Hyungjun Kim
9 papers · 2020–2024 · 8 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(15)
🏆
Grand Slam
Top co-authors
Research topics
Machine Learning
(9)
Application Areas
(7)
Deep Learning
(6)
Artificial Intelligence
(5)
Core AI
(5)
Optimization & Theory · Machine Learning
(5)
Techniques
(3)
Models
(2)
Optimization & Theory · Deep Learning
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Speech & Audio
(1)
Architectures
(1)
Generation
(1)
Recognition
(1)
Keywords
binary neural network
(4)
model compression
(3)
post-training quantization
(2)
activation function
(2)
efficient computing
(2)
diffusion model
(2)
higher-order statistics
(1)
parameter-efficient fine-tuning
(1)
weight quantization
(1)
mixed-precision quantization
(1)
model binarization
(1)
transformer block
(1)
temporal variation
(1)
model efficiency
(1)
latency optimization
(1)
inference speedup
(1)
quantization-aware training
(1)
temporal convolution
(1)
gradient mismatch
(1)
large language model
(1)
Papers
OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models
AAAI 2024
RepTor: Re-parameterizable Temporal Convolution for Keyword Spotting via Differentiable Kernel Search
Interspeech 2024
SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks
ICML 2024
INSTA-BNN: Binary Neural Network with INSTAnce-aware Threshold
ICCV 2023
Leveraging Early-Stage Robustness in Diffusion Models for Efficient and High-Quality Image Synthesis
NeurIPS 2023
Searching for Robust Binary Neural Networks via Bimodal Parameter Perturbation
WACV 2023
Temporal Dynamic Quantization for Diffusion Models
NeurIPS 2023
Improving Accuracy of Binary Neural Networks Using Unbalanced Activation Distribution
CVPR 2021
BinaryDuo: Reducing Gradient Mismatch in Binary Activation Network by Coupling Binary Activations
ICLR 2020