Invariant Risk Minimization Games

11 February 2020

Kartik Ahuja

Karthikeyan Shanmugam

Papers citing "Invariant Risk Minimization Games"

23 / 173 papers shown

Title
Does Invariant Risk Minimization Capture Invariance? Pritish Kamath Akilesh Tangella Danica J. Sutherland Nathan Srebro OOD 198 125 0 04 Jan 2021
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation Haoyue Bai Rui Sun Lanqing Hong Fengwei Zhou Nanyang Ye Han-Jia Ye Shueng-Han Gary Chan Zhenguo Li OOD OODD CML 20 77 0 17 Dec 2020
Cross-Domain Sentiment Classification with In-Domain Contrastive Learning Tian Li Xiang Chen Shanghang Zhang Zhen Dong Kurt Keutzer 14 4 0 05 Dec 2020
Gradient Starvation: A Learning Proclivity in Neural Networks Mohammad Pezeshki Sekouba Kaba Yoshua Bengio Aaron Courville Doina Precup Guillaume Lajoie MLT 50 257 0 18 Nov 2020
Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian Jack Parker-Holder Luke Metz Cinjon Resnick Hengyuan Hu Adam Lerer Alistair Letcher A. Peysakhovich Aldo Pacchiano Jakob N. Foerster 6 24 0 12 Nov 2020
Empirical or Invariant Risk Minimization? A Sample Complexity Perspective Kartik Ahuja Jun Wang Amit Dhurandhar Karthikeyan Shanmugam Kush R. Varshney OOD 32 79 0 30 Oct 2020
Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions Kartik Ahuja Karthikeyan Shanmugam Amit Dhurandhar 14 9 0 28 Oct 2020
Synbols: Probing Learning Algorithms with Synthetic Datasets Alexandre Lacoste Pau Rodríguez Frederic Branchaud-Charron Parmida Atighehchian Massimo Caccia I. Laradji Alexandre Drouin Matt Craddock Laurent Charlin David Vázquez 31 14 0 14 Sep 2020
Learning explanations that are hard to vary Giambattista Parascandolo Alexander Neitz Antonio Orvieto Luigi Gresele Bernhard Schölkopf FAtt 21 178 0 01 Sep 2020
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization Prithvijit Chattopadhyay Yogesh Balaji Judy Hoffman OOD 23 204 0 28 Aug 2020
When is invariance useful in an Out-of-Distribution Generalization problem ? Masanori Koyama Shoichiro Yamaguchi OOD 34 65 0 04 Aug 2020
Accounting for Unobserved Confounding in Domain Generalization Alexis Bellot M. Schaar CML OOD 17 23 0 21 Jul 2020
In Search of Lost Domain Generalization Ishaan Gulrajani David Lopez-Paz OOD 26 1,112 0 02 Jul 2020
Domain Generalization using Causal Matching Divyat Mahajan Shruti Tople Amit Sharma OOD 14 325 0 12 Jun 2020
Learning Causal Models Online Khurram Javed Martha White Yoshua Bengio CML 8 33 0 12 Jun 2020
Learning Diverse Representations for Fast Adaptation to Distribution Shift Daniel Pace A. Russo Murray Shanahan OOD 34 2 0 12 Jun 2020
Enforcing Predictive Invariance across Structured Biomedical Domains Wengong Jin Regina Barzilay Tommi Jaakkola OOD 24 27 0 06 Jun 2020
Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement Learning Anoopkumar Sonar Vincent Pacelli Anirudha Majumdar 10 53 0 01 Jun 2020
An Empirical Study of Invariant Risk Minimization Yo Joong Choe Jiyeon Ham Kyubyong Park OOD 20 50 0 10 Apr 2020
Efficient Domain Generalization via Common-Specific Low-Rank Decomposition Vihari Piratla Praneeth Netrapalli Sunita Sarawagi OOD 14 216 0 28 Mar 2020
Unshuffling Data for Improved Generalization Damien Teney Ehsan Abbasnejad Anton Van Den Hengel OOD 23 76 0 27 Feb 2020
Generalizing to unseen domains via distribution matching Isabela Albuquerque João Monteiro Mohammad Javad Darvishi Bayazi T. Falk Ioannis Mitliagkas OOD 24 154 0 03 Nov 2019
A Unifying Causal Framework for Analyzing Dataset Shift-stable Learning Algorithms Adarsh Subbaswamy Bryant Chen S. Saria OOD 19 18 0 27 May 2019