Hayeon Lee - RankMe

26 papers A* 9B 1Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Diffusion-based Neural Network Weights Generation. ICLR Bedionita Soro, Bruno Andreis, Hayeon Lee, Wonyong Jeong, Song Chong, Frank Hutter, Sung Ju Hwang
2025	J	`jnl`	Efficient and robust 3D blind harmonization for large domain gaps. CoRR Hwihun Jeong, Hayeon Lee, Se Young Chun, Jongho Lee
2025	J	`jnl`	Open Set Recognition for Endoscopic Image Classification: A Deep Learning Approach on the Kvasir Dataset. CoRR Kasra Moazzami, Seoyoun Son, John Lin, Sun Min Lee, Daniel Son, Hayeon Lee, Jeongho Lee, Seongji Lee
2024	J	`jnl`	Diffusion-based Neural Network Weights Generation. CoRR Bedionita Soro, Bruno Andreis, Hayeon Lee, Song Chong, Frank Hutter, Sung Ju Hwang
2024	A*	`conf`	DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models. ICLR Sohyun An, Hayeon Lee, Jaehyeong Jo, Seanie Lee, Sung Ju Hwang
2024	B	`conf`	Disentangled Knowledge Distillation for Unified Multi-Class Anomaly Detection. ICIP Jiyong Jang, Hayeon Lee, Younkwan Lee
2023	—	`conf`	A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models. ACL (Findings) Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Sung Ju Hwang, Alexander Min
2023	J	`jnl`	A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models. CoRR Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Sung Ju Hwang, Alexander Min
2023	—	`conf`	Co-training and Co-distillation for Quality Improvement and Compression of Language Models. EMNLP (Findings) Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Hongbo Zhang, Sung Ju Hwang, Alexander Min
2023	J	`jnl`	Co-training and Co-distillation for Quality Improvement and Compression of Language Models. CoRR Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Hongbo Zhang, Sung Ju Hwang, Alexander Min
2023	J	`jnl`	DiffusionNAG: Task-guided Neural Architecture Generation with Diffusion Models. CoRR Sohyun An, Hayeon Lee, Jaehyeong Jo, Seanie Lee, Sung Ju Hwang
2023	A*	`conf`	Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets. ICLR Hayeon Lee, Sohyun An, Minseon Kim, Sung Ju Hwang
2023	J	`jnl`	Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets. CoRR Hayeon Lee, Sohyun An, Minseon Kim, Sung Ju Hwang
2022	A*	`conf`	Online Hyperparameter Meta-Learning with Hypergradient Distillation. ICLR Haebeom Lee, Hayeon Lee, Jaewoong Shin, Eunho Yang, Timothy M. Hospedales, Sung Ju Hwang
2022	J	`jnl`	SuperNet in Neural Architecture Search: A Taxonomic Survey. CoRR Stephen Cha, Taehyeon Kim, Hayeon Lee, Se-Young Yun
2021	A*	`conf`	FLUID-XP: flexible user interface distribution for cross-platform experience. MobiCom 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
2021	J	`jnl`	HELP: Hardware-Adaptive Efficient Latency Predictor for NAS via Meta-Learning. CoRR Hayeon Lee, Sewoong Lee, Song Chong, Sung Ju Hwang
2021	A*	`conf`	Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning. NeurIPS Hayeon Lee, Sewoong Lee, Song Chong, Sung Ju Hwang
2021	J	`jnl`	Online Hyperparameter Meta-Learning with Hypergradient Distillation. CoRR Haebeom Lee, Hayeon Lee, Jaewoong Shin, Eunho Yang, Timothy M. Hospedales, Sung Ju Hwang
2021	A*	`conf`	Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets. ICLR Hayeon Lee, Eunyoung Hyung, Sung Ju Hwang
2021	J	`jnl`	Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets. CoRR Hayeon Lee, Eunyoung Hyung, Sung Ju Hwang
2021	J	`jnl`	Task-Adaptive Neural Network Retrieval with Meta-Contrastive Learning. CoRR Wonyong Jeong, Hayeon Lee, Gun Park, Eunyoung Hyung, Jinheon Baek, Sung Ju Hwang
2021	A*	`conf`	Task-Adaptive Neural Network Search with Meta-Contrastive Learning. NeurIPS Wonyong Jeong, Hayeon Lee, Geon Park, Eunyoung Hyung, Jinheon Baek, Sung Ju Hwang
2020	A*	`conf`	Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks. ICLR Haebeom Lee, Hayeon Lee, Donghyun Na, Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang
2019	J	`jnl`	Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks. CoRR Donghyun Na, Hayeon Lee, Haebeom Lee, Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang
2019	J	`jnl`	Learning to Generalize to Unseen Tasks with Bilevel Optimization. CoRR Hayeon Lee, Donghyun Na, Haebeom Lee, Sung Ju Hwang