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cs.LG2025
From Tokenizer Bias to Backbone Capability: A Controlled Study of LLMs for Time Series Forecasting
Xinyu Zhang, Shanshan Feng, Xutao Li +3
Using pre-trained large language models (LLMs) as a backbone for time series prediction has recently attracted growing research interest. Existing approaches typically split time s…
cs.LG2023
UER: A Heuristic Bias Addressing Approach for Online Continual Learning
Huiwei Lin, Shanshan Feng, Baoquan Zhang +3
Online continual learning aims to continuously train neural networks from a continuous data stream with a single pass-through data. As the most effective approach, the rehearsal-ba…
cs.LG2023
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning
Huiwei Lin, Shanshan Feng, Baoquan Zhang +2
Online continual learning, aimed at developing a neural network that continuously learns new data from a single pass over an online data stream, generally suffers from catastrophic…