Multi-Object Representation Learning with Iterative Variational Inference

1 March 2019

Klaus Greff

Raphael Lopez Kaufman

Rishabh Kabra

Nicholas Watters

Christopher P. Burgess

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

50 / 353 papers shown

Title
Reconstruction Bottlenecks in Object-Centric Generative Models Martin Engelcke Oiwi Parker Jones Ingmar Posner OCL 43 24 0 13 Jul 2020
Generative Compositional Augmentations for Scene Graph Prediction Boris Knyazev H. D. Vries Cătălina Cangea Graham W. Taylor Aaron Courville Eugene Belilovsky 21 25 0 11 Jul 2020
Unsupervised object-centric video generation and decomposition in 3D Paul Henderson Christoph H. Lampert OCL 22 36 0 07 Jul 2020
RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces Sébastien Ehrhardt Oliver Groth Áron Monszpart Martin Engelcke Ingmar Posner Niloy Mitra Andrea Vedaldi 3DPC 21 54 0 02 Jul 2020
Object-Centric Learning with Slot Attention Francesco Locatello Dirk Weissenborn Thomas Unterthiner Aravindh Mahendran G. Heigold Jakob Uszkoreit Alexey Dosovitskiy Thomas Kipf OCL 39 818 0 26 Jun 2020
Unsupervised Video Decomposition using Spatio-temporal Iterative Inference Polina Zablotskaia E. Dominici Leonid Sigal Andreas M. Lehrmann OCL 21 20 0 25 Jun 2020
Space-Time Correspondence as a Contrastive Random Walk Allan Jabri Andrew Owens Alexei A. Efros SSL OT 28 292 0 25 Jun 2020
Learning Task-General Representations with Generative Neuro-Symbolic Modeling Reuben Feinman Brenden M. Lake GAN 22 19 0 25 Jun 2020
Learning Physical Graph Representations from Visual Scenes Daniel M. Bear Chaofei Fan Damian Mrowca Yunzhu Li S. Alter ... Jeremy Schwartz Li Fei-Fei Jiajun Wu J. Tenenbaum Daniel L. K. Yamins SSL GNN SSeg AI4CE 45 79 0 22 Jun 2020
Forward Prediction for Physical Reasoning Rohit Girdhar Laura Gustafson Aaron B. Adcock L. V. D. van der Maaten LRM AI4CE 53 20 0 18 Jun 2020
Analytic Manifold Learning: Unifying and Evaluating Representations for Continuous Control Rika Antonova Maksim Maydanskiy Danica Kragic Sam Devlin Katja Hofmann 10 8 0 15 Jun 2020
Extrapolatable Relational Reasoning With Comparators in Low-Dimensional Manifolds Duo Wang M. Jamnik Pietro Lio OOD 15 1 0 15 Jun 2020
SCAN: Learning to Classify Images without Labels Wouter Van Gansbeke Simon Vandenhende Stamatios Georgoulis Marc Proesmans Luc Van Gool VLM SSL 50 523 0 25 May 2020
A Proposal for Intelligent Agents with Episodic Memory David Murphy Thomas S. Paula Wagston Staehler Juliano Vacaro Gabriel Paz Guilherme Marques Bruna Oliveira 8 2 0 07 May 2020
Occlusion resistant learning of intuitive physics from videos Ronan Riochet Josef Sivic Ivan Laptev Emmanuel Dupoux PINN 26 6 0 30 Apr 2020
Towards causal generative scene models via competition of experts Julius von Kügelgen Ivan Ustyuzhaninov Peter V. Gehler Matthias Bethge Bernhard Schölkopf OCL 3DV 22 51 0 27 Apr 2020
Compositional Visual Generation and Inference with Energy Based Models Yilun Du Shuang Li Igor Mordatch CoGe 19 23 0 13 Apr 2020
Learning to Manipulate Individual Objects in an Image Yanchao Yang Yutong Chen Stefano Soatto OCL 13 37 0 11 Apr 2020
SpatialSim: Recognizing Spatial Configurations of Objects with Graph Neural Networks Laetitia Teodorescu Katja Hofmann Pierre-Yves Oudeyer 28 1 0 09 Apr 2020
Capsule Networks -- A Probabilistic Perspective Lewis Smith Lisa Schut Y. Gal Mark van der Wilk OCL 13 5 0 07 Apr 2020
Levels of Analysis for Machine Learning Jessica B. Hamrick S. Mohamed 20 16 0 06 Apr 2020
Disassembling Object Representations without Labels Zunlei Feng Xinchao Wang Yongming He Yike Yuan Xin Gao Xiuming Zhang OCL 23 0 0 03 Apr 2020
Object-Centric Image Generation with Factored Depths, Locations, and Appearances Titas Anciukevicius Christoph H. Lampert Paul Henderson OCL BDL 3DV VLM 17 33 0 01 Apr 2020
