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The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution
  Generalization

The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization

29 June 2020
Dan Hendrycks
Steven Basart
Norman Mu
Saurav Kadavath
Frank Wang
Evan Dorundo
R. Desai
Tyler Lixuan Zhu
Samyak Parajuli
Mike Guo
D. Song
Jacob Steinhardt
Justin Gilmer
    OOD
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Papers citing "The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization"

50 / 1,260 papers shown
Title
EVA-CLIP: Improved Training Techniques for CLIP at Scale
EVA-CLIP: Improved Training Techniques for CLIP at Scale
Quan-Sen Sun
Yuxin Fang
Ledell Yu Wu
Xinlong Wang
Yue Cao
CLIP
VLM
81
470
0
27 Mar 2023
FastViT: A Fast Hybrid Vision Transformer using Structural
  Reparameterization
FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization
Pavan Kumar Anasosalu Vasu
J. Gabriel
Jeff J. Zhu
Oncel Tuzel
Anurag Ranjan
ViT
37
155
0
24 Mar 2023
Enhancing Multiple Reliability Measures via Nuisance-extended
  Information Bottleneck
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck
Jongheon Jeong
Sihyun Yu
Hankook Lee
Jinwoo Shin
AAML
46
0
0
24 Mar 2023
Remind of the Past: Incremental Learning with Analogical Prompts
Remind of the Past: Incremental Learning with Analogical Prompts
Zhiheng Ma
Xiaopeng Hong
Beinan Liu
Yabin Wang
Pinyue Guo
Huiyun Li
CLL
34
1
0
24 Mar 2023
Visual-Language Prompt Tuning with Knowledge-guided Context Optimization
Visual-Language Prompt Tuning with Knowledge-guided Context Optimization
Hantao Yao
Rui Zhang
Changsheng Xu
VLM
VPVLM
130
204
0
23 Mar 2023
Top-Down Visual Attention from Analysis by Synthesis
Top-Down Visual Attention from Analysis by Synthesis
Baifeng Shi
Trevor Darrell
Xin Eric Wang
32
29
0
23 Mar 2023
Correlational Image Modeling for Self-Supervised Visual Pre-Training
Correlational Image Modeling for Self-Supervised Visual Pre-Training
Wei Li
Jiahao Xie
Chen Change Loy
SSL
40
10
0
22 Mar 2023
CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion
CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion
Geonmo Gu
Sanghyuk Chun
Wonjae Kim
HeeJae Jun
Yoohoon Kang
Sangdoo Yun
DiffM
36
50
0
21 Mar 2023
EVA-02: A Visual Representation for Neon Genesis
EVA-02: A Visual Representation for Neon Genesis
Yuxin Fang
Quan-Sen Sun
Xinggang Wang
Tiejun Huang
Xinlong Wang
Yue Cao
VLM
ViT
CLIP
42
261
0
20 Mar 2023
Robustifying Token Attention for Vision Transformers
Robustifying Token Attention for Vision Transformers
Yong Guo
David Stutz
Bernt Schiele
ViT
23
24
0
20 Mar 2023
SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel
  Storage
SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage
Song Park
Sanghyuk Chun
Byeongho Heo
Wonjae Kim
Sangdoo Yun
VLM
ViT
14
8
0
20 Mar 2023
Benchmarking Robustness of 3D Object Detection to Common Corruptions in
  Autonomous Driving
Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving
Yinpeng Dong
Cai Kang
Jinlai Zhang
Zijian Zhu
Yikai Wang
Xiaohu Yang
Hang Su
Xingxing Wei
Jun Zhu
3DPC
30
89
0
20 Mar 2023
Trainable Projected Gradient Method for Robust Fine-tuning
Trainable Projected Gradient Method for Robust Fine-tuning
Junjiao Tian
Xiaoliang Dai
Chih-Yao Ma
Zecheng He
Yen-Cheng Liu
Z. Kira
70
31
0
19 Mar 2023
A Unified Continual Learning Framework with General Parameter-Efficient
  Tuning
A Unified Continual Learning Framework with General Parameter-Efficient Tuning
Qiankun Gao
Chen Zhao
Yifan Sun
Teng Xi
Gang Zhang
Guohao Li
Jing Zhang
CLL
42
90
0
17 Mar 2023
Instance-Conditioned GAN Data Augmentation for Representation Learning
Instance-Conditioned GAN Data Augmentation for Representation Learning
Pietro Astolfi
Arantxa Casanova
Jakob Verbeek
Pascal Vincent
Adriana Romero Soriano
M. Drozdzal
26
6
0
16 Mar 2023
SemDeDup: Data-efficient learning at web-scale through semantic
