Representation Learning via Invariant Causal Mechanisms

Representation Learning via Invariant Causal Mechanisms

15 October 2020

Jovana Mitrović

Brian McWilliams

Charles Blundell

Papers citing "Representation Learning via Invariant Causal Mechanisms"

10 / 60 papers shown

Title
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization Nanyang Ye Kaican Li Haoyue Bai Runpeng Yu Lanqing Hong Fengwei Zhou Zhenguo Li Jun Zhu CML OOD 32 106 0 07 Jun 2021
Generating Relevant and Coherent Dialogue Responses using Self-separated Conditional Variational AutoEncoders Bin Sun Shaoxiong Feng Yiwei Li Jiamou Liu Kan Li 13 31 0 07 Jun 2021
Counterfactual Invariance to Spurious Correlations: Why and How to Pass Stress Tests Victor Veitch Alexander DÁmour Steve Yadlowsky Jacob Eisenstein OOD 16 91 0 31 May 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang Cuiling Lan Chang-Shu Liu Yidong Ouyang Tao Qin Wang Lu Yiqiang Chen Wenjun Zeng Philip S. Yu OOD 52 1,169 0 02 Mar 2021
Model-Invariant State Abstractions for Model-Based Reinforcement Learning Manan Tomar Amy Zhang Roberto Calandra Matthew E. Taylor Joelle Pineau 17 24 0 19 Feb 2021
Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning Kento Nozawa Issei Sato SSL 11 43 0 13 Feb 2021
Learning Causal Semantic Representation for Out-of-Distribution Prediction Chang-Shu Liu Xinwei Sun Jindong Wang Haoyue Tang Tao Li Tao Qin Wei Chen Tie-Yan Liu CML OODD OOD 19 104 0 03 Nov 2020
Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation L. Guan Mudit Verma Sihang Guo Ruohan Zhang Subbarao Kambhampati 38 42 0 26 Jun 2020
Self-supervised Learning: Generative or Contrastive Xiao Liu Fanjin Zhang Zhenyu Hou Zhaoyu Wang Li Mian Jing Zhang Jie Tang SSL 29 1,586 0 15 Jun 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 246 3,369 0 09 Mar 2020