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 4151–4200 of 4240 papers

TitleStatusHype
MT2KD: Towards A General-Purpose Encoder for Speech, Speaker, and Audio Events—0
MTKD: Multi-Teacher Knowledge Distillation for Image Super-Resolution—0
MulDE: Multi-teacher Knowledge Distillation for Low-dimensional Knowledge Graph Embeddings—0
Multi-adversarial Faster-RCNN with Paradigm Teacher for Unrestricted Object Detection—0
Multi-Branch Mutual-Distillation Transformer for EEG-Based Seizure Subtype Classification—0
Multi-Channel Multi-Domain based Knowledge Distillation Algorithm for Sleep Staging with Single-Channel EEG—0
Cultural Commonsense Knowledge for Intercultural Dialogues—0
Multi-Document Financial Question Answering using LLMs—0
Multi-Frame Self-Supervised Depth Estimation with Multi-Scale Feature Fusion in Dynamic Scenes—0
Multi-Frame to Single-Frame: Knowledge Distillation for 3D Object Detection—0
Multi-Grained Knowledge Distillation for Named Entity Recognition—0
Multi-Granularity Contrastive Knowledge Distillation for Multimodal Named Entity Recognition—0
Multi-Granularity Semantic Revision for Large Language Model Distillation—0
Multi-head Knowledge Distillation for Model Compression—0
Multi-label Class Incremental Emotion Decoding with Augmented Emotional Semantics Learning—0
Multi-label Contrastive Predictive Coding—0
Multi-label Emotion Analysis in Conversation via Multimodal Knowledge Distillation—0
Multi-level Distillation of Semantic Knowledge for Pre-training Multilingual Language Model—0
Multilingual Neural Machine Translation:Can Linguistic Hierarchies Help?—0
Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help?—0
Multi-MLLM Knowledge Distillation for Out-of-Context News Detection—0
Multimodal Commonsense Knowledge Distillation for Visual Question Answering—0
Multi-modal Cross-domain Self-supervised Pre-training for fMRI and EEG Fusion—0
Multi-Modal Few-Shot Object Detection with Meta-Learning-Based Cross-Modal Prompting—0
Multi-Modality Distillation via Learning the teacher's modality-level Gram Matrix—0
Multimodal Locally Enhanced Transformer for Continuous Sign Language Recognition—0
Multimodal Prescriptive Deep Learning—0
Multi-Objective Diverse Human Motion Prediction With Knowledge Distillation—0
Multi-Person Full Body Pose Estimation—0
Multi-perspective Contrastive Logit Distillation—0
Multiple Degradation and Reconstruction Network for Single Image Denoising via Knowledge Distillation—0
Multi scale Feature Extraction and Fusion for Online Knowledge Distillation—0
Learning to Purification for Unsupervised Person Re-identification—0
Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching—0
Multi-stage Progressive Compression of Conformer Transducer for On-device Speech Recognition—0
Multi-Strategy Knowledge Distillation Based Teacher-Student Framework for Machine Reading Comprehension—0
Multitask Emotion Recognition Model with Knowledge Distillation and Task Discriminator—0
Multi-Task Learning with Knowledge Distillation for Dense Prediction—0
Multi-Teacher Knowledge Distillation for Incremental Implicitly-Refined Classification—0
Multivariate Prototype Representation for Domain-Generalized Incremental Learning—0
Multi-View Attention Transfer for Efficient Speech Enhancement—0
Multi-View Feature Representation for Dialogue Generation with Bidirectional Distillation—0
Multi-View Knowledge Distillation from Crowd Annotations for Out-of-Domain Generalization—0
Multi-view knowledge distillation transformer for human action recognition—0
MUSE: Feature Self-Distillation with Mutual Information and Self-Information—0
MUST: A Multilingual Student-Teacher Learning approach for low-resource speech recognition—0
Mutual Adversarial Training: Learning together is better than going alone—0
Mutual Information Guided Backdoor Mitigation for Pre-trained Encoders—0
Mutual Learning for Finetuning Click-Through Rate Prediction Models—0
Mutual-Learning Improves End-to-End Speech Translation—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