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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
DePT: Decoupled Prompt Tuning
DePT: Decoupled Prompt Tuning
Ji Zhang
Shihan Wu
Lianli Gao
Hengtao Shen
Jingkuan Song
VLM
37
27
0
14 Sep 2023
Sight Beyond Text: Multi-Modal Training Enhances LLMs in Truthfulness
  and Ethics
Sight Beyond Text: Multi-Modal Training Enhances LLMs in Truthfulness and Ethics
Haoqin Tu
Bingchen Zhao
Chen Wei
Cihang Xie
MLLM
43
14
0
13 Sep 2023
TAP: Targeted Prompting for Task Adaptive Generation of Textual Training
  Instances for Visual Classification
TAP: Targeted Prompting for Task Adaptive Generation of Textual Training Instances for Visual Classification
M. Jehanzeb Mirza
Leonid Karlinsky
Wei Lin
Horst Possegger
Rogerio Feris
Horst Bischof
VLM
40
6
0
13 Sep 2023
Assessing the Generalization Gap of Learning-Based Speech Enhancement
  Systems in Noisy and Reverberant Environments
Assessing the Generalization Gap of Learning-Based Speech Enhancement Systems in Noisy and Reverberant Environments
Philippe Gonzalez
T. S. Alstrøm
Tobias May
30
13
0
12 Sep 2023
Hazards in Deep Learning Testing: Prevalence, Impact and Recommendations
Hazards in Deep Learning Testing: Prevalence, Impact and Recommendations
Salah Ghamizi
Maxime Cordy
Yuejun Guo
Mike Papadakis
And Yves Le Traon
31
1
0
11 Sep 2023
Outlier Robust Adversarial Training
Outlier Robust Adversarial Training
Shu Hu
Zhenhuan Yang
X. Wang
Yiming Ying
Siwei Lyu
AAML
37
9
0
10 Sep 2023
On the Efficacy of Multi-scale Data Samplers for Vision Applications
On the Efficacy of Multi-scale Data Samplers for Vision Applications
Elvis Nunez
Thomas Merth
Anish K. Prabhu
Mehrdad Farajtabar
Mohammad Rastegari
Sachin Mehta
Maxwell Horton
28
1
0
08 Sep 2023
REALM: Robust Entropy Adaptive Loss Minimization for Improved
  Single-Sample Test-Time Adaptation
REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation
Skyler Seto
B. Theobald
Federico Danieli
Navdeep Jaitly
Dan Busbridge
TTA
OOD
50
6
0
07 Sep 2023
Understanding Data Augmentation from a Robustness Perspective
Understanding Data Augmentation from a Robustness Perspective
Zhendong Liu
Jie Zhang
Qiangqiang He
Chongjun Wang
AAML
34
1
0
07 Sep 2023
Distribution-Aware Prompt Tuning for Vision-Language Models
Distribution-Aware Prompt Tuning for Vision-Language Models
Eulrang Cho
Jooyeon Kim
Hyunwoo J. Kim
VPVLM
VLM
41
21
0
06 Sep 2023
Large Separable Kernel Attention: Rethinking the Large Kernel Attention
  Design in CNN
Large Separable Kernel Attention: Rethinking the Large Kernel Attention Design in CNN
Kin Wai Lau
L. Po
Yasar Abbas Ur Rehman
VLM
32
204
0
04 Sep 2023
BDC-Adapter: Brownian Distance Covariance for Better Vision-Language
  Reasoning
BDC-Adapter: Brownian Distance Covariance for Better Vision-Language Reasoning
Yi Zhang
Ce Zhang
Zihan Liao
Yushun Tang
Zhihai He
BDL
VLM
33
10
0
03 Sep 2023
LoGoPrompt: Synthetic Text Images Can Be Good Visual Prompts for
  Vision-Language Models
LoGoPrompt: Synthetic Text Images Can Be Good Visual Prompts for Vision-Language Models
Cheng Shi
Sibei Yang
VLM
27
21
0
03 Sep 2023
Exploring the Robustness of Human Parsers Towards Common Corruptions
Exploring the Robustness of Human Parsers Towards Common Corruptions
Sanyi Zhang
Xiaochun Cao
Rui Wang
Guohong Qi
Jie Zhou
27
1
0
02 Sep 2023
Introducing Language Guidance in Prompt-based Continual Learning
Introducing Language Guidance in Prompt-based Continual Learning
Muhammad Gul Zain Ali Khan
Muhammad Ferjad Naeem
Luc Van Gool
D. Stricker
F. Tombari
Muhammad Zeshan Afzal
VLM
CLL
22
48
0
30 Aug 2023
3D Adversarial Augmentations for Robust Out-of-Domain Predictions
3D Adversarial Augmentations for Robust Out-of-Domain Predictions
Alexander Lehner
Stefano Gasperini
Alvaro Marcos-Ramiro
Michael Schmidt
