HyperSNN: A new efficient and robust deep learning model for resource constrained control applications

16 August 2023

Papers citing "HyperSNN: A new efficient and robust deep learning model for resource constrained control applications"

10 / 10 papers shown

Title
Reinforcement learning Florentin Wörgötter 82 2,544 0 16 May 2024
Inverse Approximation Theory for Nonlinear Recurrent Neural Networks Shida Wang Zhong Li Qianxiao Li 48 8 0 30 May 2023
Reinforcement Learning with Quantum Variational Circuits Owen Lockwood Mei Si 52 138 0 15 Aug 2020
Classification using Hyperdimensional Computing: A Review Lulu Ge Keshab K. Parhi 23 181 0 19 Apr 2020
Training with Quantization Noise for Extreme Model Compression Angela Fan Pierre Stock Benjamin Graham Edouard Grave Remi Gribonval Hervé Jégou Armand Joulin MQ 70 245 0 15 Apr 2020
Once-for-All: Train One Network and Specialize it for Efficient Deployment Han Cai Chuang Gan Tianzhe Wang Zhekai Zhang Song Han OOD 98 1,277 0 26 Aug 2019
Network Pruning via Transformable Architecture Search Xuanyi Dong Yi Yang 3DPC 63 241 0 23 May 2019
HAQ: Hardware-Aware Automated Quantization with Mixed Precision Kuan-Chieh Wang Zhijian Liu Chengyue Wu Ji Lin Song Han MQ 115 879 0 21 Nov 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 200 3,457 0 09 Mar 2018
Adaptive Neural Networks for Efficient Inference Tolga Bolukbasi Joseph Wang O. Dekel Venkatesh Saligrama 49 355 0 25 Feb 2017