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Neural Expectation Maximization

Neural Information Processing Systems (NeurIPS), 2017

11 August 2017

Klaus Greff

Sjoerd van Steenkiste

Jürgen Schmidhuber

OCL

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Papers citing "Neural Expectation Maximization"

38 / 188 papers shown

Title
Exploiting Spatial Invariance for Scalable Unsupervised Object TrackingAAAI Conference on Artificial Intelligence (AAAI), 2019 Eric Crawford Joelle Pineau 305 67 0 20 Nov 2019
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation TasksIEEE International Conference on Robotics and Automation (ICRA), 2019 Youngwoon Lee E. Hu Zhengyu Yang Alexander Yin Joseph J. Lim 295 140 0 17 Nov 2019
Entity Abstraction in Visual Model-Based Reinforcement LearningConference on Robot Learning (CoRL), 2019 Rishi Veerapaneni John D. Co-Reyes Michael Chang Michael Janner Chelsea Finn Jiajun Wu J. Tenenbaum Sergey Levine OCL OffRL 425 197 0 28 Oct 2019
R-SQAIR: Relational Sequential Attend, Infer, Repeat Aleksandar Stanić Jürgen Schmidhuber 164 31 0 11 Oct 2019
Structured Object-Aware Physics Prediction for Video Modeling and PlanningInternational Conference on Learning Representations (ICLR), 2019 Jannik Kossen Karl Stelzner Marcel Hussing C. Voelcker Kristian Kersting OCL 219 73 0 06 Oct 2019
SCALOR: Generative World Models with Scalable Object RepresentationsInternational Conference on Learning Representations (ICLR), 2019 Jindong Jiang Sepehr Janghorbani Gerard de Melo Sungjin Ahn OCL DRL 403 143 0 06 Oct 2019
LAVAE: Disentangling Location and Appearance Andrea Dittadi Ole Winther OCL BDL DRL 237 6 0 25 Sep 2019
Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization FrameworkConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 Jiasi Chen Richong Zhang Yongyi Mao Hongyu Guo Jie Xu NoLa BDL 144 10 0 12 Sep 2019
GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent RepresentationsInternational Conference on Learning Representations (ICLR), 2019 Martin Engelcke Adam R. Kosiorek Oiwi Parker Jones Ingmar Posner OCL 391 325 0 30 Jul 2019
Information Competing Process for Learning Diversified RepresentationsNeural Information Processing Systems (NeurIPS), 2019 Jie Hu Rongrong Ji Shengchuan Zhang Xiaoshuai Sun QiXiang Ye Chia-Wen Lin Q. Tian 355 16 0 04 Jun 2019
A Perspective on Objects and Systematic Generalization in Model-Based RL Sjoerd van Steenkiste Klaus Greff Jürgen Schmidhuber OCL OffRL 194 31 0 03 Jun 2019
End to end learning and optimization on graphsNeural Information Processing Systems (NeurIPS), 2019 Bryan Wilder Eric Ewing B. Dilkina Milind Tambe GNN 225 117 0 31 May 2019
Emergence of Object Segmentation in Perturbed Generative ModelsNeural Information Processing Systems (NeurIPS), 2019 Adam Bielski Paolo Favaro 264 103 0 29 May 2019
Are Disentangled Representations Helpful for Abstract Visual Reasoning?Neural Information Processing Systems (NeurIPS), 2019 Sjoerd van Steenkiste Francesco Locatello Jürgen Schmidhuber Olivier Bachem 261 216 0 29 May 2019
Object Discovery with a Copy-Pasting GAN Relja Arandjelović Andrew Zisserman 196 58 0 27 May 2019
Unsupervised Intuitive Physics from Past Experiences Sébastien Ehrhardt Áron Monszpart Niloy J. Mitra Andrea Vedaldi OOD PINN AI4CE SSL 169 2 0 26 May 2019
Unsupervised and interpretable scene discovery with Discrete-Attend-Infer-Repeat Duo Wang M. Jamnik Pietro Lio BDL OCL 158 5 0 14 Mar 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 161 61 0 12 Mar 2019
