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Disentangling by Factorising

16 February 2018

Papers citing "Disentangling by Factorising"

50 / 790 papers shown

Title
Disentangled Representation Learning with Wasserstein Total Correlation Yijun Xiao William Yang Wang OOD DRL 65 12 0 30 Dec 2019
Learning Representations by Maximizing Mutual Information in Variational Autoencoders Ali Lotfi-Rezaabad S. Vishwanath DRL SSL 50 40 0 21 Dec 2019
Variational Learning with Disentanglement-PyTorch A. Abdi Purang Abolmaesumi S. Fels UD OOD DRL 46 9 0 11 Dec 2019
MaskAAE: Latent space optimization for Adversarial Auto-Encoders A. Mondal Sankalan Pal Chowdhury Aravind Jayendran Parag Singla Himanshu Asnani P. PrathoshA. GAN DRL 17 0 0 10 Dec 2019
Learning Disentangled Representations via Mutual Information Estimation E. Sanchez M. Serrurier M. Ortner SSL DRL 93 96 0 09 Dec 2019
No Representation without Transformation Giorgio Giannone Saeed Saremi Jonathan Masci Christian Osendorfer BDL DRL 40 2 0 09 Dec 2019
Probabilistically-autoencoded horseshoe-disentangled multidomain item-response theory models Joshua C. Chang Shashaank Vattikuti Carson C. Chow 46 6 0 05 Dec 2019
Disentanglement Challenge: From Regularization to Reconstruction Jie Qiao Zijian Li Boyan Xu Ruichu Cai Kun Zhang DRL 29 2 0 30 Nov 2019
Zero-Shot Sketch-Based Image Retrieval with Structure-aware Asymmetric Disentanglement Jiangtong Li Zhixin Ling Li Niu Liqing Zhang 66 6 0 29 Nov 2019
A Preliminary Study of Disentanglement With Insights on the Inadequacy of Metrics A. Abdi Purang Abolmaesumi S. Fels CoGe DRL 115 6 0 26 Nov 2019
Independence Promoted Graph Disentangled Networks Yanbei Liu Tianlin Li Shu Wu Zhitao Xiao 87 96 0 26 Nov 2019
Towards Better Understanding of Disentangled Representations via Mutual Information Xiaojiang Yang Wendong Bi Yitong Sun Yu Cheng Junchi Yan CML CoGe DRL 18 1 0 25 Nov 2019
Improving VAE generations of multimodal data through data-dependent conditional priors Frantzeska Lavda Magda Gregorova Alexandros Kalousis 29 4 0 25 Nov 2019
dpVAEs: Fixing Sample Generation for Regularized VAEs Riddhish Bhalodia Iain Lee Shireen Y. Elhabian DRL 126 10 0 24 Nov 2019
Estimation of Orientation and Camera Parameters from Cryo-Electron Microscopy Images with Variational Autoencoders and Generative Adversarial Networks Nina Miolane Frédéric Poitevin Yee-Ting Li S. Holmes 3DV 103 23 0 19 Nov 2019
Jointly De-biasing Face Recognition and Demographic Attribute Estimation Sixue Gong Xiaoming Liu Anil K. Jain CML 102 27 0 19 Nov 2019
Towards Visually Explaining Variational Autoencoders Wenqian Liu Runze Li Meng Zheng Srikrishna Karanam Ziyan Wu B. Bhanu Richard J. Radke Mario Sznaier 173 219 0 18 Nov 2019
Gated Variational AutoEncoders: Incorporating Weak Supervision to Encourage Disentanglement M. Vowels Necati Cihan Camgöz Richard Bowden CoGe DRL 66 9 0 15 Nov 2019
Double cycle-consistent generative adversarial network for unsupervised conditional generation Fei Ding Feng Luo Yin Yang SyDa AI4CE 54 10 0 13 Nov 2019
Rate-Regularization and Generalization in VAEs Alican Bozkurt Babak Esmaeili Jean-Baptiste Tristan Dana H. Brooks Jennifer G. Dy Jan-Willem van de Meent DRL 77 8 0 11 Nov 2019
Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders Yu Duan Canwen Xu Jiaxin Pei Jialong Han Chenliang Li 142 43 0 10 Nov 2019
Learning Disentangled Representations for Recommendation Jianxin Ma Chang Zhou Peng Cui Hongxia Yang Wenwu Zhu CML DRL 94 310 0 31 Oct 2019
Weakly Supervised Disentanglement with Guarantees Rui Shu Yining Chen Abhishek Kumar Stefano Ermon Ben Poole CoGe DRL 132 139 0 22 Oct 2019
Contextual Joint Factor Acoustic Embeddings Yanpei Shi Thomas Hain 45 3 0 16 Oct 2019
