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cs.LG2023
Out-of-distribution forgetting: vulnerability of continual learning to intra-class distribution shift
Liangxuan Guo, Yang Chen, Shan Yu
Continual learning (CL) is an important technique to allow artificial neural networks to work in open environments. CL enables a system to learn new tasks without severe interferen…
cs.AI2023
Emergence of Symbols in Neural Networks for Semantic Understanding and Communication
Yang Chen, Liangxuan Guo, Shan Yu
The capacity to generate meaningful symbols and effectively employ them for advanced cognitive processes, such as communication, reasoning, and planning, constitutes a fundamental…