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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 / 1,262 papers shown
Title
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models
  across Computer Vision Tasks
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks
Micah Goldblum
Hossein Souri
Renkun Ni
Manli Shu
Viraj Prabhu
...
Adrien Bardes
Judy Hoffman
Ramalingam Chellappa
Andrew Gordon Wilson
Tom Goldstein
VLM
83
62
0
30 Oct 2023
Res-Tuning: A Flexible and Efficient Tuning Paradigm via Unbinding Tuner
  from Backbone
Res-Tuning: A Flexible and Efficient Tuning Paradigm via Unbinding Tuner from Backbone
Zeyinzi Jiang
Chaojie Mao
Ziyuan Huang
Ao Ma
Yiliang Lv
Yujun Shen
Deli Zhao
Jingren Zhou
43
15
0
30 Oct 2023
Fast Trainable Projection for Robust Fine-Tuning
Fast Trainable Projection for Robust Fine-Tuning
Junjiao Tian
Yen-Cheng Liu
James Seale Smith
Z. Kira
OOD
46
11
0
29 Oct 2023
Benchmark Generation Framework with Customizable Distortions for Image
  Classifier Robustness
Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness
Soumyendu Sarkar
Ashwin Ramesh Babu
Sajad Mousavi
Zachariah Carmichael
Vineet Gundecha
Sahand Ghorbanpour
Ricardo Luna
Antonio Guillen-Perez
Avisek Naug
AAML
DiffM
61
3
0
28 Oct 2023
A Review of the Evidence for Existential Risk from AI via Misaligned
  Power-Seeking
A Review of the Evidence for Existential Risk from AI via Misaligned Power-Seeking
Rose Hadshar
26
6
0
27 Oct 2023
Managing extreme AI risks amid rapid progress
Managing extreme AI risks amid rapid progress
Yoshua Bengio
Geoffrey Hinton
Andrew Yao
Dawn Song
Pieter Abbeel
...
Philip Torr
Stuart J. Russell
Daniel Kahneman
J. Brauner
Sören Mindermann
37
63
0
26 Oct 2023
Multi-scale Diffusion Denoised Smoothing
Multi-scale Diffusion Denoised Smoothing
Jongheon Jeong
Jinwoo Shin
DiffM
31
7
0
25 Oct 2023
Winning Prize Comes from Losing Tickets: Improve Invariant Learning by
  Exploring Variant Parameters for Out-of-Distribution Generalization
Winning Prize Comes from Losing Tickets: Improve Invariant Learning by Exploring Variant Parameters for Out-of-Distribution Generalization
Zhuo Huang
Muyang Li
Li Shen
Jun-chen Yu
Chen Gong
Bo Han
Tongliang Liu
OOD
56
8
0
25 Oct 2023
TiC-CLIP: Continual Training of CLIP Models
TiC-CLIP: Continual Training of CLIP Models
Saurabh Garg
Mehrdad Farajtabar
Hadi Pouransari
Raviteja Vemulapalli
Sachin Mehta
Oncel Tuzel
Vaishaal Shankar
Fartash Faghri
VLM
CLIP
44
27
0
24 Oct 2023
Learning with Unmasked Tokens Drives Stronger Vision Learners
Learning with Unmasked Tokens Drives Stronger Vision Learners
Taekyung Kim
Sanghyuk Chun
Byeongho Heo
Dongyoon Han
SSL
47
1
0
20 Oct 2023
On the Language Encoder of Contrastive Cross-modal Models
On the Language Encoder of Contrastive Cross-modal Models
Mengjie Zhao
Junya Ono
Zhi-Wei Zhong
Chieh-Hsin Lai
Yuhta Takida
Naoki Murata
Wei-Hsiang Liao
Takashi Shibuya
Hiromi Wakaki
Yuki Mitsufuji
VLM
28
0
0
20 Oct 2023
Frozen Transformers in Language Models Are Effective Visual Encoder
  Layers
Frozen Transformers in Language Models Are Effective Visual Encoder Layers
Ziqi Pang
Ziyang Xie
Yunze Man
Yu-xiong Wang
58
25
0
19 Oct 2023
OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial
  Robustness under Distribution Shift
OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift
Lin Li
Yifei Wang
Chawin Sitawarin
Michael W. Spratling
39
0
0
19 Oct 2023
Rethinking Class-incremental Learning in the Era of Large Pre-trained
  Models via Test-Time Adaptation
Rethinking Class-incremental Learning in the Era of Large Pre-trained Models via Test-Time Adaptation
Imad Eddine Marouf
Subhankar Roy
Enzo Tartaglione
Stéphane Lathuilière
CLL
34
3
0
17 Oct 2023
SODA: Robust Training of Test-Time Data Adaptors
SODA: Robust Training of Test-Time Data Adaptors
Zige Wang
Yonggang Zhang
Zhen Fang
Long Lan
Wenjing Yang
Bo Han
40
2
0
17 Oct 2023
Real-Fake: Effective Training Data Synthesis Through Distribution
  Matching
Real-Fake: Effective Training Data Synthesis Through Distribution Matching
Jianhao Yuan
Jie Zhang
Shuyang Sun
Philip Torr
Bo Zhao
38
23
0
16 Oct 2023
Does CLIP's Generalization Performance Mainly Stem from High Train-Test
  Similarity?
Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?
Prasanna Mayilvahanan
Thaddäus Wiedemer
E. Rusak
Matthias Bethge
Wieland Brendel
OODD
47
22
0
14 Oct 2023
Vision-by-Language for Training-Free Compositional Image Retrieval
Vision-by-Language for Training-Free Compositional Image Retrieval
Shyamgopal Karthik
Karsten Roth
Massimiliano Mancini
Zeynep Akata
CoGe
33
53
0
13 Oct 2023
PerturbScore: Connecting Discrete and Continuous Perturbations in NLP
PerturbScore: Connecting Discrete and Continuous Perturbations in NLP
Linyang Li
Ke Ren
Yunfan Shao
Pengyu Wang
Xipeng Qiu
31
4
0
13 Oct 2023
Visual Data-Type Understanding does not emerge from Scaling
  Vision-Language Models
Visual Data-Type Understanding does not emerge from Scaling Vision-Language Models
Vishaal Udandarao
Max F. Burg
Samuel Albanie
Matthias Bethge
VLM
39
9
0
12 Oct 2023
Towards a Unified Analysis of Kernel-based Methods Under Covariate Shift
Towards a Unified Analysis of Kernel-based Methods Under Covariate Shift
Xingdong Feng
Xin He
Caixing Wang
Chao Wang
Jingnan Zhang
43
7
0
12 Oct 2023
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing
  Label Bias in Foundation Models
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models
Beier Zhu
Kaihua Tang
Qianru Sun
Hanwang Zhang
30
21
0
12 Oct 2023
NECO: NEural Collapse Based Out-of-distribution detection
NECO: NEural Collapse Based Out-of-distribution detection
Mouin Ben Ammar
Nacim Belkhir
Sebastian Popescu
Antoine Manzanera
Gianni Franchi
OODD
37
18
0
10 Oct 2023
Robustness May be More Brittle than We Think under Different Degrees of
  Distribution Shifts
Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts
Kaican Li
Yifan Zhang
Lanqing Hong
Zhenguo Li
Nevin L. Zhang
OOD
46
0
0
10 Oct 2023
Text-driven Prompt Generation for Vision-Language Models in Federated
  Learning
Text-driven Prompt Generation for Vision-Language Models in Federated Learning
Chen Qiu
Xingyu Li
Chaithanya Kumar Mummadi
Madan Ravi Ganesh
Zhenzhen Li
Lu Peng
Wan-Yi Lin
VLM
FedML
47
11
0
09 Oct 2023
Understanding the Robustness of Multi-modal Contrastive Learning to
  Distribution Shift
Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift
Yihao Xue
Siddharth Joshi
Dang Nguyen
Baharan Mirzasoleiman
VLM
39
4
0
08 Oct 2023
IPMix: Label-Preserving Data Augmentation Method for Training Robust
  Classifiers
IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers
Zhenglin Huang
Xianan Bao
Na Zhang
Qingqi Zhang
Xiaomei Tu
Biao Wu
Xi Yang
37
7
0
07 Oct 2023
Continual Test-time Domain Adaptation via Dynamic Sample Selection
Continual Test-time Domain Adaptation via Dynamic Sample Selection
Yanshuo Wang
Jie Hong
A. Cheraghian
Shafin Rahman
David Ahmedt-Aristizabal
Lars Petersson
Mehrtash Harandi
TTA
28
16
0
05 Oct 2023
A Formalism and Approach for Improving Robustness of Large Language
  Models Using Risk-Adjusted Confidence Scores
A Formalism and Approach for Improving Robustness of Large Language Models Using Risk-Adjusted Confidence Scores
Ke Shen
Mayank Kejriwal
19
2
0
05 Oct 2023
Bag of Tricks for Fully Test-Time Adaptation
Bag of Tricks for Fully Test-Time Adaptation
Saypraseuth Mounsaveng
Florent Chiaroni
Malik Boudiaf
M. Pedersoli
Ismail Ben Ayed
TTA
31
7
0
03 Oct 2023
ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection
  Algorithms
ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms
William Yang
Byron Zhang
Olga Russakovsky
OODD
48
13
0
03 Oct 2023
Unified Uncertainty Calibration
Unified Uncertainty Calibration
Kamalika Chaudhuri
David Lopez-Paz
29
0
0
02 Oct 2023
Deep Neural Networks Tend To Extrapolate Predictably
Deep Neural Networks Tend To Extrapolate Predictably
Katie Kang
Amrith Rajagopal Setlur
Claire Tomlin
Sergey Levine
31
0
0
02 Oct 2023
Spurious Feature Diversification Improves Out-of-distribution
