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Stable Adversarial Learning under Distributional Shifts

Stable Adversarial Learning under Distributional Shifts

8 June 2020
Jiashuo Liu
Zheyan Shen
Peng Cui
Linjun Zhou
Kun Kuang
Yangqiu Song
Yishi Lin
    OOD
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Papers citing "Stable Adversarial Learning under Distributional Shifts"

14 / 14 papers shown
Title
Out-of-distribution materials property prediction using adversarial
  learning based fine-tuning
Out-of-distribution materials property prediction using adversarial learning based fine-tuning
Qinyang Li
Nicholas Miklaucic
Jianjun Hu
OODD
AAML
28
0
0
17 Aug 2024
Weighted Risk Invariance: Domain Generalization under Invariant Feature
  Shift
Weighted Risk Invariance: Domain Generalization under Invariant Feature Shift
Gina Wong
Joshua Gleason
Ramalingam Chellappa
Yoav Wald
Anqi Liu
OOD
43
0
0
25 Jul 2024
Graphs Generalization under Distribution Shifts
Graphs Generalization under Distribution Shifts
Qin Tian
Wenjun Wang
Chen Zhao
Minglai Shao
Wang Zhang
Dong Li
OOD
38
2
0
25 Mar 2024
Invariant Random Forest: Tree-Based Model Solution for OOD
  Generalization
Invariant Random Forest: Tree-Based Model Solution for OOD Generalization
Yufan Liao
Qi Wu
Xing Yan
OODD
OOD
36
2
0
07 Dec 2023
Rethinking the Evaluation Protocol of Domain Generalization
Rethinking the Evaluation Protocol of Domain Generalization
Han Yu
Xingxuan Zhang
Renzhe Xu
Jiashuo Liu
Yue He
Peng Cui
OOD
35
7
0
24 May 2023
Moderately Distributional Exploration for Domain Generalization
Moderately Distributional Exploration for Domain Generalization
Ruiqi Dai
Yonggang Zhang
Zhen Fang
Bo Han
Xinmei Tian
OOD
66
18
0
27 Apr 2023
DIRECT: Learning from Sparse and Shifting Rewards using Discriminative
  Reward Co-Training
DIRECT: Learning from Sparse and Shifting Rewards using Discriminative Reward Co-Training
Philipp Altmann
Thomy Phan
Fabian Ritz
Thomas Gabor
Claudia Linnhoff-Popien
OffRL
35
1
0
18 Jan 2023
Exploiting Personalized Invariance for Better Out-of-distribution
  Generalization in Federated Learning
Exploiting Personalized Invariance for Better Out-of-distribution Generalization in Federated Learning
Xueyang Tang
Song Guo
Jie Zhang
FedML
OODD
OOD
43
3
0
21 Nov 2022
Supervision Adaptation Balancing In-distribution Generalization and
  Out-of-distribution Detection
Supervision Adaptation Balancing In-distribution Generalization and Out-of-distribution Detection
Zhilin Zhao
LongBing Cao
Kun-Yu Lin
24
4
0
19 Jun 2022
Treatment Learning Causal Transformer for Noisy Image Classification
Treatment Learning Causal Transformer for Noisy Image Classification
Chao-Han Huck Yang
I-Te Danny Hung
Yi-Chieh Liu
Pin-Yu Chen
ViT
21
7
0
29 Mar 2022
Unified Group Fairness on Federated Learning
Unified Group Fairness on Federated Learning
Fengda Zhang
Kun Kuang
Yuxuan Liu
Long Chen
Chao-Xiang Wu
Fei Wu
Jiaxun Lu
Yunfeng Shao
Jun Xiao
FedML
65
20
0
09 Nov 2021
Towards Out-Of-Distribution Generalization: A Survey
Towards Out-Of-Distribution Generalization: A Survey
Jiashuo Liu
Zheyan Shen
Yue He
Xingxuan Zhang
Renzhe Xu
Han Yu
Peng Cui
CML
OOD
69
519
0
31 Aug 2021
Generalization Bounds with Minimal Dependency on Hypothesis Class via
  Distributionally Robust Optimization
Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization
Yibo Zeng
Henry Lam
31
7
0
21 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
372
0
09 May 2020
1