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10/22/2022
Hindering Adversarial Attacks with Implicit Neural Representations
We introduce the Lossy Implicit Network Activation Coding (LINAC) defenc...
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10/31/2019
Continual Unsupervised Representation Learning
Continual learning aims to improve the ability of modern learning system...
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08/30/2019
Meta-Learning with Warped Gradient Descent
A versatile and effective approach to meta-learning is to infer a gradie...
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06/12/2019
Task Agnostic Continual Learning via Meta Learning
While neural networks are powerful function approximators, they suffer f...
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07/16/2018
Meta-Learning with Latent Embedding Optimization
Gradient-based meta-learning techniques are both widely applicable and p...
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06/06/2018
Meta Learning by the Baldwin Effect
The scope of the Baldwin effect was recently called into question by two...
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07/26/2017
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
Domain adaptation is an important open problem in deep reinforcement lea...
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01/30/2017
PathNet: Evolution Channels Gradient Descent in Super Neural Networks
For artificial general intelligence (AGI) it would be efficient if multi...
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12/02/2016
