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Journal
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2026 |
Adaptive Progressive Learning for Real-time Fire Source Prediction with Limited Re-training Data
Ahn Yusun Engineering Applications of Artificial Intelligence, v.166, no.A, pp.1-25 |
0 |
원문
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Journal
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2026 |
Def-Ag: An energy-efficient decentralized federated learning framework via aggregator clients
박준영 Future Generation Computer Systems, v.175, pp.1-17 |
0 |
원문
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Conference
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2025 |
Analyzing the Superiority of Logit Standardization in Knowledge Distillation for Efficient Deployment in AAM Environments
Mun Gwon Han International Conference on Information and Communication Technology Convergence (ICTC) 2025, pp.648-651 |
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Journal
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2025 |
LGD-BEV: Label-Guided Distillation for BEV 3D Object Detection
Lee Jiyong IEEE Access, v.13, pp.181836-181845 |
0 |
원문
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Journal
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2025 |
BCRNet-SNN: Body Channel Response-Aware Spiking Neural Network for User Recognition
신찬우 IEEE Transactions on Industrial Informatics, v.21, no.8, pp.6017-6027 |
1 |
원문
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Journal
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2025 |
BCRNet-SNN: Body Channel Response-Aware Spiking Neural Network for User Recognition
Kang Tae Wook IEEE Transactions on Industrial Informatics, v.21, no.8, pp.6017-6027 |
1 |
원문
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Conference
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2025 |
Enhancing Off-Road Semantic Segmentation with Synthetic NIR Generation and Knowledge Distillation
Kim Wonjune International Conference on Robotics and Automation (ICRA) 2025 : Workshop, pp.1-6 |
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Journal
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2024 |
SITRAN: Self-Supervised IDS With Transferable Techniques for 5G Industrial Environments
Kimhyunjin IEEE Internet of Things Journal, v.11, no.21, pp.35465-35476 |
6 |
원문
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Conference
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2024 |
DiT-Pruner: Pruning Diffusion Transformer Models for Text-to-Image Synthesis Using Human Preference Scores
Youngwan Lee European Conference on Computer Vision (ECCV) 2024, pp.1-9 |
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Conference
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2024 |
PC-LoRA: Low-Rank Adaptation for Progressive Model Compression with Knowledge Distillation
박혜원 Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2024, pp.1-8 |
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Conference
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2024 |
PC-LoRA: Low-Rank Adaptation for Progressive Model Compression with Knowledge Distillation
황인준 Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2024, pp.1-8 |
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Conference
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2024 |
PC-LoRA: Low-Rank Adaptation for Progressive Model Compression with Knowledge Distillation
Youngwan Lee Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2024, pp.1-8 |
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Journal
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2023 |
Weighted knowledge distillation of attention-LRCN for recognizing affective states from PPG signals
최지호 Expert Systems with Applications, v.233, pp.1-10 |
9 |
원문
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Journal
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2023 |
Attention-Based Bi-Prediction Network for Versatile Video Coding (VVC) over 5G Network
최영주 Sensors, v.23, no.5, pp.1-19 |
5 |
원문
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Conference
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2022 |
Rethinking Group Fisher Pruning for Efficient Label-Free Network Compression
Jongryul Lee British Machine Vision Conference (BMVC) 2022, pp.1-12 |
1 |
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Journal
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2022 |
A Method of Deep Learning Model Optimization for Image Classification on Edge Device
Hyungkeuk Lee Sensors, v.22, no.19, pp.1-15 |
25 |
원문
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Journal
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2022 |
Semi-Supervised Domain Adaptation for Multi-Label Classification on Nonintrusive Load Monitoring
허청환 Sensors, v.22, no.15, pp.1-20 |
21 |
원문
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Journal
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2021 |
Uncertainty-Aware Knowledge Distillation for Collision Identification of Collaborative Robots
Wookyong Kwon Sensors, v.21, no.19, pp.1-16 |
9 |
원문
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Conference
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2021 |
A Study on the Application of Knowledge Distillation in Ship Type Classification Model Development
Jiwon Lee International Conference on Information and Communication Technology Convergence (ICTC) 2021, pp.280-282 |
0 |
원문
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Journal
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2021 |
Adversarial Optimization-Based Knowledge Transfer of Layer-Wise Dense Flow for Image Classification
Yeo Doyeob Applied Sciences, v.11, no.8, pp.1-16 |
2 |
원문
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Conference
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2020 |
Knowledge Distillation based Compact Model Learning Method for Object Detection
Ko Jong-Gook International Conference on Information and Communication Technology Convergence (ICTC) 2020, pp.1276-1278 |
4 |
원문
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Conference
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2020 |
Towards Understanding Architectural Effects on Knowledge Distillation
Ik Hee Shin International Conference on Information and Communication Technology Convergence (ICTC) 2020, pp.1144-1146 |
0 |
원문
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Journal
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2020 |
Knowledge Transfer for On-Device Deep Reinforcement Learning in Resource Constrained Edge Computing Systems
Ingook Jang IEEE Access, v.8, pp.146588-146597 |
36 |
원문
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Journal
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2019 |
Layer‐wise hint‐based training for knowledge transfer in a teacher‐student framework
Ji-Hoon Bae ETRI Journal, v.41, no.2, pp.242-253 |
8 |
원문
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Journal
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2019 |
Recent R&D Trends for Lightweight Deep Learning
Lee Yong-Ju 전자통신동향분석, v.34, no.2, pp.40-50 |
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원문
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Conference
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2017 |
A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning
임준호 Conference on Computer Vision and Pattern Recognition (CVPR) 2017, pp.7130-7138 |
1389 |
원문
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Journal
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2017 |
Performance Analysis of Hint-KD Training Approach for the Teacher-Student Framework Using Deep Residual Networks
Ji-Hoon Bae 전자공학회논문지, v.54, no.5, pp.35-41 |
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원문
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