Invariant Risk Minimization

5 July 2019

Papers citing "Invariant Risk Minimization"

50 / 1,406 papers shown

Title
PatchMix Augmentation to Identify Causal Features in Few-shot Learning C. Xu Chen Liu Xinwei Sun Siqian Yang Yabiao Wang Chengjie Wang Yanwei Fu 24 16 0 29 Nov 2022
Malign Overfitting: Interpolation Can Provably Preclude Invariance Yoav Wald G. Yona Uri Shalit Y. Carmon 19 6 0 28 Nov 2022
Beyond Invariance: Test-Time Label-Shift Adaptation for Distributions with "Spurious" Correlations Qingyao Sun Kevin Murphy S. Ebrahimi Alexander DÁmour OOD VLM 30 8 0 28 Nov 2022
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers Wanqian Yang Polina Kirichenko Micah Goldblum A. Wilson DRL 30 10 0 28 Nov 2022
Domain Generalization for Robust Model-Based Offline Reinforcement Learning Alan Clark Shoaib Ahmed Siddiqui Robert Kirk Usman Anwar Stephen Chung David M. Krueger OOD OffRL 29 0 0 27 Nov 2022
Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning Sébastien Lachapelle T. Deleu Divyat Mahajan Ioannis Mitliagkas Yoshua Bengio Simon Lacoste-Julien Quentin Bertrand 31 32 0 26 Nov 2022
Direct-Effect Risk Minimization for Domain Generalization Yuhui Li Zejia Wu Chao Zhang Hongyang R. Zhang OOD 39 0 0 26 Nov 2022
Deep neuroevolution for limited, heterogeneous data: proof-of-concept application to Neuroblastoma brain metastasis using a small virtual pooled image collection S. Purkayastha H. Shalu David C Gutman S. Modak E. Basu B. Kushner K. Kramer S. Haque J. Stember MedIm 28 1 0 26 Nov 2022
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time Huaxiu Yao Caroline Choi Bochuan Cao Yoonho Lee Pang Wei Koh Chelsea Finn OOD 27 75 0 25 Nov 2022
Learning Large Causal Structures from Inverse Covariance Matrix via Sparse Matrix Decomposition Shuyu Dong Kento Uemura Akito Fujii Shuang Chang Yusuke Koyanagi Koji Maruhashi Michèle Sebag CML 14 1 0 25 Nov 2022
Cross-Domain Ensemble Distillation for Domain Generalization Kyung-Jin Lee Sungyeon Kim Suha Kwak FedML OOD 28 38 0 25 Nov 2022
A Short Survey of Systematic Generalization Yuanpeng Li AI4CE 43 1 0 22 Nov 2022
First Steps Toward Understanding the Extrapolation of Nonlinear Models to Unseen Domains Kefan Dong Tengyu Ma OOD 21 20 0 21 Nov 2022
Disentangled Representation Learning Xin Eric Wang Hong Chen Siao Tang Zihao Wu Wenwu Zhu DRL 39 78 0 21 Nov 2022
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
Scalable Collaborative Learning via Representation Sharing Frédéric Berdoz Abhishek Singh Martin Jaggi Ramesh Raskar FedML 30 3 0 20 Nov 2022
Decorr: Environment Partitioning for Invariant Learning and OOD Generalization Yufan Liao Qi Wu Zhaodi Wu Xing Yan 13 4 0 18 Nov 2022
Learning with Noisy Labels over Imbalanced Subpopulations Mingcai Chen Yu Zhao Bing He Zongbo Han Bingzhe Wu Jianhua Yao 32 8 0 16 Nov 2022
Empirical Study on Optimizer Selection for Out-of-Distribution Generalization Hiroki Naganuma Kartik Ahuja S. Takagi Tetsuya Motokawa Rio Yokota Kohta Ishikawa I. Sato Ioannis Mitliagkas OOD 13 7 0 15 Nov 2022
Mechanistic Mode Connectivity Ekdeep Singh Lubana Eric J. Bigelow Robert P. Dick David M. Krueger Hidenori Tanaka 34 45 0 15 Nov 2022
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research J. Bornschein Alexandre Galashov Ross Hemsley Amal Rannen-Triki Yutian Chen ... Angeliki Lazaridou Yee Whye Teh Andrei A. Rusu Razvan Pascanu MarcÁurelio Ranzato OOD VLM AI4TS 44 17 0 15 Nov 2022
HMOE: Hypernetwork-based Mixture of Experts for Domain Generalization Jingang Qu T. Faney Zehao Wang Patrick Gallinari Soleiman Yousef J. D. Hemptinne OOD 24 7 0 15 Nov 2022
Explainer Divergence Scores (EDS): Some Post-Hoc Explanations May be Effective for Detecting Unknown Spurious Correlations Shea Cardozo Gabriel Islas Montero Dmitry Kazhdan B. Dimanov Maleakhi A. Wijaya M. Jamnik Pietro Lio AAML 28 0 0 14 Nov 2022
