#Zero‑shot learning

Articles (2)

• 🇺🇸 Rudder: Steering Prefetching in Distributed GNN Training using LLM Agents — 02/03/2026 [USA]

  arXiv:2602.23556v1 Announce Type: cross Abstract: Large-scale Graph Neural Networks (GNNs) are typically trained by sampling a vertex's neighbors to a fixed distance. Because large input graphs are d...

  Related: #Distributed graph neural networks, #High‑performance computing, #Communication optimization, #Adaptive prefetching
• 🇺🇸 Reverso: Efficient Time Series Foundation Models for Zero-shot Forecasting — 20/02/2026 [USA]

  arXiv:2602.17634v1 Announce Type: cross Abstract: Learning time series foundation models has been shown to be a promising approach for zero-shot time series forecasting across diverse time series dom...

  Related: #Time‑series forecasting, #Foundation models, #Model efficiency, #Hybrid neural architectures