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Disentangling by Factorising

16 February 2018

Papers citing "Disentangling by Factorising"

50 / 790 papers shown

Title
Variational Autoencoders and Nonlinear ICA: A Unifying Framework Ilyes Khemakhem Diederik P. Kingma Ricardo Pio Monti Aapo Hyvarinen OOD 101 599 0 10 Jul 2019
Demystifying Inter-Class Disentanglement Aviv Gabbay Yedid Hoshen DRL 65 56 0 27 Jun 2019
Tuning-Free Disentanglement via Projection Yue Bai L. Duan 108 3 0 27 Jun 2019
InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs Zinan Lin K. K. Thekumparampil Giulia Fanti Sewoong Oh DRL 110 37 0 14 Jun 2019
Deep Music Analogy Via Latent Representation Disentanglement Ruihan Yang Dingsu Wang Ziyu Wang Tianyao Chen Junyan Jiang Gus Xia CoGe DRL 93 69 0 09 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 125 139 0 07 Jun 2019
Latent feature disentanglement for 3D meshes J. Levinson Avneesh Sud A. Makadia 3DV CoGe DRL 102 8 0 07 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 196 334 0 06 Jun 2019
Information Competing Process for Learning Diversified Representations Jie Hu Rongrong Ji Shengchuan Zhang Xiaoshuai Sun QiXiang Ye Chia-Wen Lin Q. Tian 193 14 0 04 Jun 2019
Weakly Supervised Disentanglement by Pairwise Similarities Junxiang Chen Kayhan Batmanghelich CoGe DRL 60 54 0 03 Jun 2019
Improving VAEs' Robustness to Adversarial Attack M. Willetts A. Camuto Tom Rainforth Stephen J. Roberts Chris Holmes DRL AAML 66 5 0 01 Jun 2019
On the Fairness of Disentangled Representations Francesco Locatello G. Abbati Tom Rainforth Stefan Bauer Bernhard Schölkopf Olivier Bachem FaML DRL 81 227 0 31 May 2019
Unsupervised Model Selection for Variational Disentangled Representation Learning Sunny Duan Loic Matthey Andre Saraiva Nicholas Watters Christopher P. Burgess Alexander Lerchner I. Higgins OOD DRL 96 80 0 29 May 2019
Are Disentangled Representations Helpful for Abstract Visual Reasoning? Sjoerd van Steenkiste Francesco Locatello Jürgen Schmidhuber Olivier Bachem 106 210 0 29 May 2019
Overlearning Reveals Sensitive Attributes Congzheng Song Vitaly Shmatikov 91 157 0 28 May 2019
Discrete Infomax Codes for Supervised Representation Learning Yoonho Lee Wonjae Kim Wonpyo Park Seungjin Choi 57 4 0 28 May 2019
Unsupervised Object Segmentation by Redrawing Mickaël Chen Thierry Artières Ludovic Denoyer 111 141 0 27 May 2019
A Plug-in Method for Representation Factorization in Connectionist Models Jee Seok Yoon Wonjun Ko Heung-Il Suk 50 1 0 27 May 2019
OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization Bingchen Liu Yizhe Zhu Zuohui Fu Gerard de Melo Ahmed Elgammal CML 115 43 0 26 May 2019
Not All Features Are Equal: Feature Leveling Deep Neural Networks for Better Interpretation Yingjing Lu Runde Yang MILM 36 2 0 24 May 2019
Learning Discrete and Continuous Factors of Data via Alternating Disentanglement Yeonwoo Jeong Hyun Oh Song 53 49 0 23 May 2019
On Variational Bounds of Mutual Information Ben Poole Sherjil Ozair Aaron van den Oord Alexander A. Alemi George Tucker SSL 135 816 0 16 May 2019
Flat Metric Minimization with Applications in Generative Modeling Thomas Möllenhoff Daniel Cremers 47 5 0 12 May 2019
Hierarchical Policy Learning is Sensitive to Goal Space Design Zach Dwiel Madhavun Candadai Mariano Phielipp Arjun K. Bansal 79 15 0 04 May 2019
Disentangling Factors of Variation Using Few Labels Francesco Locatello Michael Tschannen Stefan Bauer Gunnar Rätsch Bernhard Schölkopf Olivier Bachem DRL CML CoGe 103 124 0 03 May 2019
