NestedVAE: Isolating Common Factors via Weak Supervision

26 February 2020

Papers citing "NestedVAE: Isolating Common Factors via Weak Supervision"

50 / 74 papers shown

Title
Differential Adjusted Parity for Learning Fair Representations Bucher Sahyouni Matthew Vowels Liqun Chen Simon Hadfield FaML 128 0 0 13 Feb 2025
Symbolic Disentangled Representations for Images Alexandr Korchemnyi A. Kovalev Aleksandr I. Panov OCL 89 0 0 31 Dec 2024
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 211 30,089 0 01 Mar 2022
Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer Ori Press Tomer Galanti Sagie Benaim Lior Wolf 47 48 0 14 Jan 2020
Gated Variational AutoEncoders: Incorporating Weak Supervision to Encourage Disentanglement M. Vowels Necati Cihan Camgöz Richard Bowden CoGe DRL 35 9 0 15 Nov 2019
Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods Dylan Slack Sophie Hilgard Emily Jia Sameer Singh Himabindu Lakkaraju FAtt AAML MLAU 63 814 0 06 Nov 2019
Toward Gender-Inclusive Coreference Resolution Yang Trista Cao Hal Daumé 56 143 0 30 Oct 2019
Leveraging directed causal discovery to detect latent common causes Ciarán M. Gilligan-Lee Chris Hart Jonathan G. Richens Saurabh Johri CML 52 16 0 22 Oct 2019
Weakly Supervised Disentanglement with Guarantees Rui Shu Yining Chen Abhishek Kumar Stefano Ermon Ben Poole CoGe DRL 100 137 0 22 Oct 2019
Does Gender Matter? Towards Fairness in Dialogue Systems Haochen Liu Jamell Dacon Wenqi Fan Hui Liu Zitao Liu Jiliang Tang 114 144 0 16 Oct 2019
Robust Ordinal VAE: Employing Noisy Pairwise Comparisons for Disentanglement Junxiang Chen Kayhan Batmanghelich CoGe DRL 19 9 0 14 Oct 2019
Optimal Training of Fair Predictive Models Razieh Nabi Daniel Malinsky I. Shpitser 42 14 0 09 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 50 17 0 08 Oct 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 512 4,323 0 23 Aug 2019
Demystifying Inter-Class Disentanglement Aviv Gabbay Yedid Hoshen DRL 36 56 0 27 Jun 2019
Flexibly Fair Representation Learning by Disentanglement Elliot Creager David Madras J. Jacobsen Marissa A. Weis Kevin Swersky T. Pitassi R. Zemel FaML OOD 153 332 0 06 Jun 2019
Weakly Supervised Disentanglement by Pairwise Similarities Junxiang Chen Kayhan Batmanghelich CoGe DRL 37 53 0 03 Jun 2019
On the Fairness of Disentangled Representations Francesco Locatello G. Abbati Tom Rainforth Stefan Bauer Bernhard Schölkopf Olivier Bachem FaML DRL 64 226 0 31 May 2019
DIVA: Domain Invariant Variational Autoencoders Maximilian Ilse Jakub M. Tomczak Christos Louizos Max Welling DRL OOD 63 201 0 24 May 2019
DRIT++: Diverse Image-to-Image Translation via Disentangled Representations Hsin-Ying Lee Hung-Yu Tseng Qi Mao Jia-Bin Huang Yu-Ding Lu Maneesh Kumar Singh Ming-Hsuan Yang DRL 74 782 0 02 May 2019
Learning Robust Representations by Projecting Superficial Statistics Out Haohan Wang Zexue He Zachary Chase Lipton Eric Xing OOD 61 235 0 02 Mar 2019
PuVAE: A Variational Autoencoder to Purify Adversarial Examples Uiwon Hwang Jaewoo Park Hyemi Jang Sungroh Yoon N. Cho AAML 44 77 0 02 Mar 2019
Contrastive Variational Autoencoder Enhances Salient Features Abubakar Abid James Zou DRL 47 64 0 12 Feb 2019
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms Yoshua Bengio T. Deleu Nasim Rahaman Nan Rosemary Ke Sébastien Lachapelle O. Bilaniuk Anirudh Goyal C. Pal CML OOD 91 334 0 30 Jan 2019
