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Gradient-Based Post-Training Quantization: Challenging the Status Quo

Gradient-Based Post-Training Quantization: Challenging the Status Quo

15 August 2023
Edouard Yvinec
Arnaud Dapogny
Kévin Bailly
    MQ
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Papers citing "Gradient-Based Post-Training Quantization: Challenging the Status Quo"

4 / 4 papers shown
Title
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance
Edouard Yvinec
Arnaud Dapogny
Matthieu Cord
Kévin Bailly
40
9
0
08 Jul 2022
Dataset Pruning: Reducing Training Data by Examining Generalization
  Influence
Dataset Pruning: Reducing Training Data by Examining Generalization Influence
Shuo Yang
Zeke Xie
Hanyu Peng
Minjing Xu
Mingming Sun
P. Li
DD
152
106
0
19 May 2022
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian
  Approximation
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation
Cong Guo
Yuxian Qiu
Jingwen Leng
Xiaotian Gao
Chen Zhang
Yunxin Liu
Fan Yang
Yuhao Zhu
Minyi Guo
MQ
72
70
0
14 Feb 2022
Out of Distribution Detection on ImageNet-O
Out of Distribution Detection on ImageNet-O
Anugya Srivastava
S. Jain
Mugdha Thigle
OOD
57
5
0
23 Jan 2022
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