Neural Network Quantization for Efficient Inference: A Survey

8 December 2021

Papers citing "Neural Network Quantization for Efficient Inference: A Survey"

7 / 7 papers shown

Title
Efficient Deployment of Spiking Neural Networks on SpiNNaker2 for DVS Gesture Recognition Using Neuromorphic Intermediate Representation Sirine Arfa Bernhard Vogginger Chen Liu Johannes Partzsch Mark Schöne Christian Mayr 24 0 0 09 Apr 2025
Efficient Split Learning LSTM Models for FPGA-based Edge IoT Devices Romina Soledad Molina Vukan Ninkovic D. Vukobratović Maria Liz Crespo Marco Zennaro 35 0 0 12 Feb 2025
Neural Architecture Codesign for Fast Bragg Peak Analysis Luke McDermott Jason Weitz Dmitri Demler Daniel Cummings N. Tran Javier Mauricio Duarte MQ 17 0 0 10 Dec 2023
Watt For What: Rethinking Deep Learning's Energy-Performance Relationship Shreyank N. Gowda Xinyue Hao Gen Li Laura Sevilla-Lara Shashank Narayana Gowda HAI 13 10 0 10 Oct 2023
Model Compression Methods for YOLOv5: A Review Mohammad Jani Jamil Fayyad Younes Al Younes H. Najjaran 31 14 0 21 Jul 2023
Low Precision Quantization-aware Training in Spiking Neural Networks with Differentiable Quantization Function Ayan Shymyrbay M. Fouda Ahmed M. Eltawil MQ 16 6 0 30 May 2023
Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementation Pedro J. Freire A. Napoli D. A. Ron B. Spinnler M. Anderson W. Schairer T. Bex N. Costa S. Turitsyn Jaroslaw E. Prilepsky 25 28 0 26 Aug 2022