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Nov 21, 2017
network-pruning
Here are 44 public repositories matching this topic...
Channel-Prioritized Convolutional Neural Networks for Sparsity and Multi-fidelity
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Feb 23, 2018 - Python
collection of works aiming at reducing model sizes or the ASIC/FPGA accelerator for machine learning
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Jul 8, 2018
Improved Implementation of Single Shot MultiBox Detector, RefineDet and Network Optimization in Pytorch 07/2018
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Aug 17, 2018 - Python
Network acceleration methods
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Sep 23, 2018
Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)
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May 7, 2019 - Python
SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY
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Jun 26, 2019 - Python
Tensorflow codes for "Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers"
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Oct 14, 2019 - Python
Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934
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Mar 3, 2020 - Python
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May 28, 2020 - Python
Implementation of Autoslim using Tensorflow2
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Jun 5, 2020 - Python
Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)
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Jun 7, 2020 - Python
[ICLR 2020]: 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'
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Jun 8, 2020 - Python
CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencoders
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Jul 22, 2020 - Python
Reducing the computational overhead of Deep CNNs through parameter pruning and tensor decomposition.
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Jul 26, 2020 - Python
Knowledge distillation from Ensembles of Iterative pruning (BMVC 2020)
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Aug 13, 2020 - Jupyter Notebook
LSTM, NLP task에 대한 lt hypothesis의 범용성을 검증하는 연구입니다.
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Aug 20, 2020 - Jupyter Notebook
Lookahead: A Far-sighted Alternative of Magnitude-based Pruning (ICLR 2020)
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Oct 25, 2020 - Python
Cheng-Hao Tu, Jia-Hong Lee, Yi-Ming Chan and Chu-Song Chen, "Pruning Depthwise Separable Convolutions for MobileNet Compression," International Joint Conference on Neural Networks, IJCNN 2020, July 2020.
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Jan 8, 2021 - Python
This repository contains a Pytorch implementation of the article "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" and an application of this hypothesis to reinforcement learning
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Apr 8, 2021 - Python
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