Hayeon Lee

According to our database1, Hayeon Lee authored at least 16 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Diffusion-based Neural Network Weights Generation.
CoRR, 2024

DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
DiffusionNAG: Task-guided Neural Architecture Generation with Diffusion Models.
CoRR, 2023

Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Co-training and Co-distillation for Quality Improvement and Compression of Language Models.
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.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
SuperNet in Neural Architecture Search: A Taxonomic Survey.
CoRR, 2022

Online Hyperparameter Meta-Learning with Hypergradient Distillation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
HELP: Hardware-Adaptive Efficient Latency Predictor for NAS via Meta-Learning.
CoRR, 2021

Task-Adaptive Neural Network Retrieval with Meta-Contrastive Learning.
CoRR, 2021

Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning.
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.
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.
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.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Learning to Generalize to Unseen Tasks with Bilevel Optimization.
CoRR, 2019


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