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Knowledge Distillation

Knowledge distillation is the process of transferring knowledge from a large model to a smaller one. While large models (such as very deep neural networks or ensembles of many models) have higher knowledge capacity than small models, this capacity might not be fully utilized.

Papers

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Showing 3151–3200 of 4240 papers

TitleStatusHype
Leveraging Advantages of Interactive and Non-Interactive Models for Vector-Based Cross-Lingual Information Retrieval—0
Leveraging Angular Distributions for Improved Knowledge Distillation—0
Leveraging ASR Pretrained Conformers for Speaker Verification through Transfer Learning and Knowledge Distillation—0
Leveraging Conditional Mutual Information to Improve Large Language Model Fine-Tuning For Classification—0
Leveraging Different Learning Styles for Improved Knowledge Distillation in Biomedical Imaging—0
Leveraging Expert Models for Training Deep Neural Networks in Scarce Data Domains: Application to Offline Handwritten Signature Verification—0
FTSmartAudit: A Knowledge Distillation-Enhanced Framework for Automated Smart Contract Auditing Using Fine-Tuned LLMs—0
Leveraging Foundation Models To learn the shape of semi-fluid deformable objects—0
Leveraging Knowledge Distillation for Lightweight Skin Cancer Classification: Balancing Accuracy and Computational Efficiency—0
Leveraging Large Language Models for Enhanced NLP Task Performance through Knowledge Distillation and Optimized Training Strategies—0
Leveraging Recent Advances in Deep Learning for Audio-Visual Emotion Recognition—0
Li3DeTr: A LiDAR based 3D Detection Transformer—0
Life-Code: Central Dogma Modeling with Multi-Omics Sequence Unification—0
Lifelong GAN: Continual Learning for Conditional Image Generation—0
Lifelong Intent Detection via Multi-Strategy Rebalancing—0
Life-long Learning for Multilingual Neural Machine Translation with Knowledge Distillation—0
Lifelong Learning for Neural powered Mixed Integer Programming—0
Lifelong Learning via Progressive Distillation and Retrospection—0
Lifelong Object Detection—0
Lifelong Person Search—0
Lifelong Twin Generative Adversarial Networks—0
Lifelong Unsupervised Domain Adaptive Person Re-identification with Coordinated Anti-forgetting and Adaptation—0
LightBTSeg: A lightweight breast tumor segmentation model using ultrasound images via dual-path joint knowledge distillation—0
Light distillation for Incremental Graph Convolution Collaborative Filtering—0
LightPAFF: A Two-Stage Distillation Framework for Pre-training and Fine-tuning—0
LightVessel: Exploring Lightweight Coronary Artery Vessel Segmentation via Similarity Knowledge Distillation—0
Lightweight 3D Human Pose Estimation Network Training Using Teacher-Student Learning—0
Lightweight Contrastive Distilled Hashing for Online Cross-modal Retrieval—0
Lightweight Modality Adaptation to Sequential Recommendation via Correlation Supervision—0
Lightweight Neural Network with Knowledge Distillation for CSI Feedback—0
Lightweight Sound Event Detection Model with RepVGG Architecture—0
Lightweight Task-Oriented Semantic Communication Empowered by Large-Scale AI Models—0
Limitations of Knowledge Distillation for Zero-shot Transfer Learning—0
Linear Projections of Teacher Embeddings for Few-Class Distillation—0
Linkless Link Prediction via Relational Distillation—0
Lip-Listening: Mixing Senses to Understand Lips using Cross Modality Knowledge Distillation for Word-Based Models—0
Lipschitz Continuity Guided Knowledge Distillation—0
ListBERT: Learning to Rank E-commerce products with Listwise BERT—0
LIT: Block-wise Intermediate Representation Training for Model Compression—0
LiT: Delving into a Simplified Linear Diffusion Transformer for Image Generation—0
LIX: Implicitly Infusing Spatial Geometric Prior Knowledge into Visual Semantic Segmentation for Autonomous Driving—0
Llama-Nemotron: Efficient Reasoning Models—0
LLAVADI: What Matters For Multimodal Large Language Models Distillation—0
LLaVA-Ultra: Large Chinese Language and Vision Assistant for Ultrasound—0
LLM-based Privacy Data Augmentation Guided by Knowledge Distillation with a Distribution Tutor for Medical Text Classification—0
LLM Distillation for Efficient Few-Shot Multiple Choice Question Answering—0
LLM-driven Knowledge Distillation for Dynamic Text-Attributed Graphs—0
LLM Pretraining with Continuous Concepts—0
LLM-RadJudge: Achieving Radiologist-Level Evaluation for X-Ray Report Generation—0
LLMR: Knowledge Distillation with a Large Language Model-Induced Reward—0
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All datasetsImageNetCIFAR-100COCO (Common Objects in Context)COCO 2017 valPASCAL VOCKITTI

