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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 / 1,250 papers shown
Title
Self-Supervised Representation Learning for Adversarial Attack Detection
Self-Supervised Representation Learning for Adversarial Attack Detection
Yi Li
Plamen Angelov
N. Suri
SSL
AAML
31
3
0
05 Jul 2024
Fully Fine-tuned CLIP Models are Efficient Few-Shot Learners
Fully Fine-tuned CLIP Models are Efficient Few-Shot Learners
Mushui Liu
Bozheng Li
Yunlong Yu
VLM
CLIP
21
2
0
04 Jul 2024
PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision
  Transformer
PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision Transformer
Qian Feng
Hanbin Zhao
Chao Zhang
Jiahua Dong
Henghui Ding
Yu-Gang Jiang
Hui Qian
VLM
37
3
0
04 Jul 2024
Improving Zero-shot Generalization of Learned Prompts via Unsupervised
  Knowledge Distillation
Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation
Marco Mistretta
Alberto Baldrati
Marco Bertini
Andrew D. Bagdanov
VPVLM
VLM
35
6
0
03 Jul 2024
SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning
SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning
Bac Nguyen
Stefan Uhlich
Fabien Cardinaux
Lukas Mauch
Marzieh Edraki
Aaron Courville
OODD
CLL
VLM
52
3
0
03 Jul 2024
Knowledge Composition using Task Vectors with Learned Anisotropic
  Scaling
Knowledge Composition using Task Vectors with Learned Anisotropic Scaling
Frederic Z. Zhang
Paul Albert
Cristian Rodriguez-Opazo
Anton van den Hengel
Ehsan Abbasnejad
MoMe
47
7
0
03 Jul 2024
Conceptual Codebook Learning for Vision-Language Models
Conceptual Codebook Learning for Vision-Language Models
Yi Zhang
Ke Yu
Siqi Wu
Zhihai He
VLM
45
2
0
02 Jul 2024
FastCLIP: A Suite of Optimization Techniques to Accelerate CLIP Training
  with Limited Resources
FastCLIP: A Suite of Optimization Techniques to Accelerate CLIP Training with Limited Resources
Xiyuan Wei
Fanjiang Ye
Ori Yonay
Xingyu Chen
Baixi Sun
Dingwen Tao
Tianbao Yang
VLM
CLIP
46
2
0
01 Jul 2024
GalLoP: Learning Global and Local Prompts for Vision-Language Models
GalLoP: Learning Global and Local Prompts for Vision-Language Models
Marc Lafon
Elias Ramzi
Clément Rambour
Nicolas Audebert
Nicolas Thome
VLM
31
8
0
01 Jul 2024
Learning Visual Conditioning Tokens to Correct Domain Shift for Fully
  Test-time Adaptation
Learning Visual Conditioning Tokens to Correct Domain Shift for Fully Test-time Adaptation
Yushun Tang
Shuoshuo Chen
Zhehan Kan
Yi Zhang
Qinghai Guo
Zhihai He
43
2
0
27 Jun 2024
Minimal Interaction Edge Tuning: A New Paradigm for Visual Adaptation
Minimal Interaction Edge Tuning: A New Paradigm for Visual Adaptation
Ningyuan Tang
Minghao Fu
Jianxin Wu
VLM
39
0
0
25 Jun 2024
MM-SpuBench: Towards Better Understanding of Spurious Biases in
  Multimodal LLMs
MM-SpuBench: Towards Better Understanding of Spurious Biases in Multimodal LLMs
Wenqian Ye
Guangtao Zheng
Yunsheng Ma
Xu Cao
Bolin Lai
James M. Rehg
Aidong Zhang
37
10
0
24 Jun 2024
Review of Zero-Shot and Few-Shot AI Algorithms in The Medical Domain
Review of Zero-Shot and Few-Shot AI Algorithms in The Medical Domain
Maged Badawi
Mohammedyahia Abushanab
Sheethal Bhat
Andreas K. Maier
VLM
39
2
0
23 Jun 2024
Combine and Conquer: A Meta-Analysis on Data Shift and
  Out-of-Distribution Detection
Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection
Eduardo Dadalto
F. Alberge
Pierre Duhamel
Pablo Piantanida
OODD
43
0
0
23 Jun 2024
AI-based Anomaly Detection for Clinical-Grade Histopathological
  Diagnostics
AI-based Anomaly Detection for Clinical-Grade Histopathological Diagnostics
Jonas Dippel
Niklas Prenißl
Julius Hense
Philipp Liznerski
Tobias Winterhoff
...
