Learning causal representations for robust domain adaptation

Learning causal representations for robust domain adaptation

12 November 2020

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Papers citing "Learning causal representations for robust domain adaptation"

15 / 15 papers shown

Title
Beyond Simulation: Benchmarking World Models for Planning and Causality in Autonomous Driving Hunter Schofield Mohammed Elmahgiubi K. Rezaee J. Shan 20 0 0 03 Aug 2025
$Revisiting Differentiable Structure Learning: Inconsistency of $\ell_1$ Penalty and Beyond$ Revisiting Differentiable Structure Learning: Inconsistency of $\ell_1$ Penalty and Beyond Kaifeng Jin Ignavier Ng Kun Zhang Zhen Zhang 105 0 0 24 Oct 2024
Seeking the Sufficiency and Necessity Causal Features in Multimodal Representation Learning Boyu Chen Junjie Liu Zhu Li Mengyue yang 121 1 0 29 Aug 2024
Socialized Learning: A Survey of the Paradigm Shift for Edge Intelligence in Networked Systems Xiaofei Wang Yunfeng Zhao Chao Qiu Qinghua Hu Victor C. M. Leung 105 8 0 20 Apr 2024
Implicit Causal Representation Learning via Switchable Mechanisms Shayan Shirahmad Gale Bagi Zahra Gharaee Oliver Schulte Mark Crowley CML 192 0 0 16 Feb 2024
Towards Human-like Perception: Learning Structural Causal Model in Heterogeneous Graph Tianqianjin Lin Kaisong Song Zhuoren Jiang Yangyang Kang Weikang Yuan Xurui Li Changlong Sun Cui Huang Xiaozhong Liu 94 7 0 10 Dec 2023
Unsupervised Cross-Domain Soft Sensor Modelling via Deep Physics-Inspired Particle Flow Bayes Junn Yong Loo Ze Yang Ding Surya G. Nurzaman C. Ting Vishnu Monn Baskaran Chee Pin Tan OOD 120 0 0 08 Jun 2023
Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences Jie Qiao Ruichu Cai Siyu Wu Yu Xiang Keli Zhang Zijian Li CML AI4TS 104 10 0 10 May 2023
Linking a predictive model to causal effect estimation Jiuyong Li Lin Liu Ziqi Xu Ha Xuan Tran T. Le Jixue Liu CML 92 0 0 10 Apr 2023
Structure Learning with Continuous Optimization: A Sober Look and Beyond Ignavier Ng Erdun Gao Kun Zhang CML 153 21 0 04 Apr 2023
Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting Shayan Shirahmad Gale Bagi Zahra Gharaee Oliver Schulte Mark Crowley OODD OOD 149 15 0 17 Feb 2023
Towards Privacy-Aware Causal Structure Learning in Federated Setting Jianli Huang Xianjie Guo Kui Yu Fuyuan Cao Jiye Liang FedML 103 10 0 13 Nov 2022
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI Jiangchao Yao Shengyu Zhang Yang Yao Feng Wang Jianxin Ma ... Kun Kuang Chao-Xiang Wu Leilei Gan Jingren Zhou Hongxia Yang 188 119 0 11 Nov 2021
Instrumental Variable-Driven Domain Generalization with Unobserved Confounders Junkun Yuan Xu Ma Ruoxuan Xiong Biwei Huang Xiangyu Liu Leilei Gan Lanfen Lin Kun Kuang OOD CML 133 13 0 04 Oct 2021
On the Convergence of Continuous Constrained Optimization for Structure Learning Ignavier Ng Sébastien Lachapelle Nan Rosemary Ke Simon Lacoste-Julien Kun Zhang 155 40 0 23 Nov 2020

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