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Focus on the Common Good: Group Distributional Robustness Follows
v1v2 (latest)

Focus on the Common Good: Group Distributional Robustness Follows

6 October 2021
Vihari Piratla
Praneeth Netrapalli
Sunita Sarawagi
    OOD
ArXiv (abs)PDFHTML

Papers citing "Focus on the Common Good: Group Distributional Robustness Follows"

21 / 21 papers shown
Title
Just Train Twice: Improving Group Robustness without Training Group
  Information
Just Train Twice: Improving Group Robustness without Training Group Information
Emmy Liu
Behzad Haghgoo
Annie S. Chen
Aditi Raghunathan
Pang Wei Koh
Shiori Sagawa
Percy Liang
Chelsea Finn
OOD
100
562
0
19 Jul 2021
Examining and Combating Spurious Features under Distribution Shift
Examining and Combating Spurious Features under Distribution Shift
Chunting Zhou
Xuezhe Ma
Paul Michel
Graham Neubig
OOD
83
68
0
14 Jun 2021
DORO: Distributional and Outlier Robust Optimization
DORO: Distributional and Outlier Robust Optimization
Runtian Zhai
Chen Dan
J. Zico Kolter
Pradeep Ravikumar
53
62
0
11 Jun 2021
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers
Yujia Bao
Shiyu Chang
Regina Barzilay
74
21
0
26 May 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Pang Wei Koh
Shiori Sagawa
Henrik Marklund
Sang Michael Xie
Marvin Zhang
...
A. Kundaje
Emma Pierson
Sergey Levine
Chelsea Finn
Percy Liang
OOD
225
1,445
0
14 Dec 2020
Environment Inference for Invariant Learning
Environment Inference for Invariant Learning
Elliot Creager
J. Jacobsen
R. Zemel
OOD
61
384
0
14 Oct 2020
On Negative Interference in Multilingual Models: Findings and A
  Meta-Learning Treatment
On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment
Zirui Wang
Zachary Chase Lipton
Yulia Tsvetkov
66
32
0
06 Oct 2020
Model Patching: Closing the Subgroup Performance Gap with Data
  Augmentation
Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
Karan Goel
Albert Gu
Yixuan Li
Christopher Ré
87
121
0
15 Aug 2020
An Investigation of Why Overparameterization Exacerbates Spurious
  Correlations
An Investigation of Why Overparameterization Exacerbates Spurious Correlations
Shiori Sagawa
Aditi Raghunathan
Pang Wei Koh
Percy Liang
193
383
0
09 May 2020
Invariant Risk Minimization
Invariant Risk Minimization
Martín Arjovsky
Léon Bottou
Ishaan Gulrajani
David Lopez-Paz
OOD
195
2,242
0
05 Jul 2019
Nuanced Metrics for Measuring Unintended Bias with Real Data for Text
  Classification
Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification
Daniel Borkan
Lucas Dixon
Jeffrey Scott Sorensen
Nithum Thain
Lucy Vasserman
90
492
0
11 Mar 2019
Characterizing and Avoiding Negative Transfer
Characterizing and Avoiding Negative Transfer
Zirui Wang
Zihang Dai
Barnabás Póczós
J. Carbonell
85
418
0
24 Nov 2018
Learning Models with Uniform Performance via Distributionally Robust
  Optimization
Learning Models with Uniform Performance via Distributionally Robust Optimization
John C. Duchi
Hongseok Namkoong
OOD
66
423
0
20 Oct 2018
Fairness Without Demographics in Repeated Loss Minimization
Fairness Without Demographics in Repeated Loss Minimization
Tatsunori B. Hashimoto
Megha Srivastava
Hongseok Namkoong
Percy Liang
FaML
113
584
0
20 Jun 2018
Generalizing Across Domains via Cross-Gradient Training
Generalizing Across Domains via Cross-Gradient Training
Shiv Shankar
Vihari Piratla
Soumen Chakrabarti
S. Chaudhuri
Preethi Jyothi
Sunita Sarawagi
OOD
74
517
0
28 Apr 2018
Annotation Artifacts in Natural Language Inference Data
Annotation Artifacts in Natural Language Inference Data
Suchin Gururangan
Swabha Swayamdipta
Omer Levy
Roy Schwartz
Samuel R. Bowman
Noah A. Smith
155
1,180
0
06 Mar 2018
Functional Map of the World
Functional Map of the World
Gordon A. Christie
Neil Fendley
James Wilson
R. Mukherjee
VGen
75
398
0
21 Nov 2017
Learning to select data for transfer learning with Bayesian Optimization
Learning to select data for transfer learning with Bayesian Optimization
Sebastian Ruder
Barbara Plank
80
185
0
17 Jul 2017
A Broad-Coverage Challenge Corpus for Sentence Understanding through
  Inference
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Adina Williams
Nikita Nangia
Samuel R. Bowman
524
4,494
0
18 Apr 2017
Does Distributionally Robust Supervised Learning Give Robust
  Classifiers?
Does Distributionally Robust Supervised Learning Give Robust Classifiers?
Weihua Hu
Gang Niu
Issei Sato
Masashi Sugiyama
OOD
65
60
0
07 Nov 2016
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Baochen Sun
Kate Saenko
OOD
105
3,165
0
06 Jul 2016
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