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1611.02731
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Variational Lossy Autoencoder
8 November 2016
Xi Chen
Diederik P. Kingma
Tim Salimans
Yan Duan
Prafulla Dhariwal
John Schulman
Ilya Sutskever
Pieter Abbeel
DRL
SSL
GAN
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Papers citing
"Variational Lossy Autoencoder"
50 / 398 papers shown
Entropy optimized semi-supervised decomposed vector-quantized variational autoencoder model based on transfer learning for multiclass text classification and generation
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Vinay Kumar
A. K. Agarwal
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103
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0
10 Nov 2021
TopicNet: Semantic Graph-Guided Topic Discovery
Zhibin Duan
Yishi Xu
Bo Chen
Dongsheng Wang
Chaojie Wang
Mingyuan Zhou
BDL
198
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0
27 Oct 2021
Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Dazhong Shen
Chuan Qin
Chao Wang
Hengshu Zhu
Enhong Chen
Hui Xiong
UQCV
141
21
0
24 Oct 2021
Momentum Contrastive Autoencoder: Using Contrastive Learning for Latent Space Distribution Matching in WAE
Devansh Arpit
Aadyot Bhatnagar
Huan Wang
Caiming Xiong
146
1
0
19 Oct 2021
Nana-HDR: A Non-attentive Non-autoregressive Hybrid Model for TTS
Shilu Lin
Wenchao Su
Li Meng
Fenglong Xie
Xinhui Li
Li Lu
181
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0
28 Sep 2021
LDC-VAE: A Latent Distribution Consistency Approach to Variational AutoEncoders
Xiaoyu Chen
Chen Gong
Qiang He
Xinwen Hou
Yu Liu
203
2
0
22 Sep 2021
Fairness without the sensitive attribute via Causal Variational Autoencoder
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Vincent Grari
Sylvain Lamprier
Marcin Detyniecki
126
36
0
10 Sep 2021
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis
Patrick Esser
Robin Rombach
A. Blattmann
Bjorn Ommer
DiffM
231
177
0
19 Aug 2021
Personalized Trajectory Prediction via Distribution Discrimination
IEEE International Conference on Computer Vision (ICCV), 2021
Guangyi Chen
Junlong Li
Nuoxing Zhou
Liangliang Ren
Jiwen Lu
236
62
0
29 Jul 2021
Unsupervised Learning of Neurosymbolic Encoders
Eric Zhan
Jennifer J. Sun
Ann Kennedy
Yisong Yue
Swarat Chaudhuri
250
15
0
28 Jul 2021
ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE
Neural Information Processing Systems (NeurIPS), 2021
Qingzhong Ai
Lirong He
Shiyu Liu
Zenglin Xu
BDL
143
4
0
20 Jul 2021
CatVRNN: Generating Category Texts via Multi-task Learning
Pengsen Cheng
Jinqiao Dai
Jiayong Liu
GAN
175
4
0
12 Jul 2021
iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis
A. Blattmann
Timo Milbich
Michael Dorkenwald
Bjorn Ommer
DiffM
VGen
181
48
0
06 Jul 2021
InfoNCE is variational inference in a recognition parameterised model
Laurence Aitchison
Stoil Ganev
BDL
388
12
0
06 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity
Kyeongryeol Go
Seyoung Yun
242
1
0
05 Jul 2021
Diffusion Priors In Variational Autoencoders
Antoine Wehenkel
Gilles Louppe
DiffM
159
29
0
29 Jun 2021
G-VAE, a Geometric Convolutional VAE for ProteinStructure Generation
Niraj Pudasaini
Boulbaba Ben Amor
Xichan Lin
Fan Zhu
Yi Fang
DRL
111
8
0
22 Jun 2021
DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation
International Conference on Information and Knowledge Management (CIKM), 2020
Yifan Wang
Suyao Tang
Yuntong Lei
Weiping Song
Sheng Wang
Ming Zhang
206
164
0
21 Jun 2021
Lossy Compression for Lossless Prediction
Neural Information Processing Systems (NeurIPS), 2021
Yann Dubois
Benjamin Bloem-Reddy
Karen Ullrich
Chris J. Maddison
586
72
0
21 Jun 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation
Neural Information Processing Systems (NeurIPS), 2021
Abhishek Sinha
Jiaming Song
Chenlin Meng
Stefano Ermon
VLM
DiffM
289
140
0
12 Jun 2021
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior
International Conference on Learning Representations (ICLR), 2021
Sang-gil Lee
Heeseung Kim
Chaehun Shin
Xu Tan
Yu Xie
Qi Meng
Tao Qin
Wei Chen
Sung-Hoon Yoon
Tie-Yan Liu
DiffM
273
108
0
11 Jun 2021
Model Selection for Bayesian Autoencoders
Neural Information Processing Systems (NeurIPS), 2021
Ba-Hien Tran
Simone Rossi
Dimitrios Milios
Pietro Michiardi
Edwin V. Bonilla
Maurizio Filippone
BDL
204
14
0
11 Jun 2021
Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
International Conference on Machine Learning (ICML), 2021
Jaehyeon Kim
Jungil Kong
Juhee Son
DRL
295
1,151
0
11 Jun 2021
