cooper Emanuel Moss Benjamin Laufer Helen Nissenbaum MLAU 24 85 0 10 Feb 2022
Benchmarking and Analyzing Point Cloud Classification under Corruptions Jiawei Ren Liang Pan Ziwei Liu 3DPC 8 80 0 07 Feb 2022
Source data selection for out-of-domain generalization Xinran Miao Kris Sankaran OODD 4 0 0 04 Feb 2022
A Survey on Visual Transfer Learning using Knowledge Graphs Sebastian Monka Lavdim Halilaj Achim Rettinger 19 23 0 27 Jan 2022
AugLy: Data Augmentations for Robustness Zoe Papakipos Joanna Bitton AAML 29 52 0 17 Jan 2022
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation Alisa Liu Swabha Swayamdipta Noah A. Smith Yejin Choi 30 212 0 16 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
Problem-dependent attention and effort in neural networks with applications to image resolution and model selection Chris Rohlfs 14 4 0 05 Jan 2022
On the Convergence of Shallow Neural Network Training with Randomly Masked Neurons Fangshuo Liao Anastasios Kyrillidis 27 16 0 05 Dec 2021
Editing a classifier by rewriting its prediction rules Shibani Santurkar Dimitris Tsipras Mahalaxmi Elango David Bau Antonio Torralba A. Madry KELM 175 89 0 02 Dec 2021
Vision Pair Learning: An Efficient Training Framework for Image Classification Bei Tong Xiaoyuan Yu ViT 17 0 0 02 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
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
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
SimMIM: A Simple Framework for Masked Image Modeling Zhenda Xie Zheng-Wei Zhang Yue Cao Yutong Lin Jianmin Bao Zhuliang Yao Qi Dai Han Hu 37 1,309 0 18 Nov 2021
Swin Transformer V2: Scaling Up Capacity and Resolution Ze Liu Han Hu Yutong Lin Zhuliang Yao Zhenda Xie ... Yue Cao Zheng-Wei Zhang Li Dong Furu Wei B. Guo ViT 41 1,744 0 18 Nov 2021
Natural Adversarial Objects Felix Lau Nishant Subramani Sasha Harrison Aerin Kim E. Branson Rosanne Liu 14 7 0 07 Nov 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
No One Representation to Rule Them All: Overlapping Features of Training Methods Raphael Gontijo-Lopes Yann N. Dauphin E. D. Cubuk 18 58 0 20 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
Exploring the Limits of Large Scale Pre-training Samira Abnar Mostafa Dehghani Behnam Neyshabur Hanie Sedghi AI4CE 50 114 0 05 Oct 2021
Encoder Adaptation of Dense Passage Retrieval for Open-Domain Question Answering Minghan Li Jimmy J. Lin AI4CE 23 9 0 04 Oct 2021
ResNet strikes back: An improved training procedure in timm Ross Wightman Hugo Touvron Hervé Jégou AI4TS 207 487 0 01 Oct 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
Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition Abbas Ghaddar Philippe Langlais Ahmad Rashid Mehdi Rezagholizadeh 30 42 0 24 Jul 2021
Multi-modal Residual Perceptron Network for Audio-Video Emotion Recognition Xin Chang W. Skarbek 22 19 0 21 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
ResIST: Layer-Wise Decomposition of ResNets for Distributed Training Chen Dun Cameron R. Wolfe C. Jermaine Anastasios Kyrillidis 16 21 0 02 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
The Values Encoded in Machine Learning Research Abeba Birhane Pratyusha Kalluri Dallas Card William Agnew Ravit Dotan Michelle Bao 16 273 0 29 Jun 2021
Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition Qibin Hou Zihang Jiang Li-xin Yuan Mingg-Ming Cheng Shuicheng Yan Jiashi Feng ViT MLLM 24 205 0 23 Jun 2021
Can contrastive learning avoid shortcut solutions? Joshua Robinson Li Sun Ke Yu Kayhan Batmanghelich Stefanie Jegelka S. Sra SSL 16 141 0 21 Jun 2021
How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers Andreas Steiner Alexander Kolesnikov Xiaohua Zhai Ross Wightman Jakob Uszkoreit Lucas Beyer ViT 34 613 0 18 Jun 2021
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data Feng Liu Wenkai Xu Jie Lu Danica J. Sutherland 8 19 0 14 Jun 2021
RobustNav: Towards Benchmarking Robustness in Embodied Navigation Prithvijit Chattopadhyay Judy Hoffman Roozbeh Mottaghi Aniruddha Kembhavi 18 55 0 08 Jun 2021
3DB: A Framework for Debugging Computer Vision Models Guillaume Leclerc Hadi Salman Andrew Ilyas Sai H. Vemprala Logan Engstrom ... Pengchuan Zhang Shibani Santurkar Greg Yang Ashish Kapoor A. Madry 29 40 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
Exposing Previously Undetectable Faults in Deep Neural Networks Isaac Dunn Hadrien Pouget Daniel Kroening T. Melham AAML 18 28 0 01 Jun 2021
ResMLP: Feedforward networks for image classification with data-efficient training Hugo Touvron Piotr Bojanowski Mathilde Caron Matthieu Cord Alaaeldin El-Nouby ... Gautier Izacard Armand Joulin Gabriel Synnaeve Jakob Verbeek Hervé Jégou VLM 16 654 0 07 May 2021
The $s$ -value: evaluating stability with respect to distributional shifts Suyash Gupta Dominik Rothenhausler 26 16 0 07 May 2021
Poisoning the Unlabeled Dataset of Semi-Supervised Learning Nicholas Carlini AAML 144 68 0 04 May 2021
RATT: Leveraging Unlabeled Data to Guarantee Generalization Saurabh Garg Sivaraman Balakrishnan J. Zico Kolter Zachary Chase Lipton 25 29 0 01 May 2021
Going deeper with Image Transformers Hugo Touvron Matthieu Cord Alexandre Sablayrolles Gabriel Synnaeve Hervé Jégou ViT 23 986 0 31 Mar 2021
Automated Cleanup of the ImageNet Dataset by Model Consensus, Explainability and Confident Learning Csaba Kertész VLM SSL 23 45 0 30 Mar 2021