Across ten temporal partitions of two datasets, incrementally fine-tuned Time-MoE and Chronos mostly beat their zero-shot baselines and show less plasticity loss than DLinear, PatchTST, and iTransformer, though improvement is not progressive.
Temporal convolutional neural (tcn) network for an effective weather forecasting using time-series data from the local weather station,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Evaluating Temporal Plasticity in Foundation Time Series Models for Incremental Fine-tuning
Across ten temporal partitions of two datasets, incrementally fine-tuned Time-MoE and Chronos mostly beat their zero-shot baselines and show less plasticity loss than DLinear, PatchTST, and iTransformer, though improvement is not progressive.