EfficientDNNs

by MingSun-Tse

MingSun-Tse /EfficientDNNs

Collection of recent methods on DNN compression and acceleration

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EfficientDNNs

A collection of recent methods on DNN compression and acceleration. There are mainly 5 kinds of methods for efficient DNNs: - neural architecture re-designing or searching - maintain accuracy, less cost (e.g., #Params, #FLOPs, etc.): MobileNet, ShuffleNet etc. - maintain cost, more accuracy: Inception, ResNeXt, Xception etc. - pruning (including structured and unstructured) - quantization - matrix decomposition - knowledge distillation

About abbreviation: In the list below,

o
for oral,
w
for workshop,
s
for spotlight,
b
for best paper.

Papers

NAS (Neural Architecture Search)

Papers-Interpretability

Papers-Knowledge Distillation

People (in alphabeta order)

People in NAS (in alphabeta order)

Venues

Lightweight DNN Engines/APIs

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