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Measuring Robustness to Natural Distribution Shifts in Image
  Classification

Measuring Robustness to Natural Distribution Shifts in Image Classification

1 July 2020
Rohan Taori
Achal Dave
Vaishaal Shankar
Nicholas Carlini
Benjamin Recht
Ludwig Schmidt
    OOD
ArXivPDFHTML

Papers citing "Measuring Robustness to Natural Distribution Shifts in Image Classification"

50 / 351 papers shown
Title
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
Jongheon Jeong
Yang Zou
Taewan Kim
Dongqing Zhang
Avinash Ravichandran
Onkar Dabeer
VLM
75
187
0
26 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
44
0
0
24 Mar 2023
The effectiveness of MAE pre-pretraining for billion-scale pretraining
The effectiveness of MAE pre-pretraining for billion-scale pretraining
Mannat Singh
Quentin Duval
Kalyan Vasudev Alwala
Haoqi Fan
Vaibhav Aggarwal
...
Piotr Dollár
Christoph Feichtenhofer
Ross B. Girshick
Rohit Girdhar
Ishan Misra
LRM
126
63
0
23 Mar 2023
Improving Generalization with Domain Convex Game
Improving Generalization with Domain Convex Game
Fangrui Lv
Jian Liang
Shuang Li
Jinming Zhang
Di Liu
21
6
0
23 Mar 2023
Reliability in Semantic Segmentation: Are We on the Right Track?
Reliability in Semantic Segmentation: Are We on the Right Track?
Pau de Jorge
Riccardo Volpi
Philip Torr
Grégory Rogez
UQCV
26
19
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
Model-tuning Via Prompts Makes NLP Models Adversarially Robust
Model-tuning Via Prompts Makes NLP Models Adversarially Robust
Mrigank Raman
Pratyush Maini
J. Zico Kolter
Zachary Chase Lipton
Danish Pruthi
AAML
38
17
0
13 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
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
49
16
0
06 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
Diagnosing Model Performance Under Distribution Shift
Diagnosing Model Performance Under Distribution Shift
Tiffany Cai
Hongseok Namkoong
Steve Yadlowsky
37
27
0
03 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
29
8
0
28 Feb 2023
The Role of Pre-training Data in Transfer Learning
The Role of Pre-training Data in Transfer Learning
R. Entezari
Mitchell Wortsman
O. Saukh
M. Shariatnia
Hanie Sedghi
Ludwig Schmidt
46
21
0
27 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
Dataset Interfaces: Diagnosing Model Failures Using Controllable
  Counterfactual Generation
Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation
Joshua Vendrow
Saachi Jain
Logan Engstrom
A. Madry
OOD
32
34
0
15 Feb 2023
Scaling Vision Transformers to 22 Billion Parameters
Scaling Vision Transformers to 22 Billion Parameters
Mostafa Dehghani
Josip Djolonga
Basil Mustafa
Piotr Padlewski
Jonathan Heek
...
Mario Luvcić
Xiaohua Zhai
Daniel Keysers
Jeremiah Harmsen
N. Houlsby
MLLM
90
572
0
10 Feb 2023
Linear-scaling kernels for protein sequences and small molecules
  outperform deep learning while providing uncertainty quantitation and
  improved interpretability
Linear-scaling kernels for protein sequences and small molecules outperform deep learning while providing uncertainty quantitation and improved interpretability
J. Parkinson
Wen Wang
BDL
24
8
0
07 Feb 2023
RLSbench: Domain Adaptation Under Relaxed Label Shift
RLSbench: Domain Adaptation Under Relaxed Label Shift
Saurabh Garg
Nick Erickson
James Sharpnack
Alexander J. Smola
Sivaraman Balakrishnan
Zachary Chase Lipton
VLM
33
31
0
06 Feb 2023
Leaving Reality to Imagination: Robust Classification via Generated
  Datasets
