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Focus on the Common Good: Group Distributional Robustness Follows

Focus on the Common Good: Group Distributional Robustness Follows

6 October 2021
Vihari Piratla
Praneeth Netrapalli
Sunita Sarawagi
    OOD
ArXivPDFHTML

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

19 / 19 papers shown
Title
Taking a Moment for Distributional Robustness
Taking a Moment for Distributional Robustness
Jabari Hastings
Christopher Jung
Charlotte Peale
Vasilis Syrgkanis
OOD
25
1
0
08 May 2024
Controllable Prompt Tuning For Balancing Group Distributional Robustness
Controllable Prompt Tuning For Balancing Group Distributional Robustness
Hoang Phan
Andrew Gordon Wilson
Qi Lei
36
5
0
05 Mar 2024
Intersectional Two-sided Fairness in Recommendation
Intersectional Two-sided Fairness in Recommendation
Yifan Wang
Peijie Sun
Weizhi Ma
Min Zhang
Yuan Zhang
Peng Jiang
Shaoping Ma
FaML
19
8
0
05 Feb 2024
Robust Multi-Task Learning with Excess Risks
Robust Multi-Task Learning with Excess Risks
Yifei He
Shiji Zhou
Guojun Zhang
Hyokun Yun
Yi Tian Xu
Belinda Zeng
Trishul M. Chilimbi
Han Zhao
53
7
0
03 Feb 2024
Class Distribution Shifts in Zero-Shot Learning: Learning Robust
  Representations
Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations
Y. Slavutsky
Y. Benjamini
VLM
OOD
25
0
0
30 Nov 2023
Assessing and Enhancing Robustness of Deep Learning Models with
  Corruption Emulation in Digital Pathology
Assessing and Enhancing Robustness of Deep Learning Models with Corruption Emulation in Digital Pathology
Peixiang Huang
Songtao Zhang
Yulu Gan
Rui Xu
Rongqi Zhu
Wenkang Qin
Limei Guo
Shan Jiang
Lin Luo
15
4
0
31 Oct 2023
Distributionally Robust Post-hoc Classifiers under Prior Shifts
Distributionally Robust Post-hoc Classifiers under Prior Shifts
Jiaheng Wei
Harikrishna Narasimhan
Ehsan Amid
Wenjun Chu
Yang Liu
Abhishek Kumar
OOD
42
16
0
16 Sep 2023
Domain Generalization via Rationale Invariance
Domain Generalization via Rationale Invariance
Liang Chen
Yong Zhang
Yibing Song
A. Hengel
Lingqiao Liu
OOD
19
12
0
22 Aug 2023
Scaff-PD: Communication Efficient Fair and Robust Federated Learning
Scaff-PD: Communication Efficient Fair and Robust Federated Learning
Yaodong Yu
Sai Praneeth Karimireddy
Yi-An Ma
Michael I. Jordan
FedML
13
3
0
25 Jul 2023
Improving Multitask Retrieval by Promoting Task Specialization
Improving Multitask Retrieval by Promoting Task Specialization
Wenzheng Zhang
Chenyan Xiong
K. Stratos
Arnold Overwijk
LRM
11
2
0
01 Jul 2023
Reweighted Mixup for Subpopulation Shift
Reweighted Mixup for Subpopulation Shift
Zongbo Han
Zhipeng Liang
Fan Yang
Liu Liu
Lanqing Li
...
P. Zhao
Qinghua Hu
Bing Wu
Changqing Zhang
Jianhua Yao
16
3
0
09 Apr 2023
Robust Generalization against Photon-Limited Corruptions via Worst-Case
  Sharpness Minimization
Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization
Zhuo Huang
Miaoxi Zhu
Xiaobo Xia
Li Shen
Jun Yu
Chen Gong
Bo Han
Bo Du
Tongliang Liu
30
30
0
23 Mar 2023
Use Perturbations when Learning from Explanations
Use Perturbations when Learning from Explanations
Juyeon Heo
Vihari Piratla
Matthew Wicker
Adrian Weller
AAML
14
1
0
11 Mar 2023
AGRO: Adversarial Discovery of Error-prone groups for Robust
  Optimization
AGRO: Adversarial Discovery of Error-prone groups for Robust Optimization
Bhargavi Paranjape
Pradeep Dasigi
Vivek Srikumar
Luke Zettlemoyer
Hannaneh Hajishirzi
23
7
0
02 Dec 2022
COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with
  Contrastive and Distributionally Robust Learning
COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning
Yue Yu
Chenyan Xiong
Si Sun
Chao Zhang
Arnold Overwijk
VLM
OOD
28
22
0
27 Oct 2022
UMIX: Improving Importance Weighting for Subpopulation Shift via
  Uncertainty-Aware Mixup
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup
Zongbo Han
Zhipeng Liang
Fan Yang
Liu Liu
Lanqing Li
Yatao Bian
P. Zhao
Bing Wu
Changqing Zhang
Jianhua Yao
48
34
0
19 Sep 2022
Gated Domain Units for Multi-source Domain Generalization
Gated Domain Units for Multi-source Domain Generalization
Simon Foll
Alina Dubatovka
Eugen Ernst
Siu Lun Chau
Martin Maritsch
Patrik Okanovic
Gudrun Thater
J. M. Buhmann
Felix Wortmann
Krikamol Muandet
OOD
33
3
0
24 Jun 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
21
21
0
10 Jun 2022
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
144
369
0
09 May 2020
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