Generalization in anti-causal learning

Generalization in anti-causal learning

3 December 2018

Giambattista Parascandolo

Bernhard Schölkopf

Papers citing "Generalization in anti-causal learning"

12 / 12 papers shown

Title
Measuring the Effect of Causal Disentanglement on the Adversarial Robustness of Neural Network Models Preben Ness D. Marijan Sunanda Bose CML 29 0 0 21 Aug 2023
On Computational Mechanisms for Shared Intentionality, and Speculation on Rationality and Consciousness John Rushby 19 0 0 03 Jun 2023
Structural Causal 3D Reconstruction Weiyang Liu Zhen Liu Liam Paull Adrian Weller Bernhard Schölkopf 3DV CML 24 13 0 20 Jul 2022
Invariant and Transportable Representations for Anti-Causal Domain Shifts Yibo Jiang Victor Veitch OOD 123 32 0 04 Jul 2022
Causal Machine Learning for Healthcare and Precision Medicine Pedro Sanchez J. Voisey Tian Xia Hannah I. Watson Alison Q. OÑeil Sotirios A. Tsaftaris OOD CML 42 108 0 23 May 2022
Diffusion Causal Models for Counterfactual Estimation Pedro Sanchez Sotirios A. Tsaftaris DiffM BDL 26 68 0 21 Feb 2022
Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data Haiying Wang Aonan Zhang Chong-Jun Wang 10 19 0 25 Oct 2021
Desiderata for Representation Learning: A Causal Perspective Yixin Wang Michael I. Jordan CML 30 80 0 08 Sep 2021
Adversarial Visual Robustness by Causal Intervention Kaihua Tang Ming Tao Hanwang Zhang CML AAML 19 21 0 17 Jun 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 24 104 0 03 Nov 2020
A causal view of compositional zero-shot recognition Y. Atzmon Felix Kreuk Uri Shalit Gal Chechik OCL BDL CML 55 117 0 25 Jun 2020
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 24 2,152 0 05 Jul 2019