Lee, Hayeon

8 publications

ICLR 2025 Diffusion-Based Neural Network Weights Generation Bedionita Soro, Bruno Andreis, Hayeon Lee, Wonyong Jeong, Song Chong, Frank Hutter, Sung Ju Hwang

ICLR 2024 DiffusionNAG: Predictor-Guided Neural Architecture Generation with Diffusion Models Sohyun An, Hayeon Lee, Jaehyeong Jo, Seanie Lee, Sung Ju Hwang

ICLR 2023 Meta-Prediction Model for Distillation-Aware NAS on Unseen Datasets Hayeon Lee, Sohyun An, Minseon Kim, Sung Ju Hwang

ICLR 2022 Online Hyperparameter Meta-Learning with Hypergradient Distillation Hae Beom Lee, Hayeon Lee, JaeWoong Shin, Eunho Yang, Timothy Hospedales, Sung Ju Hwang

NeurIPS 2021 Hardware-Adaptive Efficient Latency Prediction for NAS via Meta-Learning Hayeon Lee, Sewoong Lee, Song Chong, Sung Ju Hwang

ICLR 2021 Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets Hayeon Lee, Eunyoung Hyung, Sung Ju Hwang

NeurIPS 2021 Task-Adaptive Neural Network Search with Meta-Contrastive Learning Wonyong Jeong, Hayeon Lee, Geon Park, Eunyoung Hyung, Jinheon Baek, Sung Ju Hwang

ICLR 2020 Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-Distribution Tasks Hae Beom Lee, Hayeon Lee, Donghyun Na, Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang