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2103.01937
Cited By
Neural Production Systems: Learning Rule-Governed Visual Dynamics
2 March 2021
Anirudh Goyal
Aniket Didolkar
Nan Rosemary Ke
Charles Blundell
Philippe Beaudoin
N. Heess
Michael C. Mozer
Yoshua Bengio
OCL
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Papers citing
"Neural Production Systems: Learning Rule-Governed Visual Dynamics"
24 / 24 papers shown
Title
A Complexity-Based Theory of Compositionality
Eric Elmoznino
Thomas Jiralerspong
Yoshua Bengio
Guillaume Lajoie
CoGe
56
4
0
18 Oct 2024
Inferring Relational Potentials in Interacting Systems
Armand Comas Massagu´e
Yilun Du
Christian Fernández
S. Ghimire
M. Sznaier
J. Tenenbaum
Octavia Camps
21
4
0
23 Oct 2023
TC-VAE: Uncovering Out-of-Distribution Data Generative Factors
Cristian Meo
Anirudh Goyal
Justin Dauwels
DRL
CoGe
CML
19
1
0
08 Apr 2023
Reusable Slotwise Mechanisms
Trang Nguyen
Amin Mansouri
Kanika Madan
Khuong N. Nguyen
Kartik Ahuja
Dianbo Liu
Yoshua Bengio
OCL
22
4
0
21 Feb 2023
A Short Survey of Systematic Generalization
Yuanpeng Li
AI4CE
22
1
0
22 Nov 2022
Neural Systematic Binder
Gautam Singh
Yeongbin Kim
Sungjin Ahn
OCL
26
36
0
02 Nov 2022
Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning
Dianbo Liu
Vedant Shah
Oussama Boussif
Cristian Meo
Anirudh Goyal
Tianmin Shu
Michael C. Mozer
N. Heess
Yoshua Bengio
22
7
0
04 Oct 2022
Dataset Condensation with Latent Space Knowledge Factorization and Sharing
Haebeom Lee
Dong Bok Lee
Sung Ju Hwang
DD
14
37
0
21 Aug 2022
Assaying Out-Of-Distribution Generalization in Transfer Learning
F. Wenzel
Andrea Dittadi
Peter V. Gehler
Carl-Johann Simon-Gabriel
Max Horn
...
Chris Russell
Thomas Brox
Bernt Schiele
Bernhard Schölkopf
Francesco Locatello
OOD
OODD
AAML
49
71
0
19 Jul 2022
Towards Understanding How Machines Can Learn Causal Overhypotheses
Eliza Kosoy
David M. Chan
Adrian Liu
Jasmine Collins
Bryanna Kaufmann
Sandy Han Huang
Jessica B. Hamrick
John F. Canny
Nan Rosemary Ke
Alison Gopnik
CML
AI4CE
21
18
0
16 Jun 2022
Weakly Supervised Representation Learning with Sparse Perturbations
Kartik Ahuja
Jason S. Hartford
Yoshua Bengio
SSL
30
58
0
02 Jun 2022
Learning What and Where: Disentangling Location and Identity Tracking Without Supervision
Manuel Traub
S. Otte
Tobias Menge
Matthias Karlbauer
Jannik Thummel
Martin Volker Butz
21
20
0
26 May 2022
Binding Actions to Objects in World Models
Ondrej Biza
Robert W. Platt
Jan Willem van de Meent
Lawson L. S. Wong
Thomas Kipf
OCL
11
7
0
27 Apr 2022
Object discovery and representation networks
Olivier J. Hénaff
Skanda Koppula
Evan Shelhamer
Daniel Zoran
Andrew Jaegle
Andrew Zisserman
João Carreira
Relja Arandjelović
33
87
0
16 Mar 2022
Conditional Object-Centric Learning from Video
Thomas Kipf
Gamaleldin F. Elsayed
Aravindh Mahendran
Austin Stone
S. Sabour
G. Heigold
Rico Jonschkowski
Alexey Dosovitskiy
Klaus Greff
OCL
39
214
0
24 Nov 2021
Inductive Biases and Variable Creation in Self-Attention Mechanisms
Benjamin L. Edelman
Surbhi Goel
Sham Kakade
Cyril Zhang
22
115
0
19 Oct 2021
Dynamic Inference with Neural Interpreters
Nasim Rahaman
Muhammad Waleed Gondal
S. Joshi
Peter V. Gehler
Yoshua Bengio
Francesco Locatello
Bernhard Schölkopf
23
31
0
12 Oct 2021
Target Languages (vs. Inductive Biases) for Learning to Act and Plan
Hector Geffner
29
6
0
15 Sep 2021
Knowledge accumulating: The general pattern of learning
Zhuoran Xu
Hao Liu
CLL
16
0
0
09 Aug 2021
Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning
Maxwell Nye
Michael Henry Tessler
J. Tenenbaum
Brenden Lake
29
117
0
06 Jul 2021
Discrete-Valued Neural Communication
Dianbo Liu DianboLiu
Alex Lamb
Kenji Kawaguchi
Anirudh Goyal
Chen Sun
Michael C. Mozer
Yoshua Bengio
13
50
0
06 Jul 2021
Unsupervised Discovery of 3D Physical Objects from Video
Yilun Du
Kevin A. Smith
Tomer Ulman
J. Tenenbaum
Jiajun Wu
OCL
113
37
0
24 Jul 2020
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
278
1,400
0
01 Dec 2016
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
238
3,234
0
24 Nov 2016
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