Invariant Risk Minimization

5 July 2019

Papers citing "Invariant Risk Minimization"

50 / 1,406 papers shown

Title
Domain Generalization Emerges from Dreaming Hwan Heo Youngjin Oh Jaewon Lee Hyunwoo J. Kim 21 2 0 02 Feb 2023
Free Lunch for Domain Adversarial Training: Environment Label Smoothing Yifan Zhang Xue Wang Jian Liang Zhang Zhang Liangsheng Wang Rong Jin Tien-Ping Tan 54 40 0 01 Feb 2023
Fairness and Accuracy under Domain Generalization Thai-Hoang Pham Xueru Zhang Ping Zhang 32 21 0 30 Jan 2023
Overcoming Simplicity Bias in Deep Networks using a Feature Sieve Rishabh Tiwari Pradeep Shenoy 35 20 0 30 Jan 2023
Benchmarking Robustness to Adversarial Image Obfuscations Florian Stimberg Ayan Chakrabarti Chun-Ta Lu Hussein Hazimeh Otilia Stretcu ... Merve Kaya Cyrus Rashtchian Ariel Fuxman Mehmet Tek Sven Gowal AAML 37 10 0 30 Jan 2023
Robust Meta Learning for Image based tasks Peng-Tao Jiang Xin Ke Zifeng Wang Chunxi Li OOD UQCV VLM 66 0 0 30 Jan 2023
Adversarial Style Augmentation for Domain Generalization Yabin Zhang Bin Deng Ruihuang Li Kui Jia Lei Zhang AAML OOD 23 14 0 30 Jan 2023
Learning Optimal Features via Partial Invariance Moulik Choraria Ibtihal Ferwana Ankur Mani Lav Varshney OOD 28 2 0 28 Jan 2023
Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge S. Bouabid Jake Fawkes Dino Sejdinovic CML 49 0 0 26 Jan 2023
Designing Data: Proactive Data Collection and Iteration for Machine Learning Aspen K. Hopkins Fred Hohman Luca Zappella Xavier Suau Cuadros Dominik Moritz 25 6 0 24 Jan 2023
Model Agnostic Sample Reweighting for Out-of-Distribution Learning Xiao Zhou Yong Lin Renjie Pi Weizhong Zhang Renzhe Xu Peng Cui Tong Zhang OODD 44 61 0 24 Jan 2023
Causality-based Dual-Contrastive Learning Framework for Domain Generalization Zining Chen Weiqiu Wang Zhaohui Hou Aidong Men OOD 41 1 0 22 Jan 2023
ManyDG: Many-domain Generalization for Healthcare Applications Chaoqi Yang M. P. M. Brandon Westover Jimeng Sun OOD CML 19 19 0 21 Jan 2023
Introducing Expertise Logic into Graph Representation Learning from A Causal Perspective Hang Gao Jiangmeng Li Jingyao Wang Hui Xiong Xingzhe Su Feng Wu Changwen Zheng Gang Hua 42 0 0 20 Jan 2023
Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment Qiuhao Zeng Wei Wang Fan Zhou Charles Ling Boyu Wang OOD ViT 35 16 0 19 Jan 2023
Vision Based Machine Learning Algorithms for Out-of-Distribution Generalisation Hamza Riaz Alan F. Smeaton OOD 31 2 0 17 Jan 2023
Generalized Invariant Matching Property via LASSO Kang Du Yu Xiang OOD 39 6 0 14 Jan 2023
RxRx1: A Dataset for Evaluating Experimental Batch Correction Methods Maciej Sypetkowski Morteza Rezanejad Saber Saberian Oren Z. Kraus John Urbanik ... Mason L. Victors J. Yosinski A. R. Sereshkeh I. Haque Berton Earnshaw 36 37 0 13 Jan 2023
Look Beyond Bias with Entropic Adversarial Data Augmentation Thomas Duboudin Emmanuel Dellandrea Corentin Abgrall Gilles Hénaff Liming Chen CML 35 4 0 10 Jan 2023
Subset verification and search algorithms for causal DAGs Davin Choo Kirankumar Shiragur CML 19 10 0 09 Jan 2023
On the causality-preservation capabilities of generative modelling Yves-Cédric Bauwelinckx Jan Dhaene Tim Verdonck Milan van den Heuvel CML AI4CE 38 0 0 03 Jan 2023
On Finding Small Hyper-Gradients in Bilevel Optimization: Hardness Results and Improved Analysis Le‐Yu Chen Jing Xu Jiaming Zhang 39 11 0 02 Jan 2023
A System-Level View on Out-of-Distribution Data in Robotics Rohan Sinha Apoorva Sharma Somrita Banerjee T. Lew Rachel Luo Spencer M. Richards Yixiao Sun Edward Schmerling Marco Pavone UQCV 50 23 0 28 Dec 2022
Target Conditioned Representation Independence (TCRI); From Domain-Invariant to Domain-General Representations Olawale Salaudeen Oluwasanmi Koyejo 32 2 0 21 Dec 2022