  deduplication
SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Amro Abbas
Kushal Tirumala
Daniel Simig
Surya Ganguli
Ari S. Morcos
31
165
0
16 Mar 2023
Steering Prototypes with Prompt-tuning for Rehearsal-free Continual
  Learning
Steering Prototypes with Prompt-tuning for Rehearsal-free Continual Learning
Zhuowei Li
Long Zhao
Zizhao Zhang
Han Zhang
Diya Liu
Ting Liu
Dimitris N. Metaxas
CLL
VLM
34
20
0
16 Mar 2023
Patch-Prompt Aligned Bayesian Prompt Tuning for Vision-Language Models
Patch-Prompt Aligned Bayesian Prompt Tuning for Vision-Language Models
Xinyang Liu
Dongsheng Wang
Bowei Fang
Miaoge Li
Zhibin Duan
Yishi Xu
Bo Chen
Mingyuan Zhou
VLM
VPVLM
29
5
0
16 Mar 2023
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness
  with Dataset Reinforcement
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement
Fartash Faghri
Hadi Pouransari
Sachin Mehta
Mehrdad Farajtabar
Ali Farhadi
Mohammad Rastegari
Oncel Tuzel
43
9
0
15 Mar 2023
Revisit Parameter-Efficient Transfer Learning: A Two-Stage Paradigm
Revisit Parameter-Efficient Transfer Learning: A Two-Stage Paradigm
Hengyuan Zhao
Hao Luo
Yuyang Zhao
Pichao Wang
F. Wang
Mike Zheng Shou
29
5
0
14 Mar 2023
Revisiting Class-Incremental Learning with Pre-Trained Models:
  Generalizability and Adaptivity are All You Need
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
Ziwei Liu
CLL
38
101
0
13 Mar 2023
Schema Inference for Interpretable Image Classification
Schema Inference for Interpretable Image Classification
Haofei Zhang
Mengqi Xue
Xiaokang Liu
Kaixuan Chen
Mingli Song
Mingli Song
OCL
49
3
0
12 Mar 2023
Preventing Zero-Shot Transfer Degradation in Continual Learning of
  Vision-Language Models
Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models
Zangwei Zheng
Mingyu Ma
Kai Wang
Ziheng Qin
Xiangyu Yue
Yang You
CLL
VLM
106
68
0
12 Mar 2023
Gradient-Regulated Meta-Prompt Learning for Generalizable
  Vision-Language Models
Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models
Juncheng Li
Minghe Gao
Longhui Wei
Siliang Tang
Wenqiao Zhang
Meng Li
Wei Ji
Qi Tian
Tat-Seng Chua
Yueting Zhuang
VLM
VPVLM
34
18
0
12 Mar 2023
Understanding and Constructing Latent Modality Structures in Multi-modal
  Representation Learning
Understanding and Constructing Latent Modality Structures in Multi-modal Representation Learning
Qian Jiang
Changyou Chen
Han Zhao
Liqun Chen
Q. Ping
S. D. Tran
Yi Xu
Belinda Zeng
Trishul Chilimbi
51
40
0
10 Mar 2023
Adapting Contrastive Language-Image Pretrained (CLIP) Models for
  Out-of-Distribution Detection
Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution Detection
Nikolas Adaloglou
Félix D. P. Michels
Tim Kaiser
M. Kollmann
VLM
37
0
0
10 Mar 2023
Designing Ocean Vision AI: An Investigation of Community Needs for
  Imaging-based Ocean Conservation
Designing Ocean Vision AI: An Investigation of Community Needs for Imaging-based Ocean Conservation
A. Crosby
E. Orenstein
Susan E. Poulton
K. L. Bell
Benjamin Woodward
H. Ruhl
K. Katija
A. Forbes
11
10
0
09 Mar 2023
Adaptive Calibrator Ensemble for Model Calibration under Distribution
  Shift
Adaptive Calibrator Ensemble for Model Calibration under Distribution Shift
Yu-Hui Zou
Weijian Deng
Liang Zheng
OODD
25
2
0
09 Mar 2023
SLCA: Slow Learner with Classifier Alignment for Continual Learning on a
  Pre-trained Model
SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model
Gengwei Zhang
Liyuan Wang
Guoliang Kang
Ling-Hao Chen
Yunchao Wei
CLL
36
106
0
09 Mar 2023
Identification of Systematic Errors of Image Classifiers on Rare
  Subgroups
Identification of Systematic Errors of Image Classifiers on Rare Subgroups
J. H. Metzen
Robin Hutmacher
N. G. Hua
Valentyn Boreiko
Dan Zhang
AAML
VLM
61
19
0
09 Mar 2023
When is Importance Weighting Correction Needed for Covariate Shift
  Adaptation?
When is Importance Weighting Correction Needed for Covariate Shift Adaptation?
