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Found 3 papers, 1 papers with code
Revisiting Knowledge Distillation under Distribution Shift
Knowledge distillation transfers knowledge from large models into small models, and has recently made remarkable achievements.
TFDNet: Time-Frequency Enhanced Decomposed Network for Long-term Time Series Forecasting
In this paper, we propose a Time-Frequency Enhanced Decomposed Network (TFDNet) to capture both the long-term underlying patterns and temporal periodicity from the time-frequency domain.
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community
The research field of Information Retrieval (IR) has evolved significantly, expanding beyond traditional search to meet diverse user information needs.
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