Invariant Risk Minimization

5 July 2019

Papers citing "Invariant Risk Minimization"

50 / 1,404 papers shown

Title
From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication Irene Cannistraci Luca Moschella Marco Fumero Valentino Maiorca Emanuele Rodolà 43 12 0 02 Oct 2023
Unified Uncertainty Calibration Kamalika Chaudhuri David Lopez-Paz 24 0 0 02 Oct 2023
R-divergence for Estimating Model-oriented Distribution Discrepancy Zhilin Zhao Longbing Cao 62 1 0 02 Oct 2023
Feedback-guided Data Synthesis for Imbalanced Classification Reyhane Askari Hemmat Mohammad Pezeshki Florian Bordes M. Drozdzal Adriana Romero Soriano SyDa 17 19 0 29 Sep 2023
Spurious Feature Diversification Improves Out-of-distribution Generalization Yong Lin Lu Tan Yifan Hao Honam Wong Hanze Dong Weizhong Zhang Yujiu Yang Tong Zhang OODD 30 24 0 29 Sep 2023
Discovering environments with XRM Mohammad Pezeshki Diane Bouchacourt Mark Ibrahim Jimuyang Zhang Pascal Vincent David Lopez-Paz 49 18 0 28 Sep 2023
Rethinking Domain Generalization: Discriminability and Generalizability Shaocong Long Qianyu Zhou Chenhao Ying Lizhuang Ma Yuan Luo OOD AI4CE 28 12 0 28 Sep 2023
Diverse Target and Contribution Scheduling for Domain Generalization Shaocong Long Qianyu Zhou Soham Dan Lizhuang Ma Yuan Luo 62 8 0 28 Sep 2023
Large Language Model Routing with Benchmark Datasets Tal Shnitzer Anthony Ou Mírian Silva Kate Soule Yuekai Sun Justin Solomon Neil Thompson Mikhail Yurochkin RALM 16 56 0 27 Sep 2023
CauDR: A Causality-inspired Domain Generalization Framework for Fundus-based Diabetic Retinopathy Grading Hao Wei Peilun Shi Juzheng Miao Minqing Zhang Guitao Bai Jianing Qiu Furui Liu Wu Yuan MedIm OOD 20 3 0 27 Sep 2023
Learning to Abstain From Uninformative Data Yikai Zhang Songzhu Zheng M. Dalirrooyfard Pengxiang Wu Anderson Schneider Anant Raj Yuriy Nevmyvaka Chao Chen 26 2 0 25 Sep 2023
Multivariate Prototype Representation for Domain-Generalized Incremental Learning Can Peng Piotr Koniusz Kai Guo Brian C. Lovell Peyman Moghadam CLL OOD 29 2 0 24 Sep 2023
D-Separation for Causal Self-Explanation Wei Liu Jun Wang Yining Qi Rui Li Zhiying Deng YuanKai Zhang Yang Qiu 82 14 0 23 Sep 2023
Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head Alan Q. Wang Minh Nguyen M. Sabuncu CML OOD 34 1 0 23 Sep 2023
COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text Pairs Tiep Le Vasudev Lal Phillip Howard DiffM 34 21 0 23 Sep 2023
Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation Zhongqi Yue Hanwang Zhang Qianru Sun OOD 39 16 0 22 Sep 2023
Invariant Learning via Probability of Sufficient and Necessary Causes Girish A. Koushik Zhen Fang Yonggang Zhang Yali Du Furui Liu Jean-François Ton Jianhong Wang Jun Wang OODD 43 13 0 22 Sep 2023
Environment-biased Feature Ranking for Novelty Detection Robustness Stefan Smeu Elena Burceanu Emanuela Haller Andrei Liviu Nicolicioiu OOD 39 0 0 21 Sep 2023
Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms Keru Wu Yuansi Chen Wooseok Ha Ting Yu CML 26 2 0 19 Sep 2023
Towards Effective Semantic OOD Detection in Unseen Domains: A Domain Generalization Perspective Haoliang Wang Chen Zhao Yunhui Guo Kai Jiang Feng Chen 35 3 0 18 Sep 2023
Invariant Probabilistic Prediction Alexander Henzi Xinwei Shen Michael Law Peter Buhlmann OOD 43 0 0 18 Sep 2023
Context is Environment Sharut Gupta Stefanie Jegelka David Lopez-Paz Kartik Ahuja 35 0 0 18 Sep 2023
Multi-dimensional domain generalization with low-rank structures Sai Li Linjun Zhang 36 2 0 18 Sep 2023
Distributionally Robust Post-hoc Classifiers under Prior Shifts Jiaheng Wei Harikrishna Narasimhan Ehsan Amid Wenjun Chu Yang Liu Abhishek Kumar OOD 50 16 0 16 Sep 2023
