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Learning Disentangled Joint Continuous and Discrete Representations

31 March 2018

Papers citing "Learning Disentangled Joint Continuous and Discrete Representations"

29 / 129 papers shown

Title
Goal-Conditioned Variational Autoencoder Trajectory Primitives with Continuous and Discrete Latent Codes Takayuki Osa Shuhei Ikemoto DRL 176 3 0 09 Dec 2019
Zero-Shot Sketch-Based Image Retrieval with Structure-aware Asymmetric Disentanglement Jiangtong Li Zhixin Ling Li Niu Liqing Zhang 174 6 0 29 Nov 2019
Improving VAE generations of multimodal data through data-dependent conditional priorsEuropean Conference on Artificial Intelligence (ECAI), 2019 Frantzeska Lavda Magda Gregorova Alexandros Kalousis 115 6 0 25 Nov 2019
Double cycle-consistent generative adversarial network for unsupervised conditional generationInternational Conference on Information Photonics (ICIP), 2019 Fei Ding Feng Luo Yin Yang SyDa AI4CE 112 10 0 13 Nov 2019
Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-EncodersAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 Yu Duan Canwen Xu Jiaxin Pei Jialong Han Chenliang Li 506 45 0 10 Nov 2019
Learning Disentangled Representations for RecommendationNeural Information Processing Systems (NeurIPS), 2019 Jianxin Ma Chang Zhou Peng Cui Hongxia Yang Wenwu Zhu CML DRL 219 360 0 31 Oct 2019
Mixture factorized auto-encoder for unsupervised hierarchical deep factorization of speech signalIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019 Zhiyuan Peng Siyuan Feng Tan Lee 159 6 0 30 Oct 2019
Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced DataNeural Information Processing Systems (NeurIPS), 2019 Utkarsh Ojha Krishna Kumar Singh Cho-Jui Hsieh Yong Jae Lee DRL 168 3 0 01 Oct 2019
Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor DisentanglementIEEE International Conference on Computer Vision (ICCV), 2019 Minyoung Kim Yuting Wang Pritish Sahu Vladimir Pavlovic CoGe BDL CML DRL 165 27 0 06 Sep 2019
Transferability and Hardness of Supervised Classification TasksIEEE International Conference on Computer Vision (ICCV), 2019 Anh Tran Cuong V Nguyen Tal Hassner 330 191 0 21 Aug 2019
Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Yang Hu Giovanni Montana 125 6 0 14 Aug 2019
Differentiable Disentanglement Filter: an Application Agnostic Core Concept Discovery Probe Guntis Barzdins Eduards Sidorovics 53 0 0 17 Jul 2019
InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANsInternational Conference on Machine Learning (ICML), 2019 Zinan Lin K. K. Thekumparampil Giulia Fanti Sewoong Oh DRL 242 37 0 14 Jun 2019
DualDis: Dual-Branch Disentangling with Adversarial Learning Thomas Robert Nicolas Thome Matthieu Cord CoGe DRL 136 4 0 03 Jun 2019
OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal RegularizationAAAI Conference on Artificial Intelligence (AAAI), 2019 Bingchen Liu Yizhe Zhu Zuohui Fu Gerard de Melo Ahmed Elgammal CML 258 42 0 26 May 2019
Learning Discrete and Continuous Factors of Data via Alternating DisentanglementInternational Conference on Machine Learning (ICML), 2019 Yeonwoo Jeong Hyun Oh Song 93 50 0 23 May 2019
Disentangling Content and Style via Unsupervised Geometry Distillation Wayne Wu Kaidi Cao Cheng Li Chao Qian Chen Change Loy DRL 140 17 0 11 May 2019
Distributed generation of privacy preserving data with user customization Xiao Chen Thomas Navidi Stefano Ermon Ram Rajagopal 150 11 0 20 Apr 2019
TzK: Flow-Based Conditional Generative Model M. Livne David Fleet VLM DRL AI4CE 98 0 0 05 Feb 2019
Relevance Factor VAE: Learning and Identifying Disentangled Factors Minyoung Kim Yuting Wang Pritish Sahu Vladimir Pavlovic CoGe CML DRL 381 45 0 05 Feb 2019
Disentangling and Learning Robust Representations with Natural Clustering Javier Antorán A. Miguel CoGe OOD CML DRL 187 19 0 27 Jan 2019
Recent Advances in Autoencoder-Based Representation Learning Michael Tschannen Olivier Bachem Mario Lucic OOD SSL DRL 193 482 0 12 Dec 2018
Interpretable Neuron Structuring with Graph Spectral Regularization Alexander Tong David van Dijk Jay S. Stanley Matthew Amodio Kristina M. Yim R. Muhle J. Noonan Guy Wolf Smita Krishnaswamy 219 6 0 30 Sep 2018
Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation LearningJournal of machine learning research (JMLR), 2018 Daniel Coelho De Castro Jeremy Tan Bernhard Kainz E. Konukoglu Ben Glocker DRL 261 86 0 27 Sep 2018
InfoCatVAE: Representation Learning with Categorical Variational Autoencoders Edouard Pineau Marc Lelarge DRL 124 15 0 20 Jun 2018
Dual Swap Disentangling Zunlei Feng Xinchao Wang Chenglong Ke Anxiang Zeng Dacheng Tao Xiuming Zhang 220 44 0 27 May 2018
Disentangling Controllable and Uncontrollable Factors of Variation by Interacting with the World Yoshihide Sawada DRL 167 10 0 19 Apr 2018
Structured Disentangled Representations Babak Esmaeili Hao Wu Sarthak Jain Alican Bozkurt N. Siddharth Brooks Paige Dana H. Brooks Jennifer Dy Jan-Willem van de Meent OOD CML BDL DRL 238 175 0 06 Apr 2018
Lifelong Generative Modeling Jason Ramapuram Magda Gregorova Alexandros Kalousis BDL CLL 425 128 0 27 May 2017