David Horst
Maximilian Alber
Lukas Ruff
Klaus-Robert Müller
Frederick Klauschen
30
4
0
21 Jun 2024
Flat Posterior Does Matter For Bayesian Model Averaging
Flat Posterior Does Matter For Bayesian Model Averaging
Sungjun Lim
Jeyoon Yeom
Sooyon Kim
Hoyoon Byun
Jinho Kang
Yohan Jung
Jiyoung Jung
Kyungwoo Song
AAML
BDL
48
0
0
21 Jun 2024
African or European Swallow? Benchmarking Large Vision-Language Models
  for Fine-Grained Object Classification
African or European Swallow? Benchmarking Large Vision-Language Models for Fine-Grained Object Classification
Gregor Geigle
Radu Timofte
Goran Glavas
29
10
0
20 Jun 2024
Unveiling the Hidden Structure of Self-Attention via Kernel Principal
  Component Analysis
Unveiling the Hidden Structure of Self-Attention via Kernel Principal Component Analysis
R. Teo
Tan M. Nguyen
43
4
0
19 Jun 2024
IntCoOp: Interpretability-Aware Vision-Language Prompt Tuning
IntCoOp: Interpretability-Aware Vision-Language Prompt Tuning
Soumya Suvra Ghosal
Samyadeep Basu
S. Feizi
Dinesh Manocha
VLM
33
2
0
19 Jun 2024
Benchmarking Multi-Image Understanding in Vision and Language Models:
  Perception, Knowledge, Reasoning, and Multi-Hop Reasoning
Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning
Bingchen Zhao
Yongshuo Zong
Letian Zhang
Timothy Hospedales
VLM
28
15
0
18 Jun 2024
Mixing Natural and Synthetic Images for Robust Self-Supervised
  Representations
Mixing Natural and Synthetic Images for Robust Self-Supervised Representations
Reza Akbarian Bafghi
Nidhin Harilal
C. Monteleoni
M. Raissi
DiffM
33
0
0
18 Jun 2024
Is Your HD Map Constructor Reliable under Sensor Corruptions?
Is Your HD Map Constructor Reliable under Sensor Corruptions?
Xiaoshuai Hao
Mengchuan Wei
Yifan Yang
Haimei Zhao
Hui Zhang
Yi Zhou
Qiang Wang
Weiming Li
Lingdong Kong
Jing Zhang
3DV
47
8
0
18 Jun 2024
BaFTA: Backprop-Free Test-Time Adaptation For Zero-Shot Vision-Language
  Models
BaFTA: Backprop-Free Test-Time Adaptation For Zero-Shot Vision-Language Models
Xuefeng Hu
Ke Zhang
Min Sun
Albert Y. C. Chen
Cheng-Hao Kuo
Ram Nevatia
VLM
22
2
0
17 Jun 2024
Uncertainty modeling for fine-tuned implicit functions
Uncertainty modeling for fine-tuned implicit functions
A. Susmelj
Mael Macuglia
Nataša Tagasovska
Reto Sutter
Sebastiano Caprara
Jean-Philippe Thiran
E. Konukoglu
64
1
0
17 Jun 2024
What Does Softmax Probability Tell Us about Classifiers Ranking Across
  Diverse Test Conditions?
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions?
Weijie Tu
Weijian Deng
Liang Zheng
Tom Gedeon
32
0
0
14 Jun 2024
Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites
  Paradox
Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox
Xingming Long
Jie Zhang
Shiguang Shan
Xilin Chen
OODD
37
1
0
14 Jun 2024
How Does Distribution Matching Help Domain Generalization: An
  Information-theoretic Analysis
How Does Distribution Matching Help Domain Generalization: An Information-theoretic Analysis
Yuxin Dong
Tieliang Gong
Hong Chen
Shuangyong Song
Weizhan Zhang
Chen Li
OOD
39
0
0
14 Jun 2024
Reflecting on the State of Rehearsal-free Continual Learning with
  Pretrained Models
Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models
Lukas Thede
Karsten Roth
Olivier J. Hénaff
Matthias Bethge
Zeynep Akata
CLL
36
5
0
13 Jun 2024
Assessing Model Generalization in Vicinity
Assessing Model Generalization in Vicinity
Yuchi Liu
Yifan Sun
Jingdong Wang
Liang Zheng
AAML
28
0
0
13 Jun 2024
AdaNCA: Neural Cellular Automata As Adaptors For More Robust Vision
  Transformer
AdaNCA: Neural Cellular Automata As Adaptors For More Robust Vision Transformer
Yitao Xu
Tong Zhang
Sabine Süsstrunk
ViT
42
0
0
12 Jun 2024
Autoregressive Pretraining with Mamba in Vision
Autoregressive Pretraining with Mamba in Vision
Sucheng Ren
Xianhang Li
Haoqin Tu
Feng Wang
Fangxun Shu
...
