Hayeon Lee
10 papers · 2020–2025 · 4 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (25)
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Topic Evolution
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Unstoppable · Bronze
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(10)
Artificial Intelligence
(8)
Learning Paradigms · Artificial Intelligence
(7)
Deep Learning
(5)
Application Areas
(5)
Optimization & Theory · Machine Learning
(4)
Learning Types · Deep Learning
(3)
Core AI
(2)
Learning Types · Machine Learning
(2)
Models
(2)
Optimization & Theory · Deep Learning
(2)
Techniques
(2)
Natural Language Processing
(1)
Learning Paradigms · Machine Learning
(1)
Resources & Methods
(1)
Keywords
neural architecture search
(5)
knowledge distillation
(4)
transfer learning
(4)
language model
(2)
few-shot learning
(2)
pre-trained language model
(2)
model compression
(2)
diffusion model
(2)
bayesian optimization
(1)
pre-trained model
(1)
model zoo
(1)
model efficiency
(1)
few-shot classification
(1)
gradient-based meta-learning
(1)
mutual distillation
(1)
student architecture
(1)
graph neural network
(1)
latency prediction
(1)
network weight
(1)
hardware-aware computing
(1)
Papers
Diffusion-based Neural Network Weights Generation
ICLR 2025
DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models
ICLR 2024
A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models
ACL 2023
Co-training and Co-distillation for Quality Improvement and Compression of Language Models
EMNLP 2023
Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets
ICLR 2023
Online Hyperparameter Meta-Learning with Hypergradient Distillation
ICLR 2022
Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning
NeurIPS 2021
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets
ICLR 2021
Task-Adaptive Neural Network Search with Meta-Contrastive Learning
NeurIPS 2021
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks
ICLR 2020