Davit Gogolashvili
Matteo Zecchin
Motonobu Kanagawa
Marios Kountouris
Maurizio Filippone
32
7
0
07 Mar 2023
CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive
  Learning
CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning
Hritik Bansal
Nishad Singhi
Yu Yang
Fan Yin
Aditya Grover
Kai-Wei Chang
AAML
34
42
0
06 Mar 2023
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation
  Approach
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach
Zhimeng Jiang
Xiaotian Han
Hongye Jin
Guanchu Wang
Rui Chen
Na Zou
Xia Hu
12
13
0
06 Mar 2023
Masked Images Are Counterfactual Samples for Robust Fine-tuning
Masked Images Are Counterfactual Samples for Robust Fine-tuning
Yao Xiao
Ziyi Tang
Pengxu Wei
Cong Liu
Liang Lin
52
16
0
06 Mar 2023
PixMIM: Rethinking Pixel Reconstruction in Masked Image Modeling
PixMIM: Rethinking Pixel Reconstruction in Masked Image Modeling
Yuan Liu
Songyang Zhang
Jiacheng Chen
Kai-xiang Chen
Dahua Lin
75
28
0
04 Mar 2023
Fine-Grained ImageNet Classification in the Wild
Fine-Grained ImageNet Classification in the Wild
Maria Lymperaiou
Konstantinos Thomas
Giorgos Stamou
VLM
36
1
0
04 Mar 2023
Certified Robust Neural Networks: Generalization and Corruption
  Resistance
Certified Robust Neural Networks: Generalization and Corruption Resistance
Amine Bennouna
Ryan Lucas
Bart P. G. Van Parys
45
10
0
03 Mar 2023
Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves
  Generalization
Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization
Xingxuan Zhang
Renzhe Xu
Han Yu
Hao Zou
Peng Cui
29
39
0
03 Mar 2023
Diagnosing Model Performance Under Distribution Shift
Diagnosing Model Performance Under Distribution Shift
Tiffany Cai
Hongseok Namkoong
Steve Yadlowsky
37
28
0
03 Mar 2023
Dropout Reduces Underfitting
Dropout Reduces Underfitting
Zhuang Liu
Zhi-Qin John Xu
Joseph Jin
Zhiqiang Shen
Trevor Darrell
50
36
0
02 Mar 2023
Convolutional Visual Prompt for Robust Visual Perception
Convolutional Visual Prompt for Robust Visual Perception
Yun-Yun Tsai
Chengzhi Mao
Junfeng Yang
VLM
VPVLM
36
13
0
01 Mar 2023
Edit at your own risk: evaluating the robustness of edited models to
  distribution shifts
Edit at your own risk: evaluating the robustness of edited models to distribution shifts
Davis Brown
Charles Godfrey
Cody Nizinski
Jonathan Tu
Henry Kvinge
KELM
31
8
0
28 Feb 2023
Generic-to-Specific Distillation of Masked Autoencoders
Generic-to-Specific Distillation of Masked Autoencoders
Wei Huang
Zhiliang Peng
Li Dong
Furu Wei
Jianbin Jiao
QiXiang Ye
32
23
0
28 Feb 2023
Improving Model Generalization by On-manifold Adversarial Augmentation
  in the Frequency Domain
Improving Model Generalization by On-manifold Adversarial Augmentation in the Frequency Domain
Chang-rui Liu
Wenzhao Xiang
Yuan He
H. Xue
Shibao Zheng
Hang Su
42
3
0
28 Feb 2023
A Comprehensive Study on Robustness of Image Classification Models:
  Benchmarking and Rethinking
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking
Chang-Shu Liu
Yinpeng Dong
Wenzhao Xiang
Xiaohu Yang
Hang Su
Junyi Zhu
YueFeng Chen
Yuan He
H. Xue
Shibao Zheng
OOD
VLM
AAML
35
75
0
28 Feb 2023
Robust Weight Signatures: Gaining Robustness as Easy as Patching
  Weights?
Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?
Ruisi Cai
Zhenyu Zhang
Zhangyang Wang
AAML
OOD
46
12
0
24 Feb 2023
Towards Stable Test-Time Adaptation in Dynamic Wild World
Towards Stable Test-Time Adaptation in Dynamic Wild World
Shuaicheng Niu
Jiaxiang Wu
Yifan Zhang
Z. Wen
Yaofo Chen
P. Zhao
Mingkui Tan
TTA
40
251
0
24 Feb 2023
Learning Visual Representations via Language-Guided Sampling
Learning Visual Representations via Language-Guided Sampling
Mohamed El Banani
Karan Desai
Justin Johnson
SSL
VLM
26
28
0
23 Feb 2023
Teaching CLIP to Count to Ten
Teaching CLIP to Count to Ten
Roni Paiss
Ariel Ephrat
Omer Tov
Shiran Zada
Inbar Mosseri
Michal Irani
Tali Dekel
VLM
CLIP
39
93
0
23 Feb 2023
DC4L: Distribution Shift Recovery via Data-Driven Control for Deep
  Learning Models
DC4L: Distribution Shift Recovery via Data-Driven Control for Deep Learning Models
Vivian Lin
Kuk Jin Jang
Souradeep Dutta
Michele Caprio
O. Sokolsky
Insup Lee
OOD
36
6
0
20 Feb 2023
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