Controllable Invariance through Adversarial Feature Learning

31 May 2017

Graham Neubig

Papers citing "Controllable Invariance through Adversarial Feature Learning"

23 / 23 papers shown

Title
Multi-Output Distributional Fairness via Post-Processing Gang Li Qihang Lin Ayush Ghosh Tianbao Yang 122 0 0 31 Aug 2024
AI-based association analysis for medical imaging using latent-space geometric confounder correction Xianjing Liu Yue Liu Meike W. Vernooij E. Wolvius Gennady V. Roshchupkin Esther E. Bron MedIm 86 0 0 03 Oct 2023
LEACE: Perfect linear concept erasure in closed form Nora Belrose David Schneider-Joseph Shauli Ravfogel Ryan Cotterell Edward Raff Stella Biderman KELM MU 64 113 0 06 Jun 2023
Cross-lingual Distillation for Text Classification Ruochen Xu Yiming Yang VLM 66 71 0 05 May 2017
Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning Werner Zellinger Thomas Grubinger E. Lughofer T. Natschläger Susanne Saminger-Platz OOD 105 573 0 28 Feb 2017
Adversarial Discriminative Domain Adaptation Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell GAN OOD 257 4,655 0 17 Feb 2017
OpenNMT: Open-Source Toolkit for Neural Machine Translation Guillaume Klein Yoon Kim Yuntian Deng Jean Senellart Alexander M. Rush 325 1,900 0 10 Jan 2017
Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation Melvin Johnson M. Schuster Quoc V. Le M. Krikun Yonghui Wu ... F. Viégas Martin Wattenberg Gregory S. Corrado Macduff Hughes Jeffrey Dean 115 2,090 0 14 Nov 2016
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 328 4,624 0 10 Nov 2016
Learning to Pivot with Adversarial Networks Gilles Louppe Michael Kagan Kyle Cranmer 63 227 0 03 Nov 2016
Domain Separation Networks Konstantinos Bousmalis George Trigeorgis N. Silberman Dilip Krishnan D. Erhan OOD 107 1,450 0 22 Aug 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel GAN 157 4,235 0 12 Jun 2016
Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification Xilun Chen Yu Sun Ben Athiwaratkun Claire Cardie Kilian Q. Weinberger 253 316 0 06 Jun 2016
The Variational Fair Autoencoder Christos Louizos Kevin Swersky Yujia Li Max Welling R. Zemel DRL 219 633 0 03 Nov 2015
Neural Machine Translation of Rare Words with Subword Units Rico Sennrich Barry Haddow Alexandra Birch 198 7,734 0 31 Aug 2015
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 366 9,484 0 28 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 439 43,277 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.6K 150,006 0 22 Dec 2014
Learning unbiased features Yujia Li Kevin Swersky R. Zemel OOD SSL FaML 65 70 0 17 Dec 2014
Unsupervised Domain Adaptation by Backpropagation Yaroslav Ganin Victor Lempitsky OOD 233 6,019 0 26 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 519 27,263 0 01 Sep 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 433 16,944 0 20 Dec 2013
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 243 12,431 0 24 Jun 2012