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FATNN: Fast and Accurate Ternary Neural Networks

  • Published:2021-10 Issue: Volume: Page:
  • ISSN:
  • Container-title:2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • language:
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Author:

Chen Peng1,Zhuang Bohan1,Shen Chunhua1

Affiliation:

1. Monash University,Data Science & AI,Australia

Publisher

IEEE

Reference52 articles.

1. FINN

2. How to train a compact binary neural network with high accuracy?;tang;Proc AAAI Conf on Arti Intel,2017

3. Model compression via distillation and quantization;polino;Proc Int Conf Learn Repren,2018

4. Automatic differentiation in pytorch;paszke;Proc Adv Neural Inf Process Syst Workshops,2017

5. Weighted-Entropy-Based Quantization for Deep Neural Networks

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2. Comparative Analysis of the Linear Regions in ReLU and LeakyReLU Networks;Communications in Computer and Information Science;2023-11-26

3. SG-Float: Achieving Memory Access and Computing Power Reduction Using Self-Gating Float in CNNs;ACM Transactions on Embedded Computing Systems;2023-11-09

4. 2D van der Waals Vertical Heterojunction Transistors for Ternary Neural Networks;Nano Letters;2023-10-27

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