Disentangling factors of variation in deep representations using adversarial training

10 November 2016

Papers citing "Disentangling factors of variation in deep representations using adversarial training"

50 / 263 papers shown

Title
Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning Ankita Shukla Sarthak Bhagat Shagun Uppal Saket Anand P. Turaga CML OOD DRL 17 23 0 22 Jul 2019
Unsupervised Domain Alignment to Mitigate Low Level Dataset Biases K. Sivamani 14 1 0 08 Jul 2019
General Control Functions for Causal Effect Estimation from Instrumental Variables A. Puli Rajesh Ranganath CML 21 4 0 08 Jul 2019
Demystifying Inter-Class Disentanglement Aviv Gabbay Yedid Hoshen DRL 16 56 0 27 Jun 2019
A Cyclically-Trained Adversarial Network for Invariant Representation Learning Jiawei Chen Janusz Konrad Prakash Ishwar AAML GAN OOD 6 8 0 21 Jun 2019
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset Muhammad Waleed Gondal Manuel Wüthrich Ðorðe Miladinovic Francesco Locatello M. Breidt V. Volchkov J. Akpo Olivier Bachem Bernhard Schölkopf Stefan Bauer OOD DRL 33 133 0 07 Jun 2019
Latent feature disentanglement for 3D meshes J. Levinson Avneesh Sud A. Makadia 3DV CoGe DRL 13 8 0 07 Jun 2019
DualDis: Dual-Branch Disentangling with Adversarial Learning Thomas Robert Nicolas Thome Matthieu Cord CoGe DRL 25 4 0 03 Jun 2019
On the Fairness of Disentangled Representations Francesco Locatello G. Abbati Tom Rainforth Stefan Bauer Bernhard Schölkopf Olivier Bachem FaML DRL 15 227 0 31 May 2019
Are Disentangled Representations Helpful for Abstract Visual Reasoning? Sjoerd van Steenkiste Francesco Locatello Jürgen Schmidhuber Olivier Bachem 18 208 0 29 May 2019
Unsupervised Object Segmentation by Redrawing Mickaël Chen Thierry Artières Ludovic Denoyer 27 141 0 27 May 2019
Disentangling Style and Content in Anime Illustrations Sitao Xiang Hao Li GAN DRL 23 8 0 26 May 2019
Compositional Fairness Constraints for Graph Embeddings A. Bose William L. Hamilton FaML 20 255 0 25 May 2019
An Interactive Insight Identification and Annotation Framework for Power Grid Pixel Maps using DenseU-Hierarchical VAE Tianye Zhang H. Feng Zexian Chen Can Wang Yanhao Huang Yong Tang Wei Chen 16 1 0 22 May 2019
Flat Metric Minimization with Applications in Generative Modeling Thomas Möllenhoff Daniel Cremers 17 5 0 12 May 2019
Disentangling Content and Style via Unsupervised Geometry Distillation Wayne Wu Kaidi Cao Cheng Li Chao Qian Chen Change Loy DRL 8 17 0 11 May 2019
Multi-class Novelty Detection Using Mix-up Technique Supritam Bhattacharjee Devraj Mandal Soma Biswas 25 14 0 11 May 2019
Towards Instance-level Image-to-Image Translation Zhiqiang Shen Mingyang Huang Jianping Shi Xiangyang Xue Thomas Huang 36 102 0 05 May 2019
Disentangling Factors of Variation Using Few Labels Francesco Locatello Michael Tschannen Stefan Bauer Gunnar Rätsch Bernhard Schölkopf Olivier Bachem DRL CML CoGe 29 123 0 03 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 23 784 0 02 May 2019
Attribute Guided Unpaired Image-to-Image Translation with Semi-supervised Learning Xinyang Li Jie Hu Shengchuan Zhang Xiaopeng Hong QiXiang Ye Chenglin Wu Rongrong Ji 26 17 0 29 Apr 2019
Domain Agnostic Learning with Disentangled Representations Xingchao Peng Zijun Huang Ximeng Sun Kate Saenko OOD DRL 18 258 0 28 Apr 2019
Disentangling Pose from Appearance in Monochrome Hand Images Yikang Li Christopher D. Twigg Yuting Ye Lingling Tao Xiaogang Wang 3DH 14 4 0 16 Apr 2019
Attentive Action and Context Factorization Yanjie Wang Vinh Tran Gedas Bertasius Lorenzo Torresani Minh Hoai 14 6 0 10 Apr 2019