Learning Programmatically Structured Representations with Perceptor Gradients Svetlin Penkov S. Ramamoorthy 58 10 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 88 17 0 29 Apr 2019
Learning Interpretable Disentangled Representations using Adversarial VAEs Mhd Hasan Sarhan Abouzar Eslami Nassir Navab Shadi Albarqouni DRL OOD 133 21 0 17 Apr 2019
Exact Rate-Distortion in Autoencoders via Echo Noise Rob Brekelmans Daniel Moyer Aram Galstyan Greg Ver Steeg 59 17 0 15 Apr 2019
Variational AutoEncoder For Regression: Application to Brain Aging Analysis Qingyu Zhao Ehsan Adeli N. Honnorat Tuo Leng K. Pohl DRL BDL 88 85 0 11 Apr 2019
Feature-Based Interpolation and Geodesics in the Latent Spaces of Generative Models Lukasz Struski M. Sadowski Tomasz Danel Jacek Tabor Igor T. Podolak DiffM 85 7 0 06 Apr 2019
Variational Adversarial Active Learning Samarth Sinha Sayna Ebrahimi Trevor Darrell GAN DRL VLM SSL 140 580 0 31 Mar 2019
Wasserstein Dependency Measure for Representation Learning Sherjil Ozair Corey Lynch Yoshua Bengio Aaron van den Oord Sergey Levine P. Sermanet SSL DRL 146 119 0 28 Mar 2019
Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods Guo-Jun Qi Jiebo Luo SSL 61 246 0 27 Mar 2019
Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing Hao Fu Chunyuan Li Xiaodong Liu Jianfeng Gao Asli Celikyilmaz Lawrence Carin ODL 85 368 0 25 Mar 2019
Disentangled Representation Learning in Cardiac Image Analysis A. Chartsias T. Joyce G. Papanastasiou M. Williams D. Newby R. Dharmakumar Sotirios A. Tsaftaris DRL 138 128 0 22 Mar 2019
Unsupervised and interpretable scene discovery with Discrete-Attend-Infer-Repeat Duo Wang M. Jamnik Pietro Lio BDL OCL 113 5 0 14 Mar 2019
Multi-Object Representation Learning with Iterative Variational Inference Klaus Greff Raphael Lopez Kaufman Rishabh Kabra Nicholas Watters Christopher P. Burgess Daniel Zoran Loic Matthey M. Botvinick Alexander Lerchner OCL SSL 106 510 0 01 Mar 2019
Non-linear ICA based on Cramer-Wold metric Przemysław Spurek A. Nowak Jacek Tabor Lukasz Maziarka Stanislaw Jastrzebski CML 17 5 0 01 Mar 2019
FAVAE: Sequence Disentanglement using Information Bottleneck Principle Masanori Yamada Heecheol Kim Kosuke Miyoshi Hiroshi Yamakawa CML DRL CoGe 28 4 0 22 Feb 2019
Contrastive Variational Autoencoder Enhances Salient Features Abubakar Abid James Zou DRL 74 65 0 12 Feb 2019
Relevance Factor VAE: Learning and Identifying Disentangled Factors Minyoung Kim Yuting Wang Pritish Sahu Vladimir Pavlovic CoGe CML DRL 83 40 0 05 Feb 2019
Disentangling and Learning Robust Representations with Natural Clustering Javier Antorán A. Miguel CoGe OOD CML DRL 65 19 0 27 Jan 2019
Learning Disentangled Representations with Reference-Based Variational Autoencoders Adria Ruiz Oriol Martínez Xavier Binefa Jakob Verbeek OOD CoGe DRL 46 27 0 24 Jan 2019
Recurrent Neural Filters: Learning Independent Bayesian Filtering Steps for Time Series Prediction Bryan Lim S. Zohren Stephen J. Roberts BDL AI4TS 61 40 0 23 Jan 2019
Composition and decomposition of GANs Yeu-Chern Harn Zhenghao Chen V. Jojic CoGe GAN 34 0 0 23 Jan 2019
MONet: Unsupervised Scene Decomposition and Representation Christopher P. Burgess Loic Matthey Nicholas Watters Rishabh Kabra I. Higgins M. Botvinick Alexander Lerchner OCL 119 531 0 22 Jan 2019
Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs Nicholas Watters Loic Matthey Christopher P. Burgess Alexander Lerchner CoGe 107 169 0 21 Jan 2019
Sampling Using Neural Networks for colorizing the grayscale images Wonbong Jang GAN DiffM 38 1 0 27 Dec 2018
A Factorial Mixture Prior for Compositional Deep Generative Models Ulrich Paquet Sumedh Ghaisas O. Tieleman CoGe 32 1 0 18 Dec 2018