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2204.02937
Cited By
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations
6 April 2022
Polina Kirichenko
Pavel Izmailov
A. Wilson
OOD
Re-assign community
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Papers citing
"Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations"
38 / 238 papers shown
Title
Malign Overfitting: Interpolation Can Provably Preclude Invariance
Yoav Wald
G. Yona
Uri Shalit
Y. Carmon
17
5
0
28 Nov 2022
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers
Wanqian Yang
Polina Kirichenko
Micah Goldblum
A. Wilson
DRL
27
10
0
28 Nov 2022
Invariant Learning via Diffusion Dreamed Distribution Shifts
Priyatham Kattakinda
Alexander Levine
S. Feizi
DiffM
23
10
0
18 Nov 2022
Mechanistic Mode Connectivity
Ekdeep Singh Lubana
Eric J. Bigelow
Robert P. Dick
David M. Krueger
Hidenori Tanaka
32
45
0
15 Nov 2022
Elastic Weight Consolidation Improves the Robustness of Self-Supervised Learning Methods under Transfer
Andrius Ovsianas
Jason Ramapuram
Dan Busbridge
Eeshan Gunesh Dhekane
Russ Webb
18
4
0
28 Oct 2022
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts
Yoonho Lee
Annie S. Chen
Fahim Tajwar
Ananya Kumar
Huaxiu Yao
Percy Liang
Chelsea Finn
OOD
58
197
0
20 Oct 2022
On Feature Learning in the Presence of Spurious Correlations
Pavel Izmailov
Polina Kirichenko
Nate Gruver
A. Wilson
34
117
0
20 Oct 2022
Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise
Haotian Ye
James Zou
Linjun Zhang
OOD
33
21
0
20 Oct 2022
Self-supervised debiasing using low rank regularization
Geon Yeong Park
Chanyong Jung
Sangmin Lee
Jong Chul Ye
Sang Wan Lee
CML
SSL
36
3
0
11 Oct 2022
On Background Bias in Deep Metric Learning
Konstantin Kobs
Andreas Hotho
22
1
0
04 Oct 2022
Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in Neural Networks
Sravanti Addepalli
Anshul Nasery
R. Venkatesh Babu
Praneeth Netrapalli
Prateek Jain
AAML
38
3
0
04 Oct 2022
Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation
A. Puli
Nitish Joshi
Yoav Wald
Hera Y. He
Rajesh Ranganath
40
16
0
04 Oct 2022
Explicit Tradeoffs between Adversarial and Natural Distributional Robustness
Mazda Moayeri
Kiarash Banihashem
S. Feizi
OOD
75
21
0
15 Sep 2022
Take One Gram of Neural Features, Get Enhanced Group Robustness
Simon Roburin
Charles Corbière
Gilles Puy
Nicolas Thome
Matthieu Aubry
Renaud Marlet
Patrick Pérez
OOD
19
0
0
26 Aug 2022
DAFT: Distilling Adversarially Fine-tuned Models for Better OOD Generalization
Anshul Nasery
Sravanti Addepalli
Praneeth Netrapalli
Prateek Jain
OOD
FedML
39
1
0
19 Aug 2022
Repeated Environment Inference for Invariant Learning
Aayush Mishra
Anqi Liu
BDL
OOD
28
0
0
26 Jul 2022
Exploring the Design of Adaptation Protocols for Improved Generalization and Machine Learning Safety
Puja Trivedi
Danai Koutra
Jayaraman J. Thiagarajan
AAML
28
0
0
26 Jul 2022
Contrastive Adapters for Foundation Model Group Robustness
Michael Zhang
Christopher Ré
VLM
18
61
0
14 Jul 2022
Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning
Damien Teney
Maxime Peyrard
Ehsan Abbasnejad
35
29
0
06 Jul 2022
Guillotine Regularization: Why removing layers is needed to improve generalization in Self-Supervised Learning
Florian Bordes
Randall Balestriero
Q. Garrido
Adrien Bardes
Pascal Vincent
32
22
0
27 Jun 2022
Understanding Robust Learning through the Lens of Representation Similarities
Christian Cianfarani
A. Bhagoji
Vikash Sehwag
Ben Y. Zhao
Prateek Mittal
Haitao Zheng
OOD
21
16
0
20 Jun 2022
How Robust is Unsupervised Representation Learning to Distribution Shift?
Yuge Shi
Imant Daunhawer
Julia E. Vogt
Philip H. S. Torr
Amartya Sanyal
OOD
32
25
0
17 Jun 2022
Revisiting the Shape-Bias of Deep Learning for Dermoscopic Skin Lesion Classification
Adriano Lucieri
Fabian Schmeisser
Christoph Balada
Shoaib Ahmed Siddiqui
Andreas Dengel
Sheraz Ahmed
17
3
0
13 Jun 2022
Feature Space Particle Inference for Neural Network Ensembles
Shingo Yashima
Teppei Suzuki
Kohta Ishikawa
Ikuro Sato
Rei Kawakami
BDL
14
11
0
02 Jun 2022
Why does Throwing Away Data Improve Worst-Group Error?
Kamalika Chaudhuri
Kartik Ahuja
Martín Arjovsky
David Lopez-Paz
28
15
0
23 May 2022
Diverse Weight Averaging for Out-of-Distribution Generalization
Alexandre Ramé
Matthieu Kirchmeyer
Thibaud Rahier
A. Rakotomamonjy
Patrick Gallinari
Matthieu Cord
OOD
199
128
0
19 May 2022
Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers
Arda Sahiner
Tolga Ergen
Batu Mehmet Ozturkler
John M. Pauly
Morteza Mardani
Mert Pilanci
34
33
0
17 May 2022
Improved Group Robustness via Classifier Retraining on Independent Splits
Thien Hai Nguyen
Hongyang R. Zhang
Huy Le Nguyen
OOD
31
2
0
20 Apr 2022
Geodesic Multi-Modal Mixup for Robust Fine-Tuning
Changdae Oh
Junhyuk So
Hoyoon Byun
Yongtaek Lim
Minchul Shin
Jong-June Jeon
Kyungwoo Song
33
26
0
08 Mar 2022
Diversify and Disambiguate: Learning From Underspecified Data
Yoonho Lee
Huaxiu Yao
Chelsea Finn
213
64
0
07 Feb 2022
Controlling Directions Orthogonal to a Classifier
Yilun Xu
Hao He
T. Shen
Tommi Jaakkola
61
19
0
27 Jan 2022
Training Multi-Layer Over-Parametrized Neural Network in Subquadratic Time
Zhao-quan Song
Licheng Zhang
Ruizhe Zhang
23
64
0
14 Dec 2021
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,443
0
11 Nov 2021
Learning to Estimate Without Bias
Niv Nayman
Rong Jin
Lihi Zelnik-Manor
11
12
0
24 Oct 2021
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective
Luca Scimeca
Seong Joon Oh
Sanghyuk Chun
Michael Poli
Sangdoo Yun
OOD
384
49
0
06 Oct 2021
Recent Advances of Continual Learning in Computer Vision: An Overview
Haoxuan Qu
Hossein Rahmani
Li Xu
Bryan M. Williams
Jun Liu
VLM
CLL
25
73
0
23 Sep 2021
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David M. Krueger
Ethan Caballero
J. Jacobsen
Amy Zhang
Jonathan Binas
Dinghuai Zhang
Rémi Le Priol
Aaron Courville
OOD
215
901
0
02 Mar 2020
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
207
2,084
0
24 Oct 2016
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