Deep Sets for Generalization in RL Tristan Karch Cédric Colas Laetitia Teodorescu Clément Moulin-Frier Pierre-Yves Oudeyer OffRL AI4CE 6 6 0 20 Mar 2020
Better Set Representations For Relational Reasoning Qian Huang Horace He Ashutosh Kumar Singh Yan Zhang Ser-Nam Lim Austin R. Benson NAI OCL GNN 31 1 0 09 Mar 2020
Relevance-Guided Modeling of Object Dynamics for Reinforcement Learning William Agnew Pedro M. Domingos OffRL 31 3 0 03 Mar 2020
Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration Cédric Colas Tristan Karch Nicolas Lair Jean-Michel Dussoux Clément Moulin-Frier Peter Ford Dominey Pierre-Yves Oudeyer LM&Ro LLMAG LRM 22 118 0 21 Feb 2020
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition Zhixuan Lin Yi-Fu Wu Skand Peri Weihao Sun Gautam Singh Fei Deng Jindong Jiang Sungjin Ahn BDL OCL 3DPC 45 246 0 08 Jan 2020
Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis Yiyi Liao Katja Schwarz L. Mescheder Andreas Geiger 3DV 39 158 0 11 Dec 2019
Abstract Reasoning with Distracting Features Kecheng Zheng Zhengjun Zha Wei Wei 26 72 0 02 Dec 2019
Contrastive Learning of Structured World Models Thomas Kipf Elise van der Pol Max Welling OCL DRL 28 278 0 27 Nov 2019
Unsupervised Object Segmentation with Explicit Localization Module Weitang Liu Lifeng Wei James Sharpnack John Douglas Owens SSeg 9 4 0 21 Nov 2019
Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking Eric Crawford Joelle Pineau 50 66 0 20 Nov 2019
Entity Abstraction in Visual Model-Based Reinforcement Learning Rishi Veerapaneni John D. Co-Reyes Michael Chang Michael Janner Chelsea Finn Jiajun Wu J. Tenenbaum Sergey Levine OCL OffRL 32 188 0 28 Oct 2019
R-SQAIR: Relational Sequential Attend, Infer, Repeat Aleksandar Stanić Jürgen Schmidhuber 16 30 0 11 Oct 2019
Structured Object-Aware Physics Prediction for Video Modeling and Planning Jannik Kossen Karl Stelzner Marcel Hussing C. Voelcker Kristian Kersting OCL 21 70 0 06 Oct 2019
SCALOR: Generative World Models with Scalable Object Representations Jindong Jiang Sepehr Janghorbani Gerard de Melo Sungjin Ahn OCL DRL 46 132 0 06 Oct 2019
LAVAE: Disentangling Location and Appearance Andrea Dittadi Ole Winther OCL BDL DRL 17 6 0 25 Sep 2019
Disentangled Relational Representations for Explaining and Learning from Demonstration Yordan V. Hristov Daniel Angelov Michael G. Burke A. Lascarides S. Ramamoorthy DRL 11 24 0 31 Jul 2019
GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations Martin Engelcke Adam R. Kosiorek Oiwi Parker Jones Ingmar Posner OCL 20 304 0 30 Jul 2019
Generalization to Novel Objects using Prior Relational Knowledge V. Vijay Abhinav Ganesh Hanlin Tang Arjun K. Bansal GNN 19 6 0 26 Jun 2019
Unsupervised Learning of Object Keypoints for Perception and Control Tejas D. Kulkarni Ankush Gupta Catalin Ionescu Sebastian Borgeaud Malcolm Reynolds Andrew Zisserman Volodymyr Mnih SSL OCL 14 193 0 19 Jun 2019
Unsupervised State Representation Learning in Atari Ankesh Anand Evan Racah Sherjil Ozair Yoshua Bengio Marc-Alexandre Côté R. Devon Hjelm SSL 44 254 0 19 Jun 2019
Stacked Capsule Autoencoders Adam R. Kosiorek S. Sabour Yee Whye Teh Geoffrey E. Hinton OCL 14 262 0 17 Jun 2019
Deep Set Prediction Networks Yan Zhang Jonathon S. Hare Adam Prugel-Bennett 22 107 0 15 Jun 2019
Multi-objects Generation with Amortized Structural Regularization Kun Xu Chongxuan Li Jun Zhu Bo Zhang 6 17 0 10 Jun 2019
A Perspective on Objects and Systematic Generalization in Model-Based RL Sjoerd van Steenkiste Klaus Greff Jürgen Schmidhuber OCL OffRL 17 31 0 03 Jun 2019
Emergence of Object Segmentation in Perturbed Generative Models Adam Bielski Paolo Favaro 33 99 0 29 May 2019
Are Disentangled Representations Helpful for Abstract Visual Reasoning? Sjoerd van Steenkiste Francesco Locatello Jürgen Schmidhuber Olivier Bachem 21 208 0 29 May 2019
Object Discovery with a Copy-Pasting GAN Relja Arandjelović Andrew Zisserman 27 57 0 27 May 2019