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 1101–1150 of 4240 papers

TitleStatusHype
Aligning (Medical) LLMs for (Counterfactual) FairnessCode0
D^2TV: Dual Knowledge Distillation and Target-oriented Vision Modeling for Many-to-Many Multimodal SummarizationCode0
Leaning Compact and Representative Features for Cross-Modality Person Re-IdentificationCode0
cViL: Cross-Lingual Training of Vision-Language Models using Knowledge DistillationCode0
BEBERT: Efficient and Robust Binary Ensemble BERTCode0
Customizing Synthetic Data for Data-Free Student LearningCode0
Language Model Knowledge Distillation for Efficient Question Answering in SpanishCode0
Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient DistillationCode0
CSE: Surface Anomaly Detection with Contrastively Selected EmbeddingCode0
Language-Universal Adapter Learning with Knowledge Distillation for End-to-End Multilingual Speech RecognitionCode0
Large-Scale Data-Free Knowledge Distillation for ImageNet via Multi-Resolution Data GenerationCode0
Learning to Maximize Mutual Information for Chain-of-Thought DistillationCode0
Knowledge Transfer Graph for Deep Collaborative LearningCode0
Cross-View Consistency Regularisation for Knowledge DistillationCode0
KS-DETR: Knowledge Sharing in Attention Learning for Detection TransformerCode0
Knowledge Grafting of Large Language ModelsCode0
BAM! Born-Again Multi-Task Networks for Natural Language UnderstandingCode0
Adaptive Decoupled Pose Knowledge DistillationCode0
Cross-modal Knowledge Distillation for Vision-to-Sensor Action RecognitionCode0
Knowledge Extraction with No Observable DataCode0
KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from ServerCode0
Knowledge Distillation with Adversarial Samples Supporting Decision BoundaryCode0
Cross Modality Knowledge Distillation for Multi-Modal Aerial View Object ClassificationCode0
Alignahead: Online Cross-Layer Knowledge Extraction on Graph Neural NetworksCode0
Knowledge Distillation with Reptile Meta-Learning for Pretrained Language Model CompressionCode0
Knowledge Distillation via Instance Relationship GraphCode0
Knowledge Distillation of Russian Language Models with Reduction of VocabularyCode0
Knowledge Distillation Performs Partial Variance ReductionCode0
A Lightweight Target-Driven Network of Stereo Matching for Inland WaterwaysCode0
Knowledge Distillation in RNN-Attention Models for Early Prediction of Student PerformanceCode0
Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based Artificial BiasCode0
Knowledge Distillation Layer that Lets the Student DecideCode0
Knowledge distillation to effectively attain both region-of-interest and global semantics from an image where multiple objects appearCode0
Cross-feature Contrastive Loss for Decentralized Deep Learning on Heterogeneous DataCode0
Knowledge Distillation from Cross Teaching Teachers for Efficient Semi-Supervised Abdominal Organ Segmentation in CTCode0
Few Sample Knowledge Distillation for Efficient Network CompressionCode0
Knowledge Distillation from Single to Multi Labels: an Empirical StudyCode0
Knowledge Distillation For Wireless Edge LearningCode0
Knowledge Distillation for Singing Voice DetectionCode0
Knowledge Distillation for Detection Transformer with Consistent Distillation Points SamplingCode0
Knowledge Distillation for End-to-End Person SearchCode0
Knowledge Distillation-Based Model Extraction Attack using GAN-based Private Counterfactual ExplanationsCode0
Knowledge Distillation by On-the-Fly Native EnsembleCode0
Knowledge Distillation as Semiparametric InferenceCode0
AVQACL: A Novel Benchmark for Audio-Visual Question Answering Continual LearningCode0
Knowledge Distillation By Sparse Representation MatchingCode0
Knowledge Distillation for Multi-Target Domain Adaptation in Real-Time Person Re-IdentificationCode0
Co-Teaching for Unsupervised Domain Adaptation and ExpansionCode0
Knowledge Distillation approach towards Melanoma DetectionCode0
Auxiliary Learning for Self-Supervised Video Representation via Similarity-based 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