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An Analysis of Unsupervised Pre-training in Light of Recent Advances
v1v2v3v4 (latest)

An Analysis of Unsupervised Pre-training in Light of Recent Advances

20 December 2014
T. Paine
Pooya Khorrami
Wei Han
Thomas S. Huang
    SSL
ArXiv (abs)PDFHTML

Papers citing "An Analysis of Unsupervised Pre-training in Light of Recent Advances"

28 / 28 papers shown
Title
OscNet: Machine Learning on CMOS Oscillator Networks
OscNet: Machine Learning on CMOS Oscillator Networks
Wenxiao Cai
Thomas H. Lee
124
2
0
11 Feb 2025
Understanding Optimal Feature Transfer via a Fine-Grained Bias-Variance Analysis
Understanding Optimal Feature Transfer via a Fine-Grained Bias-Variance Analysis
Yufan Li
Subhabrata Sen
Ben Adlam
MLT
175
1
0
18 Apr 2024
Examining the Effect of Pre-training on Time Series Classification
Examining the Effect of Pre-training on Time Series Classification
Jiashu Pu
Shiwei Zhao
Ling Cheng
Yongzhu Chang
Runze Wu
Tangjie Lv
Rongsheng Zhang
AI4TS
107
0
0
11 Sep 2023
Towards Contrastive Learning in Music Video Domain
Towards Contrastive Learning in Music Video Domain
Karel Veldkamp
Mariya Hendriksen
Zoltán Szlávik
Alexander Keijser
SSL
51
2
0
01 Sep 2023
Generative Transfer Learning: Covid-19 Classification with a few Chest
  X-ray Images
Generative Transfer Learning: Covid-19 Classification with a few Chest X-ray Images
Suvarna Kadam
V.G. Vaidya
MedIm
49
1
0
10 Aug 2022
Deep transfer learning for image classification: a survey
Deep transfer learning for image classification: a survey
J. Plested
Tom Gedeon
OOD
75
39
0
20 May 2022
Self-Paced Contrastive Learning for Semi-supervised Medical Image
  Segmentation with Meta-labels
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels
Jizong Peng
Ping Wang
Chrisitian Desrosiers
M. Pedersoli
SSL
89
65
0
29 Jul 2021
Domain Adaptation for Facial Expression Classifier via Domain
  Discrimination and Gradient Reversal
Domain Adaptation for Facial Expression Classifier via Domain Discrimination and Gradient Reversal
Kamill Akhmetov
23
1
0
02 Jun 2021
Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance
  Discrimination
Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination
Peng-Shuai Wang
Yuqi Yang
Qian-Fang Zou
Zhirong Wu
Yang Liu
Xin Tong
3DPC
76
52
0
03 Aug 2020
Image Embedded Segmentation: Uniting Supervised and Unsupervised
  Objectives for Segmenting Histopathological Images
Image Embedded Segmentation: Uniting Supervised and Unsupervised Objectives for Segmenting Histopathological Images
Can Taylan
C. Sokmensuer
C. Gunduz-Demir
107
0
0
30 Jan 2020
Training Neural Networks with Local Error Signals
Training Neural Networks with Local Error Signals
Arild Nøkland
L. Eidnes
105
228
0
20 Jan 2019
TextTopicNet - Self-Supervised Learning of Visual Features Through
  Embedding Images on Semantic Text Spaces
TextTopicNet - Self-Supervised Learning of Visual Features Through Embedding Images on Semantic Text Spaces
Yash J. Patel
L. G. I. Bigorda
Raul Gomez
Marçal Rusiñol
Dimosthenis Karatzas
C. V. Jawahar
SSL
28
8
0
04 Jul 2018
Less is More: Surgical Phase Recognition with Less Annotations through
  Self-Supervised Pre-training of CNN-LSTM Networks
