2 papers
cs.LG2026
Not All Retrievals are Useful: Cross-Attention for Input-Aware RAG in Time Series Forecasting
Seunghan Lee, Jaehoon Lee, Jun Seo +7
Retrieval-augmented generation (RAG) enhances zero-shot time series (TS) forecasting by leveraging external knowledge bases, yet existing approaches overlook input-level relevance…
cs.CV2025
Mitigating Resolution-Drift in Federated Learning: Case of Keypoint Detection
Taeheon Lim, Joohyung Lee, Kyungjae Lee +1
The Federated Learning (FL) approach enables effective learning across distributed systems, while preserving user data privacy. To date, research has primarily focused on addressin…