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08/07/2023
AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning
StarCraft II is one of the most challenging simulated reinforcement lear...
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07/27/2021
Open-Ended Learning Leads to Generally Capable Agents
In this work we create agents that can perform well beyond a single, ind...
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11/10/2016
Disentangling factors of variation in deep representations using adversarial training
We introduce a conditional generative model for learning to disentangle ...
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09/11/2016
Energy-based Generative Adversarial Network
We introduce the "Energy-based Generative Adversarial Network" model (EB...
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11/17/2015
Deep multi-scale video prediction beyond mean square error
Learning to predict future images from a video sequence involves the con...
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06/09/2015
Learning to Linearize Under Uncertainty
Training deep feature hierarchies to solve supervised learning tasks has...
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06/08/2015
Stacked What-Where Auto-encoders
We present a novel architecture, the "stacked what-where auto-encoders" ...
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12/24/2014
Learning Longer Memory in Recurrent Neural Networks
Recurrent neural network is a powerful model that learns temporal patter...
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12/24/2014
Fast Convolutional Nets With fbfft: A GPU Performance Evaluation
We examine the performance profile of Convolutional Neural Network train...
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12/20/2014
Video (language) modeling: a baseline for generative models of natural videos
We propose a strong baseline model for unsupervised feature learning usi...
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11/30/2014
The Loss Surfaces of Multilayer Networks
We study the connection between the highly non-convex loss function of a...
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04/29/2014
Fast Approximation of Rotations and Hessians matrices
A new method to represent and approximate rotation matrices is introduce...
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12/21/2013
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
We present an integrated framework for using Convolutional Networks for ...
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12/20/2013
