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KamalEngine
Knowledge Amalgamation Engineawesome-neural-trees
Introduction, selected papers and possible corresponding codes in our review paper "A Survey of Neural Trees"CMI
[IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge DistillationFast-Datafree
[AAAI-2022] Up to 100x Faster Data-free Knowledge DistillationMosaicKD
[NeurIPS-2021] Mosaicking to Distill: Knowledge Distillation from Out-of-Domain DataDEPARA
(CVPR 2020 oral) DEPARA : Deep Attribution Graph for Deep Knowledge TransferbilityMEAT-TIL
CVPR2022: Meta-attention for ViT-backed Continual LearningNetGraft
The implementation of AAAI 2021 Paper: "Progressive Network Grafting for Few-Shot Knowledge Distillation".ProtoPFormer
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image RecognitionTransferbilityFromAttributionMaps
(NeurIPS 2019) Deep Model Transferbility from Attribution Mapsspot-adaptive-pytorch
training_free_model_merging
This repository is the implementation of the paper Training Free Pretrained Model Merging (CVPR2024).EVS-Net
CommonFeatureLearning
(IJCAI 2019) Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learningmodelgif
This repository is an implementation of the paper ModelGiF: Gradient Fields for Model Functional Distance (ICCV2023)One-GORD
NeurIPS2020: One-sample Guided Object Representation DisassemblingHML
Human in the loop Machine Learning SystemDeepModel-Evaluation-CV
This is a repository of multi-dimensional evaluation frameworks for computer vision deep learning modelsใBKT
[AAAI-2021] Visual Boundary Knowledge Translation for Foreground SegmentationConstituentAttention
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