Invariant Risk Minimization

5 July 2019

Papers citing "Invariant Risk Minimization"

50 / 1,404 papers shown

Title
Tackling Distribution Shifts in Task-Oriented Communication with Information Bottleneck Hongru Li Jiawei Shao Hengtao He Shenghui Song Jun Zhang Khaled B. Letaief OOD 32 5 0 15 May 2024
Cross-Domain Feature Augmentation for Domain Generalization Yingnan Liu Yingtian Zou Rui Qiao Fusheng Liu M. Lee W. Hsu OOD 43 4 0 14 May 2024
Non-stationary Domain Generalization: Theory and Algorithm Thai-Hoang Pham Xueru Zhang Ping Zhang OOD 51 1 0 10 May 2024
Theoretical Guarantees of Data Augmented Last Layer Retraining Methods Monica Welfert Nathan Stromberg Lalitha Sankar 48 1 0 09 May 2024
Taking a Moment for Distributional Robustness Jabari Hastings Christopher Jung Charlotte Peale Vasilis Syrgkanis OOD 43 1 0 08 May 2024
Towards Invariant Time Series Forecasting in Smart Cities Ziyi Zhang Shaogang Ren Xiaoning Qian Nicholas Duffield AI4TS 16 9 0 08 May 2024
Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation Guangtao Zheng Wenqian Ye Aidong Zhang 33 4 0 06 May 2024
Stability Evaluation via Distributional Perturbation Analysis Jose H. Blanchet Peng Cui Jiajin Li Jiashuo Liu 41 0 0 06 May 2024
Adapting to Distribution Shift by Visual Domain Prompt Generation Zhixiang Chi Li Gu Tao Zhong Huan Liu Yuanhao Yu Konstantinos N Plataniotis Yang Wang VLM OOD 39 7 0 05 May 2024
Invariant Risk Minimization Is A Total Variation Model Zhao-Rong Lai Wei-Wen Wang OOD 14 1 0 02 May 2024
Accelerated Fully First-Order Methods for Bilevel and Minimax Optimization Chris Junchi Li 56 0 0 01 May 2024
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation Min Zhang Haoxuan Li Fei Wu Kun Kuang OODD 24 12 0 30 Apr 2024
Multimodality Invariant Learning for Multimedia-Based New Item Recommendation Haoyue Bai Le Wu Min Hou Miaomiao Cai Zhuangzhuang He Yuyang Zhou Richang Hong Meng Wang 37 9 0 28 Apr 2024
Boosting Model Resilience via Implicit Adversarial Data Augmentation Xiaoling Zhou Wei Ye Zhemg Lee Rui Xie Shi-Bo Zhang 44 1 0 25 Apr 2024
Causally Inspired Regularization Enables Domain General Representations Olawale Salaudeen Oluwasanmi Koyejo OOD CML 25 2 0 25 Apr 2024
Utilizing Graph Generation for Enhanced Domain Adaptive Object Detection Mu Wang 47 0 0 23 Apr 2024
Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference Yujin Han Difan Zou AAML 29 3 0 22 Apr 2024
Dynamic Proxy Domain Generalizes the Crowd Localization by Better Binary Segmentation Junyu Gao Da Zhang Qiyu Wang Zhiyuan Zhao Xuelong Li 49 0 0 22 Apr 2024
IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained Models Tao Feng Lizhen Qu Zhuang Li Haolan Zhan Yuncheng Hua Gholamreza Haffari VLM 37 1 0 21 Apr 2024
STAT: Towards Generalizable Temporal Action Localization Yangcen Liu Ziyi Liu Yuanhao Zhai Wen Li David Doerman Junsong Yuan 36 2 0 20 Apr 2024
Multimodal 3D Object Detection on Unseen Domains Deepti Hegde Suhas Lohit Kuan-Chuan Peng Michael J. Jones Vishal M. Patel 3DPC 53 2 0 17 Apr 2024
CORE: Data Augmentation for Link Prediction via Information Bottleneck Kaiwen Dong Zhichun Guo Nitesh V. Chawla 19 0 0 17 Apr 2024
DGMamba: Domain Generalization via Generalized State Space Model Shaocong Long Qianyu Zhou Hefei Ling Xuequan Lu Chenhao Ying Yuan Luo Lizhuang Ma Shuicheng Yan 51 9 0 11 Apr 2024
A robust assessment for invariant representations Wenlu Tang Zicheng Liu OOD 32 0 0 07 Apr 2024
FAIRM: Learning invariant representations for algorithmic fairness and domain generalization with minimax optimality Sai Li Linjun Zhang OOD FaML 64 1 0 02 Apr 2024
Machine Learning Robustness: A Primer Houssem Ben Braiek Foutse Khomh AAML OOD 34 5 0 01 Apr 2024
