Invariant Risk Minimization

5 July 2019

Papers citing "Invariant Risk Minimization"

50 / 1,404 papers shown

Title
Mixture Data for Training Cannot Ensure Out-of-distribution Generalization Songming Zhang Yuxiao Luo Qizhou Wang Haoang Chi Xiaofeng Chen Bo Han Jinyan Li OODD 30 0 0 25 Dec 2023
Revisiting Knowledge Distillation under Distribution Shift Songming Zhang Ziyu Lyu Xiaofeng Chen 32 1 0 25 Dec 2023
Construct 3D Hand Skeleton with Commercial WiFi Sijie Ji Xuanye Zhang Yuanqing Zheng Mo Li 19 14 0 24 Dec 2023
GROOD: Gradient-Aware Out-of-Distribution Detection Mostafa ElAraby Sabyasachi Sahoo Y. Pequignot Paul Novello Liam Paull 18 0 0 22 Dec 2023
Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective João B. S. Carvalho Mengtao Zhang Robin Geyer C. Jiménez J. M. Buhmann 23 5 0 21 Dec 2023
Domain Similarity-Perceived Label Assignment for Domain Generalized Underwater Object Detection Xisheng Li Wei Li Pinhao Song Mingjun Zhang Jie-Gui Zhou 29 0 0 20 Dec 2023
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 49 2 0 19 Dec 2023
GroupMixNorm Layer for Learning Fair Models Anubha Pandey Aditi Rai Maneet Singh Deepak L. Bhatt Tanmoy Bhowmik 22 0 0 19 Dec 2023
Domain Invariant Learning for Gaussian Processes and Bayesian Exploration Xilong Zhao Siyuan Bian Yaoyun Zhang Yuliang Zhang Qinying Gu Xinbing Wang Cheng Zhou Nanyang Ye 29 1 0 18 Dec 2023
Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization Tianrui Jia Haoyang Li Cheng Yang Tao Tao Chuan Shi OOD 37 17 0 18 Dec 2023
Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach Ziliang Chen Yongsen Zheng Zhao-Rong Lai Quanlong Guan Liang Lin CML 31 1 0 15 Dec 2023
Towards Context-Aware Domain Generalization: Understanding the Benefits and Limits of Marginal Transfer Learning Jens Müller Lars Kühmichel Martin Rohbeck Stefan T. Radev Ullrich Kothe OOD 40 0 0 15 Dec 2023
Generalizable Sleep Staging via Multi-Level Domain Alignment Jiquan Wang Sha Zhao Haiteng Jiang Shijian Li Tao Li Gang Pan 47 9 0 13 Dec 2023
Benchmarking Distribution Shift in Tabular Data with TableShift Josh Gardner Zoran Popovic Ludwig Schmidt OOD 24 32 0 10 Dec 2023
Hacking Task Confounder in Meta-Learning Wenwen Qiang Yi Ren Changwen Zheng Xingzhe Su Changwen Zheng Jingyao Wang CML 26 8 0 10 Dec 2023
Cross Domain Generative Augmentation: Domain Generalization with Latent Diffusion Models S. Hemati Mahdi Beitollahi A. Estiri Bassel Al Omari Xi Chen Guojun Zhang 19 6 0 08 Dec 2023
Neither hype nor gloom do DNNs justice Gaurav Malhotra Christian Tsvetkov B. D. Evans 24 117 0 08 Dec 2023
GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts Shirley Wu Kaidi Cao Bruno Ribeiro James Zou J. Leskovec OOD 16 3 0 07 Dec 2023
Perspectives on the State and Future of Deep Learning - 2023 Micah Goldblum A. Anandkumar Richard Baraniuk Tom Goldstein Kyunghyun Cho Zachary Chase Lipton Melanie Mitchell Preetum Nakkiran Max Welling Andrew Gordon Wilson 61 4 0 07 Dec 2023
Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction Representations Yuejiang Liu Ahmad Rahimi Po-Chien Luan Frano Rajic Alexandre Alahi 35 3 0 07 Dec 2023
Causality and Explainability for Trustworthy Integrated Pest Management Ilias Tsoumas Vasileios Sitokonstantinou Georgios Giannarakis Evagelia Lampiri C. Athanassiou Gustau Camps-Valls C. Kontoes Ioannis Athanasiadis 28 2 0 07 Dec 2023
Invariance & Causal Representation Learning: Prospects and Limitations Simon Bing Jonas Wahl Urmi Ninad Jakob Runge CML OOD 51 3 0 06 Dec 2023
f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization Sina Baharlouei Shivam Patel Meisam Razaviyayn 35 4 0 06 Dec 2023
REST: Enhancing Group Robustness in DNNs through Reweighted Sparse Training Jiaxu Zhao Lu Yin Shiwei Liu Meng Fang Mykola Pechenizkiy 28 2 0 05 Dec 2023
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models Sungik Choi Hankook Lee Honglak Lee Moontae Lee DiffM 39 7 0 05 Dec 2023
Wild-Tab: A Benchmark For Out-Of-Distribution Generalization In Tabular Regression Sergey Kolesnikov CML OOD 17 4 0 04 Dec 2023
When accurate prediction models yield harmful self-fulfilling prophecies Wouter A. C. van Amsterdam N. Geloven Jesse H. Krijthe Rajesh Ranganath Giovanni Cina 26 7 0 02 Dec 2023
Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations Y. Slavutsky Y. Benjamini VLM OOD 38 0 0 30 Nov 2023
A Simple Recipe for Language-guided Domain Generalized Segmentation Mohammad Fahes Tuan-Hung Vu Andrei Bursuc Patrick Pérez Raoul de Charette VLM 26 14 0 29 Nov 2023
Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction Zeyang Zhang Xingwang Li Fei Teng Ning Lin Xueling Zhu Xin Wang Wenwu Zhu OOD 37 11 0 27 Nov 2023
Choosing Wisely and Learning Deeply: Selective Cross-Modality Distillation via CLIP for Domain Generalization Jixuan Leng Yijiang Li Haohan Wang VLM 34 0 0 26 Nov 2023
Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously Chengli Zhao Kai Jiang Xintao Wu Haoliang Wang Latifur Khan Christan Earl Grant Feng Chen OOD 29 4 0 23 Nov 2023
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization Haonan Yuan Qingyun Sun Xingcheng Fu Ziwei Zhang Cheng Ji Hao Peng Jianxin Li OOD 30 16 0 18 Nov 2023
Auxiliary Losses for Learning Generalizable Concept-based Models Ivaxi Sheth Samira Ebrahimi Kahou 32 24 0 18 Nov 2023
MADG: Margin-based Adversarial Learning for Domain Generalization Aveen Dayal B. VimalK. Linga Reddy Cenkeramaddi C. K. Mohan Abhinav Kumar Vineeth N. Balasubramanian OOD AAML 29 63 0 14 Nov 2023
Concept-wise Fine-tuning Matters in Preventing Negative Transfer Yunqiao Yang Long-Kai Huang Ying Wei 38 2 0 12 Nov 2023
Domain Generalization by Learning from Privileged Medical Imaging Information Steven Korevaar Ruwan Tennakoon Ricky O'Brien Dwarikanath Mahapatra Alireza Bab-Hadiasha OOD 15 0 0 10 Nov 2023
Why Do Probabilistic Clinical Models Fail To Transport Between Sites? Thomas A. Lasko Eric V. Strobl William W Stead OOD 38 7 0 08 Nov 2023
Plug-and-Play Stability for Intracortical Brain-Computer Interfaces: A One-Year Demonstration of Seamless Brain-to-Text Communication Chaofei Fan Nick Hahn Foram Kamdar Donald T. Avansino G. Wilson Leigh R. Hochberg Krishna V. Shenoy Jaimie M. Henderson Francis R. Willett 20 12 0 06 Nov 2023
RELand: Risk Estimation of Landmines via Interpretable Invariant Risk Minimization Mateo Dulce Rubio Siqi Zeng Qi Wang Didier Alvarado Francisco Moreno Hoda Heidari Fei Fang 35 2 0 06 Nov 2023
Estimating treatment effects from single-arm trials via latent-variable modeling Manuel Haussmann Tran Minh Son Le Viivi Halla-aho Samu Kurki Jussi Leinonen Miika Koskinen Samuel Kaski Harri Lähdesmäki CML 29 0 0 06 Nov 2023
Detecting Spurious Correlations via Robust Visual Concepts in Real and AI-Generated Image Classification Preetam Prabhu Srikar Dammu Chirag Shah 40 2 0 03 Nov 2023
Invariant Causal Imitation Learning for Generalizable Policies Ioana Bica Daniel Jarrett Mihaela van der Schaar CML OffRL OOD 57 33 0 02 Nov 2023
Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization Algorithms Haoxiang Wang Gargi Balasubramaniam Haozhe Si Bo Li Han Zhao OOD 35 1 0 02 Nov 2023
MIST: Defending Against Membership Inference Attacks Through Membership-Invariant Subspace Training Jiacheng Li Ninghui Li Bruno Ribeiro 30 2 0 02 Nov 2023
Uncertainty quantification and out-of-distribution detection using surjective normalizing flows Simon Dirmeier Ye Hong Yanan Xin Fernando Pérez-Cruz UQCV 28 1 0 01 Nov 2023
Spuriosity Rankings for Free: A Simple Framework for Last Layer Retraining Based on Object Detection Mohammad Azizmalayeri Reza Abbasi Amir Hosein Haji Mohammad Rezaie Reihaneh Zohrabi Mahdi Amiri M. T. Manzuri M. Rohban 19 0 0 31 Oct 2023
Domain Generalization in Computational Pathology: Survey and Guidelines Mostafa Jahanifar M. Raza Kesi Xu T. Vuong R. Jewsbury ... Neda Zamanitajeddin Jin Tae Kwak S. Raza F. Minhas Nasir M. Rajpoot OOD 28 17 0 30 Oct 2023
Does Invariant Graph Learning via Environment Augmentation Learn Invariance? Yongqiang Chen Yatao Bian Kaiwen Zhou Binghui Xie Bo Han James Cheng OOD 36 34 0 29 Oct 2023
OC-NMN: Object-centric Compositional Neural Module Network for Generative Visual Analogical Reasoning Rim Assouel Pau Rodríguez Perouz Taslakian David Vazquez Yoshua Bengio LRM OCL 21 0 0 28 Oct 2023