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1804.00104
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Learning Disentangled Joint Continuous and Discrete Representations
31 March 2018
Emilien Dupont
DRL
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Papers citing
"Learning Disentangled Joint Continuous and Discrete Representations"
29 / 129 papers shown
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
205
6
0
29 Nov 2019
Improving VAE generations of multimodal data through data-dependent conditional priors
European Conference on Artificial Intelligence (ECAI), 2019
Frantzeska Lavda
Magda Gregorova
Alexandros Kalousis
119
7
0
25 Nov 2019
Double cycle-consistent generative adversarial network for unsupervised conditional generation
International Conference on Information Photonics (ICIP), 2019
Fei Ding
Feng Luo
Yin Yang
SyDa
AI4CE
121
10
0
13 Nov 2019
Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders
Annual Meeting of the Association for Computational Linguistics (ACL), 2019
Yu Duan
Canwen Xu
Jiaxin Pei
Jialong Han
Chenliang Li
530
45
0
10 Nov 2019
Learning Disentangled Representations for Recommendation
Neural Information Processing Systems (NeurIPS), 2019
Jianxin Ma
Chang Zhou
Peng Cui
Hongxia Yang
Wenwu Zhu
CML
DRL
221
360
0
31 Oct 2019
Mixture factorized auto-encoder for unsupervised hierarchical deep factorization of speech signal
IEEE 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 Data
Neural Information Processing Systems (NeurIPS), 2019
Utkarsh Ojha
Krishna Kumar Singh
Cho-Jui Hsieh
Yong Jae Lee
DRL
176
3
0
01 Oct 2019
Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement
IEEE International Conference on Computer Vision (ICCV), 2019
Minyoung Kim
Yuting Wang
Pritish Sahu
Vladimir Pavlovic
CoGe
BDL
CML
DRL
180
29
0
06 Sep 2019
Transferability and Hardness of Supervised Classification Tasks
IEEE International Conference on Computer Vision (ICCV), 2019
Anh Tran
Cuong V Nguyen
Tal Hassner
369
191
0
21 Aug 2019
Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity
Yang Hu
Giovanni Montana
133
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 GANs
International Conference on Machine Learning (ICML), 2019
Zinan Lin
K. K. Thekumparampil
Giulia Fanti
Sewoong Oh
DRL
285
37
0
14 Jun 2019
DualDis: Dual-Branch Disentangling with Adversarial Learning
Thomas Robert
Nicolas Thome
Matthieu Cord
CoGe
DRL
159
4
0
03 Jun 2019
OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization
AAAI Conference on Artificial Intelligence (AAAI), 2019
Bingchen Liu
Yizhe Zhu
Zuohui Fu
Gerard de Melo
Ahmed Elgammal
CML
265
42
0
26 May 2019
Learning Discrete and Continuous Factors of Data via Alternating Disentanglement
International Conference on Machine Learning (ICML), 2019
Yeonwoo Jeong
Hyun Oh Song
105
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
106
0
0
05 Feb 2019
Relevance Factor VAE: Learning and Identifying Disentangled Factors
Minyoung Kim
Yuting Wang
Pritish Sahu
Vladimir Pavlovic
CoGe
CML
DRL
398
46
0
05 Feb 2019
Disentangling and Learning Robust Representations with Natural Clustering
Javier Antorán
A. Miguel
CoGe
OOD
CML
DRL
212
19
0
27 Jan 2019
Recent Advances in Autoencoder-Based Representation Learning
Michael Tschannen
Olivier Bachem
Mario Lucic
OOD
SSL
DRL
209
483
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
232
6
0
30 Sep 2018
Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning
Journal of machine learning research (JMLR), 2018
Daniel Coelho De Castro
Jeremy Tan
Bernhard Kainz
E. Konukoglu
Ben Glocker
DRL
266
86
0
27 Sep 2018
InfoCatVAE: Representation Learning with Categorical Variational Autoencoders
Edouard Pineau
Marc Lelarge
DRL
141
15
0
20 Jun 2018
Dual Swap Disentangling
Zunlei Feng
Xinchao Wang
Chenglong Ke
Anxiang Zeng
Dacheng Tao
Xiuming Zhang
228
44
0
27 May 2018
Disentangling Controllable and Uncontrollable Factors of Variation by Interacting with the World
Yoshihide Sawada
DRL
209
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
301
175
0
06 Apr 2018
Lifelong Generative Modeling
Jason Ramapuram
Magda Gregorova
Alexandros Kalousis
BDL
CLL
441
128
0
27 May 2017
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