Invariant Risk Minimization

5 July 2019

Papers citing "Invariant Risk Minimization"

50 / 1,404 papers shown

Title
On the Transfer of Disentangled Representations in Realistic Settings Andrea Dittadi Frederik Trauble Francesco Locatello M. Wuthrich Vaibhav Agrawal Ole Winther Stefan Bauer Bernhard Schölkopf OOD 33 80 0 27 Oct 2020
TAMPC: A Controller for Escaping Traps in Novel Environments Sheng Zhong Zhenyuan Zhang Nima Fazeli Dmitry Berenson 15 7 0 23 Oct 2020
Algorithms for Causal Reasoning in Probability Trees Tim Genewein Tom McGrath Grégoire Delétang Vladimir Mikulik Miljan Martic Shane Legg Pedro A. Ortega TPM CML 15 16 0 23 Oct 2020
Coping with Label Shift via Distributionally Robust Optimisation Junzhe Zhang A. Menon Andreas Veit Srinadh Bhojanapalli Sanjiv Kumar S. Sra OOD 24 70 0 23 Oct 2020
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies Itai Gat Idan Schwartz A. Schwing Tamir Hazan 55 89 0 21 Oct 2020
Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction Shuxi Zeng Murat Ali Bayir Joel Pfeiffer Denis Xavier Charles Emre Kıcıman TTA 13 18 0 17 Oct 2020
Environment Inference for Invariant Learning Elliot Creager J. Jacobsen R. Zemel OOD 17 371 0 14 Oct 2020
The Risks of Invariant Risk Minimization Elan Rosenfeld Pradeep Ravikumar Andrej Risteski OOD 22 304 0 12 Oct 2020
Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation Bo-wen Li Yezhen Wang Shanghang Zhang Dongsheng Li Trevor Darrell Kurt Keutzer Han Zhao OOD 14 93 0 09 Oct 2020
Online Safety Assurance for Deep Reinforcement Learning Noga H. Rotman Michael Schapira Aviv Tamar OffRL 36 5 0 07 Oct 2020
Exploiting non-i.i.d. data towards more robust machine learning algorithms W. Casteels P. Hellinckx OOD CML 11 1 0 07 Oct 2020
Explaining The Efficacy of Counterfactually Augmented Data Divyansh Kaushik Amrith Rajagopal Setlur Eduard H. Hovy Zachary Chase Lipton CML 20 81 0 05 Oct 2020
Think before you act: A simple baseline for compositional generalization C. Heinze-Deml Diane Bouchacourt CoGe 15 16 0 29 Sep 2020
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks Keyulu Xu Mozhi Zhang Jingling Li S. Du Ken-ichi Kawarabayashi Stefanie Jegelka MLT 19 305 0 24 Sep 2020
MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering Tejas Gokhale Pratyay Banerjee Chitta Baral Yezhou Yang OOD 14 139 0 18 Sep 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
Fairness in the Eyes of the Data: Certifying Machine-Learning Models Shahar Segal Yossi Adi Benny Pinkas Carsten Baum C. Ganesh Joseph Keshet FedML 13 34 0 03 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
How Useful Are the Machine-Generated Interpretations to General Users? A Human Evaluation on Guessing the Incorrectly Predicted Labels Hua Shen Ting-Hao 'Kenneth' Huang FAtt HAI 9 56 0 26 Aug 2020
Model Patching: Closing the Subgroup Performance Gap with Data Augmentation Karan Goel Albert Gu Yixuan Li Christopher Ré 10 118 0 15 Aug 2020
Null-sampling for Interpretable and Fair Representations T. Kehrenberg Myles Bartlett Oliver Thomas Novi Quadrianto OOD 12 29 0 12 Aug 2020
BREEDS: Benchmarks for Subpopulation Shift Shibani Santurkar Dimitris Tsipras A. Madry OOD 16 168 0 11 Aug 2020
When is invariance useful in an Out-of-Distribution Generalization problem ? Masanori Koyama Shoichiro Yamaguchi OOD 34 65 0 04 Aug 2020
