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Multi-Object Representation Learning with Iterative Variational
  Inference

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
ArXivPDFHTML

Papers citing "Multi-Object Representation Learning with Iterative Variational Inference"

50 / 353 papers shown
Title
GENESIS-V2: Inferring Unordered Object Representations without Iterative
  Refinement
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Generative Adversarial Transformers
Generative Adversarial Transformers
Drew A. Hudson
C. L. Zitnick
ViT
25
179
0
01 Mar 2021
Learning Proposals for Probabilistic Programs with Inference Combinators
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
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
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
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
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
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
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
Evaluating Disentanglement of Structured Representations
Raphaël Dang-Nhu
OCL
26
5
0
11 Jan 2021
Language-Mediated, Object-Centric Representation Learning
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
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
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
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
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
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
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
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
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
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
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
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
Generative Neurosymbolic Machines
Jindong Jiang
Sungjin Ahn
BDL
OCL
225
68
0
23 Oct 2020
Iterative Amortized Policy Optimization
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
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
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
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
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
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
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
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
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
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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