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Seungwon Lee

3 papers · 2019–2023 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🐣 Hot Topic Early Bird

Venues

ICML (1) IJCAI (1) NeurIPS (1)

Top co-authors

Eric Eaton (2) Sima Behpour (1) Hee Sun Lee (1) Hee Jae Kim (1) Saerom Choi (1) Byunggook Na (1) Yongdeok Kim (1) Hyuntae Cho (1) James Stokes (1) Gunhee Kim (1)

Research topics

Deep Learning (3) Machine Learning (3) Architectures (2) Learning Types · Machine Learning (2) Core Methods (1) Learning Types · Deep Learning (1) Optimization & Theory (1)

Keywords

lifelong learning (2) catastrophic forgetting (2) knowledge transfer (1) molecular dynamics (1) factorized representation (1) density functional theory (1) selective transfer (1) machine learning force field (1) deconvolutional network (1) graph neural network (1) energy prediction (1) force prediction (1) selective layer transfer (1) transfer learning (1)

Papers

Benchmark of Machine Learning Force Fields for Semiconductor Simulations: Datasets, Metrics, and Comparative Analysis NeurIPS 2023 Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer ICML 2021 Learning Shared Knowledge for Deep Lifelong Learning using Deconvolutional Networks IJCAI 2019