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Unsupervised Learning by Predicting Noise

Unsupervised Learning by Predicting Noise

18 April 2017
Piotr Bojanowski
Armand Joulin
    OODSSL
ArXiv (abs)PDFHTML

Papers citing "Unsupervised Learning by Predicting Noise"

23 / 123 papers shown
Title
Self-supervised Visual Feature Learning with Deep Neural Networks: A
  Survey
Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey
Longlong Jing
Yingli Tian
SSL
208
1,705
0
16 Feb 2019
Deep Divergence-Based Approach to Clustering
Deep Divergence-Based Approach to Clustering
Michael C. Kampffmeyer
Sigurd Løkse
F. Bianchi
L. Livi
Arnt-Børre Salberg
Robert Jenssen
59
63
0
13 Feb 2019
Self-Supervised Visual Representations for Cross-Modal Retrieval
Self-Supervised Visual Representations for Cross-Modal Retrieval
Yash J. Patel
Lluís Gómez
Marçal Rusiñol
Dimosthenis Karatzas
C. V. Jawahar
SSL
36
14
0
31 Jan 2019
Hyperspherical Prototype Networks
Hyperspherical Prototype Networks
Pascal Mettes
Elise van der Pol
Cees G. M. Snoek
92
126
0
29 Jan 2019
Surrogate Supervision for Medical Image Analysis: Effective Deep
  Learning From Limited Quantities of Labeled Data
Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data
Nima Tajbakhsh
Yufei Hu
Junli Cao
Xingjian Yan
Yi Xiao
Yong Lu
Jianming Liang
Demetri Terzopoulos
Xiaowei Ding
69
77
0
25 Jan 2019
AET vs. AED: Unsupervised Representation Learning by Auto-Encoding
  Transformations rather than Data
AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations rather than Data
Liheng Zhang
Guo-Jun Qi
Liqiang Wang
Jiebo Luo
64
204
0
14 Jan 2019
Self-Supervised Spatiotemporal Feature Learning via Video Rotation
  Prediction
Self-Supervised Spatiotemporal Feature Learning via Video Rotation Prediction
Longlong Jing
Xiaodong Yang
Jingen Liu
Yingli Tian
77
157
0
28 Nov 2018
Towards a Near Universal Time Series Data Mining Tool: Introducing the
  Matrix Profile
Towards a Near Universal Time Series Data Mining Tool: Introducing the Matrix Profile
Richard T. Marriott
AI4TS
56
11
0
05 Nov 2018
Unsupervised Learning via Meta-Learning
Unsupervised Learning via Meta-Learning
Kyle Hsu
Sergey Levine
Chelsea Finn
SSLOffRL
97
230
0
04 Oct 2018
Déjà Vu: an empirical evaluation of the memorization properties of
  ConvNets
Déjà Vu: an empirical evaluation of the memorization properties of ConvNets
Alexandre Sablayrolles
Matthijs Douze
Cordelia Schmid
Hervé Jégou
49
18
0
17 Sep 2018
Deep Compressive Autoencoder for Action Potential Compression in
  Large-Scale Neural Recording
Deep Compressive Autoencoder for Action Potential Compression in Large-Scale Neural Recording
Tong Wu
Wenfeng Zhao
E. Keefer
Zhi-Xin Yang
13
49
0
14 Sep 2018
Learning deep representations by mutual information estimation and
  maximization
Learning deep representations by mutual information estimation and maximization
R. Devon Hjelm
A. Fedorov
Samuel Lavoie-Marchildon
Karan Grewal
Phil Bachman
Adam Trischler
Yoshua Bengio
SSLDRL
375
2,677
0
20 Aug 2018
Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning
Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning
U. Büchler
Biagio Brattoli
Bjorn Ommer
OODSSL
97
114
0
30 Jul 2018
Cross Pixel Optical Flow Similarity for Self-Supervised Learning
Cross Pixel Optical Flow Similarity for Self-Supervised Learning
Aravindh Mahendran
James Thewlis
Andrea Vedaldi
SSL
87
62
0
15 Jul 2018
Self-Supervised Feature Learning by Learning to Spot Artifacts
Self-Supervised Feature Learning by Learning to Spot Artifacts
Simon Jenni
Paolo Favaro
SSL
205
128
0
13 Jun 2018
Spreading vectors for similarity search
Spreading vectors for similarity search
Alexandre Sablayrolles
Matthijs Douze
Cordelia Schmid
Hervé Jégou
MQ
141
121
0
08 Jun 2018
Unsupervised Alignment of Embeddings with Wasserstein Procrustes
Unsupervised Alignment of Embeddings with Wasserstein Procrustes
Edouard Grave
Armand Joulin
Quentin Berthet
88
199
0
29 May 2018
Meta-Learning Update Rules for Unsupervised Representation Learning
Meta-Learning Update Rules for Unsupervised Representation Learning
Luke Metz
Niru Maheswaranathan
Brian Cheung
Jascha Narain Sohl-Dickstein
SSLOOD
85
123
0
31 Mar 2018
Unsupervised Representation Learning by Predicting Image Rotations
Unsupervised Representation Learning by Predicting Image Rotations
Spyros Gidaris
Praveer Singh
N. Komodakis
OODSSLDRL
275
3,304
0
21 Mar 2018
Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic
  Imagery
Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery
Zhongzheng Ren
Yong Jae Lee
SSLOOD
118
212
0
24 Nov 2017
Improvements to context based self-supervised learning
Improvements to context based self-supervised learning
T. N. Mundhenk
Daniel E. Ho
Barry Y. Chen
SSL
89
120
0
17 Nov 2017
Optimizing the Latent Space of Generative Networks
Optimizing the Latent Space of Generative Networks
Piotr Bojanowski
Armand Joulin
David Lopez-Paz
Arthur Szlam
GAN
109
417
0
18 Jul 2017
A Closer Look at Memorization in Deep Networks
A Closer Look at Memorization in Deep Networks
Devansh Arpit
Stanislaw Jastrzebski
Nicolas Ballas
David M. Krueger
Emmanuel Bengio
...
Tegan Maharaj
Asja Fischer
Aaron Courville
Yoshua Bengio
Simon Lacoste-Julien
TDI
147
1,831
0
16 Jun 2017
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