  Generalization
Spurious Feature Diversification Improves Out-of-distribution Generalization
Yong Lin
Lu Tan
Yifan Hao
Honam Wong
Hanze Dong
Weizhong Zhang
Yujiu Yang
Tong Zhang
OODD
35
25
0
29 Sep 2023
Understanding and Mitigating the Label Noise in Pre-training on
  Downstream Tasks
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks
Hao Chen
Jindong Wang
Ankit Shah
Ran Tao
Hongxin Wei
Berfin cSimcsek
Masashi Sugiyama
Bhiksha Raj
49
27
0
29 Sep 2023
AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models
AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models
Sanghwan Kim
Hao Tang
Fisher Yu
VLM
CLIP
21
5
0
28 Sep 2023
Context-I2W: Mapping Images to Context-dependent Words for Accurate
  Zero-Shot Composed Image Retrieval
Context-I2W: Mapping Images to Context-dependent Words for Accurate Zero-Shot Composed Image Retrieval
Yuanmin Tang
Jiahao Yu
Keke Gai
Jiamin Zhuang
Gang Xiong
Yue Hu
Qi Wu
41
34
0
28 Sep 2023
Rapid Network Adaptation: Learning to Adapt Neural Networks Using
  Test-Time Feedback
Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback
Teresa Yeo
Oğuzhan Fatih Kar
Zahra Sodagar
Amir Zamir
TTA
OOD
33
3
0
27 Sep 2023
VPA: Fully Test-Time Visual Prompt Adaptation
VPA: Fully Test-Time Visual Prompt Adaptation
Jiachen Sun
Mark Ibrahim
Melissa Hall
Ivan Evtimov
Z. Morley Mao
Cristian Canton Ferrer
C. Hazirbas
VLM
43
6
0
26 Sep 2023
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss
R. S. Srinivasa
Jaejin Cho
Chouchang Yang
Yashas Malur Saidutta
Ching Hua Lee
Yilin Shen
Hongxia Jin
VLM
41
8
0
26 Sep 2023
FeCAM: Exploiting the Heterogeneity of Class Distributions in
  Exemplar-Free Continual Learning
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning
Dipam Goswami
Yuyang Liu
Bartlomiej Twardowski
Joost van de Weijer
CLL
40
55
0
25 Sep 2023
Tuning Multi-mode Token-level Prompt Alignment across Modalities
Tuning Multi-mode Token-level Prompt Alignment across Modalities
Dongsheng Wang
Miaoge Li
Xinyang Liu
Mingsheng Xu
Bo Chen
Hanwang Zhang
VLM
44
16
0
25 Sep 2023
GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph
GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph
Xin Li
Dongze Lian
Zhihe Lu
Jiawang Bai
Zhibo Chen
Xinchao Wang
VLM
48
61
0
24 Sep 2023
Dream the Impossible: Outlier Imagination with Diffusion Models
Dream the Impossible: Outlier Imagination with Diffusion Models
Xuefeng Du
Yiyou Sun
Xiaojin Zhu
Yixuan Li
35
55
0
23 Sep 2023
Online Supervised Training of Spaceborne Vision during Proximity
  Operations using Adaptive Kalman Filtering
Online Supervised Training of Spaceborne Vision during Proximity Operations using Adaptive Kalman Filtering
T. Park
Simone DÁmico
37
8
0
20 Sep 2023
Multi-dimensional domain generalization with low-rank structures
Multi-dimensional domain generalization with low-rank structures
Sai Li
Linjun Zhang
36
2
0
18 Sep 2023
SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient
  Channels
SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient Channels
Henry Hengyuan Zhao
Pichao Wang
Yuyang Zhao
Hao Luo
F. Wang
Mike Zheng Shou
ViT
42
14
0
15 Sep 2023
Data Distribution Bottlenecks in Grounding Language Models to Knowledge
  Bases
Data Distribution Bottlenecks in Grounding Language Models to Knowledge Bases
Yiheng Shu
Zhiwei Yu
32
3
0
15 Sep 2023
Gradient constrained sharpness-aware prompt learning for vision-language
  models
Gradient constrained sharpness-aware prompt learning for vision-language models
Liangchen Liu
Nannan Wang
Dawei Zhou
Xinbo Gao
Decheng Liu
Xi Yang
Tongliang Liu
VLM
38
2
0
14 Sep 2023
Efficiently Robustify Pre-trained Models
Efficiently Robustify Pre-trained Models
Nishant Jain
Iit Roorkee
Harkirat Singh Behl
Vibhav Vineet
OOD
VLM
31
3
0
14 Sep 2023
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