Generalization in anti-causal learning

3 December 2018

Niki Kilbertus

Giambattista Parascandolo

Papers citing "Generalization in anti-causal learning"

22 / 22 papers shown

Title
Invariant Learning via Probability of Sufficient and Necessary Causes Mengyue Yang Zhen Fang Yonggang Zhang Yali Du Furui Liu Jean-François Ton Jianhong Wang Jun Wang OODD 148 14 0 22 Sep 2023
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models L. Yu Weisen Jiang Han Shi Jincheng Yu Zhengying Liu Yu Zhang James T. Kwok Zheng Li Adrian Weller Weiyang Liu OSLM LRM 118 395 0 21 Sep 2023
Measuring the Effect of Causal Disentanglement on the Adversarial Robustness of Neural Network Models Preben Ness D. Marijan Sunanda Bose CML 61 0 0 21 Aug 2023
On Computational Mechanisms for Shared Intentionality, and Speculation on Rationality and Consciousness John Rushby 49 0 0 03 Jun 2023
A step towards the applicability of algorithms based on invariant causal learning on observational data Borja Guerrero Santillan CML OOD 42 1 0 05 Apr 2023
Structural Causal 3D Reconstruction Weiyang Liu Zhen Liu Liam Paull Adrian Weller Bernhard Schölkopf 3DV CML 145 13 0 20 Jul 2022
Invariant and Transportable Representations for Anti-Causal Domain Shifts Yibo Jiang Victor Veitch OOD 189 36 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 98 125 0 23 May 2022
Diffusion Causal Models for Counterfactual Estimation Pedro Sanchez Sotirios A. Tsaftaris DiffM BDL 102 76 0 21 Feb 2022
Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data Haiying Wang Aonan Zhang Chong-Jun Wang 48 19 0 25 Oct 2021
Desiderata for Representation Learning: A Causal Perspective Yixin Wang Michael I. Jordan CML 80 84 0 08 Sep 2021
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain Lukas Schott Julius von Kügelgen Frederik Trauble Peter V. Gehler Chris Russell Matthias Bethge Bernhard Schölkopf Francesco Locatello Wieland Brendel OOD DRL 133 74 0 17 Jul 2021
Adversarial Visual Robustness by Causal Intervention Kaihua Tang Ming Tao Hanwang Zhang CML AAML 85 21 0 17 Jun 2021
Towards Causal Representation Learning Bernhard Schölkopf Francesco Locatello Stefan Bauer Nan Rosemary Ke Nal Kalchbrenner Anirudh Goyal Yoshua Bengio OOD CML AI4CE 160 322 0 22 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 153 106 0 03 Nov 2020
A causal view of compositional zero-shot recognition Yuval Atzmon Felix Kreuk Uri Shalit Gal Chechik OCL BDL CML 111 125 0 25 Jun 2020
A Causal View on Robustness of Neural Networks Cheng Zhang Kun Zhang Yingzhen Li CML OOD 97 85 0 03 May 2020
Shortcut Learning in Deep Neural Networks Robert Geirhos J. Jacobsen Claudio Michaelis R. Zemel Wieland Brendel Matthias Bethge Felix Wichmann 231 2,069 0 16 Apr 2020
Causality for Machine Learning Bernhard Schölkopf CML AI4CE LRM 117 465 0 24 Nov 2019
Predicting with High Correlation Features Devansh Arpit Caiming Xiong R. Socher OODD OOD 58 7 0 01 Oct 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 266 2,249 0 05 Jul 2019
Attribution-driven Causal Analysis for Detection of Adversarial Examples Susmit Jha Sunny Raj S. Fernandes Sumit Kumar Jha S. Jha Gunjan Verma B. Jalaeian A. Swami AAML 75 17 0 14 Mar 2019