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06/01/2023
Hierarchical Attention Encoder Decoder
Recent advances in large language models have shown that autoregressive ...
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05/25/2023
Online learning of long-range dependencies
Online learning holds the promise of enabling efficient long-term credit...
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02/16/2022
Open-Ended Reinforcement Learning with Neural Reward Functions
Inspired by the great success of unsupervised learning in Computer Visio...
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10/11/2019
Improving Gradient Estimation in Evolutionary Strategies With Past Descent Directions
Evolutionary Strategies (ES) are known to be an effective black-box opti...
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10/11/2019
Decoupling Hierarchical Recurrent Neural Networks With Locally Computable Losses
Learning long-term dependencies is a key long-standing challenge of recu...
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02/11/2019
Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning
One of the central goals of Recurrent Neural Networks (RNNs) is to learn...
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08/16/2018
The linear hidden subset problem for the (1+1) EA with scheduled and adaptive mutation rates
We study unbiased (1+1) evolutionary algorithms on linear functions with...
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05/28/2018
Approximating Real-Time Recurrent Learning with Random Kronecker Factors
Despite all the impressive advances of recurrent neural networks, sequen...
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05/24/2017