Less is More: Surgical Phase Recognition with Less Annotations through Self-Supervised Pre-training of CNN-LSTM Networks
Gaurav Yengera
Didier Mutter
J. Marescaux
N. Padoy
86
72
0
22 May 2018
Channel-Recurrent Autoencoding for Image Modeling
Channel-Recurrent Autoencoding for Image Modeling
Wenling Shang
Kihyuk Sohn
Yuandong Tian
DRLGAN
27
3
0
12 Jun 2017
Self-supervised learning of visual features through embedding images
  into text topic spaces
Self-supervised learning of visual features through embedding images into text topic spaces
L. G. I. Bigorda
Yash J. Patel
Marçal Rusiñol
Dimosthenis Karatzas
C. V. Jawahar
SSL
72
124
0
24 May 2017
Efficient Convolutional Auto-Encoding via Random Convexification and
  Frequency-Domain Minimization
Efficient Convolutional Auto-Encoding via Random Convexification and Frequency-Domain Minimization
Meshia Cédric Oveneke
Mitchel Aliosha-Pérez
Yong Zhao
Dengyang Jiang
Hichem Sahli
26
4
0
28 Nov 2016
Spatial contrasting for deep unsupervised learning
Spatial contrasting for deep unsupervised learning
Elad Hoffer
Itay Hubara
Nir Ailon
SSL
84
3
0
21 Nov 2016
Unsupervised Pretraining for Sequence to Sequence Learning
Unsupervised Pretraining for Sequence to Sequence Learning
Prajit Ramachandran
Peter J. Liu
Quoc V. Le
SSLAIMat
123
282
0
08 Nov 2016
Deep unsupervised learning through spatial contrasting
Deep unsupervised learning through spatial contrasting
Elad Hoffer
Itay Hubara
Nir Ailon
SSL
88
22
0
02 Oct 2016
Recursive Autoconvolution for Unsupervised Learning of Convolutional
  Neural Networks
Recursive Autoconvolution for Unsupervised Learning of Convolutional Neural Networks
Boris Knyazev
Erhardt Barth
T. Martinetz
SSL
40
0
0
02 Jun 2016
Convolutional Clustering for Unsupervised Learning
Convolutional Clustering for Unsupervised Learning
Aysegül Dündar
Jonghoon Jin
Eugenio Culurciello
SSL
84
84
0
19 Nov 2015
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks
Edward Choi
M. T. Bahadori
A. Schuetz
Walter F. Stewart
Jimeng Sun
221
1,105
0
18 Nov 2015
Do Deep Neural Networks Learn Facial Action Units When Doing Expression
  Recognition?
Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition?
Pooya Khorrami
T. Paine
Thomas S. Huang
CVBM
103
267
0
10 Oct 2015
Denoising without access to clean data using a partitioned autoencoder
Denoising without access to clean data using a partitioned autoencoder
D. Stowell
Richard Turner
50
16
0
20 Sep 2015
Stacked What-Where Auto-encoders
Stacked What-Where Auto-encoders
Jiaqi Zhao
Michaël Mathieu
Ross Goroshin
Yann LeCun
DiffMBDL
125
258
0
08 Jun 2015
Self-Tuned Deep Super Resolution
Self-Tuned Deep Super Resolution
Zhangyang Wang
Yingzhen Yang
Zhaowen Wang
Shiyu Chang
Wei Han
Jianchao Yang
Thomas S. Huang
SupR
79
69
0
22 Apr 2015
Real-World Font Recognition Using Deep Network and Domain Adaptation
Real-World Font Recognition Using Deep Network and Domain Adaptation
Zhangyang Wang
Jianchao Yang
Hailin Jin
Eli Shechtman
A. Agarwala
Jonathan Brandt
Thomas S. Huang
OOD
46
8
0
31 Mar 2015
Decomposition-Based Domain Adaptation for Real-World Font Recognition
Zhangyang Wang
Jianchao Yang
Hailin Jin
Eli Shechtman
A. Agarwala
Jonathan Brandt
Thomas S. Huang
33
1
0
18 Dec 2014
1