Domain Adaptation as a Problem of Inference on Graphical Models

9 February 2020

Papers citing "Domain Adaptation as a Problem of Inference on Graphical Models"

32 / 32 papers shown

Title
Beyond Batch Learning: Global Awareness Enhanced Domain Adaptation Lingkun Luo Shiqiang Hu Liming Chen 114 0 0 10 Feb 2025
Embracing the Disharmony in Medical Imaging: A Simple and Effective Framework for Domain Adaptation Rongguang Wang Pratik Chaudhari Christos Davatzikos OOD 85 51 0 23 Mar 2021
Rethinking Importance Weighting for Deep Learning under Distribution Shift Tongtong Fang Nan Lu Gang Niu Masashi Sugiyama 45 139 0 08 Jun 2020
I-SPEC: An End-to-End Framework for Learning Transportable, Shift-Stable Models Adarsh Subbaswamy Suchi Saria OOD 45 14 0 20 Feb 2020
Regularized Learning for Domain Adaptation under Label Shifts Kamyar Azizzadenesheli Anqi Liu Fanny Yang Anima Anandkumar 31 205 0 22 Mar 2019
Causal Discovery from Heterogeneous/Nonstationary Data with Independent Changes Erdun Gao Kun Zhang Jiji Zhang Joseph Ramsey Ruben Sanchez-Romero Clark Glymour Bernhard Schölkopf 49 220 0 05 Mar 2019
Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift Stephan Rabanser Stephan Günnemann Zachary Chase Lipton 52 363 0 29 Oct 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis Andrew Brock Jeff Donahue Karen Simonyan 218 5,363 0 28 Sep 2018
Semi-Generative Modelling: Covariate-Shift Adaptation with Cause and Effect Features Julius von Kügelgen A. Mey Marco Loog CML GAN 28 14 0 20 Jul 2018
Causal Generative Domain Adaptation Networks Biwei Huang Kun Zhang Erdun Gao Clark Glymour Dacheng Tao Kayhan Batmanghelich CML OOD TTA 50 21 0 12 Apr 2018
Detecting and Correcting for Label Shift with Black Box Predictors Zachary Chase Lipton Yu Wang Alex Smola OOD 48 548 0 12 Feb 2018
Causal Generative Neural Networks Olivier Goudet Diviyan Kalainathan Philippe Caillou Isabelle M Guyon David Lopez-Paz Michèle Sebag BDL CML DRL 43 59 0 24 Nov 2017
CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training Murat Kocaoglu Christopher Snyder A. Dimakis S. Vishwanath GAN OOD 45 252 0 06 Sep 2017
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions Sara Magliacane T. V. Ommen Tom Claassen Stephan Bongers Philip Versteeg Joris M. Mooij OOD CML 82 235 0 20 Jul 2017
Joint Distribution Optimal Transportation for Domain Adaptation Nicolas Courty Rémi Flamary Amaury Habrard A. Rakotomamonjy OT OOD 76 561 0 24 May 2017
Domain Separation Networks Konstantinos Bousmalis George Trigeorgis N. Silberman Dilip Krishnan D. Erhan OOD 88 1,442 0 22 Aug 2016
Deep CORAL: Correlation Alignment for Deep Domain Adaptation Baochen Sun Kate Saenko OOD 71 3,123 0 06 Jul 2016
Coupled Generative Adversarial Networks Ming-Yuan Liu Oncel Tuzel OOD GAN 69 1,626 0 24 Jun 2016
Conditional Generative Moment-Matching Networks Yong Ren J. Li Yucen Luo Jun Zhu GAN 32 61 0 14 Jun 2016
Deep Transfer Learning with Joint Adaptation Networks Mingsheng Long Hanhua Zhu Jianmin Wang Michael I. Jordan TTA 76 2,451 0 21 May 2016
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 343 9,418 0 28 May 2015
Learning Transferable Features with Deep Adaptation Networks Mingsheng Long Yue Cao Jianmin Wang Michael I. Jordan OOD 189 5,177 0 10 Feb 2015
Generative Moment Matching Networks Yujia Li Kevin Swersky R. Zemel OOD GAN 90 844 0 10 Feb 2015
Conditional Generative Adversarial Nets M. Berk Mirza Simon Osindero GAN SyDa AI4CE 210 10,365 0 06 Nov 2014
Generative Adversarial Networks Ian Goodfellow Jean Pouget-Abadie M. Berk Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville Yoshua Bengio GAN 127 2,191 0 10 Jun 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 362 16,962 0 20 Dec 2013
A Probabilistic Calculus of Actions Judea Pearl 34 123 0 27 Feb 2013
Domain Generalization via Invariant Feature Representation Krikamol Muandet David Balduzzi Bernhard Schölkopf OOD 87 1,166 0 10 Jan 2013
Stochastic Variational Inference Matt Hoffman David M. Blei Chong-Jun Wang John Paisley BDL 199 2,616 0 29 Jun 2012
On Causal and Anticausal Learning Bernhard Schölkopf Dominik Janzing J. Peters Eleni Sgouritsa Kun Zhang Joris Mooij CML 74 604 0 27 Jun 2012
Semi-Supervised Learning of Class Balance under Class-Prior Change by Distribution Matching M. C. D. Plessis Masashi Sugiyama 37 135 0 18 Jun 2012
Kernel-based Conditional Independence Test and Application in Causal Discovery Kun Zhang J. Peters Dominik Janzing Bernhard Schölkopf BDL CML 82 618 0 14 Feb 2012