Invariant Risk Minimization

5 July 2019

Papers citing "Invariant Risk Minimization"

50 / 1,404 papers shown

Title
Domain Generalisation via Risk Distribution Matching Toan Nguyen Kien Do Bao Duong T. Nguyen OOD 39 3 0 28 Oct 2023
Group Robust Classification Without Any Group Information Christos Tsirigotis João Monteiro Pau Rodríguez David Vazquez Aaron Courville OOD 27 22 0 28 Oct 2023
How Re-sampling Helps for Long-Tail Learning? Jiang-Xin Shi Tong Wei Yuke Xiang Yu-Feng Li 30 20 0 27 Oct 2023
Diversifying Spatial-Temporal Perception for Video Domain Generalization Kun-Yu Lin Jia-Run Du Yipeng Gao Jiaming Zhou Wei-Shi Zheng 42 14 0 27 Oct 2023
Generalizing to Unseen Domains in Diabetic Retinopathy Classification Chamuditha Jayanga Galappaththige Gayal Kuruppu Muhammad Haris Khan OOD 24 7 0 26 Oct 2023
Learning Repeatable Speech Embeddings Using An Intra-class Correlation Regularizer Jianwei Zhang Suren Jayasuriya Visar Berisha SSL 25 2 0 25 Oct 2023
Winning Prize Comes from Losing Tickets: Improve Invariant Learning by Exploring Variant Parameters for Out-of-Distribution Generalization Zhuo Huang Muyang Li Li Shen Jun-chen Yu Chen Gong Bo Han Tongliang Liu OOD 46 8 0 25 Oct 2023
Bayesian Domain Invariant Learning via Posterior Generalization of Parameter Distributions Shiyu Shen Bin Pan Tianyang Shi Tao Li Zhenwei Shi BDL OOD 35 1 0 25 Oct 2023
On the Foundations of Shortcut Learning Katherine Hermann Hossein Mobahi Thomas Fel M. C. Mozer VLM 38 27 0 24 Oct 2023
SoK: Memorization in General-Purpose Large Language Models Valentin Hartmann Anshuman Suri Vincent Bindschaedler David E. Evans Shruti Tople Robert West KELM LLMAG 24 20 0 24 Oct 2023
Robust Learning via Conditional Prevalence Adjustment Minh Nguyen Alan Q. Wang Heejong Kim M. Sabuncu CML OOD 24 2 0 24 Oct 2023
Confounder Balancing in Adversarial Domain Adaptation for Pre-Trained Large Models Fine-Tuning Shuoran Jiang Qingcai Chen Yang Xiang Youcheng Pan Xiangping Wu AI4CE 21 0 0 24 Oct 2023
Invariant Feature Regularization for Fair Face Recognition Jiali Ma Zhongqi Yue Tomoyuki Kagaya Tomoki Suzuki J. Karlekar Sugiri Pranata Hanwang Zhang 27 10 0 23 Oct 2023
Learning Invariant Molecular Representation in Latent Discrete Space Zhuang Xiang Qiang Zhang Keyan Ding Yatao Bian Xiao Wang Jingsong Lv Hongyang Chen Huajun Chen OOD 26 16 0 22 Oct 2023
Continual Invariant Risk Minimization Francesco Alesiani Shujian Yu Mathias Niepert OOD 31 1 0 21 Oct 2023
Specify Robust Causal Representation from Mixed Observations Girish A. Koushik Xin-Qiang Cai Furui Liu Weinan Zhang Jun Wang CML OOD 23 7 0 21 Oct 2023
Gradual Domain Adaptation: Theory and Algorithms Yifei He Haoxiang Wang Bo Li Han Zhao CLL 52 6 0 20 Oct 2023
Data Augmentations for Improved (Large) Language Model Generalization Amir Feder Yoav Wald Claudia Shi S. Saria David M. Blei OOD CML 32 7 0 19 Oct 2023
Removing Spurious Concepts from Neural Network Representations via Joint Subspace Estimation Floris Holstege Bram Wouters Noud van Giersbergen C. Diks 34 1 0 18 Oct 2023
Improving Generalization of Alignment with Human Preferences through Group Invariant Learning Rui Zheng Wei Shen Yuan Hua Wenbin Lai Shihan Dou ... Xiao Wang Haoran Huang Tao Gui Qi Zhang Xuanjing Huang 56 14 0 18 Oct 2023
SODA: Robust Training of Test-Time Data Adaptors Zige Wang Yonggang Zhang Zhen Fang Long Lan Wenjing Yang Bo Han 27 2 0 17 Oct 2023
Causal Feature Selection via Transfer Entropy Paolo Bonetti Alberto Maria Metelli Marcello Restelli CML 16 6 0 17 Oct 2023
Domain Generalization Using Large Pretrained Models with Mixture-of-Adapters Gyuseong Lee Wooseok Jang Jin Hyeon Kim Jaewoo Jung Seungryong Kim MoE OOD 30 3 0 17 Oct 2023
From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling Aneesh Komanduri Xintao Wu Yongkai Wu Feng Chen CML OOD 31 7 0 17 Oct 2023