Score-based Generative Modeling in Latent Space
Neural Information Processing Systems (NeurIPS), 2021
Arash Vahdat
Karsten Kreis
Jan Kautz
DiffM
430
803
0
10 Jun 2021
Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generation and Reconstruction
International Conference on 3D Vision (3DV), 2021
Janis Postels
Mengya Liu
Riccardo Spezialetti
Luc Van Gool
Federico Tombari
AI4CE
3DPC
186
22
0
06 Jun 2021
Learning Disentangled Representations for Time Series
Yuening Li
Zhengzhang Chen
Daochen Zha
Mengnan Du
Denghui Zhang
Haifeng Chen
Helen Zhou
CoGe
AI4TS
168
10
0
17 May 2021
Priors in Bayesian Deep Learning: A Review
International Statistical Review (ISR), 2021
Vincent Fortuin
UQCV
BDL
438
159
0
14 May 2021
Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-RL
Conference on Learning for Dynamics & Control (L4DC), 2021
K. Akuzawa
Yusuke Iwasawa
Y. Matsuo
154
5
0
14 May 2021
Stochastic Image-to-Video Synthesis using cINNs
Computer Vision and Pattern Recognition (CVPR), 2021
Michael Dorkenwald
Timo Milbich
A. Blattmann
Robin Rombach
Konstantinos G. Derpanis
Bjorn Ommer
DiffM
VGen
238
64
0
10 May 2021
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Clément Chadebec
Elina Thibeau-Sutre
Ninon Burgos
S. Allassonnière
377
84
0
30 Apr 2021
Review of end-to-end speech synthesis technology based on deep learning
Zhaoxi Mu
Xinyu Yang
Yizhuo Dong
AuLLM
ALM
202
31
0
20 Apr 2021
Geometry-Free View Synthesis: Transformers and no 3D Priors
IEEE International Conference on Computer Vision (ICCV), 2021
Robin Rombach
Patrick Esser
Bjorn Ommer
ViT
410
109
0
15 Apr 2021
Mixed supervision for surface-defect detection: from weakly to fully supervised learning
Jakob Bozic
Domen Tabernik
D. Skočaj
290
321
0
13 Apr 2021
Variational Transformer Networks for Layout Generation
Computer Vision and Pattern Recognition (CVPR), 2021
Diego Martin Arroyo
Janis Postels
F. Tombari
ViT
DRL
170
151
0
06 Apr 2021
Interpretable Unsupervised Diversity Denoising and Artefact Removal
International Conference on Learning Representations (ICLR), 2021
M. Prakash
M. Delbracio
P. Milanfar
Florian Jug
233
40
0
03 Apr 2021
Neighbor Embedding Variational Autoencoder
Renfei Tu
Yang Liu
Yongzeng Xue
Cheng Wang
Maozu Guo
BDL
DRL
127
0
0
21 Mar 2021
Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling
International Conference on Learning Representations (ICLR), 2021
DJordje Miladinović
Aleksandar Stanić
Stefan Bauer
Jürgen Schmidhuber
J. M. Buhmann
DRL
154
9
0
16 Mar 2021
Variable-rate discrete representation learning
Sander Dieleman
C. Nash
Jesse Engel
Karen Simonyan
BDL
DRL
209
32
0
10 Mar 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Sam Bond-Taylor
Adam Leach
Yang Long
Chris G. Willcocks
VLM
TPM
720
624
0
08 Mar 2021
Behavior-Driven Synthesis of Human Dynamics
Computer Vision and Pattern Recognition (CVPR), 2021
A. Blattmann
Timo Milbich
Michael Dorkenwald
Bjorn Ommer
147
16
0
08 Mar 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation
Computer Vision and Pattern Recognition (CVPR), 2021
Shitong Luo
Wei Hu
3DPC
634
913
0
02 Mar 2021
Uncertainty Estimation Using Riemannian Model Dynamics for Offline Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2021
Guy Tennenholtz
Shie Mannor
OffRL
191
14
0
22 Feb 2021
Kanerva++: extending The Kanerva Machine with differentiable, locally block allocated latent memory
International Conference on Learning Representations (ICLR), 2021
Jason Ramapuram
Yan Wu
Alexandros Kalousis
203
4
0
20 Feb 2021
UAV Localization Using Autoencoded Satellite Images
IEEE Robotics and Automation Letters (RA-L), 2021
Mollie Bianchi
Timothy D. Barfoot
130
64
0
10 Feb 2021
Attentive Gaussian processes for probabilistic time-series generation
Kuilin Chen
Chi-Guhn Lee
AI4TS
74
1
0
10 Feb 2021
Neural representation and generation for RNA secondary structures
International Conference on Learning Representations (ICLR), 2021
Zichao Yan
William L. Hamilton
Mathieu Blanchette
113
3
0
01 Feb 2021
Hierarchical Variational Autoencoder for Visual Counterfactuals
International Conference on Information Photonics (ICIP), 2021
Nicolas Vercheval
A. Pižurica
CML
DRL
BDL
166
3
0
01 Feb 2021
Hierarchical Variational Auto-Encoding for Unsupervised Domain Generalization
Xudong Sun
Florian Buettner
BDL
OOD
DRL
326
3
0
23 Jan 2021
Knowledge Generation -- Variational Bayes on Knowledge Graphs
Florian Wolf
BDL
77
0
0
21 Jan 2021
Convex Smoothed Autoencoder-Optimal Transport model
Aratrika Mustafi
GAN
DRL
124
1
0
14 Jan 2021
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