ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2105.12628
  4. Cited By
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers

Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers

26 May 2021
Yujia Bao
Shiyu Chang
Regina Barzilay
ArXivPDFHTML

Papers citing "Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers"

20 / 20 papers shown
Title
An XAI-based Analysis of Shortcut Learning in Neural Networks
An XAI-based Analysis of Shortcut Learning in Neural Networks
Phuong Quynh Le
Jorg Schlotterer
Christin Seifert
AAML
29
0
0
22 Apr 2025
Mitigating Simplicity Bias in Deep Learning for Improved OOD
  Generalization and Robustness
Mitigating Simplicity Bias in Deep Learning for Improved OOD Generalization and Robustness
Bhavya Vasudeva
Kameron Shahabi
Vatsal Sharan
35
2
0
09 Oct 2023
Supervised Contrastive Learning with Heterogeneous Similarity for
  Distribution Shifts
Supervised Contrastive Learning with Heterogeneous Similarity for Distribution Shifts
Takuro Kutsuna
16
1
0
07 Apr 2023
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One
  Amplifies Others
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others
Zhiheng Li
Ivan Evtimov
Albert Gordo
C. Hazirbas
Tal Hassner
Cristian Canton Ferrer
Chenliang Xu
Mark Ibrahim
34
71
0
09 Dec 2022
Outlier-Aware Training for Improving Group Accuracy Disparities
Outlier-Aware Training for Improving Group Accuracy Disparities
Li-Kuang Chen
Canasai Kruengkrai
Junichi Yamagishi
29
0
0
27 Oct 2022
Discover and Mitigate Unknown Biases with Debiasing Alternate Networks
Discover and Mitigate Unknown Biases with Debiasing Alternate Networks
Zhiheng Li
A. Hoogs
Chenliang Xu
32
53
0
20 Jul 2022
Causal Balancing for Domain Generalization
Causal Balancing for Domain Generalization
Xinyi Wang
Michael Stephen Saxon
Jiachen Li
Hongyang R. Zhang
Kun Zhang
William Yang Wang
OOD
CML
42
21
0
10 Jun 2022
Mitigating Dataset Bias by Using Per-sample Gradient
Mitigating Dataset Bias by Using Per-sample Gradient
Sumyeong Ahn
Seongyoon Kim
Se-Young Yun
45
20
0
31 May 2022
Learning to Split for Automatic Bias Detection
Learning to Split for Automatic Bias Detection
Yujia Bao
Regina Barzilay
17
20
0
28 Apr 2022
Rich Feature Construction for the Optimization-Generalization Dilemma
Rich Feature Construction for the Optimization-Generalization Dilemma
Jianyu Zhang
David Lopez-Paz
Léon Bottou
19
36
0
24 Mar 2022
Simple data balancing achieves competitive worst-group-accuracy
Simple data balancing achieves competitive worst-group-accuracy
Badr Youbi Idrissi
Martín Arjovsky
Mohammad Pezeshki
David Lopez-Paz
39
173
0
27 Oct 2021
Focus on the Common Good: Group Distributional Robustness Follows
Focus on the Common Good: Group Distributional Robustness Follows
Vihari Piratla
Praneeth Netrapalli
Sunita Sarawagi
OOD
28
25
0
06 Oct 2021
Measuring and Improving Model-Moderator Collaboration using Uncertainty
  Estimation
Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation
Ian D Kivlichan
Zi Lin
J. Liu
Lucy Vasserman
14
19
0
09 Jul 2021
Learning Stable Classifiers by Transferring Unstable Features
Learning Stable Classifiers by Transferring Unstable Features
Yujia Bao
Shiyu Chang
Regina Barzilay
OOD
27
8
0
15 Jun 2021
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
152
371
0
09 May 2020
Invariant Rationalization
Invariant Rationalization
Shiyu Chang
Yang Zhang
Mo Yu
Tommi Jaakkola
179
201
0
22 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx)
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
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
219
1,780
0
02 Mar 2017
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
255
13,368
0
25 Aug 2014
Learning Attitudes and Attributes from Multi-Aspect Reviews
Learning Attitudes and Attributes from Multi-Aspect Reviews
Julian McAuley
J. Leskovec
Dan Jurafsky
200
296
0
15 Oct 2012
1