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06/30/2023
Towards Brain Inspired Design for Addressing the Shortcomings of ANNs
As our understanding of the mechanisms of brain function is enhanced, th...
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04/13/2023
A Study of Biologically Plausible Neural Network: The Role and Interactions of Brain-Inspired Mechanisms in Continual Learning
Humans excel at continually acquiring, consolidating, and retaining info...
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12/28/2022
Sparse Coding in a Dual Memory System for Lifelong Learning
Efficient continual learning in humans is enabled by a rich set of neuro...
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06/08/2022
SYNERgy between SYNaptic consolidation and Experience Replay for general continual learning
Continual learning (CL) in the brain is facilitated by a complex set of ...
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01/29/2022
Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning System
Humans excel at continually learning from an ever-changing environment w...
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09/17/2020
Noisy Concurrent Training for Efficient Learning under Label Noise
Deep neural networks (DNNs) fail to learn effectively under label noise ...
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08/16/2020
Adversarial Concurrent Training: Optimizing Robustness and Accuracy Trade-off of Deep Neural Networks
Adversarial training has been proven to be an effective technique for im...
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07/03/2020
Knowledge Distillation Beyond Model Compression
Knowledge distillation (KD) is commonly deemed as an effective model com...
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10/11/2019
