2 papers
cs.LG2026
Generative Diffusion Prior Distillation for Long-Context Knowledge Transfer
Nilushika Udayangani, Kishor Nandakishor, Marimuthu Palaniswami
While traditional time-series classifiers assume full sequences at inference, practical constraints (latency and cost) often limit inputs to partial prefixes. The absence of class-…
cs.LG2026
MemKD: Memory-Discrepancy Knowledge Distillation for Efficient Time Series Classification
Nilushika Udayangani, Kishor Nandakishor, Marimuthu Palaniswami
Deep learning models, particularly recurrent neural networks and their variants, such as long short-term memory, have significantly advanced time series data analysis. These models…