Adapting to Latent Subgroup Shifts via Concepts and Proxies Ibrahim M. Alabdulmohsin Nicole Chiou Alexander DÁmour Arthur Gretton Sanmi Koyejo Matt J. Kusner Stephen R. Pfohl Olawale Salaudeen Jessica Schrouff Katherine Tsai 68 9 0 21 Dec 2022
Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators Jianhao Yuan Francesco Pinto Adam Davies Philip Torr DiffM 29 12 0 21 Dec 2022
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization Alexandre Ramé Kartik Ahuja Jianyu Zhang Matthieu Cord Léon Bottou David Lopez-Paz MoMe OODD 42 82 0 20 Dec 2022
Exploring Optimal Substructure for Out-of-distribution Generalization via Feature-targeted Model Pruning Yingchun Wang Jingcai Guo Song Guo Weizhan Zhang Jiewei Zhang OODD 37 16 0 19 Dec 2022
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization Shiji Xin Yifei Wang Jingtong Su Yisen Wang OOD 23 7 0 18 Dec 2022
Better May Not Be Fairer: A Study on Subgroup Discrepancy in Image Classification Ming-Chang Chiu Pin-Yu Chen Xuezhe Ma 36 6 0 16 Dec 2022
Dissecting Distribution Inference Anshuman Suri Yifu Lu Yanjin Chen David Evans 30 14 0 15 Dec 2022
Learning useful representations for shifting tasks and distributions Jianyu Zhang Léon Bottou OOD 34 13 0 14 Dec 2022
Domain Generalization by Learning and Removing Domain-specific Features Yuzhu Ding Lei Wang Binxin Liang Shuming Liang Yang Wang Fangxiao Chen OOD 30 41 0 14 Dec 2022
Improving group robustness under noisy labels using predictive uncertainty Dongpin Oh Dae Lee Jeunghyun Byun Bonggun Shin UQCV 25 3 0 14 Dec 2022
You Only Need a Good Embeddings Extractor to Fix Spurious Correlations Raghav Mehta Vítor Albiero Li Chen Ivan Evtimov Tamar Glaser Zhiheng Li Tal Hassner 31 17 0 12 Dec 2022
Instance-Conditional Timescales of Decay for Non-Stationary Learning Nishant Jain Pradeep Shenoy 35 3 0 12 Dec 2022
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others Zhiheng Li Ivan Evtimov Albert Gordo C. Hazirbas Tal Hassner Cristian Canton Ferrer Chenliang Xu Mark Ibrahim 41 72 0 09 Dec 2022
Deep Learning of Causal Structures in High Dimensions Kai Lagemann C. Lagemann B. Taschler S. Mukherjee CML BDL AI4CE 30 29 0 09 Dec 2022
An Empirical Study on Multi-Domain Robust Semantic Segmentation Yajie Liu Pu Ge Qingjie Liu Shichao Fan Yunhong Wang 21 2 0 08 Dec 2022
Learning Domain Invariant Prompt for Vision-Language Models Cairong Zhao Yubin Wang Xinyang Jiang Yifei Shen Kaitao Song Dongsheng Li Duoqian Miao VLM VPVLM 19 23 0 08 Dec 2022
PØDA: Prompt-driven Zero-shot Domain Adaptation Mohammad Fahes Tuan-Hung Vu Andrei Bursuc Patrick Pérez Raoul de Charette VLM 40 47 0 06 Dec 2022
Causal Inference via Style Transfer for Out-of-distribution Generalisation Toan Nguyen Kien Do D. Nguyen Bao Duong T. Nguyen CML OODD OOD 33 10 0 06 Dec 2022
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases Mazda Moayeri Wenxiao Wang Sahil Singla S. Feizi 71 14 0 05 Dec 2022
Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling J. Nam Sangwoo Mo Jaeho Lee Jinwoo Shin 29 7 0 05 Dec 2022
Avoiding spurious correlations via logit correction Sheng Liu Xu Zhang Nitesh Sekhar Yue Wu Prateek Singhal C. Fernandez‐Granda 30 29 0 02 Dec 2022
Stable Learning via Sparse Variable Independence Han Yu Peng Cui Yue He Zheyan Shen Yong Lin Renzhe Xu Xingxuan Zhang OOD 40 13 0 02 Dec 2022
PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization Prithvijit Chattopadhyay Kartik Sarangmath Vivek Vijaykumar Judy Hoffman 49 26 0 02 Dec 2022
AGRO: Adversarial Discovery of Error-prone groups for Robust Optimization Bhargavi Paranjape Pradeep Dasigi Vivek Srikumar Luke Zettlemoyer Hannaneh Hajishirzi 36 7 0 02 Dec 2022
When Neural Networks Fail to Generalize? A Model Sensitivity Perspective Jiajin Zhang Hanqing Chao Amit Dhurandhar Pin-Yu Chen A. Tajer Yangyang Xu Pingkun Yan OOD AAML 11 14 0 01 Dec 2022
Encoder-Decoder Model for Suffix Prediction in Predictive Monitoring Efrén Rama-Maneiro Pablo Monteagudo-Lago J. Vidal Manuel Lama 35 1 0 29 Nov 2022