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06/28/2022
Continual Learning with Transformers for Image Classification
In many real-world scenarios, data to train machine learning models beco...
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05/27/2020
Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search
Neural Architecture Search (NAS) explores a large space of architectural...
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03/19/2020
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions
Creating open-ended algorithms, which generate their own never-ending st...
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02/24/2020
Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity
The impressive lifelong learning in animal brains is primarily enabled b...
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12/17/2019
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data
This paper investigates the intriguing question of whether we can create...
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10/18/2019
First-Order Preconditioning via Hypergradient Descent
Standard gradient descent methods are susceptible to a range of issues t...
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03/12/2018
From Nodes to Networks: Evolving Recurrent Neural Networks
Gated recurrent networks such as those composed of Long Short-Term Memor...
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03/01/2017