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Representation Learning with Video Deep InfoMax

Representation Learning with Video Deep InfoMax

27 July 2020
R. Devon Hjelm
Philip Bachman
    SSL
    MDE
ArXivPDFHTML

Papers citing "Representation Learning with Video Deep InfoMax"

50 / 53 papers shown
Title
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCL
SSL
168
4,051
0
17 Jun 2020
Deep Reinforcement and InfoMax Learning
Deep Reinforcement and InfoMax Learning
Bogdan Mazoure
Rémi Tachet des Combes
T. Doan
Philip Bachman
R. Devon Hjelm
AI4CE
56
109
0
12 Jun 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
500
41,106
0
28 May 2020
CURL: Contrastive Unsupervised Representations for Reinforcement
  Learning
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
A. Srinivas
Michael Laskin
Pieter Abbeel
SSL
DRL
OffRL
73
1,073
0
08 Apr 2020
Temporally Coherent Embeddings for Self-Supervised Video Representation
  Learning
Temporally Coherent Embeddings for Self-Supervised Video Representation Learning
Joshua Knights
Ben Harwood
Daniel Ward
Anthony Vanderkop
Olivia Mackenzie-Ross
Peyman Moghadam
AI4TS
35
38
0
21 Mar 2020
Fixing the train-test resolution discrepancy: FixEfficientNet
Fixing the train-test resolution discrepancy: FixEfficientNet
Hugo Touvron
Andrea Vedaldi
Matthijs Douze
Hervé Jégou
AAML
223
110
0
18 Mar 2020
Watching the World Go By: Representation Learning from Unlabeled Videos
Watching the World Go By: Representation Learning from Unlabeled Videos
Daniel Gordon
Kiana Ehsani
Dieter Fox
Ali Farhadi
SSL
AI4TS
72
88
0
18 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
255
18,607
0
13 Feb 2020
Locality and compositionality in zero-shot learning
Locality and compositionality in zero-shot learning
Tristan Sylvain
Linda Petrini
R. Devon Hjelm
50
56
0
20 Dec 2019
Scalability in Perception for Autonomous Driving: Waymo Open Dataset
Scalability in Perception for Autonomous Driving: Waymo Open Dataset
Pei Sun
Henrik Kretzschmar
Xerxes Dotiwalla
Aurelien Chouard
Vijaysai Patnaik
...
Shuyang Cheng
Yu Zhang
Jonathon Shlens
Zhifeng Chen
Dragomir Anguelov
79
2,851
0
10 Dec 2019
Skip-Clip: Self-Supervised Spatiotemporal Representation Learning by
  Future Clip Order Ranking
Skip-Clip: Self-Supervised Spatiotemporal Representation Learning by Future Clip Order Ranking
Alaaeldin El-Nouby
Shuangfei Zhai
Graham W. Taylor
J. Susskind
AI4TS
SSL
CLIP
35
15
0
28 Oct 2019
Segmentation Transformer: Object-Contextual Representations for Semantic
  Segmentation
Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation
Yuhui Yuan
Xiaokang Chen
Xilin Chen
Jingdong Wang
ViT
161
1,407
0
24 Sep 2019
Video Representation Learning by Dense Predictive Coding
Video Representation Learning by Dense Predictive Coding
Tengda Han
Weidi Xie
Andrew Zisserman
SSL
66
360
0
10 Sep 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
408
24,160
0
26 Jul 2019
Large Scale Adversarial Representation Learning
Large Scale Adversarial Representation Learning
Jeff Donahue
Karen Simonyan
SSL
104
542
0
04 Jul 2019
Unsupervised State Representation Learning in Atari
Unsupervised State Representation Learning in Atari
Ankesh Anand
Evan Racah
Sherjil Ozair
Yoshua Bengio
Marc-Alexandre Côté
R. Devon Hjelm
SSL
51
254
0
19 Jun 2019
Contrastive Multiview Coding
Contrastive Multiview Coding
Yonglong Tian
Dilip Krishnan
Phillip Isola
SSL
131
2,385
0
13 Jun 2019
Learning Video Representations using Contrastive Bidirectional
  Transformer
Learning Video Representations using Contrastive Bidirectional Transformer
Chen Sun
Fabien Baradel
Kevin Patrick Murphy
Cordelia Schmid
SSL
ViT
99
133
0
13 Jun 2019
Learning Representations by Maximizing Mutual Information Across Views
Learning Representations by Maximizing Mutual Information Across Views
Philip Bachman
R. Devon Hjelm
William Buchwalter
SSL
157
1,463
0
03 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
121
17,950
0
28 May 2019
On Variational Bounds of Mutual Information
On Variational Bounds of Mutual Information
Ben Poole
Sherjil Ozair
Aaron van den Oord
Alexander A. Alemi
George Tucker
SSL
65
802
0
16 May 2019
Scaling and Benchmarking Self-Supervised Visual Representation Learning
Scaling and Benchmarking Self-Supervised Visual Representation Learning
Priya Goyal
D. Mahajan
Abhinav Gupta
Ishan Misra
SSL
49
397
0
03 May 2019
Temporal Cycle-Consistency Learning
Temporal Cycle-Consistency Learning
Debidatta Dwibedi
Y. Aytar
Jonathan Tompson
P. Sermanet
Andrew Zisserman
SSL
AI4TS
70
275
0
16 Apr 2019
Revisiting Self-Supervised Visual Representation Learning
Revisiting Self-Supervised Visual Representation Learning
Alexander Kolesnikov
Xiaohua Zhai
Lucas Beyer
SSL
122
716
0
25 Jan 2019
SlowFast Networks for Video Recognition
SlowFast Networks for Video Recognition
Christoph Feichtenhofer
Haoqi Fan
Jitendra Malik
Kaiming He
146
3,244
0
10 Dec 2018
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
57
154
0
28 Nov 2018
Probabilistic Object Detection: Definition and Evaluation
Probabilistic Object Detection: Definition and Evaluation
David Hall
Feras Dayoub
John Skinner
Haoyang Zhang
Dimity Miller
Peter Corke
G. Carneiro
A. Angelova
Niko Sünderhauf
UQCV
70
110
0
27 Nov 2018
Self-Supervised Video Representation Learning with Space-Time Cubic
  Puzzles
Self-Supervised Video Representation Learning with Space-Time Cubic Puzzles
Dahun Kim
Donghyeon Cho
In So Kweon
SSL
58
346
0
24 Nov 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock
Jeff Donahue
Karen Simonyan
224
5,363
0
28 Sep 2018
Video Jigsaw: Unsupervised Learning of Spatiotemporal Context for Video
  Action Recognition
Video Jigsaw: Unsupervised Learning of Spatiotemporal Context for Video Action Recognition
Unaiza Ahsan
Rishi Madhok
Irfan Essa
SSL
43
108
0
22 Aug 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
SSL
DRL
252
2,649
0
20 Aug 2018
A Short Note about Kinetics-600
A Short Note about Kinetics-600
João Carreira
Eric Noland
Andras Banki-Horvath
Chloe Hillier
Andrew Zisserman
77
520
0
03 Aug 2018
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRL
SSL
231
10,152
0
10 Jul 2018
Tracking Emerges by Colorizing Videos
Tracking Emerges by Colorizing Videos
Carl Vondrick
Abhinav Shrivastava
Alireza Fathi
S. Guadarrama
Kevin Patrick Murphy
73
376
0
25 Jun 2018
MINE: Mutual Information Neural Estimation
MINE: Mutual Information Neural Estimation
Mohamed Ishmael Belghazi
A. Baratin
Sai Rajeswar
Sherjil Ozair
Yoshua Bengio
Aaron Courville
R. Devon Hjelm
DRL
143
1,264
0
12 Jan 2018
A Closer Look at Spatiotemporal Convolutions for Action Recognition
A Closer Look at Spatiotemporal Convolutions for Action Recognition
Du Tran
Heng Wang
Lorenzo Torresani
Jamie Ray
Yann LeCun
Manohar Paluri
184
3,007
0
30 Nov 2017
Multi-task Self-Supervised Visual Learning
Multi-task Self-Supervised Visual Learning
Carl Doersch
Andrew Zisserman
SSL
64
631
0
25 Aug 2017
Time-Contrastive Networks: Self-Supervised Learning from Video
Time-Contrastive Networks: Self-Supervised Learning from Video
P. Sermanet
Corey Lynch
Yevgen Chebotar
Jasmine Hsu
Eric Jang
S. Schaal
Sergey Levine
SSL
85
822
0
23 Apr 2017
Semantic Scene Completion from a Single Depth Image
Semantic Scene Completion from a Single Depth Image
Shuran Song
Feng Yu
Andy Zeng
Angel X. Chang
Manolis Savva
Thomas Funkhouser
3DV
62
1,235
0
28 Nov 2016
Self-Supervised Video Representation Learning With Odd-One-Out Networks
Self-Supervised Video Representation Learning With Odd-One-Out Networks
Basura Fernando
Hakan Bilen
E. Gavves
Stephen Gould
SSL
37
450
0
21 Nov 2016
Adversarially Learned Inference
Adversarially Learned Inference
Vincent Dumoulin
Ishmael Belghazi
Ben Poole
Olivier Mastropietro
Alex Lamb
Martín Arjovsky
Aaron Courville
GAN
62
1,312
0
02 Jun 2016
Asynchrony begets Momentum, with an Application to Deep Learning
Asynchrony begets Momentum, with an Application to Deep Learning
Jeff Donahue
Philipp Krahenbuhl
Stefan Hadjis
Christopher Ré
82
1,827
0
31 May 2016
Context Encoders: Feature Learning by Inpainting
Context Encoders: Feature Learning by Inpainting
Deepak Pathak
Philipp Krahenbuhl
Jeff Donahue
Trevor Darrell
Alexei A. Efros
SSL
48
5,277
0
25 Apr 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw
  Puzzles
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
M. Noroozi
Paolo Favaro
SSL
135
2,973
0
30 Mar 2016
Colorful Image Colorization
Colorful Image Colorization
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
112
3,527
0
28 Mar 2016
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense
  Image Annotations
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
Ranjay Krishna
Yuke Zhu
Oliver Groth
Justin Johnson
Kenji Hata
...
Yannis Kalantidis
Li Li
David A. Shamma
Michael S. Bernstein
Fei-Fei Li
170
5,706
0
23 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.4K
192,638
0
10 Dec 2015
Unsupervised Visual Representation Learning by Context Prediction
Unsupervised Visual Representation Learning by Context Prediction
Carl Doersch
Abhinav Gupta
Alexei A. Efros
DRL
SSL
153
2,777
0
19 May 2015
Unsupervised Learning of Video Representations using LSTMs
Unsupervised Learning of Video Representations using LSTMs
Nitish Srivastava
Elman Mansimov
Ruslan Salakhutdinov
SSL
115
2,588
0
16 Feb 2015
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.1K
39,383
0
01 Sep 2014
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