Functional Bilevel Optimization for Machine Learning Ieva Petrulionyte Julien Mairal Michael Arbel 51 2 0 29 Mar 2024
An Information-Theoretic Framework for Out-of-Distribution Generalization Wenliang Liu Guanding Yu Lele Wang Renjie Liao 40 2 0 29 Mar 2024
On the Benefits of Over-parameterization for Out-of-Distribution Generalization Yifan Hao Yong Lin Difan Zou Tong Zhang OODD OOD 42 4 0 26 Mar 2024
Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classification Eva Pachetti Sotirios A. Tsaftaris Sara Colantonio 35 2 0 26 Mar 2024
Graphs Generalization under Distribution Shifts Qin Tian Wenjun Wang Chen Zhao Minglai Shao Wang Zhang Dong Li OOD 38 2 0 25 Mar 2024
Controlled Training Data Generation with Diffusion Models Teresa Yeo Andrei Atanov Harold Benoit Aleksandr Alekseev Ruchira Ray Pooya Esmaeil Akhoondi Amir Zamir 47 4 0 22 Mar 2024
Debiasing surgeon: fantastic weights and how to find them Rémi Nahon Ivan Luiz De Moura Matos Van-Tam Nguyen Enzo Tartaglione 36 1 0 21 Mar 2024
ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations Rwiddhi Chakraborty Adrian Sletten Michael C. Kampffmeyer 34 0 0 20 Mar 2024
M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling Xudong Sun Nutan Chen Alexej Gossmann Yu Xing Carla Feistner ... Felix Drost Daniele Scarcella Lisa Beer Carsten Marr Carsten Marr 59 1 0 20 Mar 2024
Towards Generalizing to Unseen Domains with Few Labels Chamuditha Jayanga Galappaththige Sanoojan Baliah Malitha Gunawardhana Muhammad Haris Khan 32 3 0 18 Mar 2024
NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation PengFei Zheng Yonggang Zhang Zhen Fang Tongliang Liu Defu Lian Bo Han DiffM 34 8 0 13 Mar 2024
Fairness Feedback Loops: Training on Synthetic Data Amplifies Bias Sierra Wyllie Ilia Shumailov Nicolas Papernot 40 25 0 12 Mar 2024
Proxy Methods for Domain Adaptation Katherine Tsai Stephen R. Pfohl Olawale Salaudeen Nicole Chiou Matt J. Kusner Alexander DÁmour Oluwasanmi Koyejo Arthur Gretton OOD 35 2 0 12 Mar 2024
Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors Jonghyun Lee Dahuin Jung Saehyung Lee Junsung Park Juhyeon Shin Uiwon Hwang Sungroh Yoon TTA AAML 32 31 0 12 Mar 2024
Unknown Domain Inconsistency Minimization for Domain Generalization Seungjae Shin Heesun Bae Byeonghu Na Yoon-Yeong Kim Il-Chul Moon 39 2 0 12 Mar 2024
Distributionally Generative Augmentation for Fair Facial Attribute Classification Fengda Zhang Qianpei He Kun Kuang Jiashuo Liu Long Chen Chao-Xiang Wu Jun Xiao Hanwang Zhang CVBM 42 8 0 11 Mar 2024
Bridging Domains with Approximately Shared Features Ziliang Samuel Zhong Xiang Pan Qi Lei OOD 31 1 0 11 Mar 2024
AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation Zihao Tang Zheqi Lv Shengyu Zhang Yifan Zhou Xinyu Duan Fei Wu Kun Kuang 29 1 0 11 Mar 2024
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness Yingtian Zou Kenji Kawaguchi Yingnan Liu Jiashuo Liu M. Lee W. Hsu 45 5 0 11 Mar 2024
Cooperative Classification and Rationalization for Graph Generalization Linan Yue Qi Liu Ye Liu Weibo Gao Fangzhou Yao Wenfeng Li 37 10 0 10 Mar 2024
Domain Adversarial Active Learning for Domain Generalization Classification Jianting Chen Ling Ding Yunxiao Yang Zaiyuan Di Yang Xiang OOD 40 0 0 10 Mar 2024
LTGC: Long-tail Recognition via Leveraging LLMs-driven Generated Content QiHao Zhao Yalun Dai Hao Li Wei Hu Fan Zhang Jun Liu 34 15 0 09 Mar 2024
Beyond Finite Data: Towards Data-free Out-of-distribution Generalization via Extrapolation Yijiang Li Sucheng Ren Weipeng Deng Yuzhi Xu Ying Gao Edith C.H. Ngai Haohan Wang OOD 38 1 0 08 Mar 2024
Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts Zeyang Zhang Xin Wang Ziwei Zhang Zhou Qin Weigao Wen Hui Xue Haoyang Li Wenwu Zhu OOD 37 17 0 08 Mar 2024