Jae-Joon Kim
12 papers · 2018–2025 · 7 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (16)
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Topic Evolution
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Conference Pioneer
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(11)
Deep Learning
(9)
Artificial Intelligence
(8)
Application Areas
(8)
Core AI
(8)
Optimization & Theory Β· Machine Learning
(4)
Techniques
(4)
Optimization & Theory Β· Deep Learning
(3)
Natural Language Processing
(2)
Architectures
(2)
Resources & Methods
(2)
Computer Vision
(1)
Generation
(1)
Learning Paradigms
(1)
Learning Types
(1)
Keywords
model compression
(7)
binary neural network
(4)
sparse matrix
(2)
activation function
(2)
weight pruning
(2)
post-training quantization
(2)
large language model
(2)
weight quantization
(2)
model binarization
(2)
efficient computing
(1)
gradient computation
(1)
neural architecture search
(1)
higher-order statistics
(1)
diffusion model
(1)
synaptic plasticity
(1)
viterbi algorithm
(1)
image synthesis
(1)
parameter-efficient fine-tuning
(1)
low-rank adaptation
(1)
memory efficiency
(1)
Papers
L4Q: Parameter Efficient Quantization-Aware Fine-Tuning on Large Language Models
ACL 2025
Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for Large Language Models
NeurIPS 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
Winning Both the Accuracy of Floating Point Activation and the Simplicity of Integer Arithmetic
ICLR 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
Unifying Activation- and Timing-based Learning Rules for Spiking Neural Networks
NeurIPS 2020
Double Viterbi: Weight Encoding for High Compression Ratio and Fast On-Chip Reconstruction for Deep Neural Network
ICLR 2019
Viterbi-based Pruning for Sparse Matrix with Fixed and High Index Compression Ratio
ICLR 2018