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1711.05411
Cited By
Z-Forcing: Training Stochastic Recurrent Networks
15 November 2017
Anirudh Goyal
Alessandro Sordoni
Marc-Alexandre Côté
Nan Rosemary Ke
Yoshua Bengio
BDL
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Papers citing
"Z-Forcing: Training Stochastic Recurrent Networks"
43 / 43 papers shown
Title
Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models
Junda Zhao
Yuliang Song
Eldan Cohen
21
0
0
14 May 2025
FutureDepth: Learning to Predict the Future Improves Video Depth Estimation
R. Yasarla
Manish Kumar Singh
Hong Cai
Yunxiao Shi
Jisoo Jeong
Yinhao Zhu
Shizhong Han
Risheek Garrepalli
Fatih Porikli
MDE
96
6
0
17 Jan 2025
Causal Recurrent Variational Autoencoder for Medical Time Series Generation
Hongming Li
Shujian Yu
José C. Príncipe
CML
BDL
MedIm
28
47
0
16 Jan 2023
Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation
Jinyi Hu
Xiaoyuan Yi
Wenhao Li
Maosong Sun
Xingxu Xie
DRL
27
0
0
22 Oct 2022
GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation
Yifan Zhang
Qijian Zhang
Zhiyu Zhu
Junhui Hou
Yixuan Yuan
3DPC
42
52
0
06 Jul 2022
AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE
Chang-Tien Lu
Shen Zheng
Zirui Wang
O. Dib
Gaurav Gupta
34
3
0
28 Jun 2022
Competency Assessment for Autonomous Agents using Deep Generative Models
Aastha Acharya
Rebecca L. Russell
Nisar R. Ahmed
32
10
0
23 Mar 2022
Data-to-text Generation with Variational Sequential Planning
Ratish Puduppully
Yao Fu
Mirella Lapata
56
21
0
28 Feb 2022
Benchmarking Generative Latent Variable Models for Speech
Jakob Drachmann Havtorn
Lasse Borgholt
Søren Hauberg
J. Frellsen
Lars Maaløe
26
3
0
22 Feb 2022
Estimating the Value-at-Risk by Temporal VAE
Robert Sicks
S. Grimm
R. Korn
Ivo Richert
10
6
0
03 Dec 2021
Contrastively Disentangled Sequential Variational Autoencoder
M. Kiener
Weiran Wang
Michael Gerndt
CoGe
DRL
27
40
0
22 Oct 2021
LSD-StructureNet: Modeling Levels of Structural Detail in 3D Part Hierarchies
Dominic Roberts
Aram Danielyan
Hang Chu
Mani Golparvar-Fard
David A. Forsyth
3DPC
3DV
38
8
0
18 Aug 2021
A Benchmark of Dynamical Variational Autoencoders applied to Speech Spectrogram Modeling
Xiaoyu Bie
Laurent Girin
Simon Leglaive
Thomas Hueber
Xavier Alameda-Pineda
26
12
0
11 Jun 2021
CLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model with Attention for Predicting Trends of Financial Markets
Jia Wang
Tong Sun
Benyuan Liu
Yu Cao
Hongwei Zhu
AI4TS
23
63
0
08 Apr 2021
Deep Evolutionary Learning for Molecular Design
Yifeng Li
H. K. Ooi
A. Tchagang
27
14
0
28 Dec 2020
Variational Dynamic Mixtures
Chen Qiu
Stephan Mandt
Maja R. Rudolph
BDL
AI4TS
16
2
0
20 Oct 2020
Dynamic Future Net: Diversified Human Motion Generation
Wenheng Chen
He Wang
Yi Yuan
Tianjia Shao
Kun Zhou
3DH
35
22
0
25 Aug 2020
A Generative Model for Joint Natural Language Understanding and Generation
Bo-Hsiang Tseng
Jianpeng Cheng
Yimai Fang
David Vandyke
19
22
0
12 Jun 2020
Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue
Byeongchang Kim
Jaewoo Ahn
Gunhee Kim
BDL
44
167
0
18 Feb 2020
Variational Recurrent Models for Solving Partially Observable Control Tasks
