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02/22/2022
Hierarchical Perceiver
General perception systems such as Perceivers can process arbitrary moda...
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07/30/2021
Perceiver IO: A General Architecture for Structured Inputs Outputs
The recently-proposed Perceiver model obtains good results on several do...
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01/03/2020
Making Sense of Reinforcement Learning and Probabilistic Inference
Reinforcement learning (RL) combines a control problem with statistical ...
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06/19/2019
Unsupervised Learning of Object Keypoints for Perception and Control
The study of object representations in computer vision has primarily foc...
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11/28/2018
Unsupervised Control Through Non-Parametric Discriminative Rewards
Learning to control an environment without hand-crafted rewards or exper...
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10/20/2016
Using Fast Weights to Attend to the Recent Past
Until recently, research on artificial neural networks was largely restr...
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09/25/2015