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

Showing 34013450 of 4240 papers

TitleStatusHype
Contrastive Model Inversion for Data-Free Knowledge DistillationCode1
Class-Incremental Few-Shot Object Detection0
Undistillable: Making A Nasty Teacher That CANNOT teach studentsCode1
Graph-Free Knowledge Distillation for Graph Neural NetworksCode1
AgeFlow: Conditional Age Progression and Regression with Normalizing FlowsCode1
Boosting Light-Weight Depth Estimation Via Knowledge DistillationCode1
When Human Pose Estimation Meets Robustness: Adversarial Algorithms and BenchmarksCode1
MATE-KD: Masked Adversarial TExt, a Companion to Knowledge DistillationCode1
Stacked Acoustic-and-Textual Encoding: Integrating the Pre-trained Models into Speech Translation Encoders0
KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation0
Test-Time Adaptation Toward Personalized Speech Enhancement: Zero-Shot Learning with Knowledge Distillation0
Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates0
Initialization and Regularization of Factorized Neural LayersCode1
Black-Box Dissector: Towards Erasing-based Hard-Label Model Stealing Attack0
Contrastive Conditioning for Assessing Disambiguation in MT: A Case Study of Distilled BiasCode0
Knowledge Distillation for Swedish NER models: A Search for Performance and Efficiency0
A Peek Into the Reasoning of Neural Networks: Interpreting with Structural Visual Concepts0
Distilling EEG Representations via Capsules for Affective Computing0
Semantic Relation Preserving Knowledge Distillation for Image-to-Image Translation0
Spirit Distillation: A Model Compression Method with Multi-domain Knowledge Transfer0
LIDAR and Position-Aided mmWave Beam Selection with Non-local CNNs and Curriculum TrainingCode0
Interpretable Embedding Procedure Knowledge Transfer via Stacked Principal Component Analysis and Graph Neural NetworkCode0
Open-vocabulary Object Detection via Vision and Language Knowledge DistillationCode1
Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification0
Extract then Distill: Efficient and Effective Task-Agnostic BERT Distillation0
Distilling Audio-Visual Knowledge by Compositional Contrastive LearningCode1
Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases Recognition0
Voice2Mesh: Cross-Modal 3D Face Model Generation from VoicesCode1
Brittle Features May Help Anomaly Detection0
Orderly Dual-Teacher Knowledge Distillation for Lightweight Human Pose Estimation0
Balanced Knowledge Distillation for Long-tailed LearningCode1
EduPal leaves no professor behind: Supporting faculty via a peer-powered recommender system0
Distill on the Go: Online knowledge distillation in self-supervised learningCode1
Knowledge Distillation as Semiparametric InferenceCode0
Compact CNN Structure Learning by Knowledge Distillation0
Distilling Knowledge via Knowledge ReviewCode1
On Learning the Geodesic Path for Incremental LearningCode1
Ego-Exo: Transferring Visual Representations from Third-person to First-person VideosCode1
Counter-Interference Adapter for Multilingual Machine TranslationCode1
Continual Learning for Fake Audio Detection0
Integration of Pre-trained Networks with Continuous Token Interface for End-to-End Spoken Language Understanding0
Unsupervised Continual Learning Via Pseudo Labels0
Annealing Knowledge DistillationCode0
Sentence Embeddings by Ensemble Distillation0
The Curious Case of Hallucinations in Neural Machine TranslationCode0
RankDistil: Knowledge Distillation for Ranking0
Incremental Multi-Target Domain Adaptation for Object Detection with Efficient Domain TransferCode1
CXR Segmentation by AdaIN-based Domain Adaptation and Knowledge DistillationCode0
Dealing with Missing Modalities in the Visual Question Answer-Difference Prediction Task through Knowledge Distillation0
Source and Target Bidirectional Knowledge Distillation for End-to-end Speech Translation0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ScaleKD (T:BEiT-L S:ViT-B/14)Top-1 accuracy %86.43Unverified
2ScaleKD (T:Swin-L S:ViT-B/16)Top-1 accuracy %85.53Unverified
3ScaleKD (T:Swin-L S:ViT-S/16)Top-1 accuracy %83.93Unverified
4ScaleKD (T:Swin-L S:Swin-T)Top-1 accuracy %83.8Unverified
5KD++(T: regnety-16GF S:ViT-B)Top-1 accuracy %83.6Unverified
6VkD (T:RegNety 160 S:DeiT-S)Top-1 accuracy %82.9Unverified
7SpectralKD (T:Swin-S S:Swin-T)Top-1 accuracy %82.7Unverified
8ScaleKD (T:Swin-L S:ResNet-50)Top-1 accuracy %82.55Unverified
9DiffKD (T:Swin-L S: Swin-T)Top-1 accuracy %82.5Unverified
10DIST (T: Swin-L S: Swin-T)Top-1 accuracy %82.3Unverified
#ModelMetricClaimedVerifiedStatus
1SRD (T:resnet-32x4, S:shufflenet-v2)Top-1 Accuracy (%)79.86Unverified
2shufflenet-v2(T:resnet-32x4, S:shufflenet-v2)Top-1 Accuracy (%)78.76Unverified
3MV-MR (T: CLIP/ViT-B-16 S: resnet50)Top-1 Accuracy (%)78.6Unverified
4resnet8x4 (T: resnet32x4 S: resnet8x4)Top-1 Accuracy (%)78.28Unverified
5resnet8x4 (T: resnet32x4 S: resnet8x4 [modified])Top-1 Accuracy (%)78.08Unverified
6ReviewKD++(T:resnet-32x4, S:shufflenet-v2)Top-1 Accuracy (%)77.93Unverified
7ReviewKD++(T:resnet-32x4, S:shufflenet-v1)Top-1 Accuracy (%)77.68Unverified
8resnet8x4 (T: resnet32x4 S: resnet8x4)Top-1 Accuracy (%)77.5Unverified
9resnet8x4 (T: resnet32x4 S: resnet8x4)Top-1 Accuracy (%)76.68Unverified
10resnet8x4 (T: resnet32x4 S: resnet8x4)Top-1 Accuracy (%)76.31Unverified
#ModelMetricClaimedVerifiedStatus
1LSHFM (T: ResNet101 S: ResNet50)mAP93.17Unverified
2LSHFM (T: ResNet101 S: MobileNetV2)mAP90.14Unverified
#ModelMetricClaimedVerifiedStatus
1TIE-KD (T: Adabins S: MobileNetV2)RMSE2.43Unverified