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Direct Quantization for Training Highly Accurate Low Bit-width Deep
  Neural Networks

Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks

International Joint Conference on Artificial Intelligence (IJCAI), 2020
26 December 2020
Ziquan Liu
Wuguannan Yao
Qiao Li
Antoni B. Chan
    MQ
ArXiv (abs)PDFHTML

Papers citing "Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks"

5 / 5 papers shown
Information-Ordered Bottlenecks for Adaptive Semantic Compression
Information-Ordered Bottlenecks for Adaptive Semantic Compression
Matthew Ho
Xiao-Fen Zhao
Benjamin Dan Wandelt
269
6
0
18 May 2023
Vertical Layering of Quantized Neural Networks for Heterogeneous
  Inference
Vertical Layering of Quantized Neural Networks for Heterogeneous InferenceIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Hai Wu
Ruifei He
Hao Hao Tan
Xiaojuan Qi
Kaibin Huang
MQ
319
7
0
10 Dec 2022
Collaborative Multi-Teacher Knowledge Distillation for Learning Low
  Bit-width Deep Neural Networks
Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-width Deep Neural NetworksIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Cuong Pham
Tuan Hoang
Thanh-Toan Do
FedMLMQ
235
31
0
27 Oct 2022
Bitwidth-Adaptive Quantization-Aware Neural Network Training: A
  Meta-Learning Approach
Bitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta-Learning ApproachEuropean Conference on Computer Vision (ECCV), 2022
Jiseok Youn
Jaehun Song
Hyung-Sin Kim
S. Bahk
MQ
239
10
0
20 Jul 2022
Tabula: Efficiently Computing Nonlinear Activation Functions for Secure
  Neural Network Inference
Tabula: Efficiently Computing Nonlinear Activation Functions for Secure Neural Network Inference
Maximilian Lam
Michael Mitzenmacher
Vijay Janapa Reddi
Gu-Yeon Wei
David Brooks
249
4
0
05 Mar 2022
1
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