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Avoiding Latent Variable Collapse With Generative Skip Models
12 July 2018
Adji Bousso Dieng
Yoon Kim
Alexander M. Rush
David M. Blei
DRL
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Papers citing
"Avoiding Latent Variable Collapse With Generative Skip Models"
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Neural Variational Dropout Processes
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Youngjin Park
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ZClassifier: Temperature Tuning and Manifold Approximation via KL Divergence on Logit Space
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260
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Conformalized Generative Bayesian Imaging: An Uncertainty Quantification Framework for Computational Imaging
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Müjdat Çetin
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349
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10 Apr 2025
Hierarchical VAE with a Diffusion-based VampPrior
Anna Kuzina
Jakub M. Tomczak
DiffM
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BDL
365
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02 Dec 2024
PerTok: Expressive Encoding and Modeling of Symbolic Musical Ideas and Variations
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Julian Lenz
Anirudh Mani
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167
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02 Oct 2024
A Non-negative VAE:the Generalized Gamma Belief Network
Zhibin Duan
Tiansheng Wen
Muyao Wang
Bo Chen
Mingyuan Zhou
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311
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06 Aug 2024
A Study of Posterior Stability for Time-Series Latent Diffusion
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M. Schaar
184
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22 May 2024
Latent Feature-Guided Diffusion Models for Shadow Removal
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Kangfu Mei
Luis Figueroa
Zhe Lin
Zhihong Ding
Scott D. Cohen
Vishal M. Patel
DiffM
385
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04 Dec 2023
RBPGAN: Recurrent Back-Projection GAN for Video Super Resolution
Marwah Sulaiman
Zahraa Shehabeldin
Israa Fahmy
Mohammed Barakat
Mohammed El-Naggar
Dareen Hussein
Moustafa Youssef
Hesham M. Eraqi
GAN
244
1
0
15 Nov 2023
Learning Dynamics in Linear VAE: Posterior Collapse Threshold, Superfluous Latent Space Pitfalls, and Speedup with KL Annealing
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Yuma Ichikawa
Koji Hukushima
203
10
0
24 Oct 2023
CR-VAE: Contrastive Regularization on Variational Autoencoders for Preventing Posterior Collapse
Fotios Lygerakis
Elmar Rueckert
DRL
243
6
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06 Sep 2023
Unsupervised Text Style Transfer with Deep Generative Models
Zhongtao Jiang
Yuanzhe Zhang
Yiming Ju
Kang Liu
272
0
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31 Aug 2023
AI-Generated Content (AIGC) for Various Data Modalities: A Survey
ACM Computing Surveys (ACM Comput. Surv.), 2023
Lin Geng Foo
Hossein Rahmani
Jing Liu
746
46
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27 Aug 2023
Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders
International Conference on Learning Representations (ICLR), 2023
Hien Dang
Tho Tran
T. Nguyen
Nhat Ho
CML
DRL
339
8
0
08 Jun 2023
Multi-modal Latent Diffusion
Entropy (Entropy), 2023
Mustapha Bounoua
Giulio Franzese
Pietro Michiardi
DiffM
243
16
0
07 Jun 2023
Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network
International Conference on Machine Learning (ICML), 2023
Yuri Kinoshita
Kenta Oono
Kenji Fukumizu
Yuichi Yoshida
S. Maeda
DRL
BDL
232
4
0
25 Apr 2023
Discouraging posterior collapse in hierarchical Variational Autoencoders using context
Anna Kuzina
Jakub M. Tomczak
BDL
DRL
333
1
0
20 Feb 2023
Language as a Latent Sequence: deep latent variable models for semi-supervised paraphrase generation
AI Open (AO), 2023
Jialin Yu
Alexandra I. Cristea
Anoushka Harit
Zhongtian Sun
O. Aduragba
Lei Shi
Noura Al Moubayed
VLM
BDL
DRL
299
3
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05 Jan 2023
Posterior Collapse and Latent Variable Non-identifiability
Neural Information Processing Systems (NeurIPS), 2023
Yixin Wang
David M. Blei
John P. Cunningham
CML
DRL
332
83
0
02 Jan 2023
Geometry-Complete Perceptron Networks for 3D Molecular Graphs
Alex Morehead
Jianlin Cheng
GNN
3DV
AI4CE
304
18
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04 Nov 2022
Improving Variational Autoencoders with Density Gap-based Regularization
Neural Information Processing Systems (NeurIPS), 2022
Jianfei Zhang
Jun Bai
Chenghua Lin
Yanmeng Wang
Wenge Rong
DRL
195
9
0
01 Nov 2022
Combining Contrastive and Non-Contrastive Losses for Fine-Tuning Pretrained Models in Speech Analysis
Spoken Language Technology Workshop (SLT), 2022