Nassir Navab
Benjamin Busam
F. Tombari
3DPC
36
7
0
29 Aug 2023
Cross-Modal Retrieval Meets Inference:Improving Zero-Shot Classification
  with Cross-Modal Retrieval
Cross-Modal Retrieval Meets Inference:Improving Zero-Shot Classification with Cross-Modal Retrieval
Seong-Hoon Eom
Namgyu Ho
Jaehoon Oh
Se-Young Yun
CLIP
VLM
38
0
0
29 Aug 2023
Classification robustness to common optical aberrations
Classification robustness to common optical aberrations
Patrick Müller
Alexander Braun
Margret Keuper
33
10
0
29 Aug 2023
Read-only Prompt Optimization for Vision-Language Few-shot Learning
Read-only Prompt Optimization for Vision-Language Few-shot Learning
Dongjun Lee
Seokwon Song
Jihee G. Suh
Joonmyeong Choi
S. Lee
Hyunwoo J.Kim
VLM
52
42
0
29 Aug 2023
Do the Frankenstein, or how to achieve better out-of-distribution
  performance with manifold mixing model soup
Do the Frankenstein, or how to achieve better out-of-distribution performance with manifold mixing model soup
Hannes Fassold
MoMe
UQCV
34
2
0
28 Aug 2023
GOPro: Generate and Optimize Prompts in CLIP using Self-Supervised
  Learning
GOPro: Generate and Optimize Prompts in CLIP using Self-Supervised Learning
Mainak Singha
Ankit Jha
Biplab Banerjee
VLM
39
4
0
22 Aug 2023
Unsupervised Prototype Adapter for Vision-Language Models
Unsupervised Prototype Adapter for Vision-Language Models
Yi Zhang
Ce Zhang
Xue-mei Hu
Z. He
VLM
34
4
0
22 Aug 2023
Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection
Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection
Charles Guille-Escuret
Pierre-Andre Noel
Ioannis Mitliagkas
David Vazquez
João Monteiro
OOD
OODD
37
0
0
22 Aug 2023
Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models
Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models
Baoshuo Kan
Teng Wang
Wenpeng Lu
Xiantong Zhen
Weili Guan
Feng Zheng
VPVLM
VLM
36
25
0
22 Aug 2023
Foundation Model-oriented Robustness: Robust Image Model Evaluation with
  Pretrained Models
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models
Peiyan Zhang
Hao Liu
Chaozhuo Li
Xing Xie
Sunghun Kim
Haohan Wang
VLM
OOD
42
8
0
21 Aug 2023
When Prompt-based Incremental Learning Does Not Meet Strong Pretraining
When Prompt-based Incremental Learning Does Not Meet Strong Pretraining
Yuyao Tang
Yifan Peng
Weiwen Zheng
CLL
VLM
33
32
0
21 Aug 2023
DPL: Decoupled Prompt Learning for Vision-Language Models
DPL: Decoupled Prompt Learning for Vision-Language Models
C. Xu
Yuhan Zhu
Guozhen Zhang
Haocheng Shen
Yixuan Liao
Xiaoxin Chen
Gangshan Wu
Limin Wang
VLM
29
5
0
19 Aug 2023
On the Robustness of Open-World Test-Time Training: Self-Training with
  Dynamic Prototype Expansion
On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion
Yu-Sheng Li
Xun Xu
Yongyi Su
Kui Jia
OOD
VLM
TTA
32
19
0
19 Aug 2023
On the Effectiveness of LayerNorm Tuning for Continual Learning in
  Vision Transformers
On the Effectiveness of LayerNorm Tuning for Continual Learning in Vision Transformers
Thomas De Min
Massimiliano Mancini
Alahari Karteek
Xavier Alameda-Pineda
Elisa Ricci
CLL
34
9
0
18 Aug 2023
Online Class Incremental Learning on Stochastic Blurry Task Boundary via
  Mask and Visual Prompt Tuning
Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt Tuning
Jun-Yeong Moon
Keondo Park
Jung Uk Kim
Gyeong-Moon Park
CLL
34
23
0
18 Aug 2023
Distance Matters For Improving Performance Estimation Under Covariate
  Shift
Distance Matters For Improving Performance Estimation Under Covariate Shift
Mélanie Roschewitz
Ben Glocker
30
1
0
14 Aug 2023
The Sound Demixing Challenge 2023 $\unicode{x2013}$ Music Demixing Track
The Sound Demixing Challenge 2023 \unicodex2013\unicode{x2013}\unicodex2013 Music Demixing Track
Giorgio Fabbro
Stefan Uhlich
Chieh-Hsin Lai
Woosung Choi
Marco A. Martínez-Ramírez
...
