Invariant Risk Minimization

5 July 2019

Papers citing "Invariant Risk Minimization"

50 / 1,404 papers shown

Title
Distribution Shift Inversion for Out-of-Distribution Prediction Runpeng Yu Songhua Liu Xingyi Yang Xinchao Wang OODD 20 18 0 14 Jun 2023
Graph Structure and Feature Extrapolation for Out-of-Distribution Generalization Xiner Li Shurui Gui Youzhi Luo Shuiwang Ji OODD OOD 30 10 0 13 Jun 2023
Explaining SAT Solving Using Causal Reasoning Jiong Yang Arijit Shaw Teodora Baluta Mate Soos Kuldeep S. Meel LRM 20 0 0 09 Jun 2023
Leveraging Large Language Models for Scalable Vector Graphics-Driven Image Understanding Mu Cai Zeyi Huang Yuheng Li Utkarsh Ojha Haohan Wang Yong Jae Lee VLM 22 2 0 09 Jun 2023
Adaptive Contextual Perception: How to Generalize to New Backgrounds and Ambiguous Objects Zhuofan Ying Peter Hase Joey Tianyi Zhou 34 1 0 09 Jun 2023
Federated Learning under Covariate Shifts with Generalization Guarantees Ali Ramezani-Kebrya Fanghui Liu Thomas Pethick Grigorios G. Chrysos V. Cevher FedML OOD 23 6 0 08 Jun 2023
Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization Jun-Gyu Park Dong-Jun Han Soyeong Kim Jaekyun Moon OOD TTA 20 12 0 08 Jun 2023
Coping with Change: Learning Invariant and Minimum Sufficient Representations for Fine-Grained Visual Categorization Shuo Ye Shujian Yu W. Hou Yu Wang Xinge You OOD 31 10 0 08 Jun 2023
Improving neural network representations using human similarity judgments Lukas Muttenthaler Lorenz Linhardt Jonas Dippel Robert A. Vandermeulen Katherine L. Hermann Andrew Kyle Lampinen Simon Kornblith 42 31 0 07 Jun 2023
Intervention Generalization: A View from Factor Graph Models Gecia Bravo Hermsdorff David S. Watson Jialin Yu Jakob Zeitler Ricardo M. A. Silva CML 33 4 0 06 Jun 2023
Worst-risk minimization in generalized structural equation models Philip Kennerberg Ernst C. Wit 24 0 0 06 Jun 2023
On Pitfalls of Test-Time Adaptation Hao Zhao Yuejiang Liu Alexandre Alahi Tao R. Lin TTA 34 40 0 06 Jun 2023
Explaining and Adapting Graph Conditional Shift Qi Zhu Yizhu Jiao Natalia Ponomareva Jiawei Han Bryan Perozzi OOD 13 10 0 05 Jun 2023
Learning under random distributional shifts Kirk Bansak E. Paulson Dominik Rothenhäusler OOD 16 4 0 05 Jun 2023
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization Y. Liu Chris Xing Tian Haoliang Li Lei Ma Shiqi Wang UQCV 31 19 0 05 Jun 2023
Do-GOOD: Towards Distribution Shift Evaluation for Pre-Trained Visual Document Understanding Models Jiabang He Yilang Hu Lei Wang Xingdong Xu Ning Liu Hui-juan Liu Hengtao Shen VLM OOD 24 2 0 05 Jun 2023
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization Yimeng Chen Tianyang Hu Fengwei Zhou Zhenguo Li Zhiming Ma 33 12 0 05 Jun 2023
Federated Domain Generalization: A Survey Ying Li Xingwei Wang Rongfei Zeng Praveen Kumar Donta Ilir Murturi Min Huang Schahram Dustdar OOD FedML AI4CE 45 29 0 02 Jun 2023
Federated Learning Games for Reconfigurable Intelligent Surfaces via Causal Representations Charbel Bou Chaaya S. Samarakoon M. Bennis OOD 27 0 0 02 Jun 2023
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization Shurui Gui Meng Liu Xiner Li Youzhi Luo Shuiwang Ji CML OOD 31 24 0 01 Jun 2023
Nonparametric Identifiability of Causal Representations from Unknown Interventions Julius von Kügelgen M. Besserve Wendong Liang Luigi Gresele Armin Kekić Elias Bareinboim David M. Blei Bernhard Schölkopf CML 18 56 0 01 Jun 2023
Survey of Trustworthy AI: A Meta Decision of AI Caesar Wu Yuan-Fang Li Pascal Bouvry 24 3 0 01 Jun 2023
An Invariant Learning Characterization of Controlled Text Generation Carolina Zheng Claudia Shi Keyon Vafa Amir Feder David M. Blei OOD 38 8 0 31 May 2023
Unveiling Cross Modality Bias in Visual Question Answering: A Causal View with Possible Worlds VQA A. Vosoughi Shijian Deng Songyang Zhang Yapeng Tian Chenliang Xu Jiebo Luo CML 53 3 0 31 May 2023
