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Controllable Invariance through Adversarial Feature Learning

Neural Information Processing Systems (NeurIPS), 2017

31 May 2017

Graham Neubig

Papers citing "Controllable Invariance through Adversarial Feature Learning"

40 / 190 papers shown

Title
Invariant Representations through Adversarial ForgettingAAAI Conference on Artificial Intelligence (AAAI), 2019 Ayush Jaiswal Daniel Moyer Greg Ver Steeg Wael AbdAlmageed Premkumar Natarajan OOD 186 42 0 11 Nov 2019
Robust speaker recognition using unsupervised adversarial invarianceIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019 Raghuveer Peri Monisankha Pal Arindam Jati Krishna Somandepalli Shrikanth Narayanan 110 26 0 03 Nov 2019
Learning Fair and Interpretable Representations via Linear Orthogonalization Yuzi He Keith Burghardt Kristina Lerman FaML 137 5 0 28 Oct 2019
On the Global Optima of Kernelized Adversarial Representation LearningIEEE International Conference on Computer Vision (ICCV), 2019 Bashir Sadeghi Runyi Yu Vishnu Boddeti AAML 157 33 0 16 Oct 2019
Representation Learning with Statistical Independence to Mitigate Bias Ehsan Adeli Qingyu Zhao A. Pfefferbaum E. Sullivan Li Fei-Fei Juan Carlos Niebles K. Pohl CML FaML OOD 213 19 0 08 Oct 2019
Domain Differential Adaptation for Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 Zi-Yi Dou Xinyi Wang Junjie Hu Graham Neubig 100 20 0 07 Oct 2019
Topics to Avoid: Demoting Latent Confounds in Text ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 Sachin Kumar S. Wintner Noah A. Smith Yulia Tsvetkov BDL OOD 217 33 0 01 Sep 2019
Pushing the Limits of Low-Resource Morphological InflectionConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 Antonios Anastasopoulos Graham Neubig 221 81 0 16 Aug 2019
Domain-adversarial Network AlignmentIEEE Transactions on Knowledge and Data Engineering (TKDE), 2019 Huiting Hong Xin Li Yuangang Pan Ivor Tsang 79 40 0 15 Aug 2019
Learning Invariant Representations for Sentiment Analysis: The Missing Material is Datasets Victor Bouvier P. Very C´eline Hudelot C. Chastagnol 86 0 0 29 Jul 2019
Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness EffectsGraz Brain-Computer Interface Conference (GBI), 2019 Ozan Özdenizci B. Oken Tab Memmott M. Fried-Oken Deniz Erdogmus AAML 77 1 0 22 Jul 2019
On Adversarial Removal of Hypothesis-only Bias in Natural Language InferenceInternational Workshop on Semantic Evaluation (SemEval), 2019 Yonatan Belinkov Adam Poliak Stuart M. Shieber Benjamin Van Durme Alexander M. Rush AAML 152 73 0 09 Jul 2019
A Cyclically-Trained Adversarial Network for Invariant Representation Learning Jiawei Chen Janusz Konrad Prakash Ishwar AAML GAN OOD 116 8 0 21 Jun 2019
Gender-preserving Debiasing for Pre-trained Word EmbeddingsAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 Masahiro Kaneko Danushka Bollegala FaML 163 134 0 03 Jun 2019
Optimized Score Transformation for Consistent Fair ClassificationJournal of machine learning research (JMLR), 2019 Dennis L. Wei Karthikeyan N. Ramamurthy Flavio du Pin Calmon 184 18 0 31 May 2019
Overlearning Reveals Sensitive AttributesInternational Conference on Learning Representations (ICLR), 2019 Congzheng Song Vitaly Shmatikov 243 170 0 28 May 2019
Unified Adversarial Invariance Ayush Jaiswal Yuehua Wu Wael AbdAlmageed Premkumar Natarajan CML 92 10 0 07 May 2019
