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1707.03389
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SCAN: Learning Hierarchical Compositional Visual Concepts
11 July 2017
I. Higgins
Nicolas Sonnerat
Loic Matthey
Arka Pal
Christopher P. Burgess
Matko Bosnjak
Murray Shanahan
M. Botvinick
Demis Hassabis
Alexander Lerchner
OCL
DRL
CoGe
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Papers citing
"SCAN: Learning Hierarchical Compositional Visual Concepts"
33 / 33 papers shown
ETHER: Aligning Emergent Communication for Hindsight Experience Replay
Kevin Denamganai
Daniel Hernández
Ozan Vardal
S. Missaoui
James Alfred Walker
274
0
0
28 Jul 2023
Visual Referential Games Further the Emergence of Disentangled Representations
Kevin Denamganai
S. Missaoui
James Alfred Walker
OCL
CoGe
283
6
0
27 Apr 2023
Meta-Referential Games to Learn Compositional Learning Behaviours
Kevin Denamganai
S. Missaoui
James Alfred Walker
646
1
0
16 Jul 2022
RotLSTM: Rotating Memories in Recurrent Neural Networks
Vlad Velici
Adam Prugel-Bennett
RALM
VLM
420
1
0
01 May 2021
On (Emergent) Systematic Generalisation and Compositionality in Visual Referential Games with Straight-Through Gumbel-Softmax Estimator
Kevin Denamganai
James Alfred Walker
372
12
0
19 Dec 2020
CURI: A Benchmark for Productive Concept Learning Under Uncertainty
Ramakrishna Vedantam
Arthur Szlam
Maximilian Nickel
Ari S. Morcos
Brenden M. Lake
UQLM
LRM
211
32
0
06 Oct 2020
Cross-modal variational inference for bijective signal-symbol translation
Axel Chemla-Romeu-Santos
Stavros Ntalampiras
P. Esling
G. Haus
G. Assayag
229
6
0
10 Feb 2020
Locality and compositionality in zero-shot learning
International Conference on Learning Representations (ICLR), 2019
Tristan Sylvain
Linda Petrini
R. Devon Hjelm
223
56
0
20 Dec 2019
Abstract Reasoning with Distracting Features
Neural Information Processing Systems (NeurIPS), 2019
Kecheng Zheng
Zhengjun Zha
Wei Wei
214
80
0
02 Dec 2019
Environmental drivers of systematicity and generalization in a situated agent
International Conference on Learning Representations (ICLR), 2019
Felix Hill
Andrew Kyle Lampinen
R. Schneider
S. Clark
M. Botvinick
James L. McClelland
Adam Santoro
OOD
492
109
0
01 Oct 2019
Dual Encoder-Decoder based Generative Adversarial Networks for Disentangled Facial Representation Learning
IEEE Access (IEEE Access), 2019
Cong Hu
Zhenhua Feng
Xiaojun Wu
J. Kittler
CVBM
GAN
DRL
237
15
0
19 Sep 2019
Balancing Reconstruction Quality and Regularisation in ELBO for VAEs
Shuyu Lin
Stephen J. Roberts
Niki Trigoni
R. Clark
DRL
171
20
0
09 Sep 2019
Learning by Abstraction: The Neural State Machine
Neural Information Processing Systems (NeurIPS), 2019
Drew A. Hudson
Christopher D. Manning
NAI
OCL
595
280
0
09 Jul 2019
Learning World Graphs to Accelerate Hierarchical Reinforcement Learning
Wenling Shang
Alexander R. Trott
Stephan Zheng
Caiming Xiong
R. Socher
279
21
0
01 Jul 2019
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset
Neural Information Processing Systems (NeurIPS), 2019
Muhammad Waleed Gondal
Manuel Wüthrich
Ðorðe Miladinovic
Francesco Locatello
M. Breidt
V. Volchkov
J. Akpo
Olivier Bachem
Bernhard Schölkopf
Stefan Bauer
OOD
DRL
427
163
0
07 Jun 2019
Learning Programmatically Structured Representations with Perceptor Gradients
International Conference on Learning Representations (ICLR), 2019
Svetlin Penkov
S. Ramamoorthy
218
10
0
02 May 2019
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision
Jiayuan Mao
Chuang Gan
Pushmeet Kohli
J. Tenenbaum
Jiajun Wu
NAI
609
815
0
26 Apr 2019
Unsupervised Discovery of Parts, Structure, and Dynamics
Zhenjia Xu
Zhijian Liu
Chen Sun
Kevin Patrick Murphy
William T. Freeman
J. Tenenbaum
Jiajun Wu
OCL
209
62
0
12 Mar 2019
Disentangling and Learning Robust Representations with Natural Clustering
Javier Antorán
A. Miguel
CoGe
OOD
CML
DRL
308
19
0
27 Jan 2019
Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs
Nicholas Watters
Loic Matthey
Christopher P. Burgess
Alexander Lerchner
CoGe
486
184
0
21 Jan 2019
Beyond imitation: Zero-shot task transfer on robots by learning concepts as cognitive programs
Miguel Lázaro-Gredilla
Dianhuan Lin
J. S. Guntupalli
Dileep George
LM&Ro
226
84
0
06 Dec 2018
Concept Learning with Energy-Based Models
International Conference on Learning Representations (ICLR), 2018
William J. Wilkinson
453
27
0
06 Nov 2018
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding
Kexin Yi
Jiajun Wu
Chuang Gan
Antonio Torralba
Pushmeet Kohli
J. Tenenbaum
NAI
453
687
0
04 Oct 2018
Discovering Influential Factors in Variational Autoencoders
Shiqi Liu
Jingxin Liu
Qian Zhao
Xiangyong Cao
Huibin Li
Hongying Meng
Sheng Liu
Deyu Meng
DRL
CML
177
1
0
06 Sep 2018
Small Sample Learning in Big Data Era
Jun Shu
Zongben Xu
Deyu Meng
479
80
0
14 Aug 2018
Measuring abstract reasoning in neural networks
David Barrett
Felix Hill
Adam Santoro
Ari S. Morcos
Timothy Lillicrap
OOD
306
399
0
11 Jul 2018
Dual Swap Disentangling
Zunlei Feng
Xinchao Wang
Chenglong Ke
Anxiang Zeng
Dacheng Tao
Xiuming Zhang
307
45
0
27 May 2018
Understanding disentangling in
β
β
β
-VAE
Christopher P. Burgess
I. Higgins
Arka Pal
Loic Matthey
Nicholas Watters
Guillaume Desjardins
Alexander Lerchner
CoGe
DRL
570
929
0
10 Apr 2018
Learning Disentangled Joint Continuous and Discrete Representations
Emilien Dupont
DRL
598
271
0
31 Mar 2018
The information bottleneck and geometric clustering
Neural Computation (Neural Comput.), 2017
D. Strouse
D. Schwab
177
40
0
27 Dec 2017
Measuring the tendency of CNNs to Learn Surface Statistical Regularities
Jason Jo
Yoshua Bengio
AAML
248
264
0
30 Nov 2017
Generative Models of Visually Grounded Imagination
International Conference on Learning Representations (ICLR), 2017
Ramakrishna Vedantam
Ian S. Fischer
Jonathan Huang
Kevin Patrick Murphy
664
152
0
30 May 2017
Neural Style Transfer: A Review
Yongcheng Jing
Yezhou Yang
Zunlei Feng
Jingwen Ye
Yizhou Yu
Xiuming Zhang
967
848
0
11 May 2017
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