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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 2651–2700 of 4240 papers

TitleStatusHype
Digital Twin-Assisted Knowledge Distillation Framework for Heterogeneous Federated Learning—0
Dynamic Y-KD: A Hybrid Approach to Continual Instance Segmentation—0
Robust Knowledge Distillation from RNN-T Models With Noisy Training Labels Using Full-Sum Loss—0
Learning the Wrong Lessons: Inserting Trojans During Knowledge Distillation—0
NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging—0
Gradient-Guided Knowledge Distillation for Object Detectors—0
Adaptive Knowledge Distillation between Text and Speech Pre-trained Models—0
PreFallKD: Pre-Impact Fall Detection via CNN-ViT Knowledge DistillationCode0
KDSM: An uplift modeling framework based on knowledge distillation and sample matching—0
Students Parrot Their Teachers: Membership Inference on Model Distillation—0
IKD+: Reliable Low Complexity Deep Models For Retinopathy Classification—0
X^3KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object Detection—0
Pre-trained Model Representations and their Robustness against Noise for Speech Emotion Analysis—0
Unsupervised Deep Digital Staining For Microscopic Cell Images Via Knowledge Distillation—0
Letz Translate: Low-Resource Machine Translation for Luxembourgish—0
Distilling Multi-Level X-vector Knowledge for Small-footprint Speaker Verification—0
Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning—0
Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning—0
Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based Artificial BiasCode0
Towards domain generalisation in ASR with elitist sampling and ensemble knowledge distillation—0
Incremental Learning of Acoustic Scenes and Sound Events—0
Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation—0
Language-Universal Adapter Learning with Knowledge Distillation for End-to-End Multilingual Speech RecognitionCode0
Leveraging Angular Distributions for Improved Knowledge Distillation—0
A Light-weight Deep Learning Model for Remote Sensing Image Classification—0
Ensemble knowledge distillation of self-supervised speech models—0
A Knowledge Distillation framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image—0
Teacher Intervention: Improving Convergence of Quantization Aware Training for Ultra-Low Precision TransformersCode0
Personalized Decentralized Federated Learning with Knowledge Distillation—0
Exploring Social Media for Early Detection of Depression in COVID-19 PatientsCode0
Practical Knowledge Distillation: Using DNNs to Beat DNNs—0
Debiased Distillation by Transplanting the Last Layer—0
Distilling Calibrated Student from an Uncalibrated Teacher—0
KS-DETR: Knowledge Sharing in Attention Learning for Detection TransformerCode0
CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge DIStilled RegularizationCode0
Two-in-one Knowledge Distillation for Efficient Facial Forgery Detection—0
The Role of Masking for Efficient Supervised Knowledge Distillation of Vision Transformers—0
HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers—0
RobustDistiller: Compressing Universal Speech Representations for Enhanced Environment Robustness—0
Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning—0
Explicit and Implicit Knowledge Distillation via Unlabeled Data—0
Few-shot 3D LiDAR Semantic Segmentation for Autonomous Driving—0
Learning From Biased Soft Labels—0
Cross Modal Distillation for Flood Extent Mapping—0
Fuzzy Knowledge Distillation from High-Order TSK to Low-Order TSK—0
LEALLA: Learning Lightweight Language-agnostic Sentence Embeddings with Knowledge Distillation—0
New Insights on Relieving Task-Recency Bias for Online Class Incremental LearningCode0
ST-MFNet Mini: Knowledge Distillation-Driven Frame InterpolationCode0
Offline-to-Online Knowledge Distillation for Video Instance Segmentation—0
A lightweight network for photovoltaic cell defect detection in electroluminescence images based on neural architecture search and knowledge 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