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Contrastive Learning of Structured World Models

Contrastive Learning of Structured World Models

27 November 2019
Thomas Kipf
Elise van der Pol
Max Welling
    OCL
    DRL
ArXivPDFHTML

Papers citing "Contrastive Learning of Structured World Models"

25 / 75 papers shown
Title
Discrete-Valued Neural Communication
Discrete-Valued Neural Communication
Dianbo Liu DianboLiu
Alex Lamb
Kenji Kawaguchi
Anirudh Goyal
Chen Sun
Michael C. Mozer
Yoshua Bengio
23
50
0
06 Jul 2021
Low-Dimensional State and Action Representation Learning with MDP
  Homomorphism Metrics
Low-Dimensional State and Action Representation Learning with MDP Homomorphism Metrics
N. Botteghi
M. Poel
B. Sirmaçek
C. Brune
21
3
0
04 Jul 2021
Systematic Evaluation of Causal Discovery in Visual Model Based
  Reinforcement Learning
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
Nan Rosemary Ke
Aniket Didolkar
Sarthak Mittal
Anirudh Goyal
Guillaume Lajoie
Stefan Bauer
Danilo Jimenez Rezende
Yoshua Bengio
Michael C. Mozer
C. Pal
CML
29
54
0
02 Jul 2021
CLINE: Contrastive Learning with Semantic Negative Examples for Natural
  Language Understanding
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding
Dong Wang
Ning Ding
Pijian Li
Haitao Zheng
AAML
37
115
0
01 Jul 2021
Investigating the Role of Negatives in Contrastive Representation
  Learning
Investigating the Role of Negatives in Contrastive Representation Learning
Jordan T. Ash
Surbhi Goel
A. Krishnamurthy
Dipendra Kumar Misra
SSL
29
49
0
18 Jun 2021
Learning Knowledge Graph-based World Models of Textual Environments
Learning Knowledge Graph-based World Models of Textual Environments
Prithviraj Ammanabrolu
Mark O. Riedl
3DV
26
31
0
17 Jun 2021
Physion: Evaluating Physical Prediction from Vision in Humans and
  Machines
Physion: Evaluating Physical Prediction from Vision in Humans and Machines
Daniel M. Bear
E. Wang
Damian Mrowca
Felix Binder
Hsiau-Yu Fish Tung
...
Li Fei-Fei
Nancy Kanwisher
J. Tenenbaum
Daniel L. K. Yamins
Judith E. Fan
OOD
58
87
0
15 Jun 2021
Which Mutual-Information Representation Learning Objectives are
  Sufficient for Control?
Which Mutual-Information Representation Learning Objectives are Sufficient for Control?
Kate Rakelly
Abhishek Gupta
Carlos Florensa
Sergey Levine
SSL
26
38
0
14 Jun 2021
Exploration and preference satisfaction trade-off in reward-free
  learning
Exploration and preference satisfaction trade-off in reward-free learning
Noor Sajid
P. Tigas
Alexey Zakharov
Z. Fountas
Karl J. Friston
14
20
0
08 Jun 2021
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for
  Reinforcement Learning
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning
Tao Yu
Cuiling Lan
Wenjun Zeng
Mingxiao Feng
Zhizheng Zhang
Zhibo Chen
OffRL
20
46
0
08 Jun 2021
Learning Latent Graph Dynamics for Visual Manipulation of Deformable
  Objects
Learning Latent Graph Dynamics for Visual Manipulation of Deformable Objects
Xiao Ma
David Hsu
W. Lee
AI4CE
34
28
0
25 Apr 2021
Unsupervised Object-Based Transition Models for 3D Partially Observable
  Environments
Unsupervised Object-Based Transition Models for 3D Partially Observable Environments
Antonia Creswell
Rishabh Kabra
Christopher P. Burgess
Murray Shanahan
OCL
30
29
0
08 Mar 2021
DMotion: Robotic Visuomotor Control with Unsupervised Forward Model
  Learned from Videos
DMotion: Robotic Visuomotor Control with Unsupervised Forward Model Learned from Videos
Haoqi Yuan
Ruihai Wu
Andrew Zhao
Hanwang Zhang
Zihan Ding
Hao Dong
19
3
0
07 Mar 2021
Greedy Hierarchical Variational Autoencoders for Large-Scale Video
  Prediction
Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction
Bohan Wu
Suraj Nair
Roberto Martin-Martin
Li Fei-Fei
Chelsea Finn
DRL
27
99
0
06 Mar 2021
Enabling Visual Action Planning for Object Manipulation through Latent
  Space Roadmap
Enabling Visual Action Planning for Object Manipulation through Latent Space Roadmap
M. Lippi
Petra Poklukar
Michael C. Welle
Anastasia Varava
Hang Yin
Alessandro Marino
Danica Kragic
21
13
0
03 Mar 2021
Neural Production Systems: Learning Rule-Governed Visual Dynamics
Neural Production Systems: Learning Rule-Governed Visual Dynamics
Anirudh Goyal
Aniket Didolkar
Nan Rosemary Ke
Charles Blundell
Philippe Beaudoin
N. Heess
Michael C. Mozer
Yoshua Bengio
OCL
50
82
0
02 Mar 2021
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
25
115
0
16 Dec 2020
Self-supervised Visual Reinforcement Learning with Object-centric
  Representations
Self-supervised Visual Reinforcement Learning with Object-centric Representations
Andrii Zadaianchuk
Maximilian Seitzer
Georg Martius
SSL
OCL
27
41
0
29 Nov 2020
CAPT: Contrastive Pre-Training for Learning Denoised Sequence
  Representations
CAPT: Contrastive Pre-Training for Learning Denoised Sequence Representations
Fuli Luo
Pengcheng Yang
Shicheng Li
Xuancheng Ren
Xu Sun
VLM
SSL
13
16
0
13 Oct 2020
Learning Long-term Visual Dynamics with Region Proposal Interaction
  Networks
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks
Haozhi Qi
Xiaolong Wang
Deepak Pathak
Yi Ma
Jitendra Malik
28
57
0
05 Aug 2020
Slot Contrastive Networks: A Contrastive Approach for Representing
  Objects
Slot Contrastive Networks: A Contrastive Approach for Representing Objects
Evan Racah
Sarath Chandar
OCL
DRL
21
14
0
18 Jul 2020
Contrastive Learning for Debiased Candidate Generation in Large-Scale
  Recommender Systems
Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems
Chang Zhou
Jianxin Ma
Jianwei Zhang
Jingren Zhou
Hongxia Yang
18
142
0
20 May 2020
Convergence of End-to-End Training in Deep Unsupervised Contrastive
  Learning
Convergence of End-to-End Training in Deep Unsupervised Contrastive Learning
Zixin Wen
SSL
21
2
0
17 Feb 2020
A Compositional Object-Based Approach to Learning Physical Dynamics
A Compositional Object-Based Approach to Learning Physical Dynamics
Michael Chang
T. Ullman
Antonio Torralba
J. Tenenbaum
AI4CE
OCL
241
438
0
01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
280
1,400
0
01 Dec 2016
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