Jinuk Kim
5 papers · 2021–2025 · 2 venues · across top CS/AI venues
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Research topics
Machine Learning
(4)
Application Areas
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Core AI · Artificial Intelligence
(3)
Optimization & Theory · Machine Learning
(2)
Optimization & Theory · Deep Learning
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Architectures
(1)
Core AI · Computer Vision
(1)
Core Methods
(1)
Learning Paradigms
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Learning Types
(1)
Models
(1)
Keywords
dynamic programming
(2)
neural network pruning
(1)
zero-shot learning
(1)
few-shot learning
(1)
in-context learning
(1)
prompt engineering
(1)
network pruning
(1)
synthetic data
(1)
foundation model
(1)
data efficiency
(1)
activation function
(1)
inference latency
(1)
inference speedup
(1)
gradient information
(1)
dataset condensation
(1)
generative pre-trained transformer
(1)
channel pruning
(1)
layer pruning
(1)
korean language
(1)
convolution layer
(1)
Papers
GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance
ICML 2025
LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging
ICML 2024
Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming
ICML 2023
Dataset Condensation via Efficient Synthetic-Data Parameterization
ICML 2022
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers
EMNLP 2021