Hayeon Lee

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 21

Top Topics

Diffusion Models

Neural Architecture

Previously Unseen

Top Venues

Publications

Sohyun An, Hayeon Lee, Jaehyeong Jo, Seanie Lee, Sung Ju Hwang
DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models. ICLR (2024)
Bedionita Soro, Bruno Andreis, Hayeon Lee, Song Chong, Frank Hutter, Sung Ju Hwang
Diffusion-based Neural Network Weights Generation. CoRR (2024)
Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Hongbo Zhang, Sung Ju Hwang, Alexander Min
Co-training and Co-distillation for Quality Improvement and Compression of Language Models. CoRR (2023)
Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Hongbo Zhang, Sung Ju Hwang, Alexander Min
Co-training and Co-distillation for Quality Improvement and Compression of Language Models. EMNLP (Findings) (2023)
Hayeon Lee, Sohyun An, Minseon Kim, Sung Ju Hwang
Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets. ICLR (2023)
Sohyun An, Hayeon Lee, Jaehyeong Jo, Seanie Lee, Sung Ju Hwang
DiffusionNAG: Task-guided Neural Architecture Generation with Diffusion Models. CoRR (2023)
Hayeon Lee, Sohyun An, Minseon Kim, Sung Ju Hwang
Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets. CoRR (2023)
Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Sung Ju Hwang, Alexander Min
A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models. ACL (Findings) (2023)
Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Sung Ju Hwang, Alexander Min
A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models. CoRR (2023)
Stephen Cha, Taehyeon Kim, Hayeon Lee, Se-Young Yun
SuperNet in Neural Architecture Search: A Taxonomic Survey. CoRR (2022)
Haebeom Lee, Hayeon Lee, Jaewoong Shin, Eunho Yang, Timothy M. Hospedales, Sung Ju Hwang
Online Hyperparameter Meta-Learning with Hypergradient Distillation. ICLR (2022)
Hayeon Lee, Sewoong Lee, Song Chong, Sung Ju Hwang
HELP: Hardware-Adaptive Efficient Latency Predictor for NAS via Meta-Learning. CoRR (2021)
Wonyong Jeong, Hayeon Lee, Geon Park, Eunyoung Hyung, Jinheon Baek, Sung Ju Hwang
Task-Adaptive Neural Network Search with Meta-Contrastive Learning. NeurIPS (2021)
Hayeon Lee, Sewoong Lee, Song Chong, Sung Ju Hwang
Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning. NeurIPS (2021)
Hayeon Lee, Eunyoung Hyung, Sung Ju Hwang
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets. CoRR (2021)
Sunjae Lee, Hayeon Lee, Hoyoung Kim, Sangmin Lee, Jeong Woon Choi, Yuseung Lee, Seono Lee, Ahyeon Kim, Jean Young Song, Sangeun Oh, Steven Y. Ko, Insik Shin
FLUID-XP: flexible user interface distribution for cross-platform experience. MobiCom (2021)
Hayeon Lee, Eunyoung Hyung, Sung Ju Hwang
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets. ICLR (2021)
Haebeom Lee, Hayeon Lee, Jaewoong Shin, Eunho Yang, Timothy M. Hospedales, Sung Ju Hwang
Online Hyperparameter Meta-Learning with Hypergradient Distillation. CoRR (2021)
Wonyong Jeong, Hayeon Lee, Gun Park, Eunyoung Hyung, Jinheon Baek, Sung Ju Hwang
Task-Adaptive Neural Network Retrieval with Meta-Contrastive Learning. CoRR (2021)
Haebeom Lee, Hayeon Lee, Donghyun Na, Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks. ICLR (2020)
Hayeon Lee, Donghyun Na, Haebeom Lee, Sung Ju Hwang
Learning to Generalize to Unseen Tasks with Bilevel Optimization. CoRR (2019)