Contextual Vision Transformers for Robust Representation Learning Yu Bao Theofanis Karaletsos ViT 26 13 0 30 May 2023
What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL? Rui Yang Yong Lin Xiaoteng Ma Haotian Hu Chongjie Zhang Tong Zhang OffRL 29 22 0 30 May 2023
On Counterfactual Data Augmentation Under Confounding Abbavaram Gowtham Reddy Saketh Bachu Saloni Dash Charchit Sharma Amit Sharma V. Balasubramanian CML BDL 33 0 0 29 May 2023
HyperTime: Hyperparameter Optimization for Combating Temporal Distribution Shifts Shaokun Zhang Yiran Wu Zhonghua Zheng Qingyun Wu Chi Wang OOD 51 7 0 28 May 2023
CNN Feature Map Augmentation for Single-Source Domain Generalization Aristotelis Ballas Christos Diou OOD 27 3 0 26 May 2023
Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization Yunze Tong Junkun Yuan Min Zhang Di-hua Zhu Keli Zhang Fei Wu Kun Kuang 36 7 0 25 May 2023
IDEA: Invariant Defense for Graph Adversarial Robustness Shuchang Tao Qi Cao Huawei Shen Yunfan Wu Bingbing Xu Xueqi Cheng AAML OOD 38 7 0 25 May 2023
Rethinking the Evaluation Protocol of Domain Generalization Han Yu Xingxuan Zhang Renzhe Xu Jiashuo Liu Yue He Peng Cui OOD 35 7 0 24 May 2023
Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings Yihao Xue Ali Payani Yu Yang Baharan Mirzasoleiman VLM 26 4 0 23 May 2023
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future Linyi Yang Yangqiu Song Xuan Ren Chenyang Lyu Yidong Wang Lingqiao Liu Jindong Wang Jennifer Foster Yue Zhang OOD 37 2 0 23 May 2023
Parts of Speech-Grounded Subspaces in Vision-Language Models James Oldfield Christos Tzelepis Yannis Panagakis M. Nicolaou Ioannis Patras 24 9 0 23 May 2023
Causal Intervention for Abstractive Related Work Generation Jiachang Liu Qi Zhang Chongyang Shi Usman Naseem Shoujin Wang Ivor Tsang CML 41 6 0 23 May 2023
POEM: Polarization of Embeddings for Domain-Invariant Representations Sang-Yeong Jo Sung Whan Yoon 19 8 0 22 May 2023
Cross-functional Analysis of Generalisation in Behavioural Learning Pedro Henrique Luz de Araujo Benjamin Roth 29 3 0 22 May 2023
Conformal Inference for Invariant Risk Minimization Wenlu Tang Zicheng Liu 32 0 0 22 May 2023
Exploring and Exploiting Data Heterogeneity in Recommendation Zimu Wang Jiashuo Liu Hao Zou Xingxuan Zhang Yue He Dongxu Liang Peng Cui 39 2 0 21 May 2023
Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization Ting Wu Rui Zheng Tao Gui Qi Zhang Xuanjing Huang 51 2 0 20 May 2023
SFP: Spurious Feature-targeted Pruning for Out-of-Distribution Generalization Yingchun Wang Jingcai Guo Yi Liu Song Guo Weizhan Zhang Xiangyong Cao Qinghua Zheng AAML OODD 33 11 0 19 May 2023
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models Wenhao Ding Tong Che Ding Zhao Marco Pavone BDL OffRL 22 2 0 18 May 2023
Semantic Anomaly Detection with Large Language Models Amine Elhafsi Rohan Sinha Christopher Agia Edward Schmerling I. Nesnas Marco Pavone 37 65 0 18 May 2023
Progressive Translation: Improving Domain Robustness of Neural Machine Translation with Intermediate Sequences Chaojun Wang Yang Liu Wai Lam 39 2 0 16 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 28 4 0 13 May 2023
Consistency Regularization for Domain Generalization with Logit Attribution Matching Han Gao Kaican Li Weiyan Xie Zhi Lin Yongxiang Huang Luning Wang Caleb Chen Cao N. Zhang 13 2 0 13 May 2023
Towards Generalizable Reinforcement Learning for Trade Execution Chuheng Zhang Yitong Duan Xiaoyu Chen Jianyu Chen Jian Li L. Zhao OffRL 17 7 0 12 May 2023
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources Suraj Rajendran Weishen Pan M. Sabuncu Yong Chen Jiayu Zhou Fei Wang 57 14 0 10 May 2023
Multiverse at the Edge: Interacting Real World and Digital Twins for Wireless Beamforming Batool Salehi Utku Demir Debashri Roy Suyasha Pradhan Jennifer Dy Stratis Ioannidis Kaushik R. Chowdhury 23 10 0 10 May 2023