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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 101–150 of 4240 papers

TitleStatusHype
Accessing Vision Foundation Models at ImageNet-level CostsCode2
Scaled Decoupled DistillationCode2
Can LLMs Learn by Teaching for Better Reasoning? A Preliminary StudyCode2
Self-Training with Direct Preference Optimization Improves Chain-of-Thought ReasoningCode2
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt TuningCode2
Sinkhorn Distance Minimization for Knowledge DistillationCode2
SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-ImprovementCode2
SSDA-YOLO: Semi-supervised Domain Adaptive YOLO for Cross-Domain Object DetectionCode2
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-TuningCode2
Rethinking Transformer-Based Blind-Spot Network for Self-Supervised Image DenoisingCode2
Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge DistillationCode2
Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel BaselineCode2
Distillation-Supervised Convolutional Low-Rank Adaptation for Efficient Image Super-ResolutionCode2
VkD: Improving Knowledge Distillation using Orthogonal ProjectionsCode2
DOT: A Distillation-Oriented TrainerCode2
Scalable Zero-shot Entity Linking with Dense Entity RetrievalCode2
Improving the Training of Rectified FlowsCode2
Decoupled Knowledge DistillationCode2
ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated DataCode2
Diffusion Time-step Curriculum for One Image to 3D GenerationCode2
Dual-Space Knowledge Distillation for Large Language ModelsCode2
Are Large Kernels Better Teachers than Transformers for ConvNets?Code2
Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model InferenceCode2
Let Images Give You More:Point Cloud Cross-Modal Training for Shape AnalysisCode2
Optimizing Edge AI: A Comprehensive Survey on Data, Model, and System StrategiesCode2
Anomaly Detection via Reverse Distillation from One-Class EmbeddingCode2
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point CloudsCode2
OBSeg: Accurate and Fast Instance Segmentation Framework Using Segmentation Foundation Models with Oriented Bounding Box PromptsCode2
Cross-Image Relational Knowledge Distillation for Semantic SegmentationCode2
A Deep Knowledge Distillation framework for EEG assisted enhancement of single-lead ECG based sleep stagingCode1
Collaborative Distillation for Ultra-Resolution Universal Style TransferCode1
Model LEGO: Creating Models Like Disassembling and Assembling Building BlocksCode1
AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-directional Metric LearningCode1
Coaching a Teachable StudentCode1
COMEDIAN: Self-Supervised Learning and Knowledge Distillation for Action Spotting using TransformersCode1
CMDFusion: Bidirectional Fusion Network with Cross-modality Knowledge Distillation for LIDAR Semantic SegmentationCode1
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual LearningCode1
CMD: Self-supervised 3D Action Representation Learning with Cross-modal Mutual DistillationCode1
Aggretriever: A Simple Approach to Aggregate Textual Representations for Robust Dense Passage RetrievalCode1
CLRKDNet: Speeding up Lane Detection with Knowledge DistillationCode1
Communication-Efficient Federated Learning through Adaptive Weight Clustering and Server-Side DistillationCode1
CLIP model is an Efficient Continual LearnerCode1
CLIP-KD: An Empirical Study of CLIP Model DistillationCode1
CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental LearningCode1
Understanding the Role of the Projector in Knowledge DistillationCode1
Adaptive Multi-Teacher Multi-level Knowledge DistillationCode1
CLIP-guided Federated Learning on Heterogeneous and Long-Tailed DataCode1
FocusNet: Classifying Better by Focusing on Confusing ClassesCode1
Adaptive Multi-Teacher Knowledge Distillation with Meta-LearningCode1
Class-incremental Novel Class DiscoveryCode1
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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