Adversarial Invariant Feature Learning with Accuracy Constraint for Domain Generalization K. Akuzawa Yusuke Iwasawa Y. Matsuo OOD 168 89 0 29 Apr 2019
ZK-GanDef: A GAN based Zero Knowledge Adversarial Training Defense for Neural Networks Guanxiong Liu Issa M. Khalil Abdallah Khreishah AAML 95 18 0 17 Apr 2019
Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach P. Roy Vishnu Boddeti 118 109 0 11 Apr 2019
Adversarial Deep Learning in EEG Biometrics Ozan Özdenizci Ye Wang T. Koike-Akino Deniz Erdogmus 123 90 0 27 Mar 2019
GanDef: A GAN based Adversarial Training Defense for Neural Network Classifier Guanxiong Liu Issa M. Khalil Abdallah Khreishah GAN AAML 111 21 0 06 Mar 2019
A Domain Generalization Perspective on Listwise Context ModelingAAAI Conference on Artificial Intelligence (AAAI), 2019 Lin Zhu Yihong Chen Bowen He OOD 83 3 0 12 Feb 2019
Variation Network: Learning High-level Attributes for Controlled Input Manipulation Gaëtan Hadjeres Frank Nielsen 126 2 0 11 Jan 2019
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete Demonstrations of Algorithmic Effectiveness in the Machine Learning and Artificial Intelligence Literature Franz J. Király Bilal A. Mateen R. Sonabend 157 10 0 18 Dec 2018
A Survey of Unsupervised Deep Domain Adaptation Garrett Wilson D. Cook OOD 293 909 0 06 Dec 2018
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations Tianlu Wang Jieyu Zhao Mark Yatskar Kai-Wei Chang Vicente Ordonez FaML 315 17 0 20 Nov 2018
Adjusting for Confounding in Unsupervised Latent Representations of Images C. A. Glastonbury Michael Ferlaino C. Nellåker C. Lindgren SSL 96 4 0 15 Nov 2018
Unsupervised Adversarial InvarianceNeural Information Processing Systems (NeurIPS), 2018 Ayush Jaiswal Yue Wu Wael AbdAlmageed Premkumar Natarajan OOD CML 147 48 0 26 Sep 2018
Learning Invariances for Policy Generalization Rémi Tachet des Combes Philip Bachman H. V. Seijen 133 12 0 07 Sep 2018
Adversarial Removal of Demographic Attributes from Text Data Yanai Elazar Yoav Goldberg FaML 438 322 0 20 Aug 2018
GestureGAN for Hand Gesture-to-Gesture Translation in the Wild Hao Tang Wei Wang Dan Xu Yan Yan Andrii Zadaianchuk GAN SLR 140 93 0 14 Aug 2018
Privacy and Fairness in Recommender Systems via Adversarial Training of User Representations Yehezkel S. Resheff Yanai Elazar Shimon Shahar Oren Sar Shalom FaML 172 18 0 10 Jul 2018
Scrutinizing and De-Biasing Intuitive Physics with Neural Stethoscopes F. Fuchs Oliver Groth Adam R. Kosiorek Alex Bewley Markus Wulfmeier Andrea Vedaldi Ingmar Posner 205 9 0 14 Jun 2018
Invariant Representations without Adversarial Training Daniel Moyer Shuyang Gao Rob Brekelmans Greg Ver Steeg Aram Galstyan OOD 271 230 0 24 May 2018
Invariant Representations from Adversarially Censored Autoencoders Ye Wang T. Koike-Akino Deniz Erdogmus CML 104 21 0 21 May 2018
Learning to Collaborate for User-Controlled Privacy Martín Bertrán Natalia Martínez Afroditi Papadaki Qiang Qiu M. Rodrigues Guillermo Sapiro 91 1 0 18 May 2018
Style Obfuscation by Invariance Chris Emmery E. M. Arévalo Grzegorz Chrupała 115 25 0 18 May 2018
Unsupervised Machine Translation Using Monolingual Corpora Only Guillaume Lample Alexis Conneau Ludovic Denoyer MarcÁurelio Ranzato SSL 373 1,125 0 31 Oct 2017
Adversarial Discriminative Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2017 Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell GAN OOD 668 5,004 0 17 Feb 2017