Heterogenous Memory Augmented Neural Networks Zihan Qiu Zhen Liu Shuicheng Yan Shanghang Zhang Jie Fu 20 0 0 17 Oct 2023
Unlocking Emergent Modularity in Large Language Models Zihan Qiu Zeyu Huang Jie Fu 28 8 0 17 Oct 2023
Towards Unified and Effective Domain Generalization Yiyuan Zhang Kaixiong Gong Xiaohan Ding Kaipeng Zhang Fangrui Lv Kurt Keutzer Xiangyu Yue AI4CE OOD FedML 40 4 0 16 Oct 2023
Efficient Model-Agnostic Multi-Group Equivariant Networks Razan Baltaji Sourya Basu L. Varshney 32 1 0 14 Oct 2023
Causality and Independence Enhancement for Biased Node Classification Guoxin Chen Yongqing Wang Fangda Guo Qinglang Guo Jiangli Shao Huawei Shen Xueqi Cheng CML AI4CE OOD 40 14 0 14 Oct 2023
Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification Sravanti Addepalli Ashish Ramayee Asokan Lakshay Sharma R. V. Babu VLM 24 15 0 12 Oct 2023
Long-Tailed Classification Based on Coarse-Grained Leading Forest and Multi-Center Loss Jinye Yang Ji Xu Di Wu Jianhang Tang Shaobo Li Guoyin Wang 35 0 0 12 Oct 2023
Fairness under Covariate Shift: Improving Fairness-Accuracy tradeoff with few Unlabeled Test Samples Shreyas Havaldar Jatin Chauhan Karthikeyan Shanmugam Jay Nandy A. Raghuveer 51 1 0 11 Oct 2023
ADMEOOD: Out-of-Distribution Benchmark for Drug Property Prediction Shuoying Wei Xinlong Wen Lida Zhu Songquan Li Rongbo Zhu OOD 22 1 0 11 Oct 2023
Domain Generalization by Rejecting Extreme Augmentations Masih Aminbeidokhti F. Guerrero-Peña H. R. Medeiros Thomas Dubail Eric Granger M. Pedersoli ViT 45 3 0 10 Oct 2023
Unlock the Potential of Counterfactually-Augmented Data in Out-Of-Distribution Generalization Caoyun Fan Wenqing Chen Jidong Tian Yitian Li Hao He Yaohui Jin CML 20 4 0 10 Oct 2023
Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts Kaican Li Yifan Zhang Lanqing Hong Zhenguo Li Nevin L. Zhang OOD 41 0 0 10 Oct 2023
Supercharging Graph Transformers with Advective Diffusion Qitian Wu Chenxiao Yang Kaipeng Zeng Fan Nie AI4CE 53 6 0 10 Oct 2023
Domain-wise Invariant Learning for Panoptic Scene Graph Generation Li Li Youxuan Qin Wei Ji Yuxiao Zhou Roger Zimmermann 29 4 0 09 Oct 2023
Boosted Control Functions Nicola Gnecco Jonas Peters Sebastian Engelke Niklas Pfister 24 2 0 09 Oct 2023
Deep Concept Removal Yegor Klochkov Jean-François Ton Ruocheng Guo Yang Liu Hang Li 18 0 0 09 Oct 2023
Continuous Invariance Learning Yong Lin Fan Zhou Lu Tan Lintao Ma Jiameng Liu ... Yuan Yuan Yu Liu James Y. Zhang Yujiu Yang Hao Wang CLL OOD 39 3 0 09 Oct 2023
Activate and Reject: Towards Safe Domain Generalization under Category Shift Chaoqi Chen Luyao Tang Leitian Tao Hong-Yu Zhou Yue Huang Xiaoguang Han Yizhou Yu OOD 34 10 0 07 Oct 2023
CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis Chong You Xingjian Leng Zijian Wang Yang Yang Zi Huang Liang Zheng OOD 38 8 0 06 Oct 2023
Identifying Representations for Intervention Extrapolation Sorawit Saengkyongam Ezgi Ozyilkan Pradeep Ravikumar Niklas Pfister Jonas Peters CML OOD 16 15 0 06 Oct 2023
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks Alexander Robey Eric Wong Hamed Hassani George J. Pappas AAML 49 220 0 05 Oct 2023
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification Feihong He Gang Li Hui Xiong VLM ViT 54 1 0 05 Oct 2023
Towards out-of-distribution generalizable predictions of chemical kinetics properties Zihao Wang Yongqiang Chen Yang Duan Weijiang Li Bo Han James Cheng Hanghang Tong OOD 28 6 0 04 Oct 2023
Towards Domain-Specific Features Disentanglement for Domain Generalization Hao Chen Qi Zhang Zenan Huang Haobo Wang Jun Zhao OOD 56 1 0 04 Oct 2023
Multi-Domain Causal Representation Learning via Weak Distributional Invariances Kartik Ahuja Amin Mansouri Yixin Wang CML OOD 31 10 0 04 Oct 2023
Clustering-based Image-Text Graph Matching for Domain Generalization Nokyung Park Daewon Chae Jeongyong Shim Sangpil Kim Eun-Sol Kim Jinkyu Kim OOD 31 1 0 04 Oct 2023