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04/24/2023
Adaptive-saturated RNN: Remember more with less instability
Orthogonal parameterization is a compelling solution to the vanishing gr...
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09/06/2022
Continual Learning: Fast and Slow
According to the Complementary Learning Systems (CLS) theory <cit.> in n...
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03/30/2022
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning
Existing continual learning methods use Batch Normalization (BN) to faci...
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02/23/2022
Learning Fast and Slow for Online Time Series Forecasting
The fast adaptation capability of deep neural networks in non-stationary...
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10/01/2021
DualNet: Continual Learning, Fast and Slow
According to Complementary Learning Systems (CLS) theory <cit.> in neuro...
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04/04/2021
TATL: Task Agnostic Transfer Learning for Skin Attributes Detection
Existing skin attributes detection methods usually initialize with a pre...
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07/30/2020
Bilevel Continual Learning
Continual learning aims to learn continuously from a stream of tasks and...
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05/03/2020
Extracting Entities and Topics from News and Connecting Criminal Records
The goal of this paper is to summarize methodologies used in extracting ...
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02/09/2018