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Multi-Label Contrastive Learning for Abstract Visual Reasoning

Multi-Label Contrastive Learning for Abstract Visual Reasoning

3 December 2020
Mikolaj Malkiñski
Jacek Mańdziuk
ArXivPDFHTML

Papers citing "Multi-Label Contrastive Learning for Abstract Visual Reasoning"

33 / 33 papers shown
Title
GenVP: Generating Visual Puzzles with Contrastive Hierarchical VAEs
GenVP: Generating Visual Puzzles with Contrastive Hierarchical VAEs
Kalliopi Basioti
Pritish Sahu
Qingze Tony Liu
Zihao Xu
Hao Wang
Vladimir Pavlovic
57
0
0
30 Mar 2025
Multi-level Supervised Contrastive Learning
Multi-level Supervised Contrastive Learning
Naghmeh Ghanooni
Barbod Pajoum
Harshit Rawal
Sophie Fellenz
Vo Nguyen Le Duy
Marius Kloft
148
0
0
04 Feb 2025
Multi-label Contrastive Predictive Coding
Multi-label Contrastive Predictive Coding
Jiaming Song
Stefano Ermon
SSL
VLM
45
50
0
20 Jul 2020
The Scattering Compositional Learner: Discovering Objects, Attributes,
  Relationships in Analogical Reasoning
The Scattering Compositional Learner: Discovering Objects, Attributes, Relationships in Analogical Reasoning
Yuhuai Wu
Honghua Dong
Roger C. Grosse
Jimmy Ba
CoGe
54
67
0
08 Jul 2020
Abstract Diagrammatic Reasoning with Multiplex Graph Networks
Abstract Diagrammatic Reasoning with Multiplex Graph Networks
Duo Wang
M. Jamnik
Pietro Lio
32
66
0
19 Jun 2020
Self-Supervised Relational Reasoning for Representation Learning
Self-Supervised Relational Reasoning for Representation Learning
Massimiliano Patacchiola
Amos Storkey
OOD
SSL
40
63
0
10 Jun 2020
DeCLUTR: Deep Contrastive Learning for Unsupervised Textual
  Representations
DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations
John Giorgi
Osvald Nitski
Bo Wang
Gary D. Bader
SSL
88
494
0
05 Jun 2020
Understanding Contrastive Representation Learning through Alignment and
  Uniformity on the Hypersphere
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere
Tongzhou Wang
Phillip Isola
SSL
115
1,808
0
20 May 2020
What Makes for Good Views for Contrastive Learning?
What Makes for Good Views for Contrastive Learning?
Yonglong Tian
Chen Sun
Ben Poole
Dilip Krishnan
Cordelia Schmid
Phillip Isola
SSL
80
1,313
0
20 May 2020
Supervised Contrastive Learning
Supervised Contrastive Learning
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
SSL
127
4,505
0
23 Apr 2020
CURL: Contrastive Unsupervised Representations for Reinforcement
  Learning
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
A. Srinivas
Michael Laskin
Pieter Abbeel
SSL
DRL
OffRL
75
1,073
0
08 Apr 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
436
3,397
0
09 Mar 2020
Stratified Rule-Aware Network for Abstract Visual Reasoning
Stratified Rule-Aware Network for Abstract Visual Reasoning
Sheng Hu
Yuqing Ma
Xianglong Liu
Yanlu Wei
Shihao Bai
34
102
0
17 Feb 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
293
18,607
0
13 Feb 2020
Abstract Reasoning with Distracting Features
Abstract Reasoning with Distracting Features
Kecheng Zheng
Zhengjun Zha
Wei Wei
57
72
0
02 Dec 2019
Learning Perceptual Inference by Contrasting
Learning Perceptual Inference by Contrasting
Chi Zhang
Baoxiong Jia
Feng Gao
Yixin Zhu
Hongjing Lu
Song-Chun Zhu
LRM
50
108
0
29 Nov 2019
Contrastive Learning of Structured World Models
Contrastive Learning of Structured World Models
Thomas Kipf
Elise van der Pol
Max Welling
OCL
DRL
65
279
0
27 Nov 2019
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
145
12,007
0
13 Nov 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
179
1,463
0
03 Jun 2019
RAVEN: A Dataset for Relational and Analogical Visual rEasoNing
RAVEN: A Dataset for Relational and Analogical Visual rEasoNing
Chi Zhang
Feng Gao
Baoxiong Jia
Yixin Zhu
Song-Chun Zhu
AIMat
64
306
0
07 Mar 2019
Learning to Make Analogies by Contrasting Abstract Relational Structure
Learning to Make Analogies by Contrasting Abstract Relational Structure
Felix Hill
Adam Santoro
David Barrett
Ari S. Morcos
Timothy Lillicrap
NAI
43
98
0
31 Jan 2019
Albumentations: fast and flexible image augmentations
Albumentations: fast and flexible image augmentations
A. Buslaev
Alex Parinov
Eugene Khvedchenya
V. Iglovikov
Alexandr A Kalinin
122
1,958
0
18 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
SSL
DRL
273
2,649
0
20 Aug 2018
Measuring abstract reasoning in neural networks
Measuring abstract reasoning in neural networks
David Barrett
Felix Hill
Adam Santoro
Ari S. Morcos
Timothy Lillicrap
OOD
69
359
0
11 Jul 2018
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRL
SSL
262
10,152
0
10 Jul 2018
Unsupervised Feature Learning via Non-Parametric Instance-level
  Discrimination
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
SSL
160
3,437
0
05 May 2018
IQ of Neural Networks
IQ of Neural Networks
Dokhyam Hoshen
M. Werman
51
44
0
29 Sep 2017
A simple neural network module for relational reasoning
A simple neural network module for relational reasoning
Adam Santoro
David Raposo
David Barrett
Mateusz Malinowski
Razvan Pascanu
Peter W. Battaglia
Timothy Lillicrap
GNN
NAI
143
1,610
0
05 Jun 2017
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary
  Visual Reasoning
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
Justin Johnson
B. Hariharan
Laurens van der Maaten
Li Fei-Fei
C. L. Zitnick
Ross B. Girshick
CoGe
283
2,346
0
20 Dec 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.6K
192,638
0
10 Dec 2015
Yin and Yang: Balancing and Answering Binary Visual Questions
Yin and Yang: Balancing and Answering Binary Visual Questions
Peng Zhang
Yash Goyal
D. Summers-Stay
Dhruv Batra
Devi Parikh
CoGe
87
352
0
16 Nov 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.3K
149,474
0
22 Dec 2014
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
330
33,445
0
16 Oct 2013
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