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. 1411.7783
  4. Cited By
From neural PCA to deep unsupervised learning

From neural PCA to deep unsupervised learning

28 November 2014
Harri Valpola
    BDL
ArXivPDFHTML

Papers citing "From neural PCA to deep unsupervised learning"

21 / 21 papers shown
Title
On Efficient Real-Time Semantic Segmentation: A Survey
On Efficient Real-Time Semantic Segmentation: A Survey
Christopher J. Holder
Muhammad Shafique
SSeg
23
20
0
17 Jun 2022
Collective Decision of One-vs-Rest Networks for Open Set Recognition
Collective Decision of One-vs-Rest Networks for Open Set Recognition
Jaeyeon Jang
Chang Ouk Kim
35
25
0
18 Mar 2021
Trust Issues: Uncertainty Estimation Does Not Enable Reliable OOD
  Detection On Medical Tabular Data
Trust Issues: Uncertainty Estimation Does Not Enable Reliable OOD Detection On Medical Tabular Data
Dennis Ulmer
L. Meijerink
Giovanni Cina
OOD
13
64
0
06 Nov 2020
Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection
Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection
Cong Chen
Shouyang Dong
Ye Tian
K. Cao
Li Liu
Yuanhao Guo
28
28
0
13 Jul 2020
Consistency Regularization with Generative Adversarial Networks for
  Semi-Supervised Learning
Consistency Regularization with Generative Adversarial Networks for Semi-Supervised Learning
Zexi Chen
B. Ramachandra
Ranga Raju Vatsavai
GAN
36
1
0
08 Jul 2020
An Overview of Deep Semi-Supervised Learning
An Overview of Deep Semi-Supervised Learning
Yassine Ouali
C´eline Hudelot
Myriam Tami
SSL
HAI
27
294
0
09 Jun 2020
SESS: Self-Ensembling Semi-Supervised 3D Object Detection
SESS: Self-Ensembling Semi-Supervised 3D Object Detection
Na Zhao
Tat-Seng Chua
Gim Hee Lee
3DPC
21
125
0
26 Dec 2019
Deep Learning for Optimal Deployment of UAVs with Visible Light
  Communications
Deep Learning for Optimal Deployment of UAVs with Visible Light Communications
Yining Wang
Mingzhe Chen
Zhaohui Yang
T. Luo
Walid Saad
27
94
0
28 Nov 2019
Deep CNN-based Multi-task Learning for Open-Set Recognition
Deep CNN-based Multi-task Learning for Open-Set Recognition
Poojan Oza
Vishal M. Patel
24
35
0
07 Mar 2019
When Semi-Supervised Learning Meets Transfer Learning: Training
  Strategies, Models and Datasets
When Semi-Supervised Learning Meets Transfer Learning: Training Strategies, Models and Datasets
Hong-Yu Zhou
Avital Oliver
Jianxin Wu
Yefeng Zheng
24
22
0
13 Dec 2018
Robust Semantic Segmentation with Ladder-DenseNet Models
Robust Semantic Segmentation with Ladder-DenseNet Models
Ivan Kreso
Marin Orsic
Petra Bevandić
Sinisa Segvic
SSeg
17
12
0
09 Jun 2018
Ladder Networks for Emotion Recognition: Using Unsupervised Auxiliary
  Tasks to Improve Predictions of Emotional Attributes
Ladder Networks for Emotion Recognition: Using Unsupervised Auxiliary Tasks to Improve Predictions of Emotional Attributes
Srinivas Parthasarathy
Carlos Busso
17
45
0
28 Apr 2018
Global versus Localized Generative Adversarial Nets
Global versus Localized Generative Adversarial Nets
Guo-Jun Qi
Liheng Zhang
Hao Hu
Marzieh Edraki
Jingdong Wang
Xian-Sheng Hua
GAN
32
81
0
16 Nov 2017
Recurrent Ladder Networks
Recurrent Ladder Networks
Isabeau Prémont-Schwarz
Alexander Ilin
T. Hao
Antti Rasmus
Rinu Boney
Harri Valpola
32
41
0
28 Jul 2017
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities
Guo-Jun Qi
GAN
27
349
0
23 Jan 2017
Stacked Generative Adversarial Networks
Stacked Generative Adversarial Networks
Xun Huang
Yixuan Li
Omid Poursaeed
J. Hopcroft
Serge J. Belongie
GAN
22
458
0
13 Dec 2016
Video Ladder Networks
Video Ladder Networks
Francesco Cricri
Xingyang Ni
Mikko Honkala
Emre B. Aksu
Moncef Gabbouj
33
27
0
06 Dec 2016
Deep Predictive Coding Networks for Video Prediction and Unsupervised
  Learning
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
William Lotter
Gabriel Kreiman
David D. Cox
SSL
52
927
0
25 May 2016
A Semisupervised Approach for Language Identification based on Ladder
  Networks
A Semisupervised Approach for Language Identification based on Ladder Networks
Ehud Ben-Reuven
Jacob Goldberger
17
5
0
01 Apr 2016
Learning to Generate with Memory
Learning to Generate with Memory
Chongxuan Li
Jun Zhu
Bo Zhang
BDL
18
42
0
24 Feb 2016
Lateral Connections in Denoising Autoencoders Support Supervised
  Learning
Lateral Connections in Denoising Autoencoders Support Supervised Learning
Antti Rasmus
Harri Valpola
T. Raiko
30
22
0
30 Apr 2015
1