L. Yang
Peng Wang
Heng Wang
Alan Yuille
Cihang Xie
Mamba
68
9
0
11 Jun 2024
A Framework for Efficient Model Evaluation through Stratification,
  Sampling, and Estimation
A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation
Riccardo Fogliato
Pratik Patil
Mathew Monfort
Pietro Perona
22
1
0
11 Jun 2024
Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM
  Dynamics
Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics
Ankit Vani
Frederick Tung
Gabriel L. Oliveira
Hossein Sharifi-Noghabi
AAML
31
0
0
10 Jun 2024
Data Measurements for Decentralized Data Markets
Data Measurements for Decentralized Data Markets
Charles Lu
Mohammad Mohammadi Amiri
Ramesh Raskar
FedML
40
5
0
06 Jun 2024
Interpreting the Second-Order Effects of Neurons in CLIP
Interpreting the Second-Order Effects of Neurons in CLIP
Yossi Gandelsman
Alexei A. Efros
Jacob Steinhardt
MILM
54
16
0
06 Jun 2024
Visual-Text Cross Alignment: Refining the Similarity Score in
  Vision-Language Models
Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models
Jinhao Li
Haopeng Li
S. Erfani
Lei Feng
James Bailey
Feng Liu
VLM
29
3
0
05 Jun 2024
Rethinking Guidance Information to Utilize Unlabeled Samples:A Label
  Encoding Perspective
Rethinking Guidance Information to Utilize Unlabeled Samples:A Label Encoding Perspective
Yulong Zhang
Yuan Yao
Shuhao Chen
Pengrong Jin
Yu Zhang
Jian Jin
Jiangang Lu
33
1
0
05 Jun 2024
Feature contamination: Neural networks learn uncorrelated features and fail to generalize
Feature contamination: Neural networks learn uncorrelated features and fail to generalize
Tianren Zhang
Chujie Zhao
Guanyu Chen
Yizhou Jiang
Feng Chen
OOD
MLT
OODD
71
3
0
05 Jun 2024
Enhancing 2D Representation Learning with a 3D Prior
Enhancing 2D Representation Learning with a 3D Prior
Mehmet Aygun
Prithviraj Dhar
Zhicheng Yan
Oisin Mac Aodha
Rakesh Ranjan
SSL
51
1
0
04 Jun 2024
An Empirical Study into Clustering of Unseen Datasets with
  Self-Supervised Encoders
An Empirical Study into Clustering of Unseen Datasets with Self-Supervised Encoders
Scott C. Lowe
Joakim Bruslund Haurum
Sageev Oore
T. Moeslund
Graham W. Taylor
SSL
46
3
0
04 Jun 2024
Harnessing Neural Unit Dynamics for Effective and Scalable
  Class-Incremental Learning
Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning
Depeng Li
Tianqi Wang
Junwei Chen
Wei Dai
Zhigang Zeng
CLL
33
1
0
04 Jun 2024
Boosting Vision-Language Models with Transduction
Boosting Vision-Language Models with Transduction
Maxime Zanella
Benoît Gérin
Ismail Ben Ayed
VLM
42
5
0
03 Jun 2024
Sensitivity-Informed Augmentation for Robust Segmentation
Sensitivity-Informed Augmentation for Robust Segmentation
L. Zheng
Wenjie Wei
Tony Wu
Jacob Clements
Shreelekha Revankar
Andre Harrison
Yu Shen
Ming-Chyuan Lin
AAML
35
0
0
03 Jun 2024
Adapting Conformal Prediction to Distribution Shifts Without Labels
Adapting Conformal Prediction to Distribution Shifts Without Labels
Kevin Kasa
Zhiyu Zhang
Heng Yang
Graham W. Taylor
30
1
0
03 Jun 2024
Robust Classification by Coupling Data Mollification with Label Smoothing
Robust Classification by Coupling Data Mollification with Label Smoothing
Markus Heinonen
Ba-Hien Tran
Michael Kampffmeyer
Maurizio Filippone
65
0
0
03 Jun 2024
On the Use of Anchoring for Training Vision Models
On the Use of Anchoring for Training Vision Models
V. Narayanaswamy
Kowshik Thopalli
Rushil Anirudh
Yamen Mubarka
W. Sakla
Jayaraman J. Thiagarajan
37
0
0
01 Jun 2024
Effectiveness of Vision Language Models for Open-world Single Image Test
  Time Adaptation
Effectiveness of Vision Language Models for Open-world Single Image Test Time Adaptation
Manogna Sreenivas
Soma Biswas
VLM
43
0
0
01 Jun 2024
Is Synthetic Data all We Need? Benchmarking the Robustness of Models
  Trained with Synthetic Images
Is Synthetic Data all We Need? Benchmarking the Robustness of Models Trained with Synthetic Images
Krishnakant Singh
Thanush Navaratnam
Jannik Holmer
Simone Schaub-Meyer
Stefan Roth
DiffM
44
18
0
30 May 2024
CLIPLoss and Norm-Based Data Selection Methods for Multimodal
  Contrastive Learning
CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning
Yiping Wang
Yifang Chen
Wendan Yan
Alex Fang
Wenjing Zhou
Kevin G. Jamieson
S. Du
32
7
0
29 May 2024
AI Risk Management Should Incorporate Both Safety and Security
AI Risk Management Should Incorporate Both Safety and Security
Xiangyu Qi
Yangsibo Huang
Yi Zeng
Edoardo Debenedetti
Jonas Geiping
...
Chaowei Xiao
Bo-wen Li
Dawn Song
Peter Henderson
Prateek Mittal
AAML
43
10
0
29 May 2024
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