Do ImageNet Classifiers Generalize to ImageNet?

13 February 2019

Benjamin Recht

Papers citing "Do ImageNet Classifiers Generalize to ImageNet?"

50 / 300 papers shown

Title
Local Manifold Augmentation for Multiview Semantic Consistency Yu Yang Wing Yin Cheung Chang-rui Liu Xiang Ji 27 1 0 05 Nov 2022
Signing Outside the Studio: Benchmarking Background Robustness for Continuous Sign Language Recognition Youngjoon Jang Youngtaek Oh Jae-Won Cho Dong-Jin Kim Joon Son Chung In So Kweon SLR 21 12 0 01 Nov 2022
A simple, efficient and scalable contrastive masked autoencoder for learning visual representations Shlok Kumar Mishra Joshua Robinson Huiwen Chang David Jacobs Aaron Sarna Aaron Maschinot Dilip Krishnan DiffM 41 30 0 30 Oct 2022
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation Phillip Howard Gadi Singer Vasudev Lal Yejin Choi Swabha Swayamdipta CML 48 25 0 22 Oct 2022
Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization Daniel LeJeune Jiayu Liu Reinhard Heckel 18 0 0 20 Oct 2022
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts Yoonho Lee Annie S. Chen Fahim Tajwar Ananya Kumar Huaxiu Yao Percy Liang Chelsea Finn OOD 47 197 0 20 Oct 2022
lo-fi: distributed fine-tuning without communication Mitchell Wortsman Suchin Gururangan Shen Li Ali Farhadi Ludwig Schmidt Michael G. Rabbat Ari S. Morcos 19 24 0 19 Oct 2022
Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers Tao Tang Changlin Li Guangrun Wang Kaicheng Yu Xiaojun Chang Xiaodan Liang ViT 18 1 0 16 Oct 2022
Learning to Decompose Visual Features with Latent Textual Prompts Feng Wang Manling Li Xudong Lin Hairong Lv A. Schwing Heng Ji VLM 19 23 0 09 Oct 2022
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints Yinpeng Dong Shouwei Ruan Hang Su Cai Kang Xingxing Wei Junyi Zhu AAML 28 50 0 08 Oct 2022
MaPLe: Multi-modal Prompt Learning Muhammad Uzair Khattak H. Rasheed Muhammad Maaz Salman Khan F. Khan VPVLM VLM 186 530 0 06 Oct 2022
MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models Chenglin Yang Siyuan Qiao Qihang Yu Xiaoding Yuan Yukun Zhu Alan Yuille Hartwig Adam Liang-Chieh Chen ViT MoE 24 58 0 04 Oct 2022
PLOT: Prompt Learning with Optimal Transport for Vision-Language Models Guangyi Chen Weiran Yao Xiangchen Song Xinyue Li Yongming Rao Kun Zhang VPVLM VLM 6 62 0 03 Oct 2022
UniCLIP: Unified Framework for Contrastive Language-Image Pre-training Janghyeon Lee Jongsuk Kim Hyounguk Shon Bumsoo Kim Seung Wook Kim Honglak Lee Junmo Kim CLIP VLM 50 53 0 27 Sep 2022
Measuring Overfitting in Convolutional Neural Networks using Adversarial Perturbations and Label Noise Svetlana Pavlitskaya Joël Oswald J. Marius Zöllner NoLa AAML 14 5 0 27 Sep 2022
Design of the topology for contrastive visual-textual alignment Zhun Sun 25 1 0 05 Sep 2022
Bugs in the Data: How ImageNet Misrepresents Biodiversity A. Luccioni David Rolnick 19 43 0 24 Aug 2022
Discovering Bugs in Vision Models using Off-the-shelf Image Generation and Captioning Olivia Wiles Isabela Albuquerque Sven Gowal VLM 30 46 0 18 Aug 2022
Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP Thao Nguyen Gabriel Ilharco Mitchell Wortsman Sewoong Oh Ludwig Schmidt CLIP VLM 38 97 0 10 Aug 2022
Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Transformer Yingyi Chen Xiaoke Shen Yahui Liu Qinghua Tao Johan A. K. Suykens AAML ViT 21 22 0 25 Jul 2022
An Impartial Take to the CNN vs Transformer Robustness Contest Francesco Pinto Philip H. S. Torr P. Dokania UQCV AAML 22 48 0 22 Jul 2022
Vision Transformers: From Semantic Segmentation to Dense Prediction Li Zhang Jiachen Lu Sixiao Zheng Xinxuan Zhao Xiatian Zhu Yanwei Fu Tao Xiang Jianfeng Feng Philip H. S. Torr ViT 19 7 0 19 Jul 2022
Assaying Out-Of-Distribution Generalization in Transfer Learning F. Wenzel Andrea Dittadi Peter V. Gehler Carl-Johann Simon-Gabriel Max Horn ... Chris Russell Thomas Brox Bernt Schiele Bernhard Schölkopf Francesco Locatello OOD OODD AAML 49 71 0 19 Jul 2022
Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift Ananya Kumar Tengyu Ma Percy Liang Aditi Raghunathan UQCV OODD OOD 37 38 0 18 Jul 2022
FLAIR: Federated Learning Annotated Image Repository Congzheng Song Filip Granqvist Kunal Talwar FedML 16 27 0 18 Jul 2022
On the Strong Correlation Between Model Invariance and Generalization Weijian Deng Stephen Gould Liang Zheng OOD 22 15 0 14 Jul 2022
Leakage and the Reproducibility Crisis in ML-based Science Sayash Kapoor Arvind Narayanan 25 177 0 14 Jul 2022
Convolutional Bypasses Are Better Vision Transformer Adapters Shibo Jie Zhi-Hong Deng VPVLM 10 130 0 14 Jul 2022
Dual Vision Transformer Ting Yao Yehao Li Yingwei Pan Yu Wang Xiaoping Zhang Tao Mei ViT 141 75 0 11 Jul 2022
Robustness Analysis of Video-Language Models Against Visual and Language Perturbations Madeline Chantry Schiappa Shruti Vyas Hamid Palangi Y. S. Rawat Vibhav Vineet VLM 120 17 0 05 Jul 2022
Large-scale Robustness Analysis of Video Action Recognition Models Madeline Chantry Schiappa Naman Biyani Prudvi Kamtam Shruti Vyas Hamid Palangi Vibhav Vineet Y. S. Rawat AAML 24 24 0 04 Jul 2022
Eliciting and Learning with Soft Labels from Every Annotator K. M. Collins Umang Bhatt Adrian Weller 11 44 0 02 Jul 2022
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness Francesco Pinto Harry Yang Ser-Nam Lim Philip H. S. Torr P. Dokania UQCV 25 34 0 29 Jun 2022
Understanding the effect of sparsity on neural networks robustness Lukas Timpl R. Entezari Hanie Sedghi Behnam Neyshabur O. Saukh 23 11 0 22 Jun 2022
Adversarial Scrutiny of Evidentiary Statistical Software Rediet Abebe Moritz Hardt Angela Jin John Miller Ludwig Schmidt Rebecca Wexler 28 5 0 19 Jun 2022
A Meta-Analysis of Distributionally-Robust Models Ben Feuer Ameya Joshi C. Hegde OOD VLM 30 3 0 15 Jun 2022
Neural Prompt Search Yuanhan Zhang Kaiyang Zhou Ziwei Liu VPVLM VLM 34 143 0 09 Jun 2022
Optimizing Relevance Maps of Vision Transformers Improves Robustness Hila Chefer Idan Schwartz Lior Wolf ViT 27 37 0 02 Jun 2022
Prefix Conditioning Unifies Language and Label Supervision Kuniaki Saito Kihyuk Sohn X. Zhang Chun-Liang Li Chen-Yu Lee Kate Saenko Tomas Pfister VLM CLIP 30 16 0 02 Jun 2022
Prompt-aligned Gradient for Prompt Tuning Beier Zhu Yulei Niu Yucheng Han Yuehua Wu Hanwang Zhang VLM 175 271 0 30 May 2022
CyCLIP: Cyclic Contrastive Language-Image Pretraining Shashank Goel Hritik Bansal S. Bhatia Ryan A. Rossi Vishwa Vinay Aditya Grover CLIP VLM 168 132 0 28 May 2022
Grad-CAM++ is Equivalent to Grad-CAM With Positive Gradients Miguel A. Lerma Mirtha Lucas 11 11 0 22 May 2022
When does dough become a bagel? Analyzing the remaining mistakes on ImageNet Vijay Vasudevan Benjamin Caine Raphael Gontijo-Lopes Sara Fridovich-Keil Rebecca Roelofs VLM UQCV 33 57 0 09 May 2022
CoCa: Contrastive Captioners are Image-Text Foundation Models Jiahui Yu Zirui Wang Vijay Vasudevan Legg Yeung Mojtaba Seyedhosseini Yonghui Wu VLM CLIP OffRL 57 1,255 0 04 May 2022
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP) Alex Fang Gabriel Ilharco Mitchell Wortsman Yu Wan Vaishaal Shankar Achal Dave Ludwig Schmidt VLM OOD 20 138 0 03 May 2022
MiniViT: Compressing Vision Transformers with Weight Multiplexing Jinnian Zhang Houwen Peng Kan Wu Mengchen Liu Bin Xiao Jianlong Fu Lu Yuan ViT 21 123 0 14 Apr 2022
No Token Left Behind: Explainability-Aided Image Classification and Generation Roni Paiss Hila Chefer Lior Wolf VLM 26 29 0 11 Apr 2022
Robust Cross-Modal Representation Learning with Progressive Self-Distillation A. Andonian Shixing Chen Raffay Hamid VLM 19 55 0 10 Apr 2022
Does Robustness on ImageNet Transfer to Downstream Tasks? Yutaro Yamada Mayu Otani OOD 18 27 0 08 Apr 2022
Improving Vision Transformers by Revisiting High-frequency Components Jiawang Bai Liuliang Yuan Shutao Xia Shuicheng Yan Zhifeng Li W. Liu ViT 8 90 0 03 Apr 2022