Dongqi Han
Kenji Doya
Jun Tani
DRL
OffRL
21
59
0
23 Dec 2019
Multiple Futures Prediction
Yichuan Tang
Ruslan Salakhutdinov
28
347
0
04 Nov 2019
A Latent Morphology Model for Open-Vocabulary Neural Machine Translation
Duygu Ataman
Wilker Aziz
Alexandra Birch
27
16
0
30 Oct 2019
Variational Graph Recurrent Neural Networks
Ehsan Hajiramezanali
Arman Hasanzadeh
N. Duffield
Krishna R. Narayanan
Mingyuan Zhou
Xiaoning Qian
BDL
GNN
20
184
0
26 Aug 2019
Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning
J. Aneja
Harsh Agrawal
Dhruv Batra
A. Schwing
BDL
VLM
23
66
0
22 Aug 2019
Sequential Neural Processes
Gautam Singh
Jaesik Yoon
Youngsung Son
Sungjin Ahn
BDL
AI4TS
40
81
0
24 Jun 2019
Learning Belief Representations for Imitation Learning in POMDPs
Tanmay Gangwani
Joel Lehman
Qiang Liu
Jian Peng
24
36
0
22 Jun 2019
Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning
Dayiheng Liu
Jie Fu
Yidan Zhang
C. Pal
Jiancheng Lv
DRL
39
48
0
29 May 2019
Effective Estimation of Deep Generative Language Models
Tom Pelsmaeker
Wilker Aziz
BDL
24
27
0
17 Apr 2019
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations
Mingda Chen
Qingming Tang
Sam Wiseman
Kevin Gimpel
DRL
23
76
0
02 Apr 2019
Hierarchical Autoregressive Image Models with Auxiliary Decoders
J. Fauw
Sander Dieleman
Karen Simonyan
GAN
30
37
0
06 Mar 2019
Persona-Aware Tips Generation
Piji Li
Zihao Wang
Lidong Bing
Wai Lam
20
40
0
06 Mar 2019
Stochastic Prediction of Multi-Agent Interactions from Partial Observations
Chen Sun
Per Karlsson
Jiajun Wu
J. Tenenbaum
Kevin Patrick Murphy
33
89
0
25 Feb 2019
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders
Junxian He
Daniel M. Spokoyny
Graham Neubig
Taylor Berg-Kirkpatrick
BDL
DRL
25
272
0
16 Jan 2019
A General Method for Amortizing Variational Filtering
Joseph Marino
Milan Cvitkovic
Yisong Yue
27
34
0
13 Nov 2018
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation
Zhiting Hu
Haoran Shi
Bowen Tan
Wentao Wang
Zichao Yang
...
Zhengzhong Liu
Xiaodan Liang
Wangrong Zhu
Devendra Singh Sachan
Eric Xing
VLM
17
56
0
04 Sep 2018
Temporal Difference Variational Auto-Encoder
Karol Gregor
George Papamakarios
F. Besse
Lars Buesing
Theophane Weber
DRL
24
126
0
08 Jun 2018
A Stochastic Decoder for Neural Machine Translation
P. Schulz
Wilker Aziz
Trevor Cohn
BDL
30
29
0
28 May 2018
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers
Marcel Hirt
P. Dellaportas
BDL
20
10
0
23 May 2018
Noisin: Unbiased Regularization for Recurrent Neural Networks
Adji Bousso Dieng
Rajesh Ranganath
Jaan Altosaar
David M. Blei
22
22
0
03 May 2018
Generating Multi-Agent Trajectories using Programmatic Weak Supervision
Eric Zhan
Stephan Zheng
Yisong Yue
Long Sha
P. Lucey
25
88
0
20 Mar 2018
Learning Longer-term Dependencies in RNNs with Auxiliary Losses
Trieu H. Trinh
Andrew M. Dai
Thang Luong
Quoc V. Le
32
179
0
01 Mar 2018
Semi-Amortized Variational Autoencoders
Yoon Kim
Sam Wiseman
Andrew C. Miller
David Sontag
Alexander M. Rush
BDL
DRL
33
243
0
07 Feb 2018
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
272
2,552
0
25 Jan 2016
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