Hayeon Lee

According to our database, Hayeon Lee authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Diffusion-based Neural Network Weights Generation.

Bedionita Soro, Bruno Andreis, Hayeon Lee, Song Chong, Frank Hutter, Sung Ju Hwang

CoRR, 2024

DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models.

Sohyun An, Hayeon Lee, Jaehyeong Jo, Seanie Lee, Sung Ju Hwang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

DiffusionNAG: Task-guided Neural Architecture Generation with Diffusion Models.

Sohyun An, Hayeon Lee, Jaehyeong Jo, Seanie Lee, Sung Ju Hwang

CoRR, 2023

Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets.

Hayeon Lee, Sohyun An, Minseon Kim, Sung Ju Hwang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

SuperNet in Neural Architecture Search: A Taxonomic Survey.

Stephen Cha, Taehyeon Kim, Hayeon Lee, Se-Young Yun

CoRR, 2022

Online Hyperparameter Meta-Learning with Hypergradient Distillation.

Haebeom Lee, Hayeon Lee, Jaewoong Shin, Eunho Yang, Timothy M. Hospedales, Sung Ju Hwang

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

HELP: Hardware-Adaptive Efficient Latency Predictor for NAS via Meta-Learning.

Hayeon Lee, Sewoong Lee, Song Chong, Sung Ju Hwang

CoRR, 2021

Task-Adaptive Neural Network Retrieval with Meta-Contrastive Learning.

Wonyong Jeong, Hayeon Lee, Gun Park, Eunyoung Hyung, Jinheon Baek, Sung Ju Hwang

CoRR, 2021

Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning.

Hayeon Lee, Sewoong Lee, Song Chong, Sung Ju Hwang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Task-Adaptive Neural Network Search with Meta-Contrastive Learning.

Wonyong Jeong, Hayeon Lee, Geon Park, Eunyoung Hyung, Jinheon Baek, Sung Ju Hwang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Proceedings of the ACM MobiCom '21: The 27th Annual International Conference on Mobile Computing and Networking, 2021

Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets.

Hayeon Lee, Eunyoung Hyung, Sung Ju Hwang

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

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

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Learning to Generalize to Unseen Tasks with Bilevel Optimization.

Hayeon Lee, Donghyun Na, Haebeom Lee, Sung Ju Hwang

CoRR, 2019