Diversity in Faces Michele Merler Nalini Ratha Rogerio Feris John R. Smith 47 183 0 29 Jan 2019
Learning Disentangled Representations with Reference-Based Variational Autoencoders Adria Ruiz Oriol Martínez Xavier Binefa Jakob Verbeek OOD CoGe DRL 36 26 0 24 Jan 2019
Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions Zhilin Zheng Li Sun CML CoGe DRL 37 48 0 22 Dec 2018
Learning Latent Subspaces in Variational Autoencoders Jack Klys Jake C. Snell R. Zemel SSL DRL 111 139 0 14 Dec 2018
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 237 754 0 13 Dec 2018
Recent Advances in Autoencoder-Based Representation Learning Michael Tschannen Olivier Bachem Mario Lucic OOD SSL DRL 64 443 0 12 Dec 2018
Rare Event Detection using Disentangled Representation Learning Ryuhei Hamaguchi Ken Sakurada Ryosuke Nakamura DRL 40 36 0 04 Dec 2018
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 107 1,463 0 29 Nov 2018
Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness Raphael Suter Ðorðe Miladinovic Bernhard Schölkopf Stefan Bauer CML OOD DRL 105 162 0 31 Oct 2018
Diverse Image-to-Image Translation via Disentangled Representations Hsin-Ying Lee Hung-Yu Tseng Jia-Bin Huang M. Singh Ming-Hsuan Yang DRL 57 907 0 02 Aug 2018
Dual Swap Disentangling Zunlei Feng Xinchao Wang Chenglong Ke Anxiang Zeng Dacheng Tao Xiuming Zhang 30 44 0 27 May 2018
Invariant Representations without Adversarial Training Daniel Moyer Shuyang Gao Rob Brekelmans Greg Ver Steeg Aram Galstyan OOD 49 210 0 24 May 2018
Generalizing Across Domains via Cross-Gradient Training Shiv Shankar Vihari Piratla Soumen Chakrabarti S. Chaudhuri Preethi Jyothi Sunita Sarawagi OOD 46 513 0 28 Apr 2018
Disentangling Factors of Variation with Cycle-Consistent Variational Auto-Encoders A. Jha Saket Anand Maneesh Kumar Singh V. Veeravasarapu CoGe DRL 58 127 0 27 Apr 2018
Understanding disentangling in $β$ -VAE Christopher P. Burgess I. Higgins Arka Pal Loic Matthey Nicholas Watters Guillaume Desjardins Alexander Lerchner CoGe DRL 54 830 0 10 Apr 2018
Leveraging the Exact Likelihood of Deep Latent Variable Models Pierre-Alexandre Mattei J. Frellsen DRL 35 67 0 13 Feb 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes John Healy James Melville 148 9,383 0 09 Feb 2018
Clustering and Unsupervised Anomaly Detection with L2 Normalized Deep Auto-Encoder Representations Çağlar Aytekin Xingyang Ni Francesco Cricri Emre B. Aksu SSL UQCV 49 146 0 01 Feb 2018
Auxiliary Guided Autoregressive Variational Autoencoders Thomas Lucas Jakob Verbeek GAN DRL 57 20 0 30 Nov 2017
JADE: Joint Autoencoders for Dis-Entanglement Ershad Banijamali Amir-Hossein Karimi A. Wong A. Ghodsi CoGe DRL 41 15 0 24 Nov 2017
Challenges in Disentangling Independent Factors of Variation Attila Szabó Qiyang Hu Tiziano Portenier Matthias Zwicker Paolo Favaro DRL CoGe 49 52 0 07 Nov 2017
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations Abhishek Kumar P. Sattigeri Avinash Balakrishnan BDL DRL 74 521 0 02 Nov 2017
Fixing a Broken ELBO Alexander A. Alemi Ben Poole Ian S. Fischer Joshua V. Dillon Rif A. Saurous Kevin Patrick Murphy DRL BDL 55 80 0 01 Nov 2017
A Two-Step Disentanglement Method Naama Hadad Lior Wolf Shimon Shahar 53 80 0 01 Sep 2017
InfoVAE: Information Maximizing Variational Autoencoders Shengjia Zhao Jiaming Song Stefano Ermon DRL 79 444 0 07 Jun 2017
Emergence of Invariance and Disentanglement in Deep Representations Alessandro Achille Stefano Soatto OOD DRL 82 476 0 05 Jun 2017