Invariant Risk Minimization

5 July 2019

Papers citing "Invariant Risk Minimization"

50 / 1,407 papers shown

Title
SmOOD: Smoothness-based Out-of-Distribution Detection Approach for Surrogate Neural Networks in Aircraft Design Houssem Ben Braiek Ali Tfaily Foutse Khomh Thomas Reid Ciro Guida 27 0 0 07 Sep 2022
Improving Self-supervised Learning for Out-of-distribution Task via Auxiliary Classifier Harshita Boonlia T. Dam Md Meftahul Ferdaus S. Anavatti Ankan Mullick OODD 16 4 0 07 Sep 2022
Generalization in Neural Networks: A Broad Survey Chris Rohlfs OOD AI4CE 21 6 0 04 Sep 2022
Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation Systems Mao Ye Ruichen Jiang Haoxiang Wang Dhruv Choudhary Xiaocong Du Bhargav Bhushanam Aryan Mokhtari A. Kejariwal Qiang Liu TTA OOD AI4TS 45 8 0 02 Sep 2022
Back-to-Bones: Rediscovering the Role of Backbones in Domain Generalization Simone Angarano Mauro Martini Francesco Salvetti Vittorio Mazzia Marcello Chiaberge OOD 39 12 0 02 Sep 2022
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets Damien Teney Yong Lin Seong Joon Oh Ehsan Abbasnejad OOD 391 47 0 01 Sep 2022
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution Wang Lu Jindong Wang Yidong Wang Xingxu Xie OOD 37 5 0 01 Sep 2022
OOD-Probe: A Neural Interpretation of Out-of-Domain Generalization Zining Zhu Soroosh Shahtalebi Frank Rudzicz 30 4 0 25 Aug 2022
Shortcut Learning of Large Language Models in Natural Language Understanding Mengnan Du Fengxiang He Na Zou Dacheng Tao Xia Hu KELM OffRL 47 84 0 25 Aug 2022
The Value of Out-of-Distribution Data Ashwin De Silva Rahul Ramesh Carey E. Priebe Pratik Chaudhari Joshua T. Vogelstein OODD 42 11 0 23 Aug 2022
Bag of Tricks for Out-of-Distribution Generalization Zining Chen Weiqiu Wang Zhaohui Hou Aidong Men Hong Chen 37 2 0 23 Aug 2022
Meta-Causal Feature Learning for Out-of-Distribution Generalization Yuqing Wang Xiangxian Li Zhuang Qi Jingyu Li Xuelong Li Xiangxu Meng Lei Meng OOD OODD BDL 42 25 0 22 Aug 2022
Learning Invariant Representations under General Interventions on the Response Kang Du Yu Xiang OOD 26 8 0 22 Aug 2022
Artifact-Based Domain Generalization of Skin Lesion Models Alceu Bissoto Catarina Barata Eduardo Valle Sandra Avila MedIm AI4CE 46 13 0 20 Aug 2022
Fuse and Attend: Generalized Embedding Learning for Art and Sketches U. Dutta 35 0 0 20 Aug 2022
A Novel Plug-and-Play Approach for Adversarially Robust Generalization Deepak Maurya Adarsh Barik Jean Honorio OOD AAML 46 0 0 19 Aug 2022
Background Invariance Testing According to Semantic Proximity Zukang Liao Pengfei Zhang Min Chen 16 0 0 19 Aug 2022
DAFT: Distilling Adversarially Fine-tuned Models for Better OOD Generalization Anshul Nasery Sravanti Addepalli Praneeth Netrapalli Prateek Jain OOD FedML 50 1 0 19 Aug 2022
Prompt Vision Transformer for Domain Generalization Zangwei Zheng Xiangyu Yue Kai Wang Yang You VLM VPVLM MDE 32 51 0 18 Aug 2022
Discovering Bugs in Vision Models using Off-the-shelf Image Generation and Captioning Olivia Wiles Isabela Albuquerque Sven Gowal VLM 43 47 0 18 Aug 2022
Domain-Specific Risk Minimization for Out-of-Distribution Generalization Yi-Fan Zhang Jindong Wang Jian Liang Zhang Zhang Baosheng Yu Liangdao Wang Dacheng Tao Xingxu Xie OOD 26 16 0 18 Aug 2022
Robust Causal Graph Representation Learning against Confounding Effects Hang Gao Jiangmeng Li Jingyao Wang Hui Xiong Bing Xu Changwen Zheng Gang Hua OOD CML 30 16 0 18 Aug 2022
Counterfactual Supervision-based Information Bottleneck for Out-of-Distribution Generalization Bin Deng Kui Jia OOD 30 1 0 16 Aug 2022
The Causal Structure of Domain Invariant Supervised Representation Learning Zihao Wang Victor Veitch CML OOD 21 3 0 15 Aug 2022
Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP Thao Nguyen Gabriel Ilharco Mitchell Wortsman Sewoong Oh Ludwig Schmidt CLIP VLM 55 99 0 10 Aug 2022
Semantic Self-adaptation: Enhancing Generalization with a Single Sample Sherwin Bahmani Oliver Hahn Eduard Zamfir Nikita Araslanov Daniel Cremers Stefan Roth OOD TTA VLM 52 6 0 10 Aug 2022
Learning Modular Structures That Generalize Out-of-Distribution Arjun Ashok Chaitanya Devaguptapu V. Balasubramanian OOD 27 1 0 07 Aug 2022
Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generalization Jiaxin Qi Kaihua Tang Qianru Sun Xiansheng Hua Hanwang Zhang 24 12 0 06 Aug 2022
CFARnet: deep learning for target detection with constant false alarm rate Tzvi Diskin Yiftach Beer Uri Okun A. Wiesel 40 9 0 04 Aug 2022
RealPatch: A Statistical Matching Framework for Model Patching with Real Samples Sara Romiti C. Inskip V. Sharmanska Novi Quadrianto 25 2 0 03 Aug 2022
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift Yivan Zhang Jindong Wang Xingxu Xie Masashi Sugiyama OOD 44 1 0 03 Aug 2022
Adaptive Domain Generalization via Online Disagreement Minimization X. Zhang Ying-Cong Chen OOD 27 5 0 03 Aug 2022
The Power and Limitation of Pretraining-Finetuning for Linear Regression under Covariate Shift Jingfeng Wu Difan Zou Vladimir Braverman Quanquan Gu Sham Kakade 22 16 0 03 Aug 2022
Joint covariate-alignment and concept-alignment: a framework for domain generalization Thuan Q. Nguyen Boyang Lyu Prakash Ishwar matthias. scheutz Shuchin Aeron OOD 29 4 0 01 Aug 2022
Diversity Boosted Learning for Domain Generalization with Large Number of Domains Xinlin Leng Xiaoying Tang Yatao Bian AI4CE OOD 19 0 0 28 Jul 2022
Multi-layer Representation Learning for Robust OOD Image Classification Aristotelis Ballas Christos Diou 17 5 0 27 Jul 2022
Identifying Hard Noise in Long-Tailed Sample Distribution Xuanyu Yi Kaihua Tang Xiansheng Hua J. Lim Hanwang Zhang 24 23 0 27 Jul 2022
Unsupervised Learning under Latent Label Shift Manley Roberts P. Mani Saurabh Garg Zachary Chase Lipton OOD 57 9 0 26 Jul 2022
Repeated Environment Inference for Invariant Learning Aayush Mishra Anqi Liu BDL OOD 32 0 0 26 Jul 2022
Equivariant and Invariant Grounding for Video Question Answering Yicong Li Xiang Wang Junbin Xiao Tat-Seng Chua 31 25 0 26 Jul 2022
Self-Distilled Vision Transformer for Domain Generalization M. Sultana Muzammal Naseer Muhammad Haris Khan Salman Khan Fahad Shahbaz Khan ViT 16 29 0 25 Jul 2022
Equivariance and Invariance Inductive Bias for Learning from Insufficient Data Tan Wang Qianru Sun Sugiri Pranata J. Karlekar Hanwang Zhang SSL 39 19 0 25 Jul 2022
An Impartial Take to the CNN vs Transformer Robustness Contest Francesco Pinto Philip Torr P. Dokania UQCV AAML 33 49 0 22 Jul 2022
Discrete Key-Value Bottleneck Frederik Trauble Anirudh Goyal Nasim Rahaman Michael C. Mozer Kenji Kawaguchi Yoshua Bengio Bernhard Schölkopf CLL 31 22 0 22 Jul 2022
Grounding Visual Representations with Texts for Domain Generalization Seonwoo Min Nokyung Park Siwon Kim Seunghyun Park Jinkyu Kim OOD 14 34 0 21 Jul 2022
Discover and Mitigate Unknown Biases with Debiasing Alternate Networks Zhiheng Li A. Hoogs Chenliang Xu 32 53 0 20 Jul 2022
Measuring and signing fairness as performance under multiple stakeholder distributions David Lopez-Paz Diane Bouchacourt Levent Sagun Nicolas Usunier 29 7 0 20 Jul 2022
Probable Domain Generalization via Quantile Risk Minimization Cian Eastwood Alexander Robey Shashank Singh Julius von Kügelgen Hamed Hassani George J. Pappas Bernhard Schölkopf OOD 35 63 0 20 Jul 2022
Learning Counterfactually Invariant Predictors Francesco Quinzan Cecilia Casolo Krikamol Muandet Yucen Luo Niki Kilbertus 41 8 0 20 Jul 2022
Test-Time Adaptation via Conjugate Pseudo-labels Sachin Goyal Mingjie Sun Aditi Raghunathan Zico Kolter OOD 22 97 0 20 Jul 2022