Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions

28 February 2018

Sjoerd van Steenkiste

Papers citing "Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions"

33 / 33 papers shown

Title
Explicitly Disentangled Representations in Object-Centric Learning Riccardo Majellaro Jonathan Collu Aske Plaat Thomas M. Moerland CoGe OOD OCL 116 1 0 18 Jan 2024
FiLM: Visual Reasoning with a General Conditioning Layer Ethan Perez Florian Strub H. D. Vries Vincent Dumoulin Aaron Courville FAtt AIMat OffRL AI4CE 316 2,202 0 22 Sep 2017
Neural Expectation Maximization Klaus Greff Sjoerd van Steenkiste Jürgen Schmidhuber OCL 114 286 0 11 Aug 2017
Learning to Infer Graphics Programs from Hand-Drawn Images Kevin Ellis Daniel E. Ritchie Armando Solar-Lezama J. Tenenbaum NAI 72 227 0 30 Jul 2017
Recurrent Ladder Networks Isabeau Prémont-Schwarz Alexander Ilin T. Hao Antti Rasmus Rinu Boney Harri Valpola 57 41 0 28 Jul 2017
Programmable Agents Misha Denil Sergio Gomez Colmenarejo Serkan Cabi D. Saxton Nando de Freitas AI4CE 75 42 0 20 Jun 2017
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics Ken Kansky Tom Silver David A. Mély Mohamed Eldawy Miguel Lazaro-Gredilla Xinghua Lou N. Dorfman Szymon Sidor Scott Phoenix Dileep George AI4CE 69 233 0 14 Jun 2017
A simple neural network module for relational reasoning Adam Santoro David Raposo David Barrett Mateusz Malinowski Razvan Pascanu Peter W. Battaglia Timothy Lillicrap GNN NAI 152 1,612 0 05 Jun 2017
Inferring and Executing Programs for Visual Reasoning Justin Johnson B. Hariharan Laurens van der Maaten Judy Hoffman Li Fei-Fei C. L. Zitnick Ross B. Girshick NAI 69 545 0 10 May 2017
Making Neural Programming Architectures Generalize via Recursion Jonathon Cai Richard Shin D. Song AI4CE LRM 59 146 0 21 Apr 2017
Learning to Reason: End-to-End Module Networks for Visual Question Answering Ronghang Hu Jacob Andreas Marcus Rohrbach Trevor Darrell Kate Saenko KELM GNN ReLM LRM 118 577 0 18 Apr 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 449 7,431 0 04 Apr 2017
One-Shot Imitation Learning Yan Duan Marcin Andrychowicz Bradly C. Stadie Jonathan Ho Jonas Schneider Ilya Sutskever Pieter Abbeel Wojciech Zaremba OffRL 77 685 0 21 Mar 2017
Deep Sets Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabás Póczós Ruslan Salakhutdinov Alex Smola 318 2,459 0 10 Mar 2017
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 364 440 0 01 Dec 2016
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 504 1,407 0 01 Dec 2016
Learning to Poke by Poking: Experiential Learning of Intuitive Physics Pulkit Agrawal Ashvin Nair Pieter Abbeel Jitendra Malik Sergey Levine SSL 62 563 0 23 Jun 2016
Tagger: Deep Unsupervised Perceptual Grouping Klaus Greff Antti Rasmus Mathias Berglund T. Hao Jürgen Schmidhuber Harri Valpola OCL 65 161 0 21 Jun 2016
Programming with a Differentiable Forth Interpreter Matko Bosnjak Tim Rocktaschel Jason Naradowsky Sebastian Riedel 49 148 0 21 May 2016
Attend, Infer, Repeat: Fast Scene Understanding with Generative Models S. M. Ali Eslami N. Heess T. Weber Yuval Tassa David Szepesvari Koray Kavukcuoglu Geoffrey E. Hinton 3DV BDL OCL 120 551 0 28 Mar 2016
Learning Physical Intuition of Block Towers by Example Adam Lerer Sam Gross Rob Fergus PINN 76 299 0 03 Mar 2016
On Learning to Think: Algorithmic Information Theory for Novel Combinations of Reinforcement Learning Controllers and Recurrent Neural World Models Jürgen Schmidhuber 54 104 0 30 Nov 2015
Learning Visual Predictive Models of Physics for Playing Billiards Katerina Fragkiadaki Pulkit Agrawal Sergey Levine Jitendra Malik 78 260 0 23 Nov 2015
Neural Programmer-Interpreters Scott E. Reed Nando de Freitas 90 408 0 19 Nov 2015
Neural Module Networks Jacob Andreas Marcus Rohrbach Trevor Darrell Dan Klein CoGe 129 1,071 0 09 Nov 2015
Unsupervised Learning of Video Representations using LSTMs Nitish Srivastava Elman Mansimov Ruslan Salakhutdinov SSL 130 2,589 0 16 Feb 2015
DRAW: A Recurrent Neural Network For Image Generation Karol Gregor Ivo Danihelka Alex Graves Danilo Jimenez Rezende Daan Wierstra GAN DRL 159 1,960 0 16 Feb 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention Ke Xu Jimmy Ba Ryan Kiros Kyunghyun Cho Aaron Courville Ruslan Salakhutdinov R. Zemel Yoshua Bengio DiffM 312 10,050 0 10 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.4K 149,842 0 22 Dec 2014
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 503 27,263 0 01 Sep 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 414 16,947 0 20 Dec 2013
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 114 12,201 0 19 Dec 2013
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 106 3,002 0 19 Jul 2012