Hyungjun Kim
9 papers · 2020–2024 · 8 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (9) π§ Keyword Pioneer π Conference Polyglot (8) π Interdisciplinary Bridge π Renaissance Researcher (5)
πΊοΈ
Taxonomy Completionist
(13)
π
Grand Slam
Conferences
NIPS (2)
AAAI (1)
CVPR (1)
ICCV (1)
ICLR (1)
ICML (1)
INTERSPEECH (1)
WACV (1)
Top co-authors
Keywords
binary neural network
(3)
post-training quantization
(2)
efficient computing
(2)
diffusion model
(2)
model compression
(2)
keyword spotting
(1)
higher-order statistics
(1)
parameter-efficient fine-tuning
(1)
activation function
(1)
weight quantization
(1)
mixed-precision quantization
(1)
model binarization
(1)
temporal variation
(1)
model efficiency
(1)
latency optimization
(1)
quantization-aware training
(1)
temporal convolution
(1)
large language model
(1)
accuracy degradation
(1)
outlier-aware quantization
(1)
Papers
RepTor: Re-parameterizable Temporal Convolution for Keyword Spotting via Differentiable Kernel Search
INTERSPEECH 2024
OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models
AAAI 2024
SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks
ICML 2024
Searching for Robust Binary Neural Networks via Bimodal Parameter Perturbation
WACV 2023
Temporal Dynamic Quantization for Diffusion Models
NIPS 2023
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
NIPS 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