Generalization Beyond Feature Alignment: Concept Activation-Guided Contrastive Learning Yebin Liu Chris Xing Tian Haoliang Li Shiqi Wang 23 1 0 13 Nov 2022
Cross-Platform and Cross-Domain Abusive Language Detection with Supervised Contrastive Learning Md. Tawkat Islam Khondaker Muhammad Abdul-Mageed L. Lakshmanan 20 1 0 11 Nov 2022
Distributional Shift Adaptation using Domain-Specific Features Anique Tahir Lu Cheng Ruocheng Guo Huan Liu VLM TTA OOD OODD 34 2 0 09 Nov 2022
Okapi: Generalising Better by Making Statistical Matches Match Myles Bartlett Sara Romiti V. Sharmanska Novi Quadrianto 45 3 0 07 Nov 2022
FIXED: Frustratingly Easy Domain Generalization with Mixup Wang Lu Jindong Wang Han Yu Lei Huang Xiang Zhang Yiqiang Chen Xingxu Xie 28 6 0 07 Nov 2022
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 41 11 0 07 Nov 2022
Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift Yongduo Sui Qitian Wu Jiancan Wu Daixin Wang Longfei Li An Zhang Xiang Wang Xiangnan He OOD 24 33 0 05 Nov 2022
GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization Xuhai Xu Han Zhang Yasaman S. Sefidgar Yiyi Ren Xin Liu ... Tim Althoff Margaret E. Morris E. Riskin Jennifer Mankoff A. Dey 49 39 0 04 Nov 2022
FedGen: Generalizable Federated Learning for Sequential Data Praveen Venkateswaran Vatche Isahagian Vinod Muthusamy N. Venkatasubramanian OOD FedML 25 10 0 03 Nov 2022
Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning Tasks Sadegh Mahdavi Kevin Swersky Thomas Kipf Milad Hashemi Christos Thrampoulidis Renjie Liao LRM OOD NAI 59 25 0 01 Nov 2022
FL Games: A Federated Learning Framework for Distribution Shifts Sharut Gupta Kartik Ahuja Mohammad Havaei N. Chatterjee Yoshua Bengio OOD FedML 31 18 0 31 Oct 2022
Interpretable Geometric Deep Learning via Learnable Randomness Injection Siqi Miao Yunan Luo Miaoyuan Liu Pan Li 26 25 0 30 Oct 2022
Nonlinear Causal Discovery via Kernel Anchor Regression Wenqi Shi Wenkai Xu CML BDL 27 0 0 30 Oct 2022
A Survey on Causal Representation Learning and Future Work for Medical Image Analysis Chang-Tien Lu OOD BDL CML MedIm 33 0 0 28 Oct 2022
Trade-off between reconstruction loss and feature alignment for domain generalization Thuan Q. Nguyen Boyang Lyu Prakash Ishwar matthias. scheutz Shuchin Aeron OOD 44 1 0 26 Oct 2022
SimpleDG: Simple Domain Generalization Baseline without Bells and Whistles Zhi Lv Bo Lin Siyuan Liang Lihua Wang Mochen Yu Yao Tang Jiajun Liang 34 0 0 26 Oct 2022
Multi-Domain Long-Tailed Learning by Augmenting Disentangled Representations Xinyu Yang Huaxiu Yao Allan Zhou Chelsea Finn 47 3 0 25 Oct 2022
Useful Confidence Measures: Beyond the Max Score G. Yona Amir Feder Itay Laish 81 5 0 25 Oct 2022
Sufficient Invariant Learning for Distribution Shift Taero Kim Sungjun Lim Kyungwoo Song OOD 38 2 0 24 Oct 2022
Bridging Machine Learning and Sciences: Opportunities and Challenges Taoli Cheng UQCV OOD AI4CE 27 2 0 24 Oct 2022
Respecting Transfer Gap in Knowledge Distillation Yulei Niu Long Chen Chan Zhou Hanwang Zhang 26 23 0 23 Oct 2022
Counterfactual Generation Under Confounding Abbavaram Gowtham Reddy Saloni Dash Amit Sharma V. Balasubramanian CML 39 2 0 22 Oct 2022
Just Mix Once: Worst-group Generalization by Group Interpolation Giorgio Giannone Serhii Havrylov Jordan Massiah Emine Yilmaz Yunlong Jiao 42 2 0 21 Oct 2022
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts Yoonho Lee Annie S. Chen Fahim Tajwar Ananya Kumar Huaxiu Yao Percy Liang Chelsea Finn OOD 66 199 0 20 Oct 2022
On Feature Learning in the Presence of Spurious Correlations Pavel Izmailov Polina Kirichenko Nate Gruver A. Wilson 43 118 0 20 Oct 2022
Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise Haotian Ye James Zou Linjun Zhang OOD 38 22 0 20 Oct 2022
"Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts Haoran Zhang Harvineet Singh Marzyeh Ghassemi Shalmali Joshi 29 21 0 19 Oct 2022