Issues · CompML/survey-model-compression · GitHub

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[WIP]CDFI: Compression-Driven Network Design for Frame Interpolation

#38

· ryoherisson opened

on Jun 18, 2021

[WIP]Complementary Relation Contrastive Distillation

knowledge distillation

#37

· ryoherisson opened

on Jun 17, 2021

Learnable Companding Quantization for Accurate Low-bit Neural Networks

network quantization

#36

· ryoherisson opened

on Jun 16, 2021

Diversifying Sample Generation for Accurate Data-Free Quantization

network quantization

#35

· ryoherisson opened

on Jun 16, 2021

Zero-shot Adversarial Quantization

network quantization

#34

· ryoherisson opened

on Jun 11, 2021

Network Quantization with Element-wise Gradient Scaling

network quantization

#33

· ryoherisson opened

on Jun 10, 2021

[WIP]Fast and Accurate Model Scaling

#32

· ryoherisson opened

on Jun 10, 2021

Towards Compact CNNs via Collaborative Compression

network pruning

tensor decomposition

#31

· ryoherisson opened

on Jun 9, 2021

Dynamic Slimmable Network

network pruning

#30

· ryoherisson opened

on Jun 3, 2021

Manifold Regularized Dynamic Network Pruning

network pruning

#29

· ryoherisson opened

on Jun 3, 2021

ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network

representation bottleneck

#28

· ryoherisson opened

on Jun 3, 2021

RepVGG: Making VGG-style ConvNets Great Again

structural re-parameterization

#27

· ryoherisson opened

on Jun 3, 2021