Baeseong Park
6 papers · 2020–2024 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(13)
🐣
Hot Topic Early Bird
🌱
Topic Pioneer
Venues
Top co-authors
Research topics
Deep Learning
(6)
Artificial Intelligence
(5)
Machine Learning
(5)
Application Areas
(5)
Core AI
(5)
Optimization & Theory · Deep Learning
(4)
Natural Language Processing
(2)
Architectures
(2)
Applications
(1)
Learning Types
(1)
Models
(1)
Optimization & Theory · Machine Learning
(1)
Resources & Methods
(1)
Techniques
(1)
Keywords
model compression
(4)
weight quantization
(3)
neural network optimization
(2)
matrix multiplication
(2)
network pruning
(1)
energy efficiency
(1)
deep neural network
(1)
parameter-efficient fine-tuning
(1)
edge device
(1)
inference optimization
(1)
sparse neural network
(1)
mixed-precision quantization
(1)
low-bit quantization
(1)
look-up table
(1)
on-device inference
(1)
mixed precision
(1)
binary neural network
(1)
unstructured pruning
(1)
generative language model
(1)
integer arithmetic
(1)
Papers
LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models
ICLR 2024
Winning Both the Accuracy of Floating Point Activation and the Simplicity of Integer Arithmetic
ICLR 2023
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models
EMNLP 2022
Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation
EMNLP 2020
FleXOR: Trainable Fractional Quantization
NeurIPS 2020
Structured Compression by Weight Encryption for Unstructured Pruning and Quantization
CVPR 2020