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Semi-Supervised Learning with Deep Generative Models

Semi-Supervised Learning with Deep Generative Models

20 June 2014
Diederik P. Kingma
Danilo Jimenez Rezende
S. Mohamed
Max Welling
    GAN
    SSL
    BDL
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Papers citing "Semi-Supervised Learning with Deep Generative Models"

23 / 23 papers shown
Title
ScarceGAN: Discriminative Classification Framework for Rare Class Identification for Longitudinal Data with Weak Prior
ScarceGAN: Discriminative Classification Framework for Rare Class Identification for Longitudinal Data with Weak Prior
Surajit Chakrabarty
Rukma Talwadker
Tridib Mukherjee
GAN
82
3
0
02 May 2025
Generating Multimodal Driving Scenes via Next-Scene Prediction
Generating Multimodal Driving Scenes via Next-Scene Prediction
Yanhao Wu
Haoyang Zhang
Tianwei Lin
Lichao Huang
Shujie Luo
Rui Wu
Congpei Qiu
Wei Ke
Tong Zhang
VGen
69
0
0
19 Mar 2025
StyleAutoEncoder for manipulating image attributes using pre-trained StyleGAN
StyleAutoEncoder for manipulating image attributes using pre-trained StyleGAN
Andrzej Bedychaj
Jacek Tabor
Marek Śmieja
GAN
82
0
0
31 Dec 2024
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers
Asifullah Khan
A. Sohail
Mustansar Fiaz
Mehdi Hassan
Tariq Habib Afridi
...
Muhammad Zaigham Zaheer
Kamran Ali
Tangina Sultana
Ziaurrehman Tanoli
Naeem Akhter
141
4
0
30 Aug 2024
Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing
Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing
Han Jiang
Xiaoyuan Yi
Zhihua Wei
Ziang Xiao
Shu Wang
Xing Xie
ELM
ALM
88
8
0
20 Jun 2024
Fairness Risks for Group-conditionally Missing Demographics
Fairness Risks for Group-conditionally Missing Demographics
Kaiqi Jiang
Wenzhe Fan
Mao Li
Xinhua Zhang
134
0
0
20 Feb 2024
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors
Wasu Top Piriyakulkij
Yingheng Wang
Volodymyr Kuleshov
DiffM
62
1
0
05 Jan 2024
Disentanglement Learning via Topology
Disentanglement Learning via Topology
Nikita Balabin
Daria Voronkova
I. Trofimov
Evgeny Burnaev
S. Barannikov
DRL
83
2
0
24 Aug 2023
Conditional Generative Modeling for High-dimensional Marked Temporal Point Processes
Conditional Generative Modeling for High-dimensional Marked Temporal Point Processes
Zheng Dong
Zekai Fan
Shixiang Zhu
DiffM
58
4
0
21 May 2023
Auto-Encoding Goodness of Fit
Auto-Encoding Goodness of Fit
A. Palmer
Zhiyi Chi
Derek Aguiar
J. Bi
59
1
0
12 Oct 2022
A Deterministic Sampling Method via Maximum Mean Discrepancy Flow with Adaptive Kernel
A Deterministic Sampling Method via Maximum Mean Discrepancy Flow with Adaptive Kernel
Yindong Chen
Yiwei Wang
Lulu Kang
Chun Liu
65
2
0
21 Nov 2021
Generative chemistry: drug discovery with deep learning generative
  models
Generative chemistry: drug discovery with deep learning generative models
Yuemin Bian
X. Xie
AI4CE
69
95
0
20 Aug 2020
Machine Learning for Reliability Engineering and Safety Applications:
  Review of Current Status and Future Opportunities
Machine Learning for Reliability Engineering and Safety Applications: Review of Current Status and Future Opportunities
Zhaoyi Xu
J. Saleh
49
343
0
19 Aug 2020
Capturing Label Characteristics in VAEs
Capturing Label Characteristics in VAEs
Thomas Joy
Sebastian M. Schmon
Philip Torr
N. Siddharth
Tom Rainforth
CML
DRL
60
45
0
17 Jun 2020
PCAAE: Principal Component Analysis Autoencoder for organising the
  latent space of generative networks
PCAAE: Principal Component Analysis Autoencoder for organising the latent space of generative networks
Chi-Hieu Pham
Saïd Ladjal
A. Newson
DRL
50
31
0
14 Jun 2020
Simulating Tariff Impact in Electrical Energy Consumption Profiles with
  Conditional Variational Autoencoders
Simulating Tariff Impact in Electrical Energy Consumption Profiles with Conditional Variational Autoencoders
M. Brégère
R. Bessa
32
14
0
10 Jun 2020
DeepWiFi: Cognitive WiFi with Deep Learning
DeepWiFi: Cognitive WiFi with Deep Learning
Kemal Davaslioglu
S. Soltani
T. Erpek
Y. Sagduyu
38
45
0
29 Oct 2019
Weakly Supervised Disentanglement with Guarantees
Weakly Supervised Disentanglement with Guarantees
Rui Shu
Yining Chen
Abhishek Kumar
Stefano Ermon
Ben Poole
CoGe
DRL
83
137
0
22 Oct 2019
Controllable Text-to-Image Generation
Controllable Text-to-Image Generation
Bowen Li
Xiaojuan Qi
Thomas Lukasiewicz
Philip Torr
GAN
76
353
0
16 Sep 2019
Classical Planning in Deep Latent Space: Bridging the
  Subsymbolic-Symbolic Boundary
Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary
Masataro Asai
A. Fukunaga
121
171
0
29 Apr 2017
Improved Variational Autoencoders for Text Modeling using Dilated
  Convolutions
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions
Zichao Yang
Zhiting Hu
Ruslan Salakhutdinov
Taylor Berg-Kirkpatrick
77
389
0
27 Feb 2017
Ladder Variational Autoencoders
Ladder Variational Autoencoders
C. Sønderby
T. Raiko
Lars Maaløe
Søren Kaae Sønderby
Ole Winther
BDL
DRL
77
909
0
06 Feb 2016
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
367
16,962
0
20 Dec 2013
1