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2011.01681
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Learning Causal Semantic Representation for Out-of-Distribution Prediction
3 November 2020
Yu Xie
Xinwei Sun
Yongfeng Zhang
Haoyue Tang
Tao Li
Tao Qin
Wei Chen
Tie-Yan Liu
CML
OODD
OOD
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Papers citing
"Learning Causal Semantic Representation for Out-of-Distribution Prediction"
50 / 53 papers shown
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384
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380
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392
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Graphs Generalization under Distribution Shifts
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Implicit Causal Representation Learning via Switchable Mechanisms
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426
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Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective
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242
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Jun-chen Yu
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Tongliang Liu
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359
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492
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Kaixiong Gong
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Xiangyu Yue
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Yizhou Yu
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321
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Zhen Fang
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Yali Du
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Jean-François Ton
Jianhong Wang
Jun Wang
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603
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22 Sep 2023
Inducing Causal Structure for Abstractive Text Summarization
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Ruqing Zhang
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246
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Hanchen Xie
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261
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Causal reasoning in typical computer vision tasks
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A Causal Framework to Unify Common Domain Generalization Approaches
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Kaican Li
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FedML
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298
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Consistency Regularization for Domain Generalization with Logit Attribution Matching
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Kaican Li
Weiyan Xie
Zhi Lin
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Caleb Chen Cao
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397
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Meta-causal Learning for Single Domain Generalization
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Zhiqiang Gao
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266
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Masked Images Are Counterfactual Samples for Robust Fine-tuning
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488
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Tianqi Du
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355
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Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting
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Zahra Gharaee
Oliver Schulte
Mark Crowley
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331
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Yasaman S. Sefidgar
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A. Dey
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293
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