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1903.00450
Cited By
Multi-Object Representation Learning with Iterative Variational Inference
1 March 2019
Klaus Greff
Raphael Lopez Kaufman
Rishabh Kabra
Nicholas Watters
Christopher P. Burgess
Daniel Zoran
Loic Matthey
M. Botvinick
Alexander Lerchner
OCL
SSL
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Papers citing
"Multi-Object Representation Learning with Iterative Variational Inference"
50 / 353 papers shown
Title
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement
Martin Engelcke
Oiwi Parker Jones
Ingmar Posner
OCL
37
115
0
20 Apr 2021
Self-supervised Video Object Segmentation by Motion Grouping
Charig Yang
Hala Lamdouar
Erika Lu
Andrew Zisserman
Weidi Xie
VOS
OCL
30
157
0
15 Apr 2021
Jointly Learning Truth-Conditional Denotations and Groundings using Parallel Attention
Leon Bergen
Dzmitry Bahdanau
Timothy J. O'Donnell
FedML
20
1
0
14 Apr 2021
GATSBI: Generative Agent-centric Spatio-temporal Object Interaction
Cheol-Hui Min
Jinseok Bae
Junho Lee
Y. Kim
19
7
0
09 Apr 2021
Track, Check, Repeat: An EM Approach to Unsupervised Tracking
Adam W. Harley
Yiming Zuo
Jing Wen
Ayush Mangal
Shubhankar Potdar
Ritwick Chaudhry
Katerina Fragkiadaki
28
9
0
07 Apr 2021
Decomposing 3D Scenes into Objects via Unsupervised Volume Segmentation
Karl Stelzner
Kristian Kersting
Adam R. Kosiorek
38
107
0
02 Apr 2021
Learning Foreground-Background Segmentation from Improved Layered GANs
Yu Yang
Hakan Bilen
Qiran Zou
Wing Yin Cheung
Xian-Wei Ji
GAN
SSeg
18
14
0
01 Apr 2021
SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data
Jinwoo Kim
Jaehoon Yoo
Juho Lee
Seunghoon Hong
BDL
DRL
3DPC
35
79
0
29 Mar 2021
Knowledge-Guided Object Discovery with Acquired Deep Impressions
Jinyang Yuan
Bin Li
Xiangyang Xue
OCL
35
6
0
19 Mar 2021
PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning
Yunbo Wang
Haixu Wu
Jianjin Zhang
Zhifeng Gao
Jianmin Wang
Philip S. Yu
Mingsheng Long
28
380
0
17 Mar 2021
A Whole Brain Probabilistic Generative Model: Toward Realizing Cognitive Architectures for Developmental Robots
T. Taniguchi
Hiroshi Yamakawa
Takayuki Nagai
Kenji Doya
M. Sakagami
Masahiro Suzuki
Tomoaki Nakamura
Akira Taniguchi
28
23
0
15 Mar 2021
Unknown Object Segmentation from Stereo Images
M. Durner
W. Boerdijk
M. Sundermeyer
W. Friedl
Zoltán-Csaba Márton
Rudolph Triebel
34
34
0
11 Mar 2021
Variable-rate discrete representation learning
Sander Dieleman
C. Nash
Jesse Engel
Karen Simonyan
BDL
DRL
32
23
0
10 Mar 2021
Self-Supervision by Prediction for Object Discovery in Videos
Beril Besbinar
P. Frossard
SSL
31
7
0
09 Mar 2021
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
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
Bohan Wu
Suraj Nair
Roberto Martin-Martin
Li Fei-Fei
Chelsea Finn
DRL
27
99
0
06 Mar 2021
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
Generative Adversarial Transformers
Drew A. Hudson
C. L. Zitnick
ViT
25
179
0
01 Mar 2021
Learning Proposals for Probabilistic Programs with Inference Combinators
Sam Stites
Heiko Zimmermann
Hao Wu
Eli Sennesh
Jan-Willem van de Meent
NAI
17
14
0
01 Mar 2021
HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem Solving
Sirui Xie
Xiaojian Ma
Peiyu Yu
Yixin Zhu
Ying Nian Wu
Song-Chun Zhu
42
20
0
22 Feb 2021
Towards Causal Representation Learning
Bernhard Schölkopf
Francesco Locatello
Stefan Bauer
Nan Rosemary Ke
Nal Kalchbrenner
Anirudh Goyal
Yoshua Bengio
OOD
CML
AI4CE
43
318
0
22 Feb 2021
Towards Building A Group-based Unsupervised Representation Disentanglement Framework
Tao Yang
Xuanchi Ren
Yuwang Wang
W. Zeng
Nanning Zheng
CoGe
DRL
24
27
0
20 Feb 2021
Multi-Task Reinforcement Learning with Context-based Representations
Shagun Sodhani
Amy Zhang
Joelle Pineau
32
182
0
11 Feb 2021
