SOTAVerified

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 3901–3950 of 4240 papers

TitleStatusHype
G^2D: Boosting Multimodal Learning with Gradient-Guided DistillationCode0
Revisiting Knowledge Distillation for Autoregressive Language ModelsCode0
Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient DistillationCode0
Revisiting Knowledge Distillation under Distribution ShiftCode0
Distillation-based fabric anomaly detectionCode0
Multiple Teachers-Meticulous Student: A Domain Adaptive Meta-Knowledge Distillation Model for Medical Image ClassificationCode0
F-VLM: Open-Vocabulary Object Detection upon Frozen Vision and Language ModelsCode0
Knowledge-guided Causal Intervention for Weakly-supervised Object LocalizationCode0
Structured Knowledge Distillation for Dense PredictionCode0
Distill2Vec: Dynamic Graph Representation Learning with Knowledge DistillationCode0
Multi-source-free Domain Adaptation via Uncertainty-aware Adaptive DistillationCode0
Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge DistillationCode0
Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence GenerationCode0
Structured Knowledge Distillation for Semantic SegmentationCode0
Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity MatchingCode0
Revisiting Knowledge Distillation via Label Smoothing RegularizationCode0
Towards Class-wise Fair Adversarial Training via Anti-Bias Soft Label DistillationCode0
WaterMono: Teacher-Guided Anomaly Masking and Enhancement Boosting for Robust Underwater Self-Supervised Monocular Depth EstimationCode0
Disentangling spatio-temporal knowledge for weakly supervised object detection and segmentation in surgical videoCode0
FS-BAN: Born-Again Networks for Domain Generalization Few-Shot ClassificationCode0
From underwater to aerial: a novel multi-scale knowledge distillation approach for coral reef monitoringCode0
Preference-Consistent Knowledge Distillation for Recommender SystemCode0
CKD: Contrastive Knowledge Distillation from A Sample-wise PerspectiveCode0
Multi-Teacher Knowledge Distillation For Text Image Machine TranslationCode0
Multi Teacher Privileged Knowledge Distillation for Multimodal Expression RecognitionCode0
Multi-to-Single Knowledge Distillation for Point Cloud Semantic SegmentationCode0
Right Time to Learn:Promoting Generalization via Bio-inspired Spacing Effect in Knowledge DistillationCode0
Chemical transformer compression for accelerating both training and inference of molecular modelingCode0
Frequency-Guided Masking for Enhanced Vision Self-Supervised LearningCode0
An Efficient End-to-End Approach to Noise Invariant Speech Features via Multi-Task LearningCode0
Frameless Graph Knowledge DistillationCode0
Discourse Structures Guided Fine-grained Propaganda IdentificationCode0
MiniDisc: Minimal Distillation Schedule for Language Model CompressionCode0
FractalAD: A simple industrial anomaly detection method using fractal anomaly generation and backbone knowledge distillationCode0
Student Becomes Decathlon Master in Retinal Vessel Segmentation via Dual-teacher Multi-target Domain AdaptationCode0
Robust and Accurate Object Detection via Self-Knowledge DistillationCode0
Mutli-View 3D Reconstruction using Knowledge DistillationCode0
Exploring Generalizable Distillation for Efficient Medical Image SegmentationCode0
DiSCo: LLM Knowledge Distillation for Efficient Sparse Retrieval in Conversational SearchCode0
Digital Staining with Knowledge Distillation: A Unified Framework for Unpaired and Paired-But-Misaligned DataCode0
Analyzing the Confidentiality of Undistillable Teachers in Knowledge DistillationCode0
Mutual-Learning Knowledge Distillation for Nighttime UAV TrackingCode0
A Unified Object Counting Network with Object Occupation PriorCode0
Student Helping Teacher: Teacher Evolution via Self-Knowledge DistillationCode0
Towards Data-Free Domain GeneralizationCode0
MV-MR: multi-views and multi-representations for self-supervised learning and knowledge distillationCode0
Robust Knowledge Distillation Based on Feature Variance Against Backdoored Teacher ModelCode0
Accelerated Proton Resonance Frequency-based Magnetic Resonance Thermometry by Optimized Deep Learning MethodCode0
Foundation Models for Structural Health MonitoringCode0
Natural Language Generation for Effective Knowledge DistillationCode0
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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