Towards Last-layer Retraining for Group Robustness with Fewer Annotations Tyler LaBonte Vidya Muthukumar Abhishek Kumar 38 36 0 15 Sep 2023
Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges Fei Dou Jin Ye Geng Yuan Qin Lu Wei Niu ... Hongyue Sun Yunli Shao Changying Li Tianming Liu Wenzhan Song AI4CE 37 29 0 14 Sep 2023
Bias Amplification Enhances Minority Group Performance Gaotang Li Jiarui Liu Wei Hu 28 5 0 13 Sep 2023
Exploring Flat Minima for Domain Generalization with Large Learning Rates Jian Zhang Lei Qi Yinghuan Shi Yang Gao 41 2 0 12 Sep 2023
Towards Reliable Domain Generalization: A New Dataset and Evaluations Jiao Zhang Xu-Yao Zhang Cheng-Lin Liu OOD 34 0 0 12 Sep 2023
Zero-Shot Robustification of Zero-Shot Models Dyah Adila Changho Shin Lin Cai Frederic Sala 43 19 0 08 Sep 2023
INSURE: An Information Theory Inspired Disentanglement and Purification Model for Domain Generalization Xi Yu Huan-Hsin Tseng Shinjae Yoo Haibin Ling Yuewei Lin OOD 29 10 0 08 Sep 2023
Domain Generalization without Excess Empirical Risk Ozan Sener V. Koltun 18 8 0 30 Aug 2023
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration Ran Liu Sahil Khose Jingyun Xiao Lakshmi Sathidevi Keerthan Ramnath Z. Kira Eva L. Dyer 34 3 0 28 Aug 2023
Don't blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy A. Puli Lily H. Zhang Yoav Wald Rajesh Ranganath 21 19 0 24 Aug 2023
Understanding Hessian Alignment for Domain Generalization S. Hemati Guojun Zhang A. Estiri Xi Chen 25 10 0 22 Aug 2023
Domain Generalization via Rationale Invariance Liang Chen Yong Zhang Yibing Song Anton Van Den Hengel Lingqiao Liu OOD 21 12 0 22 Aug 2023
Spurious Correlations and Where to Find Them Gautam Sreekumar Vishnu Naresh Boddeti CML 22 3 0 21 Aug 2023
DOMINO++: Domain-aware Loss Regularization for Deep Learning Generalizability Skylar E. Stolte Kyle Volle A. Indahlastari Alejandro Albizu A. Woods Kevin Brink Matthew Hale R. Fang 22 2 0 21 Aug 2023
ASPIRE: Language-Guided Data Augmentation for Improving Robustness Against Spurious Correlations Sreyan Ghosh Chandra Kiran Reddy Evuru Sonal Kumar Utkarsh Tyagi Sakshi Singh Sanjoy Chowdhury Dinesh Manocha OOD 30 1 0 19 Aug 2023
Invariant Training 2D-3D Joint Hard Samples for Few-Shot Point Cloud Recognition Xuanyu Yi Jiajun Deng Qianru Sun Xiansheng Hua J. Lim Hanwang Zhang 3DPC 18 14 0 18 Aug 2023
Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization Xiran Wang Jian Zhang Lei Qi Yinghuan Shi 27 19 0 18 Aug 2023
Regularizing Adversarial Imitation Learning Using Causal Invariance Ivan Ovinnikov J. M. Buhmann CML 25 0 0 17 Aug 2023
Environment Diversification with Multi-head Neural Network for Invariant Learning Bo-Wei Huang Keng-Te Liao Chang-Sheng Kao Shou-De Lin OOD 29 4 0 17 Aug 2023
Graph Out-of-Distribution Generalization with Controllable Data Augmentation Bin Lu Xiaoying Gan Ze Zhao Shiyu Liang Luoyi Fu Xinbing Wang Cheng Zhou 27 6 0 16 Aug 2023
ADRMX: Additive Disentanglement of Domain Features with Remix Loss Berker Demirel E. Aptoula Huseyin Ozkan 20 1 0 12 Aug 2023
BEV-DG: Cross-Modal Learning under Bird's-Eye View for Domain Generalization of 3D Semantic Segmentation Miaoyu Li Yachao Zhang Xu Ma Yanyun Qu Yun Fu 30 11 0 12 Aug 2023
Pareto Invariant Representation Learning for Multimedia Recommendation Shanshan Huang Haoxuan Li Qingsong Li Chunyuan Zheng Li Liu CML 27 11 0 09 Aug 2023
PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning Florian Bordes Shashank Shekhar Mark Ibrahim Diane Bouchacourt Pascal Vincent Ari S. Morcos 36 26 0 08 Aug 2023
Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph Generation Yu Min Aming Wu Cheng Deng 30 6 0 07 Aug 2023
Frustratingly Easy Model Generalization by Dummy Risk Minimization Juncheng Wang Jindong Wang Xixu Hu Shujun Wang Xingxu Xie 16 1 0 04 Aug 2023