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Denoising Criterion for Variational Auto-Encoding Framework

Denoising Criterion for Variational Auto-Encoding Framework

19 November 2015
Daniel Jiwoong Im
Sungjin Ahn
Roland Memisevic
Yoshua Bengio
ArXivPDFHTML

Papers citing "Denoising Criterion for Variational Auto-Encoding Framework"

29 / 29 papers shown
Title
Vector-Quantized Vision Foundation Models for Object-Centric Learning
Vector-Quantized Vision Foundation Models for Object-Centric Learning
Rongzhen Zhao
V. Wang
Arno Solin
Joni Pajarinen
OCL
VLM
290
0
0
27 Feb 2025
SGW-based Multi-Task Learning in Vision Tasks
SGW-based Multi-Task Learning in Vision Tasks
Ruiyuan Zhang
Yuyao Chen
Yuchi Huo
Jiaxiang Liu
Dianbing Xi
Jie Liu
Chao Wu
33
1
0
03 Oct 2024
Multi-Scale Fusion for Object Representation
Multi-Scale Fusion for Object Representation
Rongzhen Zhao
V. Wang
Arno Solin
Joni Pajarinen
OCL
VOS
68
1
0
02 Oct 2024
Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center Study
Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center Study
Zohaib Salahuddin
A. Ibrahim
Sheng Kuang
Y. Widaatalla
R. Miclea
...
Tom Marcelissen
Patricia Zondervan
Auke Jager
Philippe Lambin
Henry C. Woodruff
MedIm
34
0
0
07 Aug 2024
Length-Aware Motion Synthesis via Latent Diffusion
Length-Aware Motion Synthesis via Latent Diffusion
Alessio Sampieri
Alessio Palma
Indro Spinelli
Fabio Galasso
VGen
DiffM
56
7
0
16 Jul 2024
Reasoning-Enhanced Object-Centric Learning for Videos
Reasoning-Enhanced Object-Centric Learning for Videos
Jian Li
Pu Ren
Yang Liu
Hao Sun
OCL
LRM
51
2
0
22 Mar 2024
Implicit Variational Inference for High-Dimensional Posteriors
Implicit Variational Inference for High-Dimensional Posteriors
Anshuk Uppal
Kristoffer Stensbo-Smidt
Wouter Boomsma
J. Frellsen
BDL
28
1
0
10 Oct 2023
Plug-and-Play split Gibbs sampler: embedding deep generative priors in
  Bayesian inference
Plug-and-Play split Gibbs sampler: embedding deep generative priors in Bayesian inference
Florentin Coeurdoux
N. Dobigeon
P. Chainais
27
15
0
21 Apr 2023
Continuous Indeterminate Probability Neural Network
Continuous Indeterminate Probability Neural Network
T.A. Yang
BDL
27
0
0
23 Mar 2023
Graph Harmony: Denoising and Nuclear-Norm Wasserstein Adaptation for
  Enhanced Domain Transfer in Graph-Structured Data
Graph Harmony: Denoising and Nuclear-Norm Wasserstein Adaptation for Enhanced Domain Transfer in Graph-Structured Data
Mengxi Wu
Mohammad Rostami
AI4CE
28
3
0
29 Jan 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
Latent Variable Models in the Era of Industrial Big Data: Extension and
  Beyond
Latent Variable Models in the Era of Industrial Big Data: Extension and Beyond
Xiangyi Kong
Xiaoyu Jiang
Bingxin Zhang
Jinsong Yuan
Zhiqiang Ge
26
67
0
23 Aug 2022
Exploring Versatile Prior for Human Motion via Motion Frequency Guidance
Exploring Versatile Prior for Human Motion via Motion Frequency Guidance
Jiachen Xu
Min Wang
Jing-yu Gong
Wentao Liu
Chao Qian
Yuan Xie
Lizhuang Ma
35
9
0
25 Nov 2021
Hybrid BYOL-ViT: Efficient approach to deal with small datasets
Hybrid BYOL-ViT: Efficient approach to deal with small datasets
Safwen Naimi
Rien van Leeuwen
W. Souidène
S. B. Saoud
SSL
ViT
25
2
0
08 Nov 2021
My House, My Rules: Learning Tidying Preferences with Graph Neural
  Networks
My House, My Rules: Learning Tidying Preferences with Graph Neural Networks
Ivan Kapelyukh
Edward Johns
SSL
21
40
0
04 Nov 2021
Illiterate DALL-E Learns to Compose
Illiterate DALL-E Learns to Compose
Gautam Singh
Fei Deng
Sungjin Ahn
CoGe
OCL
27
133
0
17 Oct 2021
Adversarial and Contrastive Variational Autoencoder for Sequential
  Recommendation
Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation
Zhe Xie
Chengxuan Liu
Yichi Zhang
Hongtao Lu
Dong Wang
Yue Ding
BDL
DRL
36
91
0
19 Mar 2021
Learning and Inference in Imaginary Noise Models
Learning and Inference in Imaginary Noise Models
Saeed Saremi
BDL
DRL
11
2
0
18 May 2020
Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders
Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders
Saeid Asgari Taghanaki
Mohammad Havaei
Alex Lamb
Aditya Sanghi
Aram Danielyan
Tonya Custis
DRL
38
7
0
12 May 2020
RecVAE: a New Variational Autoencoder for Top-N Recommendations with
  Implicit Feedback
RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedback
Ilya Shenbin
Anton M. Alekseev
E. Tutubalina
Valentin Malykh
Sergey I. Nikolenko
BDL
DRL
21
196
0
24 Dec 2019
Denoising Auto-encoding Priors in Undecimated Wavelet Domain for MR
  Image Reconstruction
Denoising Auto-encoding Priors in Undecimated Wavelet Domain for MR Image Reconstruction
Siyuan Wang
Junjie Lv
Yuanyuan Hu
Dong Liang
Minghui Zhang
Qiegen Liu
MedIm
23
15
0
03 Sep 2019
Educating Text Autoencoders: Latent Representation Guidance via
  Denoising
Educating Text Autoencoders: Latent Representation Guidance via Denoising
T. Shen
Jonas W. Mueller
Regina Barzilay
Tommi Jaakkola
19
4
0
29 May 2019
Quantization-Based Regularization for Autoencoders
Quantization-Based Regularization for Autoencoders
Hanwei Wu
M. Flierl
DRL
21
2
0
27 May 2019
Spread Divergence
Spread Divergence
Mingtian Zhang
Peter Hayes
Thomas Bird
Raza Habib
David Barber
MedIm
UD
30
20
0
21 Nov 2018
Semi-Implicit Variational Inference
Semi-Implicit Variational Inference
Mingzhang Yin
Mingyuan Zhou
BDL
35
121
0
28 May 2018
Learning 3D Shape Completion under Weak Supervision
Learning 3D Shape Completion under Weak Supervision
David Stutz
Andreas Geiger
3DPC
SSL
35
106
0
18 May 2018
Quantitatively Evaluating GANs With Divergences Proposed for Training
Quantitatively Evaluating GANs With Divergences Proposed for Training
Daniel Jiwoong Im
He Ma
Graham W. Taylor
K. Branson
EGVM
19
69
0
02 Mar 2018
On denoising autoencoders trained to minimise binary cross-entropy
On denoising autoencoders trained to minimise binary cross-entropy
Antonia Creswell
Kai Arulkumaran
Anil A. Bharath
30
72
0
28 Aug 2017
PixelGAN Autoencoders
PixelGAN Autoencoders
Alireza Makhzani
Brendan J. Frey
GAN
32
100
0
02 Jun 2017
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