← Authors

Hayeon Lee

10 papers · 2020–2025 · 4 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (4) πŸƒ Academic Marathon (5) πŸ—ΊοΈ Taxonomy Completionist (21) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge πŸ”₯ Unstoppable (6) πŸ’Ž Century Club (10)

Conferences

ICLR (6) NIPS (2) ACL (1) EMNLP (1)

Top co-authors

Sung Ju Hwang (9) Sohyun An (2) Wonyong Jeong (2) Hae Beom Lee (2) Alexander Min (2) Jongpil Kim (2) Song Chong (2) Eunyoung Hyung (2) Eunho Yang (2) Rui Hou (2)

Keywords

language model (2) pre-trained language model (2) knowledge distillation (2) neural architecture search (2) transfer learning (2) model compression (2) mutual distillation (1) latency prediction (1) hardware-aware computing (1) weak teacher (1) parameter remapping (1) neural network search (1) amortized meta-learning (1) contrastive learning (1) few-shot learning (1) efficient computing (1) model zoo (1) model efficiency (1)

Papers

Diffusion-based Neural Network Weights Generation ICLR 2025
DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models ICLR 2024
Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets ICLR 2023
Co-training and Co-distillation for Quality Improvement and Compression of Language Models EMNLP 2023
A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models ACL 2023
Online Hyperparameter Meta-Learning with Hypergradient Distillation ICLR 2022
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets ICLR 2021
Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning NIPS 2021
Task-Adaptive Neural Network Search with Meta-Contrastive Learning NIPS 2021
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks ICLR 2020