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Max-margin Deep Generative Models

Max-margin Deep Generative Models

26 April 2015
Chongxuan Li
Jun Zhu
Tianlin Shi
Bo Zhang
    AI4CE
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Papers citing "Max-margin Deep Generative Models"

10 / 10 papers shown
Title
Variational Temporal Deep Generative Model for Radar HRRP Target
  Recognition
Variational Temporal Deep Generative Model for Radar HRRP Target Recognition
D. Guo
Bo Chen
Wenchao Chen
C. Wang
Hongwei Liu
Mingyuan Zhou
BDL
35
35
0
28 Sep 2020
Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference
Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference
Hao Zhang
Bo Chen
Yulai Cong
D. Guo
Hongwei Liu
Mingyuan Zhou
BDL
24
27
0
15 Jun 2020
Triple Generative Adversarial Networks
Triple Generative Adversarial Networks
Chongxuan Li
Kun Xu
Jiashuo Liu
Jun Zhu
Bo Zhang
GAN
31
41
0
20 Dec 2019
Structured Generative Adversarial Networks
Structured Generative Adversarial Networks
Zhijie Deng
Huan Zhang
Xiaodan Liang
Luona Yang
Shizhen Xu
Jun Zhu
Eric P. Xing
GAN
31
53
0
02 Nov 2017
Max-Margin Deep Generative Models for (Semi-)Supervised Learning
Max-Margin Deep Generative Models for (Semi-)Supervised Learning
Chongxuan Li
Jun Zhu
Bo Zhang
AI4CE
32
42
0
22 Nov 2016
Variational Autoencoder for Deep Learning of Images, Labels and Captions
Variational Autoencoder for Deep Learning of Images, Labels and Captions
Yunchen Pu
Zhe Gan
Ricardo Henao
Xin Yuan
Chunyuan Li
Andrew Stevens
Lawrence Carin
BDL
CoGe
28
746
0
28 Sep 2016
Factored Temporal Sigmoid Belief Networks for Sequence Learning
Factored Temporal Sigmoid Belief Networks for Sequence Learning
Jiaming Song
Zhe Gan
Lawrence Carin
16
10
0
22 May 2016
Towards Better Analysis of Deep Convolutional Neural Networks
Towards Better Analysis of Deep Convolutional Neural Networks
Mengchen Liu
Jiaxin Shi
Zerui Li
Chongxuan Li
Jun Zhu
Shixia Liu
HAI
39
470
0
24 Apr 2016
Learning to Generate with Memory
Learning to Generate with Memory
Chongxuan Li
Jun Zhu
Bo Zhang
BDL
16
42
0
24 Feb 2016
Bayesian Inference with Posterior Regularization and applications to
  Infinite Latent SVMs
Bayesian Inference with Posterior Regularization and applications to Infinite Latent SVMs
Jun Zhu
Ning Chen
Eric P. Xing
BDL
67
157
0
05 Oct 2012
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