WebSep 6, 2024 · Overview of the DualNet architecture, which consists of (i) a slow learner (blue) that learns representation by optimizing an SSL loss using samples from the … WebPreprint 1 Continual Learning, Fast and Slow Quang Pham, Chenghao Liu, Steven C. H. Hoi, Fellow, IEEE Abstract—According to the Complementary Learning Systems (CLS) theory [1] in neuroscience, humans do effective continual learning through two complementary systems: a fast learning system centered on the hippocampus for rapid …
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Webby this theory, we propose a novel continual learning framework named “DualNet", which comprises a fast learning system for supervised learning of pattern-separated … WebSep 6, 2024 · Motivated by this theory, we propose \emph {DualNets} (for Dual Networks), a general continual learning framework comprising a fast learning system for supervised … philly connection altamonte springs
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WebJan 29, 2024 · The complementary learning system (CLS) theory suggests that the interplay between rapid instance-based learning and slow structured learning in the brain is crucial for accumulating and retaining ... WebMay 21, 2024 · The two fast and slow learning systems are complementary and work seamlessly in a holistic continual learning framework. Our extensive experiments on two challenging continual learning benchmarks of CORE50 and miniImageNet show that DualNet outperforms state-of-the-art continual learning methods by a large margin. WebApr 19, 2024 · We draw inspirations from the robust brain system and develop a method that (1) interdependently updates a pair of fast / slow weights for continual learning and few-shot learning to disentangle their divergent objectives, inspired by the biological model of meta-plasticity and fast / slow synapse; and (2) applies a brain-inspired two-step ... philly connection jacksonville fl