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 4001–4050 of 4240 papers

TitleStatusHype
Random Path Selection for Continual LearningCode0
Knowledge Extraction with No Observable DataCode0
Online Knowledge Distillation with Diverse PeersCode0
Towards Oracle Knowledge Distillation with Neural Architecture Search—0
Distributed Soft Actor-Critic with Multivariate Reward Representation and Knowledge DistillationCode0
QKD: Quantization-aware Knowledge Distillation—0
Data-Driven Compression of Convolutional Neural Networks—0
Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers—0
Few Shot Network Compression via Cross DistillationCode0
Search to Distill: Pearls are Everywhere but not the Eyes—0
Neural Network Pruning with Residual-Connections and Limited-DataCode0
Towards Making Deep Transfer Learning Never Hurt—0
Data Efficient Stagewise Knowledge DistillationCode0
Collaborative Distillation for Top-N Recommendation—0
Knowledge Representing: Efficient, Sparse Representation of Prior Knowledge for Knowledge Distillation—0
Graph Representation Learning via Multi-task Knowledge Distillation—0
Knowledge Distillation in Document Retrieval—0
MKD: a Multi-Task Knowledge Distillation Approach for Pretrained Language Models—0
Knowledge Distillation for Incremental Learning in Semantic Segmentation—0
Deep geometric knowledge distillation with graphsCode0
Teacher-Student Training for Robust Tacotron-based TTS—0
Understanding Knowledge Distillation in Non-autoregressive Machine Translation—0
Microsoft Research Asia's Systems for WMT19—0
Weakly Supervised Cross-lingual Semantic Relation Classification via Knowledge Distillation—0
ESPnet How2 Speech Translation System for IWSLT 2019: Pre-training, Knowledge Distillation, and Going Deeper—0
Natural Language Generation for Effective Knowledge DistillationCode0
Distilling Pixel-Wise Feature Similarities for Semantic Segmentation—0
A Simple but Effective BERT Model for Dialog State Tracking on Resource-Limited Systems—0
MOD: A Deep Mixture Model with Online Knowledge Distillation for Large Scale Video Temporal Concept LocalizationCode0
Variational Student: Learning Compact and Sparser Networks in Knowledge Distillation Framework—0
Secost: Sequential co-supervision for large scale weakly labeled audio event detection—0
An Empirical Study of Efficient ASR Rescoring with Transformers—0
Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning—0
Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System—0
A Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone—0
VarGFaceNet: An Efficient Variable Group Convolutional Neural Network for Lightweight Face RecognitionCode0
Noise as a Resource for Learning in Knowledge Distillation—0
Cross-modal knowledge distillation for action recognition—0
Knowledge Distillation from Internal Representations—0
Distilling BERT into Simple Neural Networks with Unlabeled Transfer Data—0
On the Efficacy of Knowledge Distillation—0
AntMan: Sparse Low-Rank Compression to Accelerate RNN inference—0
Improving Word Embedding Factorization for Compression Using Distilled Nonlinear Neural Decomposition—0
A Bayesian Optimization Framework for Neural Network Compression—0
Training convolutional neural networks with cheap convolutions and online distillationCode0
Compact Trilinear Interaction for Visual Question AnsweringCode0
Proactive Sequence Generator via Knowledge Acquisition—0
SELF-KNOWLEDGE DISTILLATION ADVERSARIAL ATTACK—0
Distilled embedding: non-linear embedding factorization using knowledge distillation—0
Collaborative Inter-agent Knowledge Distillation for Reinforcement Learning—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