Hayeon Lee
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
5
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Diffusion-based Neural Network Weights Generation. | Bedionita Soro, Bruno Andreis, Hayeon Lee, Wonyong Jeong, Song Chong, Frank Hutter, Sung Ju Hwang |
| 2024 | ICIP | Disentangled Knowledge Distillation for Unified Multi-Class Anomaly Detection. | Jiyong Jang, Hayeon Lee, Younkwan Lee |
| 2024 | ICLR | DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models. | Sohyun An, Hayeon Lee, Jaehyeong Jo, Seanie Lee, Sung Ju Hwang |
| 2023 | ACL | A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models. | Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Sung Ju Hwang, Alexander Min |
| 2023 | EMNLP | Co-training and Co-distillation for Quality Improvement and Compression of Language Models. | Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Hongbo Zhang, Sung Ju Hwang, Alexander Min |
| 2023 | ICLR | Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets. | Hayeon Lee, Sohyun An, Minseon Kim, Sung Ju Hwang |
| 2022 | ICLR | Online Hyperparameter Meta-Learning with Hypergradient Distillation. | Haebeom Lee, Hayeon Lee, Jaewoong Shin, Eunho Yang, Timothy M. Hospedales, Sung Ju Hwang |
| 2021 | ICLR | Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets. | Hayeon Lee, Eunyoung Hyung, Sung Ju Hwang |
| 2021 | MOBICOM | FLUID-XP: flexible user interface distribution for cross-platform experience. | Sunjae Lee, Hayeon Lee, Hoyoung Kim, Sangmin Lee, Jeong Woon Choi, Yuseung Lee, Seono Lee, Ahyeon Kim, Jean Y. Song, Sangeun Oh, Steven Y. Ko, Insik Shin |
| 2020 | ICLR | Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks. | Haebeom Lee, Hayeon Lee, Donghyun Na, Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang |