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https://github.com/jiecaoyu/reading_list
https://github.com/jiecaoyu/reading_list
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- Host: GitHub
- URL: https://github.com/jiecaoyu/reading_list
- Owner: jiecaoyu
- Created: 2017-06-12T17:10:01.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2017-09-02T05:55:45.000Z (over 7 years ago)
- Last Synced: 2024-08-01T22:42:25.538Z (4 months ago)
- Size: 8.79 KB
- Stars: 6
- Watchers: 4
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Intro
I am Jiecao YU, a PhD student in the University of Michigan.
This is a paper reading list about DNN acceleration (also general Deep Learning).
Still under construction.
# DNN Acceleration
## DNN architecture
- MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
[ [paper](https://arxiv.org/pdf/1704.04861.pdf) | 20170612001 ]
- LightRNN: Memory and Computation-Efficient Recurrent Neural Networks
[ [paper](https://arxiv.org/pdf/1610.09893.pdf) | 20170612005 ]
- ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
[ [paper](https://128.84.21.199/abs/1707.01083) | 20170713001 ]## Accelerators
- Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators
[ [paper](http://vlsiarch.eecs.harvard.edu/wp-content/uploads/2016/05/reagen_isca16.pdf) | 20170630001 ]## DNN pruning
- Pruning Convolutional Neural Networks for Resource Efficient Transfer Learning
[ [paper](https://arxiv.org/pdf/1611.06440.pdf) | 20170612002 ]
- Learning Structured Sparsity in Deep Neural Networks
[ [paper](https://arxiv.org/pdf/1608.03665.pdf) | 20170612003 ]
- Dynamic Network Surgery for Efficient DNNs
[ [paper](https://arxiv.org/pdf/1608.04493.pdf) | 20170612004 ]
- Pruning Filters for Efficient ConvNets
[ [paper](https://arxiv.org/pdf/1608.08710.pdf) | 20170901001 ]
- Data-Driven Sparse Structure Selection for Deep Neural Networks
[ [paper](https://arxiv.org/pdf/1707.01213.pdf) | 20170901002 ]
- ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression
[ [paper](http://lamda.nju.edu.cn/luojh/project/ThiNet_ICCV17/ThiNet_ICCV17.html) | 20170901003 ]
- Scalpel: Customizing DNN Pruning to the Underlying Hardware Parallelism
[ [paper](http://www-personal.umich.edu/~jiecaoyu/papers/jiecaoyu-isca17.pdf) | 20170901004 ]## Binarized neural network
- Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
[ [paper](https://arxiv.org/pdf/1602.02830.pdf) | 20170901005 ]
- XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
[ [paper](https://arxiv.org/pdf/1603.05279.pdf) | 20170901006 ]# Others