3 citations · 5 across the 8 of their papers we have counts for
3 papers · 1 filter
Reverso: Efficient Time Series Foundation Models for Zero-shot Forecasting
Xinghong Fu, Yanhong Li, Georgios Papaioannou +1
Learning time series foundation models has been shown to be a promising approach for zero-shot time series forecasting across diverse time series domains. Insofar as scaling has be…
Fast KV Compaction via Attention Matching
Adam Zweiger, Xinghong Fu, Han Guo +1
Scaling language models to long contexts is often bottlenecked by the size of the key-value (KV) cache. In deployed settings, long contexts are typically managed through compaction…
On the Duality between Gradient Transformations and Adapters
Lucas Torroba-Hennigen, Hunter Lang, Han Guo +1
We study memory-efficient optimization of neural networks (in particular language models) with linear gradient transformations, where the gradients are linearly mapped to a lower d…