Invariant Risk Minimization

5 July 2019

Papers citing "Invariant Risk Minimization"

50 / 1,404 papers shown

Title
DICS: Find Domain-Invariant and Class-Specific Features for Out-of-Distribution Generalization Qiaowei Miao Yawei Luo Yi Yang OOD OODD 34 1 0 13 Sep 2024
Learning Causally Invariant Reward Functions from Diverse Demonstrations Ivan Ovinnikov Eugene Bykovets J. M. Buhmann CML 33 0 0 12 Sep 2024
Control+Shift: Generating Controllable Distribution Shifts Roy Friedman Rhea Chowers 49 0 0 12 Sep 2024
Alignment of Diffusion Models: Fundamentals, Challenges, and Future Buhua Liu Shitong Shao Bao Li Lichen Bai Zhiqiang Xu Haoyi Xiong James Kwok Sumi Helal Zeke Xie 42 12 0 11 Sep 2024
Prediction Accuracy & Reliability: Classification and Object Localization under Distribution Shift Fabian Diet Moussa Kassem Sbeyti Michelle Karg 41 0 0 05 Sep 2024
Learning in Order! A Sequential Strategy to Learn Invariant Features for Multimodal Sentiment Analysis Xianbing Zhao Lizhen Qu Tao Feng Jianfei Cai Buzhou Tang 50 0 0 05 Sep 2024
Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization Nayeong Kim Juwon Kang Sungsoo Ahn Jungseul Ok Suha Kwak 29 0 0 05 Sep 2024
UnLearning from Experience to Avoid Spurious Correlations Jeff Mitchell Jesús Martínez del Rincón Niall McLaughlin 36 0 0 04 Sep 2024
Seeking the Sufficiency and Necessity Causal Features in Multimodal Representation Learning Boyu Chen Junjie Liu Zhu Li Mengyue yang 35 1 0 29 Aug 2024
Certified Causal Defense with Generalizable Robustness Yiran Qiao Yu Yin Chen Chen Jing Ma AAML OOD CML 52 0 0 28 Aug 2024
Improving Adversarial Robustness in Android Malware Detection by Reducing the Impact of Spurious Correlations Hamid Bostani Zhengyu Zhao Veelasha Moonsamy AAML 31 0 0 27 Aug 2024
NeuralOOD: Improving Out-of-Distribution Generalization Performance with Brain-machine Fusion Learning Framework Shuangchen Zhao Changde Du Hui Li Huiguang He 45 0 0 27 Aug 2024
Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule Xuan Zhao Klaus Broelemann Salvatore Ruggieri Gjergji Kasneci 31 0 0 26 Aug 2024
Causal machine learning for sustainable agroecosystems Vasileios Sitokonstantinou Emiliano Díaz Salas Porras Jordi Cerda Bautista M. Piles Ioannis Athanasiadis ... Giulia Martini Lily-belle Sweet Ilias Tsoumas Jakob Zscheischler Gustau Camps-Valls 40 1 0 23 Aug 2024
Learning Randomized Algorithms with Transformers J. Oswald Seijin Kobayashi Yassir Akram Angelika Steger AAML 42 0 0 20 Aug 2024
Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously Dong Li Chen Zhao Minglai Shao Wenjun Wang OOD FaML 32 2 0 18 Aug 2024
Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts Jinluan Yang Zhengyu Chen Teng Xiao Wenqiao Zhang Yong Lin Kun Kuang 53 1 0 18 Aug 2024
Out-of-distribution materials property prediction using adversarial learning based fine-tuning Qinyang Li Nicholas Miklaucic Jianjun Hu OODD AAML 18 0 0 17 Aug 2024
On the KL-Divergence-based Robust Satisficing Model Haojie Yan Minglong Zhou Jiayi Guo 31 0 0 17 Aug 2024
Out-of-Distribution Learning with Human Feedback Haoyue Bai Xuefeng Du Katie Rainey Shibin Parameswaran Yixuan Li OODD 26 3 0 14 Aug 2024
Generalized Encouragement-Based Instrumental Variables for Counterfactual Regression Anpeng Wu Kun Kuang Ruoxuan Xiong Xiangwei Chen Zexu Sun Fei Wu Kun Zhang CML 27 0 0 10 Aug 2024
Model Debiasing by Learnable Data Augmentation Pietro Morerio R. Ragonesi Vittorio Murino 43 0 0 09 Aug 2024
DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generalization Xin Sun Liang Wang Qiang Liu Shu Wu Zilei Wang Liang Wang OOD CML 38 5 0 08 Aug 2024
Fairness and Bias Mitigation in Computer Vision: A Survey Sepehr Dehdashtian Ruozhen He Yi Li Guha Balakrishnan Nuno Vasconcelos Vicente Ordonez Vishnu Naresh Boddeti 37 4 0 05 Aug 2024
Domain penalisation for improved Out-of-Distribution Generalisation Shuvam Jena Sushmetha Sumathi Rajendran Karthik Seemakurthy A. Sasithradevi M. Vijayalakshmi Prakash Poornachari 34 0 0 03 Aug 2024
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization Wenyu Mao Jiancan Wu Haoyang Liu Yongduo Sui Xiang Wang OOD 39 2 0 03 Aug 2024