Adversarial Learning of Disentangled and Generalizable Representations for Visual Attributes James Oldfield Yannis Panagakis M. Nicolaou DRL OOD 17 6 0 09 Apr 2019
Conditional Adversarial Generative Flow for Controllable Image Synthesis R. Liu Yu Liu Xinyu Gong Xiaogang Wang Hongsheng Li 24 45 0 03 Apr 2019
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations Mingda Chen Qingming Tang Sam Wiseman Kevin Gimpel DRL 23 76 0 02 Apr 2019
Disentangled Representation Learning in Cardiac Image Analysis A. Chartsias T. Joyce G. Papanastasiou M. Williams D. Newby R. Dharmakumar Sotirios A. Tsaftaris DRL 17 126 0 22 Mar 2019
Mix and match networks: cross-modal alignment for zero-pair image-to-image translation Yaxing Wang Luis Herranz Joost van de Weijer 21 4 0 08 Mar 2019
Geometry of Deep Generative Models for Disentangled Representations Ankita Shukla Shagun Uppal Sarthak Bhagat Saket Anand P. Turaga DRL 11 16 0 19 Feb 2019
Adversarially Approximated Autoencoder for Image Generation and Manipulation Wenju Xu Shawn Keshmiri Guanghui Wang GAN 29 72 0 14 Feb 2019
A Decoupled 3D Facial Shape Model by Adversarial Training Victoria Fernandez-Abrevaya A. Boukhayma Stefanie Wuhrer Edmond Boyer 3DH CVBM 17 9 0 10 Feb 2019
Relevance Factor VAE: Learning and Identifying Disentangled Factors Minyoung Kim Yuting Wang Pritish Sahu Vladimir Pavlovic CoGe CML DRL 21 39 0 05 Feb 2019
Cross-Domain Image Manipulation by Demonstration Ben Usman Nick Dufour Kate Saenko C. Bregler 3DH CVBM 9 1 0 28 Jan 2019
Learning Independently-Obtainable Reward Functions Christopher Grimm Satinder Singh 9 4 0 24 Jan 2019
Learning Disentangled Representations with Reference-Based Variational Autoencoders Adria Ruiz Oriol Martínez Xavier Binefa Jakob Verbeek OOD CoGe DRL 11 26 0 24 Jan 2019
Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions Zhilin Zheng Li Sun CML CoGe DRL 18 46 0 22 Dec 2018
Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders Ozan Özdenizci Ye Wang T. Koike-Akino Deniz Erdogmus OOD DRL 18 59 0 17 Dec 2018
Attending Category Disentangled Global Context for Image Classification Keke Tang Guodong Wei Runnan Chen Jie Zhu Zhaoquan Gu Wenping Wang 17 0 0 17 Dec 2018
Learning Latent Subspaces in Variational Autoencoders Jack Klys Jake C. Snell R. Zemel SSL DRL 11 139 0 14 Dec 2018
Recent Advances in Autoencoder-Based Representation Learning Michael Tschannen Olivier Bachem Mario Lucic OOD SSL DRL 12 440 0 12 Dec 2018
Counterfactuals uncover the modular structure of deep generative models M. Besserve Arash Mehrjou Rémy Sun Bernhard Schölkopf DRL BDL DiffM 19 107 0 08 Dec 2018
Rare Event Detection using Disentangled Representation Learning Ryuhei Hamaguchi Ken Sakurada Ryosuke Nakamura DRL 20 35 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 11 1,445 0 29 Nov 2018
Attacks on State-of-the-Art Face Recognition using Attentional Adversarial Attack Generative Network Q. Song Yingqi Wu Lu Yang AAML CVBM GAN 16 96 0 29 Nov 2018
Image Generation from Layout Bo Zhao Lili Meng Weidong Yin Leonid Sigal 19 208 0 28 Nov 2018
Class-Distinct and Class-Mutual Image Generation with GANs Takuhiro Kaneko Yoshitaka Ushiku Tatsuya Harada 14 9 0 27 Nov 2018
Unsupervised 3D Shape Learning from Image Collections in the Wild Attila Szabó Paolo Favaro 3DH 3DV 11 6 0 26 Nov 2018
Learning Disentangled Representations for Timber and Pitch in Music Audio Yun-Ning Hung Yian Chen Yi-Hsuan Yang 17 16 0 08 Nov 2018
Evolvement Constrained Adversarial Learning for Video Style Transfer Wenbo Li Longyin Wen Xiao Bian Siwei Lyu GAN 19 5 0 06 Nov 2018