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2001.11713
Cited By
Stable Prediction with Model Misspecification and Agnostic Distribution Shift
AAAI Conference on Artificial Intelligence (AAAI), 2020
31 January 2020
Kun Kuang
Ruoxuan Xiong
Peng Cui
Susan Athey
Yue Liu
OOD
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Papers citing
"Stable Prediction with Model Misspecification and Agnostic Distribution Shift"
50 / 62 papers shown
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Class-Conditional Distribution Balancing for Group Robust Classification
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CRTRE: Causal Rule Generation with Target Trial Emulation Framework
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290
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10 Nov 2024
Stable Heterogeneous Treatment Effect Estimation across Out-of-Distribution Populations
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Anpeng Wu
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256
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338
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A Survey on Evaluation of Out-of-Distribution Generalization
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Tianyu Wang
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Jiayun Wu
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When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook
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542
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Learning to Reweight for Graph Neural Network
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Teng Xiao
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Jinluan Yang
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260
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Invariant Random Forest: Tree-Based Model Solution for OOD Generalization
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240
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MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Chengpeng Li
Zheng Yuan
Hongyi Yuan
Guanting Dong
Keming Lu
Jiancan Wu
Chuanqi Tan
Xiang Wang
Chang Zhou
LRM
343
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Learning Generalizable Agents via Saliency-Guided Features Decorrelation
Neural Information Processing Systems (NeurIPS), 2023
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Yanchao Sun
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Yi-Ju Chang
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304
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Environment Diversification with Multi-head Neural Network for Invariant Learning
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Shou-De Lin
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178
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Grounded Image Text Matching with Mismatched Relation Reasoning
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Yu Wu
Yan-Tao Wei
Haozhe Jasper Wang
Yongfei Liu
Sibei Yang
Xuming He
333
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DREAM: Domain-free Reverse Engineering Attributes of Black-box Model
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Jiaqi Yu
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200
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262
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Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation
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Qiang Liu
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231
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Quantifying Overfitting: Evaluating Neural Network Performance through Analysis of Null Space
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Mohammad Sabokrou
234
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Rethinking the Evaluation Protocol of Domain Generalization
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Xingxuan Zhang
Renzhe Xu
Tianyu Wang
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OOD
358
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24 May 2023
SFP: Spurious Feature-targeted Pruning for Out-of-Distribution Generalization
ACM Multimedia (ACM MM), 2023
Yingchun Wang
Jingcai Guo
Yi Liu
Song Guo
Weizhan Zhang
Xiangyong Cao
Qinghua Zheng
AAML
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312
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Prediction with Incomplete Data under Agnostic Mask Distribution Shift
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Yichen Zhu
Jian Yuan
Ziwei He
Tao Lin
Haiming Jin
Xinbing Wang
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127
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Deep Stable Multi-Interest Learning for Out-of-distribution Sequential Recommendation
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Zhaocheng Liu
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Tianqi Du
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341
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Model Agnostic Sample Reweighting for Out-of-Distribution Learning
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Yong Lin
Renjie Pi
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229
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Exploring Optimal Substructure for Out-of-distribution Generalization via Feature-targeted Model Pruning
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Decorr: Environment Partitioning for Invariant Learning and OOD Generalization
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215
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Deep Stable Representation Learning on Electronic Health Records
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Label-Efficient Domain Generalization via Collaborative Exploration and Generalization
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Xu Ma
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200
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Yingtao Luo
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255
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14 Jul 2022
Towards out of distribution generalization for problems in mechanics
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Lingxiao Yuan
Harold S. Park
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RMT-Net: Reject-aware Multi-Task Network for Modeling Missing-not-at-random Data in Financial Credit Scoring
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Yingtao Luo
Shu Wu
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Xiangnan Yue
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206
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Towards Domain Generalization in Object Detection
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252
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Towards Class-agnostic Tracking Using Feature Decorrelation in Point Clouds
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Debiased Graph Neural Networks with Agnostic Label Selection Bias
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General Greedy De-bias Learning
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A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization
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Kernelized Heterogeneous Risk Minimization
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Stable Prediction on Graphs with Agnostic Distribution Shift
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NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization
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