Robust Ordinal VAE: Employing Noisy Pairwise Comparisons for Disentanglement Junxiang Chen Kayhan Batmanghelich CoGe DRL 37 9 0 14 Oct 2019
Disentangling Interpretable Generative Parameters of Random and Real-World Graphs Niklas Stoehr Emine Yilmaz Marc Brockschmidt Jan Stuehmer BDL CML DRL 70 14 0 12 Oct 2019
Rate-Distortion Optimization Guided Autoencoder for Isometric Embedding in Euclidean Latent Space Keizo Kato Jing Zhou Tomotake Sasaki Akira Nakagawa DRL 37 0 0 10 Oct 2019
Semi-Supervised Generative Modeling for Controllable Speech Synthesis Raza Habib Soroosh Mariooryad Matt Shannon Eric Battenberg RJ Skerry-Ryan Daisy Stanton David Kao Tom Bagby BDL 68 48 0 03 Oct 2019
Learning Calibratable Policies using Programmatic Style-Consistency Eric Zhan Albert Tseng Yisong Yue Adith Swaminathan Matthew J. Hausknecht 72 18 0 02 Oct 2019
Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced Data Utkarsh Ojha Krishna Kumar Singh Cho-Jui Hsieh Yong Jae Lee DRL 47 3 0 01 Oct 2019
Equivariant Hamiltonian Flows Danilo Jimenez Rezende S. Racanière I. Higgins Peter Toth 91 64 0 30 Sep 2019
Identifying through Flows for Recovering Latent Representations Shen Li Bryan Hooi Gim Hee Lee DRL OOD 106 14 0 27 Sep 2019
Probabilistic Forecasting using Deep Generative Models A. Fanfarillo B. Roozitalab Weiming Hu G. Cervone 34 17 0 26 Sep 2019
LAVAE: Disentangling Location and Appearance Andrea Dittadi Ole Winther OCL BDL DRL 144 6 0 25 Sep 2019
Disentangling to Cluster: Gaussian Mixture Variational Ladder Autoencoders M. Willetts Stephen J. Roberts Chris Holmes CoGe DRL 62 16 0 25 Sep 2019
Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations Rogerio Bonatti Ratnesh Madaan Vibhav Vineet Sebastian Scherer Ashish Kapoor SSL 66 41 0 16 Sep 2019
Novel tracking approach based on fully-unsupervised disentanglement of the geometrical factors of variation M. Vladymyrov A. Ariga DRL 16 1 0 10 Sep 2019
Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement Minyoung Kim Yuting Wang Pritish Sahu Vladimir Pavlovic CoGe BDL CML DRL 80 26 0 06 Sep 2019
Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations Jan Stühmer Richard Turner Sebastian Nowozin DRL BDL CoGe 189 25 0 05 Sep 2019
Improving Disentangled Representation Learning with the Beta Bernoulli Process P. Gyawali Zhiyuan Li Cameron Knight S. Ghimire B. Horácek J. Sapp Linwei Wang CML CoGe DRL 66 12 0 03 Sep 2019
Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures Jordan Hoffmann Louis Maestrati Yoshihide Sawada Jian Tang Jean Michel D. Sellier Yoshua Bengio DiffM 3DV 96 67 0 03 Sep 2019
Theory and Evaluation Metrics for Learning Disentangled Representations Kien Do T. Tran CoGe DRL 76 96 0 26 Aug 2019
Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound Qingjie Meng Nick Pawlowski Daniel Rueckert Bernhard Kainz OOD DRL 53 14 0 21 Aug 2019
Salient Speech Representations Based on Cloned Networks W. Kleijn Felicia S. C. Lim Michael Chinen Jan Skoglund 16 3 0 19 Aug 2019
Intrinsically Motivated Discovery of Diverse Patterns in Self-Organizing Systems Chris Reinke Mayalen Etcheverry Pierre-Yves Oudeyer 88 27 0 19 Aug 2019
Geometric Disentanglement for Generative Latent Shape Models Tristan Aumentado-Armstrong Stavros Tsogkas Allan D. Jepson Sven J. Dickinson DRL 82 56 0 18 Aug 2019
Learning-Aided Physical Layer Attacks Against Multicarrier Communications in IoT Alireza Nooraiepour W. Bajwa N. Mandayam AAML 15 8 0 01 Aug 2019
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization Fan-Yun Sun Jordan Hoffmann Vikas Verma Jian Tang SSL 177 868 0 31 Jul 2019
Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning Ankita Shukla Sarthak Bhagat Shagun Uppal Saket Anand Pavan Turaga CML OOD DRL 71 23 0 22 Jul 2019
Counterfactual Reasoning for Fair Clinical Risk Prediction Stephen Pfohl Tony Duan D. Ding N. Shah OOD CML 71 58 0 14 Jul 2019