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ScaleKD (T:BEiT-L S:ViT-B/14)Top-1 accuracy %86.43—Unverified
2ScaleKD (T:Swin-L S:ViT-B/16)Top-1 accuracy %85.53—Unverified
3ScaleKD (T:Swin-L S:ViT-S/16)Top-1 accuracy %83.93—Unverified
4ScaleKD (T:Swin-L S:Swin-T)Top-1 accuracy %83.8—Unverified
5KD++(T: regnety-16GF S:ViT-B)Top-1 accuracy %83.6—Unverified
6VkD (T:RegNety 160 S:DeiT-S)Top-1 accuracy %82.9—Unverified
7SpectralKD (T:Swin-S S:Swin-T)Top-1 accuracy %82.7—Unverified
8ScaleKD (T:Swin-L S:ResNet-50)Top-1 accuracy %82.55—Unverified
9DiffKD (T:Swin-L S: Swin-T)Top-1 accuracy %82.5—Unverified
10DIST (T: Swin-L S: Swin-T)Top-1 accuracy %82.3—Unverified
#ModelMetricClaimedVerifiedStatus
1SRD (T:resnet-32x4, S:shufflenet-v2)Top-1 Accuracy (%)79.86—Unverified
2shufflenet-v2(T:resnet-32x4, S:shufflenet-v2)Top-1 Accuracy (%)78.76—Unverified
3MV-MR (T: CLIP/ViT-B-16 S: resnet50)Top-1 Accuracy (%)78.6—Unverified
4resnet8x4 (T: resnet32x4 S: resnet8x4)Top-1 Accuracy (%)78.28—Unverified
5resnet8x4 (T: resnet32x4 S: resnet8x4 [modified])Top-1 Accuracy (%)78.08—Unverified
6ReviewKD++(T:resnet-32x4, S:shufflenet-v2)Top-1 Accuracy (%)77.93—Unverified
7ReviewKD++(T:resnet-32x4, S:shufflenet-v1)Top-1 Accuracy (%)77.68—Unverified
8resnet8x4 (T: resnet32x4 S: resnet8x4)Top-1 Accuracy (%)77.5—Unverified
9resnet8x4 (T: resnet32x4 S: resnet8x4)Top-1 Accuracy (%)76.68—Unverified
10resnet8x4 (T: resnet32x4 S: resnet8x4)Top-1 Accuracy (%)76.31—Unverified
#ModelMetricClaimedVerifiedStatus
1LSHFM (T: ResNet101 S: ResNet50)mAP77.16—Unverified
2LSHFM (T: ResNet101 S: MobileNetV2)mAP73.73—Unverified
3ADLIK-Faster (T: Faster R-CNN vit-base S: Faster R-CNN deit-small) box AP47.6—Unverified
4ADLIK-Mask (T: Mask R-CNN vit-base S: Mask R-CNN deit-small)mask AP42.4—Unverified
#ModelMetricClaimedVerifiedStatus
1ReviewKD++(T: faster rcnn(resnet101), S:faster rcnn(resnet50))AP@0.561.8—Unverified
2ReviewKD++(T: faster rcnn(resnet101), S:faster rcnn(resnet18))AP@0.557.96—Unverified
3ReviewKD++(T: faster rcnn(resnet101), S:faster rcnn(mobilenet-v2))AP@0.555.18—Unverified
#ModelMetricClaimedVerifiedStatus
1LSHFM (T: ResNet101 S: ResNet50)mAP93.17—Unverified
2LSHFM (T: ResNet101 S: MobileNetV2)mAP90.14—Unverified
#ModelMetricClaimedVerifiedStatus
1TIE-KD (T: Adabins S: MobileNetV2)RMSE2.43—Unverified