ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2208.10847
  4. Cited By
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

23 August 2022
Xiangyi Kong
Xiaoyu Jiang
Bingxin Zhang
Jinsong Yuan
Zhiqiang Ge
ArXivPDFHTML

Papers citing "Latent Variable Models in the Era of Industrial Big Data: Extension and Beyond"

15 / 15 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
243
30,108
0
01 Mar 2022
Exploring and Distilling Posterior and Prior Knowledge for Radiology
  Report Generation
Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation
Fenglin Liu
Xian Wu
Shen Ge
Wei Fan
Yuexian Zou
MedIm
66
256
0
13 Jun 2021
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.6K
94,729
0
11 Oct 2018
A Survey of Machine and Deep Learning Methods for Internet of Things
  (IoT) Security
A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security
M. Al-garadi
Amr M. Mohamed
A. Al-Ali
Xiaojiang Du
Mohsen Guizani
63
815
0
29 Jul 2018
GAN-based Synthetic Medical Image Augmentation for increased CNN
  Performance in Liver Lesion Classification
GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification
Maayan Frid-Adar
I. Diamant
Eyal Klang
Michal Amitai
Jacob Goldberger
H. Greenspan
GAN
MedIm
72
1,559
0
03 Mar 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
656
131,414
0
12 Jun 2017
Causal Effect Inference with Deep Latent-Variable Models
Causal Effect Inference with Deep Latent-Variable Models
Christos Louizos
Uri Shalit
Joris Mooij
David Sontag
R. Zemel
Max Welling
CML
BDL
194
741
0
24 May 2017
Foundations of Structural Causal Models with Cycles and Latent Variables
Foundations of Structural Causal Models with Cycles and Latent Variables
Stephan Bongers
Patrick Forré
J. Peters
Joris M. Mooij
52
165
0
18 Nov 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.1K
193,814
0
10 Dec 2015
Denoising Criterion for Variational Auto-Encoding Framework
Denoising Criterion for Variational Auto-Encoding Framework
Daniel Jiwoong Im
Sungjin Ahn
Roland Memisevic
Yoshua Bengio
69
195
0
19 Nov 2015
NICE: Non-linear Independent Components Estimation
NICE: Non-linear Independent Components Estimation
Laurent Dinh
David M. Krueger
Yoshua Bengio
DRL
BDL
121
2,257
0
30 Oct 2014
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
397
20,528
0
10 Sep 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
433
16,944
0
20 Dec 2013
k-Sparse Autoencoders
k-Sparse Autoencoders
Alireza Makhzani
Brendan J. Frey
92
451
0
19 Dec 2013
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
348
25,621
0
09 Jun 2011
1