Learning Invariant Feature Representation to Improve Generalization across Chest X-ray Datasets S. Ghimire Satyananda Kashyap Joy T. Wu Alexandros Karargyris Mehdi Moradi OOD 18 8 0 04 Aug 2020
Out-of-distribution Generalization via Partial Feature Decorrelation Xin Guo Zhengxu Yu Chao Xiang Zhongming Jin Jianqiang Huang Deng Cai Xiaofei He Xiansheng Hua OODD OOD 12 0 0 30 Jul 2020
Accounting for Unobserved Confounding in Domain Generalization Alexis Bellot M. Schaar CML OOD 17 23 0 21 Jul 2020
Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective Ruixiang Zhang Masanori Koyama Katsuhiko Ishiguro CML 6 6 0 21 Jul 2020
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models Lifu Tu Garima Lalwani Spandana Gella He He LRM 21 184 0 14 Jul 2020
Adversarially-Trained Deep Nets Transfer Better: Illustration on Image Classification Francisco Utrera Evan Kravitz N. Benjamin Erichson Rekha Khanna Michael W. Mahoney GAN 19 33 0 11 Jul 2020
Generative Compositional Augmentations for Scene Graph Prediction Boris Knyazev H. D. Vries Cătălina Cangea Graham W. Taylor Aaron Courville Eugene Belilovsky 18 25 0 11 Jul 2020
Robust Classification under Class-Dependent Domain Shift T. Galstyan Hrant Khachatrian Greg Ver Steeg Aram Galstyan OOD 11 2 0 10 Jul 2020
Predicting the Accuracy of a Few-Shot Classifier Myriam Bontonou Louis Bethune Vincent Gripon 8 4 0 08 Jul 2020
Adaptive Risk Minimization: Learning to Adapt to Domain Shift Marvin Zhang Henrik Marklund Nikita Dhawan Abhishek Gupta Sergey Levine Chelsea Finn OOD 11 197 0 06 Jul 2020
In Search of Lost Domain Generalization Ishaan Gulrajani David Lopez-Paz OOD 26 1,112 0 02 Jul 2020
A No-Free-Lunch Theorem for MultiTask Learning Steve Hanneke Samory Kpotufe 18 39 0 29 Jun 2020
A causal view of compositional zero-shot recognition Y. Atzmon Felix Kreuk Uri Shalit Gal Chechik OCL BDL CML 61 117 0 25 Jun 2020
Target Consistency for Domain Adaptation: when Robustness meets Transferability Yassine Ouali Victor Bouvier Myriam Tami C´eline Hudelot OOD 19 3 0 25 Jun 2020
Robust Domain Adaptation: Representations, Weights and Inductive Bias Victor Bouvier P. Very C. Chastagnol Myriam Tami C´eline Hudelot OOD 16 10 0 24 Jun 2020
Feature Expansive Reward Learning: Rethinking Human Input Andreea Bobu Marius Wiggert Claire Tomlin Anca Dragan 19 44 0 23 Jun 2020
Counterfactually Guided Off-policy Transfer in Clinical Settings Taylor W. Killian Marzyeh Ghassemi Shalmali Joshi CML OffRL OOD 29 11 0 20 Jun 2020
Representation via Representations: Domain Generalization via Adversarially Learned Invariant Representations Zhun Deng Frances Ding Cynthia Dwork Rachel Hong Giovanni Parmigiani Prasad Patil Pragya Sur OOD FaML 11 29 0 20 Jun 2020
Efficient nonparametric statistical inference on population feature importance using Shapley values B. Williamson Jean Feng FAtt 13 70 0 16 Jun 2020
Extrapolatable Relational Reasoning With Comparators in Low-Dimensional Manifolds Duo Wang M. Jamnik Pietro Lió OOD 10 1 0 15 Jun 2020
Risk Variance Penalization Chuanlong Xie Haotian Ye Fei Chen Yue Liu Rui Sun Zhenguo Li 48 33 0 13 Jun 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
Stable Adversarial Learning under Distributional Shifts Jiashuo Liu Zheyan Shen Peng Cui Linjun Zhou Kun Kuang Yangqiu Song Yishi Lin OOD 27 30 0 08 Jun 2020
Enforcing Predictive Invariance across Structured Biomedical Domains Wengong Jin Regina Barzilay Tommi Jaakkola OOD 24 27 0 06 Jun 2020