7 citations · 25 across the 5 of their papers we have counts for
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cs.CV2022★ 3 cited
Domain Generalization Strategy to Train Classifiers Robust to Spatial-Temporal Shift
Minseok Seo, Doyi Kim, Seungheon Shin +3
Deep learning-based weather prediction models have advanced significantly in recent years. However, data-driven models based on deep learning are difficult to apply to real-world a…
cs.CV2022★ 4 cited
Simple Baseline for Weather Forecasting Using Spatiotemporal Context Aggregation Network
Minseok Seo, Doyi Kim, Seungheon Shin +3
Traditional weather forecasting relies on domain expertise and computationally intensive numerical simulation systems. Recently, with the development of a data-driven approach, wea…
cs.LG2022★ 5 cited
SplitGP: Achieving Both Generalization and Personalization in Federated Learning
Dong-Jun Han, Do-Yeon Kim, Minseok Choi +2
A fundamental challenge to providing edge-AI services is the need for a machine learning (ML) model that achieves personalization (i.e., to individual clients) and generalization (…