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Self-training Avoids Using Spurious Features Under Domain Shift

Self-training Avoids Using Spurious Features Under Domain Shift

17 June 2020
Yining Chen
Colin Wei
Ananya Kumar
Tengyu Ma
    OOD
ArXivPDFHTML

Papers citing "Self-training Avoids Using Spurious Features Under Domain Shift"

26 / 26 papers shown
Title
Bridging Domain Gap of Point Cloud Representations via Self-Supervised
  Geometric Augmentation
Bridging Domain Gap of Point Cloud Representations via Self-Supervised Geometric Augmentation
Li Yu
Hongchao Zhong
Longkun Zou
Ke Chen
Pan Gao
3DPC
36
0
0
11 Sep 2024
Retraining with Predicted Hard Labels Provably Increases Model Accuracy
Retraining with Predicted Hard Labels Provably Increases Model Accuracy
Rudrajit Das
Inderjit S Dhillon
Alessandro Epasto
Adel Javanmard
Jieming Mao
Vahab Mirrokni
Sujay Sanghavi
Peilin Zhong
46
1
0
17 Jun 2024
Theoretical Analysis of Weak-to-Strong Generalization
Theoretical Analysis of Weak-to-Strong Generalization
Hunter Lang
David Sontag
Aravindan Vijayaraghavan
21
19
0
25 May 2024
Non-stationary Domain Generalization: Theory and Algorithm
Non-stationary Domain Generalization: Theory and Algorithm
Thai-Hoang Pham
Xueru Zhang
Ping Zhang
OOD
48
1
0
10 May 2024
Domain Adaptation for Large-Vocabulary Object Detectors
Domain Adaptation for Large-Vocabulary Object Detectors
Kai Jiang
Jiaxing Huang
Weiying Xie
Jie Lei
Yunsong Li
Ling Shao
Shijian Lu
ObjD
VLM
32
2
0
13 Jan 2024
Can semi-supervised learning use all the data effectively? A lower bound
  perspective
Can semi-supervised learning use all the data effectively? A lower bound perspective
Alexandru cTifrea
Gizem Yüce
Amartya Sanyal
Fanny Yang
34
3
0
30 Nov 2023
IW-GAE: Importance Weighted Group Accuracy Estimation for Improved
  Calibration and Model Selection in Unsupervised Domain Adaptation
IW-GAE: Importance Weighted Group Accuracy Estimation for Improved Calibration and Model Selection in Unsupervised Domain Adaptation
Taejong Joo
Diego Klabjan
33
1
0
16 Oct 2023
Confidence-Based Model Selection: When to Take Shortcuts for
  Subpopulation Shifts
Confidence-Based Model Selection: When to Take Shortcuts for Subpopulation Shifts
Annie S. Chen
Yoonho Lee
Amrith Rajagopal Setlur
Sergey Levine
Chelsea Finn
OOD
16
5
0
19 Jun 2023
Towards Understanding How Self-training Tolerates Data Backdoor
  Poisoning
Towards Understanding How Self-training Tolerates Data Backdoor Poisoning
Soumyadeep Pal
Ren Wang
Yuguang Yao
Sijia Liu
43
6
0
20 Jan 2023
Towards Understanding GD with Hard and Conjugate Pseudo-labels for
  Test-Time Adaptation
Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time Adaptation
Jun-Kun Wang
Andre Wibisono
29
7
0
18 Oct 2022
MaskTune: Mitigating Spurious Correlations by Forcing to Explore
MaskTune: Mitigating Spurious Correlations by Forcing to Explore
Saeid Asgari Taghanaki
Aliasghar Khani
Fereshte Khani
A. Gholami
Linh-Tam Tran
Ali Mahdavi-Amiri
Ghassan Hamarneh
AAML
38
45
0
30 Sep 2022
Efficient Medical Image Assessment via Self-supervised Learning
Efficient Medical Image Assessment via Self-supervised Learning
Chun-Yin Huang
Qi Lei
Xiaoxiao Li
14
2
0
28 Sep 2022
Masked Imitation Learning: Discovering Environment-Invariant Modalities
  in Multimodal Demonstrations
Masked Imitation Learning: Discovering Environment-Invariant Modalities in Multimodal Demonstrations
Yilun Hao
Ruinan Wang
Zhangjie Cao
Zihan Wang
Yuchen Cui
Dorsa Sadigh
29
2
0
16 Sep 2022
Calibrated ensembles can mitigate accuracy tradeoffs under distribution
  shift
Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift
Ananya Kumar
Tengyu Ma
Percy Liang
Aditi Raghunathan
UQCV
OODD
OOD
39
38
0
18 Jul 2022
Gradual Domain Adaptation without Indexed Intermediate Domains
Gradual Domain Adaptation without Indexed Intermediate Domains
Hong-You Chen
Wei-Lun Chao
CLL
57
39
0
11 Jul 2022
The Importance of Background Information for Out of Distribution
  Generalization
The Importance of Background Information for Out of Distribution Generalization
Jupinder Parmar
Khaled Kamal Saab
Brian Pogatchnik
D. Rubin
Christopher Ré
OOD
16
0
0
17 Jun 2022
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of
  Black-Box Predictors
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors
Jianfei Yang
Xiangyu Peng
K. Wang
Zheng Hua Zhu
Jiashi Feng
Lihua Xie
Yang You
24
27
0
28 May 2022
An Information-theoretical Approach to Semi-supervised Learning under
  Covariate-shift
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift
Gholamali Aminian
Mahed Abroshan
Mohammad Mahdi Khalili
Laura Toni
M. Rodrigues
OOD
18
27
0
24 Feb 2022
Self-Training: A Survey
Self-Training: A Survey
Massih-Reza Amini
Vasilii Feofanov
Loïc Pauletto
Lies Hadjadj
Emilie Devijver
Yury Maximov
SSL
28
102
0
24 Feb 2022
Learning Robust Convolutional Neural Networks with Relevant Feature
  Focusing via Explanations
Learning Robust Convolutional Neural Networks with Relevant Feature Focusing via Explanations
Kazuki Adachi
Shinýa Yamaguchi
OOD
24
0
0
09 Feb 2022
How does unlabeled data improve generalization in self-training? A
  one-hidden-layer theoretical analysis
How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis
Shuai Zhang
M. Wang
Sijia Liu
Pin-Yu Chen
Jinjun Xiong
SSL
MLT
39
22
0
21 Jan 2022
Causal Inference in Natural Language Processing: Estimation, Prediction,
  Interpretation and Beyond
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond
Amir Feder
Katherine A. Keith
Emaad A. Manzoor
Reid Pryzant
Dhanya Sridhar
...
Roi Reichart
Margaret E. Roberts
Brandon M Stewart
Victor Veitch
Diyi Yang
CML
32
234
0
02 Sep 2021
Generate, Annotate, and Learn: NLP with Synthetic Text
Generate, Annotate, and Learn: NLP with Synthetic Text
Xuanli He
Islam Nassar
J. Kiros
Gholamreza Haffari
Mohammad Norouzi
31
51
0
11 Jun 2021
Cycle Self-Training for Domain Adaptation
Cycle Self-Training for Domain Adaptation
Hong Liu
Jianmin Wang
Mingsheng Long
25
174
0
05 Mar 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
146
370
0
09 May 2020
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
230
789
0
26 Aug 2019
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