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 501–550 of 4240 papers

TitleStatusHype
Advancing Pre-trained Teacher: Towards Robust Feature Discrepancy for Anomaly DetectionCode1
Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation ModelsCode1
Discriminator-Cooperated Feature Map Distillation for GAN CompressionCode1
Complementary Relation Contrastive DistillationCode1
Directed Acyclic Transformer for Non-Autoregressive Machine TranslationCode1
Learning Compatible EmbeddingsCode1
A Deep Knowledge Distillation framework for EEG assisted enhancement of single-lead ECG based sleep stagingCode1
Learning Distilled Collaboration Graph for Multi-Agent PerceptionCode1
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed ClassificationCode1
Learning Generalizable Models for Vehicle Routing Problems via Knowledge DistillationCode1
Channel-Aware Distillation Transformer for Depth Estimation on Nano DronesCode1
DisCo: Distilled Student Models Co-training for Semi-supervised Text MiningCode1
Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from A Conditional Causal PerspectiveCode1
Extending global-local view alignment for self-supervised learning with remote sensing imageryCode1
Digging into contrastive learning for robust depth estimation with diffusion modelsCode1
DIOD: Self-Distillation Meets Object DiscoveryCode1
Channel Distillation: Channel-Wise Attention for Knowledge DistillationCode1
A Contrastive Distillation Approach for Incremental Semantic Segmentation in Aerial ImagesCode1
Channel Gating Neural NetworksCode1
Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge DistillationCode1
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighterCode1
Distilling a Powerful Student Model via Online Knowledge DistillationCode1
Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational AgentsCode1
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge TracingCode1
DialoKG: Knowledge-Structure Aware Task-Oriented Dialogue GenerationCode1
DE-RRD: A Knowledge Distillation Framework for Recommender SystemCode1
A Dual-Space Framework for General Knowledge Distillation of Large Language ModelsCode1
DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery CluesCode1
Dice Semimetric Losses: Optimizing the Dice Score with Soft LabelsCode1
Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge GraphsCode1
Deliberated Domain Bridging for Domain Adaptive Semantic SegmentationCode1
Dense Interspecies Face EmbeddingCode1
CEN-HDR: Computationally Efficient neural Network for real-time High Dynamic Range imagingCode1
Deformation Flow Based Two-Stream Network for Lip ReadingCode1
Densely Guided Knowledge Distillation using Multiple Teacher AssistantsCode1
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual LearningCode1
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation TrainerCode1
Anti-Distillation Backdoor Attacks: Backdoors Can Really Survive in Knowledge DistillationCode1
Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance SegmentationCode1
Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine TranslationCode1
DeepAqua: Self-Supervised Semantic Segmentation of Wetland Surface Water Extent with SAR Images using Knowledge DistillationCode1
Deep Graph-level Anomaly Detection by Glocal Knowledge DistillationCode1
Deep Structured Instance Graph for Distilling Object DetectorsCode1
Decomposed Knowledge Distillation for Class-Incremental Semantic SegmentationCode1
Data-Free Network Quantization With Adversarial Knowledge DistillationCode1
AD-KD: Attribution-Driven Knowledge Distillation for Language Model CompressionCode1
DA-Mamba: Domain Adaptive Hybrid Mamba-Transformer Based One-Stage Object DetectionCode1
Decoupled Kullback-Leibler Divergence LossCode1
Data-Free Knowledge Distillation for Heterogeneous Federated LearningCode1
Data-Free Class-Incremental Hand Gesture RecognitionCode1
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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