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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 4001–4050 of 4240 papers

TitleStatusHype
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
Local Correlation Consistency for Knowledge Distillation—0
LoCa: Logit Calibration for Knowledge Distillation—0
Locally Linear Region Knowledge Distillation—0
Local-Selective Feature Distillation for Single Image Super-Resolution—0
Local-to-Global Self-Supervised Representation Learning for Diabetic Retinopathy Grading—0
Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps—0
Logic Distillation: Learning from Code Function by Function for Planning and Decision-making—0
Logits Poisoning Attack in Federated Distillation—0
LokiLM: Technical Report—0
Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning—0
Long-Range Zero-Shot Generative Deep Network Quantization—0
Long-Tailed Continual Learning For Visual Food Recognition—0
Long-tailed Food Classification—0
Hierarchical Knowledge Guided Learning for Real-world Retinal Diseases Recognition—0
Long-Tailed Question Answering in an Open World—0
Long-Term Vehicle Localization by Recursive Knowledge Distillation—0
LookALike: Human Mimicry based collaborative decision making—0
Look Backward and Forward: Self-Knowledge Distillation with Bidirectional Decoder for Neural Machine Translation—0
Look One and More: Distilling Hybrid Order Relational Knowledge for Cross-Resolution Image Recognition—0
Lost in Distillation: A Case Study in Toxicity Modeling—0
Low-Complexity Inference in Continual Learning via Compressed Knowledge Transfer—0
Low-Dimensional Federated Knowledge Graph Embedding via Knowledge Distillation—0
Low-Latency Incremental Text-to-Speech Synthesis with Distilled Context Prediction Network—0
Low-Resolution Chest X-ray Classification via Knowledge Distillation and Multi-task Learning—0
Low-resolution Face Recognition in the Wild via Selective Knowledge Distillation—0
Low-Resolution Face Recognition via Adaptable Instance-Relation Distillation—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