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Avoiding Latent Variable Collapse With Generative Skip Models

Avoiding Latent Variable Collapse With Generative Skip Models

12 July 2018
Adji Bousso Dieng
Yoon Kim
Alexander M. Rush
David M. Blei
    DRL
ArXivPDFHTML

Papers citing "Avoiding Latent Variable Collapse With Generative Skip Models"

27 / 27 papers shown
Title
Latent Feature-Guided Diffusion Models for Shadow Removal
Latent Feature-Guided Diffusion Models for Shadow Removal
Kangfu Mei
Luis Figueroa
Zhe-nan Lin
Zhihong Ding
Scott D. Cohen
Vishal M. Patel
DiffM
26
18
0
04 Dec 2023
AI-Generated Content (AIGC) for Various Data Modalities: A Survey
AI-Generated Content (AIGC) for Various Data Modalities: A Survey
Lin Geng Foo
Hossein Rahmani
Xiaozhong Liu
78
31
0
27 Aug 2023
Discouraging posterior collapse in hierarchical Variational Autoencoders
  using context
Discouraging posterior collapse in hierarchical Variational Autoencoders using context
Anna Kuzina
Jakub M. Tomczak
BDL
DRL
23
1
0
20 Feb 2023
Training β-VAE by Aggregating a Learned Gaussian Posterior with a
  Decoupled Decoder
Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder
Jianning Li
Jana Fragemann
Seyed-Ahmad Ahmadi
Jens Kleesiek
Jan Egger
DRL
32
4
0
29 Sep 2022
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs
Ðorðe Miladinovic
Kumar Shridhar
Kushal Kumar Jain
Max B. Paulus
J. M. Buhmann
Mrinmaya Sachan
Carl Allen
DRL
23
5
0
26 Sep 2022
Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent
  Variable Inference for Text Generation
Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation
Jinyi Hu
Xiaoyuan Yi
Wenhao Li
Maosong Sun
Xing Xie
24
21
0
13 Jul 2022
Diverse Text Generation via Variational Encoder-Decoder Models with
  Gaussian Process Priors
Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process Priors
Wanyu Du
Jianqiao Zhao
Liwei Wang
Yangfeng Ji
BDL
29
15
0
04 Apr 2022
Transport Score Climbing: Variational Inference Using Forward KL and
  Adaptive Neural Transport
Transport Score Climbing: Variational Inference Using Forward KL and Adaptive Neural Transport
Liyi Zhang
David M. Blei
C. A. Naesseth
27
6
0
03 Feb 2022
Counterfactual Explanations via Latent Space Projection and
  Interpolation
Counterfactual Explanations via Latent Space Projection and Interpolation
Brian Barr
Matthew R. Harrington
Samuel Sharpe
Capital One
BDL
33
10
0
02 Dec 2021
Preventing posterior collapse in variational autoencoders for text
  generation via decoder regularization
Preventing posterior collapse in variational autoencoders for text generation via decoder regularization
Alban Petit
Caio Corro
DRL
21
3
0
28 Oct 2021
Discriminative Multimodal Learning via Conditional Priors in Generative
  Models
Discriminative Multimodal Learning via Conditional Priors in Generative Models
R. A. Mancisidor
Michael C. Kampffmeyer
K. Aas
Robert Jenssen
GAN
28
5
0
09 Oct 2021
MuseMorphose: Full-Song and Fine-Grained Piano Music Style Transfer with
  One Transformer VAE
MuseMorphose: Full-Song and Fine-Grained Piano Music Style Transfer with One Transformer VAE
Shih-Lun Wu
Yi-Hsuan Yang
ViT
25
53
0
10 May 2021
A Batch Normalized Inference Network Keeps the KL Vanishing Away
A Batch Normalized Inference Network Keeps the KL Vanishing Away
Qile Zhu
Jianlin Su
Wei Bi
Xiaojiang Liu
Xiyao Ma
Xiaolin Li
D. Wu
BDL
DRL
34
61
0
27 Apr 2020
Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space
Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space
Chunyuan Li
Xiang Gao
Yuan Li
Baolin Peng
Xiujun Li
Yizhe Zhang
Jianfeng Gao
SSL
DRL
32
181
0
05 Apr 2020
Characterizing and Avoiding Problematic Global Optima of Variational
  Autoencoders
Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders
Yaniv Yacoby
Weiwei Pan
Finale Doshi-Velez
DRL
21
4
0
17 Mar 2020
Paraphrase Generation with Latent Bag of Words
Paraphrase Generation with Latent Bag of Words
Yao Fu
Yansong Feng
John P. Cunningham
BDL
25
91
0
07 Jan 2020
The Usual Suspects? Reassessing Blame for VAE Posterior Collapse
The Usual Suspects? Reassessing Blame for VAE Posterior Collapse
Bin Dai
Ziyu Wang
David Wipf
DRL
16
75
0
23 Dec 2019
Learning Representations by Maximizing Mutual Information in Variational
  Autoencoders
Learning Representations by Maximizing Mutual Information in Variational Autoencoders
Ali Lotfi-Rezaabad
S. Vishwanath
DRL
SSL
14
39
0
21 Dec 2019
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse
James Lucas
George Tucker
Roger C. Grosse
Mohammad Norouzi
CoGe
DRL
33
179
0
06 Nov 2019
Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating
  Mechanisms
Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms
Daeryong Kim
B. Suh
24
50
0
03 Nov 2019
Prescribed Generative Adversarial Networks
Prescribed Generative Adversarial Networks
Adji Bousso Dieng
Francisco J. R. Ruiz
David M. Blei
Michalis K. Titsias
GAN
DRL
21
61
0
09 Oct 2019
Probabilistic Forecasting using Deep Generative Models
Probabilistic Forecasting using Deep Generative Models
A. Fanfarillo
B. Roozitalab
Weiming Hu
G. Cervone
22
17
0
26 Sep 2019
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text
Bohan Li
Junxian He
Graham Neubig
Taylor Berg-Kirkpatrick
Yiming Yang
DRL
11
70
0
02 Sep 2019
Conditional Flow Variational Autoencoders for Structured Sequence
  Prediction
Conditional Flow Variational Autoencoders for Structured Sequence Prediction
Apratim Bhattacharyya
M. Hanselmann
Mario Fritz
Bernt Schiele
C. Straehle
BDL
DRL
AI4TS
27
84
0
24 Aug 2019
Improve variational autoEncoder with auxiliary softmax multiclassifier
Improve variational autoEncoder with auxiliary softmax multiclassifier
Yao Li
DRL
23
0
0
17 Aug 2019
Effective Estimation of Deep Generative Language Models
Effective Estimation of Deep Generative Language Models
Tom Pelsmaeker
Wilker Aziz
BDL
24
27
0
17 Apr 2019
Lagging Inference Networks and Posterior Collapse in Variational
  Autoencoders
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders
Junxian He
Daniel M. Spokoyny
Graham Neubig
Taylor Berg-Kirkpatrick
BDL
DRL
16
272
0
16 Jan 2019
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