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Learning Independent Causal Mechanisms

4 December 2017

Giambattista Parascandolo

Papers citing "Learning Independent Causal Mechanisms"

20 / 20 papers shown

Title
A Language Anchor-Guided Method for Robust Noisy Domain Generalization Zilin Dai Lehong Wang Fangzhou Lin Yidong Wang Zhigang Li Kazunori D Yamada Ziming Zhang Wang Lu 410 0 0 21 Mar 2025
Compositional Risk Minimization Divyat Mahajan Mohammad Pezeshki Ioannis Mitliagkas Kartik Ahuja Pascal Vincent Pascal Vincent 98 6 0 08 Oct 2024
Breaking Neural Network Scaling Laws with Modularity Akhilan Boopathy Sunshine Jiang William Yue Jaedong Hwang Abhiram Iyer Ila Fiete OOD 124 2 0 09 Sep 2024
Deep Structural Causal Models for Tractable Counterfactual Inference Nick Pawlowski Daniel Coelho De Castro Ben Glocker CML MedIm 108 243 0 11 Jun 2020
Adversarial Discriminative Domain Adaptation Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell GAN OOD 284 4,680 0 17 Feb 2017
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer Noam M. Shazeer Azalia Mirhoseini Krzysztof Maziarz Andy Davis Quoc V. Le Geoffrey E. Hinton J. Dean MoE 253 2,697 0 23 Jan 2017
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks Konstantinos Bousmalis N. Silberman David Dohan D. Erhan Dilip Krishnan OOD GAN 165 1,536 0 16 Dec 2016
Expert Gate: Lifelong Learning with a Network of Experts Rahaf Aljundi Punarjay Chakravarty Tinne Tuytelaars CLL 100 663 0 18 Nov 2016
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles Stefan Lee Senthil Purushwalkam Michael Cogswell Viresh Ranjan David J. Crandall Dhruv Batra BDL UQCV OOD 92 179 0 24 Jun 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel GAN 166 4,240 0 12 Jun 2016
Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA Aapo Hyvarinen H. Morioka CML OOD AI4TS 79 410 0 20 May 2016
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter 313 5,539 0 23 Nov 2015
Invariant Models for Causal Transfer Learning Mateo Rojas-Carulla Bernhard Schölkopf Richard Turner J. Peters OOD 74 23 0 19 Jul 2015
Distinguishing Cause from Effect Based on Exogeneity Kun Zhang Jiji Zhang Bernhard Schölkopf CML 53 35 0 22 Apr 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 469 43,357 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,433 0 22 Dec 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 486 16,916 0 20 Dec 2013
On Causal and Anticausal Learning Bernhard Schölkopf Dominik Janzing J. Peters Eleni Sgouritsa Kun Zhang Joris Mooij CML 102 612 0 27 Jun 2012
Inferring deterministic causal relations P. Daniušis Dominik Janzing Joris Mooij Jakob Zscheischler Bastian Steudel Kun Zhang Bernhard Schölkopf CML 122 192 0 15 Mar 2012
Causal inference using the algorithmic Markov condition Dominik Janzing Bernhard Schölkopf CML 163 307 0 23 Apr 2008