Pre-defined Sparsity for Low-Complexity Convolutional Neural Networks

29 January 2020

Papers citing "Pre-defined Sparsity for Low-Complexity Convolutional Neural Networks"

6 / 6 papers shown

Title
STen: Productive and Efficient Sparsity in PyTorch Andrei Ivanov Nikoli Dryden Tal Ben-Nun Saleh Ashkboos Torsten Hoefler 34 4 0 15 Apr 2023
HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training with Crafted Input Noise Souvik Kundu Massoud Pedram P. Beerel AAML 19 71 0 06 Oct 2021
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding Gourav Datta Souvik Kundu P. Beerel 48 27 0 26 Jul 2021
AttentionLite: Towards Efficient Self-Attention Models for Vision Souvik Kundu Sairam Sundaresan 16 22 0 21 Dec 2020
Pre-Defined Sparse Neural Networks with Hardware Acceleration Sourya Dey Kuan-Wen Huang P. Beerel K. Chugg 41 24 0 04 Dec 2018
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 337 1,049 0 10 Feb 2017