Hayeon Lee
10 papers · 2020–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (4) π Academic Marathon (5) πΊοΈ Taxonomy Completionist (21) π§ Keyword Pioneer
π
Interdisciplinary Bridge
π₯
Unstoppable
(6)
π
Century Club
(10)
Conferences
ICLR (6)
NIPS (2)
ACL (1)
EMNLP (1)
Top co-authors
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