Leaving Reality to Imagination: Robust Classification via Generated Datasets
Hritik Bansal
Aditya Grover
OOD
44
87
0
05 Feb 2023
Effective Robustness against Natural Distribution Shifts for Models with
  Different Training Data
Effective Robustness against Natural Distribution Shifts for Models with Different Training Data
Zhouxing Shi
Nicholas Carlini
Ananth Balashankar
Ludwig Schmidt
Cho-Jui Hsieh
Alex Beutel
Yao Qin
OOD
26
9
0
02 Feb 2023
Confidence and Dispersity Speak: Characterising Prediction Matrix for
  Unsupervised Accuracy Estimation
Confidence and Dispersity Speak: Characterising Prediction Matrix for Unsupervised Accuracy Estimation
Weijian Deng
Yumin Suh
Stephen Gould
Liang Zheng
UQCV
29
12
0
02 Feb 2023
CLIPood: Generalizing CLIP to Out-of-Distributions
CLIPood: Generalizing CLIP to Out-of-Distributions
Yang Shu
Xingzhuo Guo
Jialong Wu
Ximei Wang
Jianmin Wang
Mingsheng Long
OODD
VLM
52
73
0
02 Feb 2023
Model Monitoring and Robustness of In-Use Machine Learning Models:
  Quantifying Data Distribution Shifts Using Population Stability Index
Model Monitoring and Robustness of In-Use Machine Learning Models: Quantifying Data Distribution Shifts Using Population Stability Index
A. Khademi
M. Hopka
Devesh Upadhyay
OOD
33
3
0
01 Feb 2023
Pathologies of Predictive Diversity in Deep Ensembles
Pathologies of Predictive Diversity in Deep Ensembles
Taiga Abe
E. Kelly Buchanan
Geoff Pleiss
John P. Cunningham
UQCV
43
13
0
01 Feb 2023
Demystifying Disagreement-on-the-Line in High Dimensions
Demystifying Disagreement-on-the-Line in High Dimensions
Dong-Hwan Lee
Behrad Moniri
Xinmeng Huang
Yan Sun
Hamed Hassani
23
8
0
31 Jan 2023
Diverse, Difficult, and Odd Instances (D2O): A New Test Set for Object
  Classification
Diverse, Difficult, and Odd Instances (D2O): A New Test Set for Object Classification
Ali Borji
VLM
37
0
0
29 Jan 2023
A Closer Look at Few-shot Classification Again
A Closer Look at Few-shot Classification Again
Xu Luo
Hao Wu
Ji Zhang
Lianli Gao
Jing Xu
Jingkuan Song
24
48
0
28 Jan 2023
BinaryVQA: A Versatile Test Set to Evaluate the Out-of-Distribution
  Generalization of VQA Models
BinaryVQA: A Versatile Test Set to Evaluate the Out-of-Distribution Generalization of VQA Models
Ali Borji
CoGe
15
1
0
28 Jan 2023
ClimaX: A foundation model for weather and climate
ClimaX: A foundation model for weather and climate
Tung Nguyen
Johannes Brandstetter
Ashish Kapoor
Jayesh K. Gupta
Aditya Grover
AI4Cl
AI4CE
11
246
0
24 Jan 2023
Does progress on ImageNet transfer to real-world datasets?
Does progress on ImageNet transfer to real-world datasets?
Alex Fang
Simon Kornblith
Ludwig Schmidt
VLM
34
34
0
11 Jan 2023
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution
  Generalization
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization
Alexandre Ramé
Kartik Ahuja
Jianyu Zhang
Matthieu Cord
Léon Bottou
David Lopez-Paz
MoMe
OODD
42
81
0
20 Dec 2022
A Probabilistic Framework for Lifelong Test-Time Adaptation
A Probabilistic Framework for Lifelong Test-Time Adaptation
Dhanajit Brahma
Piyush Rai
TTA
24
35
0
19 Dec 2022
Reproducible scaling laws for contrastive language-image learning
Reproducible scaling laws for contrastive language-image learning
Mehdi Cherti
Romain Beaumont
Ross Wightman
Mitchell Wortsman
Gabriel Ilharco
Cade Gordon
Christoph Schuhmann
Ludwig Schmidt
J. Jitsev
VLM
CLIP
59
747
0
14 Dec 2022
Robust Speech Recognition via Large-Scale Weak Supervision
Robust Speech Recognition via Large-Scale Weak Supervision
Alec Radford
Jong Wook Kim
Tao Xu
Greg Brockman
C. McLeavey
