The Impact of Negative Sampling on Contrastive Structured World Models

24 July 2021

Papers citing "The Impact of Negative Sampling on Contrastive Structured World Models"

26 / 26 papers shown

Title
On the Binding Problem in Artificial Neural Networks Klaus Greff Sjoerd van Steenkiste Jürgen Schmidhuber OCL 304 263 0 09 Dec 2020
Learning Object-Centric Video Models by Contrasting Sets Sindy Löwe Klaus Greff Rico Jonschkowski Alexey Dosovitskiy Thomas Kipf SSL OCL 50 24 0 20 Nov 2020
Slot Contrastive Networks: A Contrastive Approach for Representing Objects Evan Racah Sarath Chandar OCL DRL 68 14 0 18 Jul 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning A. Srinivas Michael Laskin Pieter Abbeel SSL DRL OffRL 91 1,087 0 08 Apr 2020
Plannable Approximations to MDP Homomorphisms: Equivariance under Actions Elise van der Pol Thomas Kipf F. Oliehoek Max Welling 63 79 0 27 Feb 2020
Learning Robust Representations via Multi-View Information Bottleneck Marco Federici Anjan Dutta Patrick Forré Nate Kushman Zeynep Akata SLR 55 256 0 17 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 369 18,778 0 13 Feb 2020
Contrastive Learning of Structured World Models Thomas Kipf Elise van der Pol Max Welling OCL DRL 74 284 0 27 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 82 189 0 28 Oct 2019
Structured Object-Aware Physics Prediction for Video Modeling and Planning Jannik Kossen Karl Stelzner Marcel Hussing C. Voelcker Kristian Kersting OCL 68 70 0 06 Oct 2019
GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations Martin Engelcke Adam R. Kosiorek Oiwi Parker Jones Ingmar Posner OCL 124 307 0 30 Jul 2019
A Perspective on Objects and Systematic Generalization in Model-Based RL Sjoerd van Steenkiste Klaus Greff Jürgen Schmidhuber OCL OffRL 67 31 0 03 Jun 2019
Multi-Object Representation Learning with Iterative Variational Inference Klaus Greff Raphael Lopez Kaufman Rishabh Kabra Nicholas Watters Christopher P. Burgess Daniel Zoran Loic Matthey M. Botvinick Alexander Lerchner OCL SSL 104 509 0 01 Mar 2019
MONet: Unsupervised Scene Decomposition and Representation Christopher P. Burgess Loic Matthey Nicholas Watters Rishabh Kabra I. Higgins M. Botvinick Alexander Lerchner OCL 87 528 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 72 129 0 28 Dec 2018
Learning deep representations by mutual information estimation and maximization R. Devon Hjelm A. Fedorov Samuel Lavoie-Marchildon Karan Grewal Phil Bachman Adam Trischler Yoshua Bengio SSL DRL 330 2,662 0 20 Aug 2018
Representation Learning with Contrastive Predictive Coding Aaron van den Oord Yazhe Li Oriol Vinyals DRL SSL 320 10,302 0 10 Jul 2018
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination Zhirong Wu Yuanjun Xiong Stella X. Yu Dahua Lin SSL 179 3,458 0 05 May 2018
Visual Interaction Networks Nicholas Watters Andrea Tacchetti T. Weber Razvan Pascanu Peter W. Battaglia Daniel Zoran PINN 3DH 96 279 0 05 Jun 2017
Time-Contrastive Networks: Self-Supervised Learning from Video P. Sermanet Corey Lynch Yevgen Chebotar Jasmine Hsu Eric Jang S. Schaal Sergey Levine SSL 101 826 0 23 Apr 2017
Variational Graph Auto-Encoders Thomas Kipf Max Welling GNN BDL SSL CML 151 3,586 0 21 Nov 2016
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 191 10,876 0 03 Jul 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 199 8,859 0 04 Feb 2016
Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks Alexey Dosovitskiy Philipp Fischer Jost Tobias Springenberg Martin Riedmiller Thomas Brox OOD SSL 87 1,021 0 26 Jun 2014
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 680 31,512 0 16 Jan 2013
A Fast and Simple Algorithm for Training Neural Probabilistic Language Models A. Mnih Yee Whye Teh 177 578 0 27 Jun 2012