Jeimin Jeon
5 papers · 2024–2026 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Research topics
Keywords
supernet training
(2)
vision transformer
(2)
neural architecture search
(2)
learning rate scheduling
(1)
low-rank adaptation
(1)
feature collapse
(1)
weight quantization
(1)
progressive training
(1)
model efficiency
(1)
learning rate scheduler
(1)
quantization-aware training
(1)
dynamic training strategy
(1)
momentum separation
(1)
dynamic training
(1)
transformer architecture search
(1)
model compression
(1)
subnet feature learning
(1)
neural network optimization
(1)
network optimization
(1)
Papers
GrowTAS: Progressive Expansion from Small to Large Subnets for Efficient ViT Architecture Search
WACV 2026
TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts
CVPR 2026
Scheduling Weight Transitions for Quantization-Aware Training
ICCV 2025
Subnet-Aware Dynamic Supernet Training for Neural Architecture Search
CVPR 2025
Toward INT4 Fixed-Point Training via Exploring Quantization Error for Gradients
ECCV 2024