Ilya Sutskever
OffRL
79
3,315
0
06 Dec 2022
Context-Aware Robust Fine-Tuning
Context-Aware Robust Fine-Tuning
Xiaofeng Mao
YueFeng Chen
Xiaojun Jia
Rong Zhang
Hui Xue
Zhao Li
VLM
CLIP
35
25
0
29 Nov 2022
Context-Adaptive Deep Neural Networks via Bridge-Mode Connectivity
Context-Adaptive Deep Neural Networks via Bridge-Mode Connectivity
Nathan G. Drenkow
Alvin Tan
C. Ashcraft
Kiran Karra
18
0
0
28 Nov 2022
Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation
Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation
Josh Gardner
Zoran Popovic
Ludwig Schmidt
OOD
34
22
0
23 Nov 2022
Mechanistic Mode Connectivity
Mechanistic Mode Connectivity
Ekdeep Singh Lubana
Eric J. Bigelow
Robert P. Dick
David M. Krueger
Hidenori Tanaka
34
45
0
15 Nov 2022
Okapi: Generalising Better by Making Statistical Matches Match
Okapi: Generalising Better by Making Statistical Matches Match
Myles Bartlett
Sara Romiti
V. Sharmanska
Novi Quadrianto
45
3
0
07 Nov 2022
Local Manifold Augmentation for Multiview Semantic Consistency
Local Manifold Augmentation for Multiview Semantic Consistency
Yu Yang
Wing Yin Cheung
Chang-rui Liu
Xiang Ji
39
1
0
05 Nov 2022
Data Models for Dataset Drift Controls in Machine Learning With Optical
  Images
Data Models for Dataset Drift Controls in Machine Learning With Optical Images
Luis Oala
Marco Aversa
Gabriel Nobis
Kurt Willis
Yoan Neuenschwander
...
E. Pomarico
Wojciech Samek
Roderick Murray-Smith
Christoph Clausen
B. Sanguinetti
31
5
0
04 Nov 2022
ImageNet-X: Understanding Model Mistakes with Factor of Variation
  Annotations
ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations
Badr Youbi Idrissi
Diane Bouchacourt
Randall Balestriero
Ivan Evtimov
C. Hazirbas
Nicolas Ballas
Pascal Vincent
M. Drozdzal
David Lopez-Paz
Mark Ibrahim
VLM
ViT
56
45
0
03 Nov 2022
Private and Reliable Neural Network Inference
Private and Reliable Neural Network Inference
Nikola Jovanović
Marc Fischer
Samuel Steffen
Martin Vechev
22
14
0
27 Oct 2022
Learning to Augment via Implicit Differentiation for Domain
  Generalization
Learning to Augment via Implicit Differentiation for Domain Generalization
Ting-Hsiang Wang
Da Li
Kaiyang Zhou
Tao Xiang
Yi-Zhe Song
19
0
0
25 Oct 2022
Exploring The Landscape of Distributional Robustness for Question
  Answering Models
Exploring The Landscape of Distributional Robustness for Question Answering Models
Anas Awadalla
Mitchell Wortsman
Gabriel Ilharco
Sewon Min
Ian H. Magnusson
Hannaneh Hajishirzi
Ludwig Schmidt
ELM
OOD
KELM
72
19
0
22 Oct 2022
Intra-Source Style Augmentation for Improved Domain Generalization
Intra-Source Style Augmentation for Improved Domain Generalization
Yumeng Li
Dan Zhang
M. Keuper
Anna Khoreva
29
32
0
18 Oct 2022
A.I. Robustness: a Human-Centered Perspective on Technological
  Challenges and Opportunities
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities
Andrea Tocchetti
Lorenzo Corti
Agathe Balayn
Mireia Yurrita
Philip Lippmann
Marco Brambilla
Jie-jin Yang
32
10
0
17 Oct 2022
LAION-5B: An open large-scale dataset for training next generation
  image-text models
LAION-5B: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann
Romain Beaumont
Richard Vencu
Cade Gordon
Ross Wightman
...
Srivatsa Kundurthy
Katherine Crowson
Ludwig Schmidt
R. Kaczmarczyk
J. Jitsev
VLM
MLLM
CLIP
90
3,276
0
16 Oct 2022
Caption supervision enables robust learners
Caption supervision enables robust learners
Ben Feuer
Ameya Joshi
C. Hegde
SSL
CLIP
VLM
39
2
0
13 Oct 2022
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