Hayeon Lee

According to our database¹, Hayeon Lee authored at least 20 papers between 2019 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2025

Open Set Recognition for Endoscopic Image Classification: A Deep Learning Approach on the Kvasir Dataset.

[BibT_eX]

[DOI]

CoRR, June, 2025

Efficient and robust 3D blind harmonization for large domain gaps.

[BibT_eX]

[DOI]

CoRR, May, 2025

Diffusion-based Neural Network Weights Generation.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Diffusion-based Neural Network Weights Generation.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Disentangled Knowledge Distillation for Unified Multi-Class Anomaly Detection.

[BibT_eX]

[DOI]

Jiyong Jang

Hayeon Lee

Younkwan Lee

Proceedings of the IEEE International Conference on Image Processing, 2024

2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Co-training and Co-distillation for Quality Improvement and Compression of Language Models.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2022

SuperNet in Neural Architecture Search: A Taxonomic Survey.

[BibT_eX]

[DOI]

CoRR, 2022

Online Hyperparameter Meta-Learning with Hypergradient Distillation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2019

Learning to Generalize to Unseen Tasks with Bilevel Optimization.

[BibT_eX]

[DOI]

CoRR, 2019

Hayeon Lee

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