Inducing Meaningful Units from Character Sequences with Dynamic Capacity Slot Attention
Melika Behjati
James Henderson
OCL
26
1
0
01 Feb 2021
Understanding in Artificial Intelligence
S. Maetschke
D. M. Iraola
Pieter Barnard
Elaheh Shafieibavani
Peter Zhong
Ying Xu
Antonio Jimeno Yepes
ELM
VLM
24
0
0
17 Jan 2021
Evaluating Disentanglement of Structured Representations
Raphaël Dang-Nhu
OCL
26
5
0
11 Jan 2021
Language-Mediated, Object-Centric Representation Learning
Ruocheng Wang
Jiayuan Mao
S. Gershman
Jiajun Wu
16
12
0
31 Dec 2020
Causal World Models by Unsupervised Deconfounding of Physical Dynamics
Minne Li
Mengyue Yang
Furui Liu
Xu Chen
Zhitang Chen
Jun Wang
SyDa
CML
33
12
0
28 Dec 2020
Attention over learned object embeddings enables complex visual reasoning
David Ding
Felix Hill
Adam Santoro
Malcolm Reynolds
M. Botvinick
OCL
22
69
0
15 Dec 2020
On the Binding Problem in Artificial Neural Networks
Klaus Greff
Sjoerd van Steenkiste
Jürgen Schmidhuber
OCL
233
255
0
09 Dec 2020
Inductive Biases for Deep Learning of Higher-Level Cognition
Anirudh Goyal
Yoshua Bengio
AI4CE
18
347
0
30 Nov 2020
Self-supervised Visual Reinforcement Learning with Object-centric Representations
Andrii Zadaianchuk
Maximilian Seitzer
Georg Martius
SSL
OCL
27
41
0
29 Nov 2020
Unsupervised part representation by Flow Capsules
S. Sabour
Andrea Tagliasacchi
S. Yazdani
Geoffrey E. Hinton
David J. Fleet
3DPC
OCL
30
37
0
27 Nov 2020
Unsupervised Object Keypoint Learning using Local Spatial Predictability
Anand Gopalakrishnan
Sjoerd van Steenkiste
Jürgen Schmidhuber
SSL
31
21
0
25 Nov 2020
CellSegmenter: unsupervised representation learning and instance segmentation of modular images
L. DÁlessio
M. Babadi
6
1
0
25 Nov 2020
GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields
Michael Niemeyer
Andreas Geiger
OCL
86
954
0
24 Nov 2020
Learning Object-Centric Video Models by Contrasting Sets
Sindy Löwe
Klaus Greff
Rico Jonschkowski
Alexey Dosovitskiy
Thomas Kipf
SSL
OCL
14
24
0
20 Nov 2020
Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals
Tongzhou Mu
Jiayuan Gu
Zhiwei Jia
Hao Tang
Hao Su
27
13
0
26 Oct 2020
Generative Neurosymbolic Machines
Jindong Jiang
Sungjin Ahn
BDL
OCL
225
68
0
23 Oct 2020
Iterative Amortized Policy Optimization
Joseph Marino
Alexandre Piché
Alessandro Davide Ialongo
Yisong Yue
OffRL
63
21
0
20 Oct 2020
Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers
Alex Lamb
Anirudh Goyal
A. Slowik
Michael C. Mozer
Philippe Beaudoin
Yoshua Bengio
11
3
0
15 Oct 2020
Weakly Supervised Learning of Multi-Object 3D Scene Decompositions Using Deep Shape Priors
Cathrin Elich
Martin R. Oswald
Marc Pollefeys
Joerg Stueckler
OCL
3DPC
3DV
14
12
0
08 Oct 2020
Hierarchical Relational Inference
Aleksandar Stanić
Sjoerd van Steenkiste
Jürgen Schmidhuber
OCL
32
15
0
07 Oct 2020
Improving Generative Imagination in Object-Centric World Models
Zhixuan Lin
Yi-Fu Wu
Skand Peri
Bofeng Fu
Jindong Jiang
Sungjin Ahn
OCL
27
80
0
05 Oct 2020
Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural Networks
Iulia Duta
Andrei Liviu Nicolicioiu
Marius Leordeanu
26
6
0
17 Sep 2020
Unsupervised Discovery of 3D Physical Objects from Video
Yilun Du
Kevin A. Smith
Tomer Ulman
J. Tenenbaum
Jiajun Wu
OCL
118
38
0
24 Jul 2020
MIXÉM: Unsupervised Image Classification using a Mixture of Embeddings
Ali Varamesh
Tinne Tuytelaars
VLM
27
4
0
18 Jul 2020
Slot Contrastive Networks: A Contrastive Approach for Representing Objects
Evan Racah
Sarath Chandar
OCL
DRL
21
14
0
18 Jul 2020
AlignNet: Unsupervised Entity Alignment
Antonia Creswell
Kyriacos Nikiforou
Oriol Vinyals
Andre Saraiva
Rishabh Kabra
...
Christopher P. Burgess
Malcolm Reynolds
Richard Tanburn
M. Garnelo
Murray Shanahan
VOS
3DPC
OCL
12
14
0
17 Jul 2020
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