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 2301–2350 of 4240 papers

TitleStatusHype
LEAD: Liberal Feature-based Distillation for Dense Retrieval—0
Complete-to-Partial 4D Distillation for Self-Supervised Point Cloud Sequence Representation Learning—0
Knowledge Distillation Applied to Optical Channel Equalization: Solving the Parallelization Problem of Recurrent Connection—0
Occlusion-Robust FAU Recognition by Mining Latent Space of Masked Autoencoders—0
Enhancing Low-Density EEG-Based Brain-Computer Interfaces with Similarity-Keeping Knowledge DistillationCode1
Life-long Learning for Multilingual Neural Machine Translation with Knowledge Distillation—0
Open World DETR: Transformer based Open World Object Detection—0
Leveraging Different Learning Styles for Improved Knowledge Distillation in Biomedical Imaging—0
FedUKD: Federated UNet Model with Knowledge Distillation for Land Use Classification from Satellite and Street ViewsCode1
Single image calibration using knowledge distillation approaches—0
DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection—0
The RoyalFlush System for the WMT 2022 Efficiency Task—0
Injecting Spatial Information for Monaural Speech Enhancement via Knowledge Distillation—0
StructVPR: Distill Structural Knowledge with Weighting Samples for Visual Place Recognition—0
Improving Simultaneous Machine Translation with Monolingual DataCode1
BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for BEV 3D Object DetectionCode1
Distilling Reasoning Capabilities into Smaller Language ModelsCode0
Random Copolymer inverse design system orienting on Accurate discovering of Antimicrobial peptide-mimetic copolymers—0
HEAT: Hardware-Efficient Automatic Tensor Decomposition for Transformer Compression—0
Explicit Knowledge Transfer for Weakly-Supervised Code Generation—0
Hint-dynamic Knowledge Distillation—0
Attention-Based Depth Distillation with 3D-Aware Positional Encoding for Monocular 3D Object DetectionCode0
Coordinating Cross-modal Distillation for Molecular Property Prediction—0
Knowledge Distillation based Degradation Estimation for Blind Super-ResolutionCode1
Feature-domain Adaptive Contrastive Distillation for Efficient Single Image Super-Resolution—0
Curriculum Temperature for Knowledge DistillationCode1
SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for Few-shot Image ClassificationCode0
BJTU-WeChat's Systems for the WMT22 Chat Translation Task—0
Inter-KD: Intermediate Knowledge Distillation for CTC-Based Automatic Speech Recognition—0
Lightning Fast Video Anomaly Detection via Adversarial Knowledge DistillationCode0
Dense Interspecies Face EmbeddingCode1
Class-aware Information for Logit-based Knowledge Distillation—0
Unbiased Knowledge Distillation for RecommendationCode1
EPIK: Eliminating multi-model Pipelines with Knowledge-distillation—0
SKDBERT: Compressing BERT via Stochastic Knowledge Distillation—0
XKD: Cross-modal Knowledge Distillation with Domain Alignment for Video Representation LearningCode1
Look Around and Refer: 2D Synthetic Semantics Knowledge Distillation for 3D Visual GroundingCode1
MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous AttentionCode1
Distilling Knowledge from Self-Supervised Teacher by Embedding Graph AlignmentCode1
Structural Knowledge Distillation for Object Detection—0
Join the High Accuracy Club on ImageNet with A Binary Neural Network TicketCode1
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge TracingCode1
Backdoor Cleansing with Unlabeled DataCode1
On the Transferability of Visual Features in Generalized Zero-Shot LearningCode0
Blind Knowledge Distillation for Robust Image ClassificationCode0
Privacy in Practice: Private COVID-19 Detection in X-Ray Images (Extended Version)Code0
Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge DistillationCode1
Multi-Level Knowledge Distillation for Out-of-Distribution Detection in TextCode1
AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation—0
Scalable Collaborative Learning via Representation Sharing—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