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pro vyhledávání: '"Allenet, Thibault"'
Autor:
Allenet, Thibault
Publikováno v:
Machine Learning [cs.LG]. Université de Rennes, 2023. English. ⟨NNT : 2023URENS003⟩
Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) have been broadly used in many fields such as computer vision, natural language processing and signal processing. Nevertheless, the computational workload and the heavy memory
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::dee6f9b649f22470f6b00eb7d863eacd
https://theses.hal.science/tel-04136202
https://theses.hal.science/tel-04136202
Publikováno v:
CVPR 2022-IEEE / CVF Computer Vision and Pattern Recognition Conference
CVPR 2022-IEEE / CVF Computer Vision and Pattern Recognition Conference, Jun 2022, New Orleans, United States. pp.2788-2792, ⟨10.1109/CVPRW56347.2022.00315⟩
CVPR 2022-IEEE / CVF Computer Vision and Pattern Recognition Conference, Jun 2022, New Orleans, United States. pp.2788-2792, ⟨10.1109/CVPRW56347.2022.00315⟩
International audience; Quantization-Aware Training (QAT) has recently showed a lot of potential for low-bit settings in the context of image classification. Approaches based on QAT are using the Cross Entropy Loss function which is the reference los