Jun Hyung Lee
Yuanliang Dong
Xinran Zhang
Jiafeng Liu
Yuki Mitsufuji
55
20
0
14 Aug 2023
Diverse Data Augmentation with Diffusions for Effective Test-time Prompt
  Tuning
Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning
Chun-Mei Feng
Kai Yu
Yong Liu
Salman Khan
W. Zuo
VLM
27
79
0
11 Aug 2023
Distributionally Robust Classification on a Data Budget
Distributionally Robust Classification on a Data Budget
Ben Feuer
Ameya Joshi
Minh Pham
Chinmay Hegde
OOD
42
2
0
07 Aug 2023
Auditing and Robustifying COVID-19 Misinformation Datasets via
  Anticontent Sampling
Auditing and Robustifying COVID-19 Misinformation Datasets via Anticontent Sampling
Clay H. Yoo
Ashiqur R. KhudaBukhsh
33
5
0
05 Aug 2023
VisAlign: Dataset for Measuring the Degree of Alignment between AI and
  Humans in Visual Perception
VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual Perception
Jiyoung Lee
Seung Wook Kim
Seunghyun Won
Joonseok Lee
Marzyeh Ghassemi
James Thorne
Jaeseok Choi
O.-Kil Kwon
Edward Choi
44
1
0
03 Aug 2023
PerceptionCLIP: Visual Classification by Inferring and Conditioning on
  Contexts
PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts
Bang An
Sicheng Zhu
Michael-Andrei Panaitescu-Liess
Chaithanya Kumar Mummadi
Furong Huang
VLM
38
7
0
02 Aug 2023
Improving Pixel-based MIM by Reducing Wasted Modeling Capability
Improving Pixel-based MIM by Reducing Wasted Modeling Capability
Yuan Liu
Songyang Zhang
Jiacheng Chen
Zhaohui Yu
Kai-xiang Chen
Dahua Lin
40
29
0
01 Aug 2023
Cross-Modal Concept Learning and Inference for Vision-Language Models
Cross-Modal Concept Learning and Inference for Vision-Language Models
Yi Zhang
Ce Zhang
Yushun Tang
Z. He
VLM
MLLM
CLIP
39
15
0
28 Jul 2023
NSA: Naturalistic Support Artifact to Boost Network Confidence
NSA: Naturalistic Support Artifact to Boost Network Confidence
Abhijith Sharma
Phil Munz
Apurva Narayan
AAML
32
1
0
27 Jul 2023
Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level
  Stability and High-Level Behavior
Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level Stability and High-Level Behavior
Adam Block
Ali Jadbabaie
Daniel Pfrommer
Max Simchowitz
Russ Tedrake
DiffM
52
22
0
27 Jul 2023
Foundational Models Defining a New Era in Vision: A Survey and Outlook
Foundational Models Defining a New Era in Vision: A Survey and Outlook
Muhammad Awais
Muzammal Naseer
Salman Khan
Rao Muhammad Anwer
Hisham Cholakkal
M. Shah
Ming-Hsuan Yang
Fahad Shahbaz Khan
VLM
43
119
0
25 Jul 2023
Does Progress On Object Recognition Benchmarks Improve Real-World
  Generalization?
Does Progress On Object Recognition Benchmarks Improve Real-World Generalization?
Megan Richards
Polina Kirichenko
Diane Bouchacourt
Mark Ibrahim
VLM
68
13
0
24 Jul 2023
CLIP-KD: An Empirical Study of CLIP Model Distillation
CLIP-KD: An Empirical Study of CLIP Model Distillation
Chuanguang Yang
Zhulin An
Libo Huang
Junyu Bi
Xinqiang Yu
Hansheng Yang
Boyu Diao
Yongjun Xu
VLM
37
27
0
24 Jul 2023
COCO-O: A Benchmark for Object Detectors under Natural Distribution
  Shifts
COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts
Xiaofeng Mao
YueFeng Chen
Yao Zhu
Da Chen
Hang Su
Rong Zhang
H. Xue
ObjD
OOD
46
18
0
24 Jul 2023
Challenges for Monocular 6D Object Pose Estimation in Robotics
Challenges for Monocular 6D Object Pose Estimation in Robotics
S. Thalhammer
Dominik Bauer
Peter Honig
Jean-Baptiste Weibel
José García-Rodríguez
Markus Vincze
53
24
0
22 Jul 2023
HybridAugment++: Unified Frequency Spectra Perturbations for Model
  Robustness
HybridAugment++: Unified Frequency Spectra Perturbations for Model Robustness
M. K. Yucel
R. G. Cinbis
Pinar Duygulu
AAML
46
10
0
21 Jul 2023
Improving Viewpoint Robustness for Visual Recognition via Adversarial
  Training
Improving Viewpoint Robustness for Visual Recognition via Adversarial Training
Shouwei Ruan
Yinpeng Dong
Han Su
Jianteng Peng
Ning Chen
Xingxing Wei
22
5
0
21 Jul 2023
Tuning Pre-trained Model via Moment Probing
Tuning Pre-trained Model via Moment Probing
Mingze Gao
Qilong Wang
Zhenyi Lin
Pengfei Zhu
Qinghua Hu
Jingbo Zhou
27
7
0
21 Jul 2023
A Holistic Assessment of the Reliability of Machine Learning Systems
A Holistic Assessment of the Reliability of Machine Learning Systems
Anthony Corso
David Karamadian
Romeo Valentin
Mary Cooper
Mykel J. Kochenderfer
35
6
0
20 Jul 2023
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