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06/23/2023
Maintaining Plasticity in Deep Continual Learning
Modern deep-learning systems are specialized to problem settings in whic...
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02/13/2023
Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning
Tomorrow's robots will need to distinguish useful information from noise...
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08/13/2021
Continual Backprop: Stochastic Gradient Descent with Persistent Randomness
The Backprop algorithm for learning in neural networks utilizes two mech...
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11/18/2019
Gamma-Nets: Generalizing Value Estimation over Timescale
We present Γ-nets, a method for generalizing value function estimation o...
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07/09/2017
Variational Inference via Transformations on Distributions
Variational inference methods often focus on the problem of efficient mo...
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06/06/2017
