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10/18/2022
Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving
We demonstrate the first large-scale application of model-based generati...
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07/18/2020
Slot Contrastive Networks: A Contrastive Approach for Representing Objects
Unsupervised extraction of objects from low-level visual data is an impo...
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07/07/2020
The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning
Deep model-based Reinforcement Learning (RL) has the potential to substa...
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06/27/2019
Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments
Self-supervised methods, wherein an agent learns representations solely ...
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06/19/2019
Unsupervised State Representation Learning in Atari
State representation learning, or the ability to capture latent generati...
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11/09/2017
Deep Neural Networks for Physics Analysis on low-level whole-detector data at the LHC
There has been considerable recent activity applying deep convolutional ...
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08/17/2017
Deep Learning at 15PF: Supervised and Semi-Supervised Classification for Scientific Data
This paper presents the first, 15-PetaFLOP Deep Learning system for solv...
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12/07/2016
ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events
Then detection and identification of extreme weather events in large-sca...
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01/28/2016