Florian Lux
Ching-Yi Chen
Ngoc Thang Vu
86
1
0
21 Oct 2022
Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders
International Conference on Machine Learning (ICML), 2022
Oskar Kviman
Ricky Molén
A. Hotti
Semih Kurt
Victor Elvira
J. Lagergren
310
15
0
30 Sep 2022
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
173
6
0
29 Sep 2022
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs
Neural Information Processing Systems (NeurIPS), 2022
Ðorðe Miladinovic
Kumar Shridhar
Kushal Kumar Jain
Max B. Paulus
J. M. Buhmann
Mrinmaya Sachan
Carl Allen
DRL
322
5
0
26 Sep 2022
Forget-me-not! Contrastive Critics for Mitigating Posterior Collapse
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
Sachit Menon
David M. Blei
Carl Vondrick
DRL
306
8
0
19 Jul 2022
Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation
North American Chapter of the Association for Computational Linguistics (NAACL), 2022
Jinyi Hu
Xiaoyuan Yi
Wenhao Li
Maosong Sun
Xing Xie
239
23
0
13 Jul 2022
Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process Priors
Wanyu Du
Jianqiao Zhao
Liwei Wang
Yangfeng Ji
BDL
148
16
0
04 Apr 2022
Covariate-informed Representation Learning to Prevent Posterior Collapse of iVAE
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Young-geun Kim
Wenshu Fan
Xue Wei
OOD
CML
304
2
0
09 Feb 2022
Transport Score Climbing: Variational Inference Using Forward KL and Adaptive Neural Transport
Liyi Zhang
David M. Blei
C. A. Naesseth
296
8
0
03 Feb 2022
FIGARO: Generating Symbolic Music with Fine-Grained Artistic Control
Dimitri von Rutte
Luca Biggio
Yannic Kilcher
Thomas Hofmann
356
0
0
26 Jan 2022
Counterfactual Explanations via Latent Space Projection and Interpolation
Brian Barr
Matthew R. Harrington
Samuel Sharpe
Capital One
BDL
133
10
0
02 Dec 2021
Preventing posterior collapse in variational autoencoders for text generation via decoder regularization
Alban Petit
Caio Corro
DRL
218
3
0
28 Oct 2021
The Neglected Sibling: Isotropic Gaussian Posterior for VAE
Lan Zhang
Wray Buntine
Ehsan Shareghi
DRL
114
0
0
14 Oct 2021
Discriminative Multimodal Learning via Conditional Priors in Generative Models
Neural Networks (NN), 2021
R. A. Mancisidor
Michael C. Kampffmeyer
K. Aas
Robert Jenssen
GAN
275
6
0
09 Oct 2021
Enhancing audio quality for expressive Neural Text-to-Speech
Speech Synthesis Workshop (SS), 2021
Abdelhamid Ezzerg
Adam Gabry's
Bartosz Putrycz
Daniel Korzekwa
Daniel Sáez-Trigueros
David McHardy
Kamil Pokora
Jakub Lachowicz
Jaime Lorenzo-Trueba
V. Klimkov
188
6
0
13 Aug 2021
AASAE: Augmentation-Augmented Stochastic Autoencoders
William Falcon
A. Jha
Teddy Koker
Dong Wang
177
1
0
26 Jul 2021
Unsupervised Representation Disentanglement of Text: An Evaluation on Synthetic Datasets
Workshop on Representation Learning for NLP (RepL4NLP), 2021
Lan Zhang
Victor Prokhorov
Ehsan Shareghi
CoGe
DRL
105
3
0
07 Jun 2021
Consistency Regularization for Variational Auto-Encoders
Neural Information Processing Systems (NeurIPS), 2021
Samarth Sinha
Adji Bousso Dieng
CML
263
73
0
31 May 2021
MuseMorphose: Full-Song and Fine-Grained Piano Music Style Transfer with One Transformer VAE
IEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2021
Shih-Lun Wu
Yi-Hsuan Yang
ViT
375
73
0
10 May 2021
SKID RAW: Skill Discovery from Raw Trajectories
IEEE Robotics and Automation Letters (RA-L), 2021
Daniel Tanneberg
Kai Ploeger
Elmar Rueckert
Jan Peters
207
33
0
26 Mar 2021
Hierarchical VAEs Know What They Don't Know
International Conference on Machine Learning (ICML), 2021
Jakob Drachmann Havtorn
J. Frellsen
Søren Hauberg
Lars Maaløe
DRL
619
83
0
16 Feb 2021
Knowledge Generation -- Variational Bayes on Knowledge Graphs
Florian Wolf
BDL
78
0
0
21 Jan 2021
Latent Template Induction with Gumbel-CRFs
Neural Information Processing Systems (NeurIPS), 2020
Yao Fu
Chuanqi Tan
Bin Bi
Mosha Chen
Yansong Feng
Alexander M. Rush
BDL
156
14
0
29 Nov 2020
Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation
International Conference on Computational Linguistics (COLING), 2020
Ruizhe Li
Xiao Li
Guanyi Chen
Chenghua Lin
DRL
213
17
0
02 Nov 2020
The ELBO of Variational Autoencoders Converges to a Sum of Three Entropies
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Simon Damm
D. Forster
Dmytro Velychko
Zhenwen Dai
Asja Fischer
Jörg Lücke
DRL
567
8
0
28 Oct 2020
D2RL: Deep Dense Architectures in Reinforcement Learning
Samarth Sinha
Homanga Bharadhwaj
A. Srinivas
Animesh Garg
OffRL
AI4CE
267
61
0
19 Oct 2020
Deep Sequence Learning for Video Anticipation: From Discrete and Deterministic to Continuous and Stochastic
S. Aliakbarian
AI4TS
128
0
0
09 Oct 2020
Dual Reconstruction: a Unifying Objective for Semi-Supervised Neural Machine Translation
Weijia Xu
Xing Niu
Marine Carpuat
112
10
0
07 Oct 2020
Optimal Variance Control of the Score Function Gradient Estimator for Importance Weighted Bounds
Valentin Liévin
Andrea Dittadi
Anders Christensen
Ole Winther
DRL
219
6
0
05 Aug 2020
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