LADDER: Language Driven Slice Discovery and Error Rectification Shantanu Ghosh Rayan Syed Chenyu Wang Clare B. Poynton Kayhan Batmanghelich 39 0 0 31 Jul 2024
Space-scale Exploration of the Poor Reliability of Deep Learning Models: the Case of the Remote Sensing of Rooftop Photovoltaic Systems Gabriel Kasmi L. Dubus Yves-Marie Saint Drenan Philippe Blanc 40 0 0 31 Jul 2024
Model Attribution in LLM-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning Alimohammad Beigi Zhen Tan Nivedh Mudiam Canyu Chen Kai Shu Huan Liu DeLMO 34 2 0 31 Jul 2024
Reducing Spurious Correlation for Federated Domain Generalization Shuran Ma Weiying Xie Daixun Li Haowei Li Yunsong Li OOD FedML 54 1 0 27 Jul 2024
A Survey on Cell Nuclei Instance Segmentation and Classification: Leveraging Context and Attention João D. Nunes D. Montezuma Domingos Oliveira Tania Pereira Jaime S. Cardoso 49 1 0 26 Jul 2024
Weighted Risk Invariance: Domain Generalization under Invariant Feature Shift Gina Wong Joshua Gleason Ramalingam Chellappa Yoav Wald Anqi Liu OOD 43 0 0 25 Jul 2024
LCA-on-the-Line: Benchmarking Out-of-Distribution Generalization with Class Taxonomies Jia Shi Gautam Gare Jinjin Tian Siqi Chai Zhiqiu Lin Arun Vasudevan Di Feng Francesco Ferroni Shu Kong VLM OODD OOD 52 3 0 22 Jul 2024
Unifying Invariant and Variant Features for Graph Out-of-Distribution via Probability of Necessity and Sufficiency Xuexin Chen Ruichu Cai Kaitao Zheng Zhifan Jiang Zhengting Huang Zhifeng Hao Zijian Li 54 0 0 21 Jul 2024
Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization Jiajun Hu Jian Zhang Lei Qi Yinghuan Shi Yang Gao OOD 38 4 0 21 Jul 2024
CycleMix: Mixing Source Domains for Domain Generalization in Style-Dependent Data Aristotelis Ballas Christos Diou OOD 38 0 0 18 Jul 2024
Antibody DomainBed: Out-of-Distribution Generalization in Therapeutic Protein Design Natavsa Tagasovska Ji Won Park Matthieu Kirchmeyer Nathan C. Frey Andrew Watkins ... Arian R. Jamasb Edith Lee Tyler Bryson Stephen Ra Kyunghyun Cho OOD 36 6 0 15 Jul 2024
Improving Graph Out-of-distribution Generalization on Real-world Data Can Xu Yao Cheng Jianxiang Yu Haosen Wang Jingsong Lv Xiang Li OOD 34 0 0 14 Jul 2024
Empowering Graph Invariance Learning with Deep Spurious Infomax Tianjun Yao Yongqiang Chen Zhenhao Chen Kai Hu Zhiqiang Shen Anton van den Hengel OOD 39 6 0 13 Jul 2024
Seq-to-Final: A Benchmark for Tuning from Sequential Distributions to a Final Time Point Christina X. Ji Ahmed M. Alaa David Sontag OOD 47 0 0 12 Jul 2024
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification Yu Tian Congcong Wen Min Shi Muhammad Muneeb Afzal Hao Huang Muhammad Osama Khan Yan Luo Yi Fang Mengyu Wang OOD 41 7 0 11 Jul 2024
Disentangling Masked Autoencoders for Unsupervised Domain Generalization An Zhang Han Wang Xiang Wang Tat-Seng Chua 49 0 0 10 Jul 2024
Understanding Visual Feature Reliance through the Lens of Complexity Thomas Fel Louis Bethune Andrew Kyle Lampinen Thomas Serre Katherine Hermann FAtt CoGe 32 6 0 08 Jul 2024
Understanding the Role of Invariance in Transfer Learning Till Speicher Vedant Nanda Krishna P. Gummadi SSL OOD 40 1 0 05 Jul 2024
FDS: Feedback-guided Domain Synthesis with Multi-Source Conditional Diffusion Models for Domain Generalization Mehrdad Noori Milad Cheraghalikhani Ali Bahri G. A. V. Hakim David Osowiechi Moslem Yazdanpanah Ismail Ben Ayed Christian Desrosiers 51 1 0 04 Jul 2024
On Generalization for Generative Flow Networks Anas Krichel Nikolay Malkin Salem Lahlou Yoshua Bengio AI4CE 19 1 0 03 Jul 2024
Evaluating Model Performance Under Worst-case Subpopulations Mike Li Hongseok Namkoong Shangzhou Xia 42 17 0 01 Jul 2024
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments Gaojie Jin Ronghui Mu Xinping Yi Xiaowei Huang Lijun Zhang 67 0 0 01 Jul 2024
Disentangled Representations for Causal Cognition Filippo Torresan Manuel Baltieri CML 37 1 0 30 Jun 2024
Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation Amartya Sanyal Yaxi Hu Yaodong Yu Yian Ma Yixin Wang Bernhard Schölkopf OODD 48 1 0 27 Jun 2024