Interpreting and Understanding Graph Convolutional Neural Network using Gradient-based Attribution Method Shangsheng Xie Mingming Lu FAtt GNN 153 18 0 09 Mar 2019
Multi-Object Representation Learning with Iterative Variational InferenceInternational Conference on Machine Learning (ICML), 2019 Klaus Greff Raphael Lopez Kaufman Rishabh Kabra Nicholas Watters Christopher P. Burgess Daniel Zoran Loic Matthey M. Botvinick Alexander Lerchner OCL SSL 446 541 0 01 Mar 2019
Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping Jinyang Yuan Bin Li Xiangyang Xue OCL 137 12 0 07 Feb 2019
MONet: Unsupervised Scene Decomposition and Representation Christopher P. Burgess Loic Matthey Nicholas Watters Rishabh Kabra I. Higgins M. Botvinick Alexander Lerchner OCL 354 568 0 22 Jan 2019
Reasoning About Physical Interactions with Object-Oriented Prediction and Planning Michael Janner Sergey Levine William T. Freeman J. Tenenbaum Chelsea Finn Jiajun Wu OCL 226 133 0 28 Dec 2018
Reconciling meta-learning and continual learning with online mixtures of tasks Ghassen Jerfel Erin Grant Thomas Griffiths Katherine A. Heller FedML CLL BDL 339 12 0 14 Dec 2018
GAN-EM: GAN based EM learning framework Wentian Zhao Shaojie Wang Zhihuai Xie Jing Shi Chenliang Xu VLM GAN 79 14 0 02 Dec 2018
Improving Span-based Question Answering Systems with Coarsely Labeled Data Youlong Cheng Ming-Wei Chang HyoukJoong Lee Ankur P. Parikh Mingsheng Hong Blake A. Hechtman 128 1 0 05 Nov 2018
Investigating Object Compositionality in Generative Adversarial Networks Sjoerd van Steenkiste Karol Kurach Jürgen Schmidhuber Sylvain Gelly GAN OCL 285 20 0 17 Oct 2018
Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers Zhen He Jian Li Daxue Liu Hangen He David Barber VOT 211 57 0 10 Sep 2018
Superpixel Sampling Networks Varun Jampani Deqing Sun Ming-Yuan Liu Ming-Hsuan Yang Jan Kautz SSeg 135 260 0 26 Jul 2018
Learning Neural Models for End-to-End Clustering B. Meier Ismail Elezi Mohammadreza Amirian Oliver Durr Thilo Stadelmann SSL 139 17 0 11 Jul 2018
Learning to Decompose and Disentangle Representations for Video Prediction Jun-Ting Hsieh Bingbin Liu De-An Huang Li Fei-Fei Juan Carlos Niebles DRL 354 316 0 11 Jun 2018
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects Adam R. Kosiorek Hyunjik Kim Ingmar Posner Yee Whye Teh BDL 339 266 0 05 Jun 2018
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation Anurag Ranjan Varun Jampani Lukas Balles Kihwan Kim Deqing Sun Jonas Wulff Michael J. Black SSL 322 619 0 24 May 2018
The Limits and Potentials of Deep Learning for Robotics Niko Sünderhauf Oliver Brock Walter J. Scheirer R. Hadsell Dieter Fox ... B. Upcroft Pieter Abbeel Wolfram Burgard Michael Milford Peter Corke 217 546 0 18 Apr 2018
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their InteractionsInternational Conference on Learning Representations (ICLR), 2018 Sjoerd van Steenkiste Michael Chang Klaus Greff Jürgen Schmidhuber BDL OCL DRL 384 297 0 28 Feb 2018
One Big Net For Everything Jürgen Schmidhuber CLL 156 34 0 24 Feb 2018
Taking Visual Motion Prediction To New HeightfieldsComputer Vision and Image Understanding (CVIU), 2017 Sébastien Ehrhardt Áron Monszpart Niloy Mitra Andrea Vedaldi 128 23 0 22 Dec 2017
Recurrent Ladder Networks Isabeau Prémont-Schwarz Alexander Ilin T. Hao Antti Rasmus Rinu Boney Harri Valpola 292 41 0 28 Jul 2017