Titlebook: Reproducible Research in Pattern Recognition; Third International Bertrand Kerautret,Miguel Colom,Hugues Talbot Conference proceedings 202

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書目名稱Reproducible Research in Pattern Recognition讀者反饋




書目名稱Reproducible Research in Pattern Recognition讀者反饋學(xué)科排名

hedonic

semiskilled

: A Modular, Configuration-Driven Framework for Knowledge Distillationts by declarative PyYAML configuration files, and helps researchers complete the recently proposed ML Code Completeness Checklist. Using the developed framework, we demonstrate its various efficient training strategies, and implement a variety of knowledge distillation methods. We also reproduce som

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定點(diǎn)

Creating Emotion Recognition Algorithms Based on a Convolutional Neural Network for Sentiment Analyswork with big data and often require a lot of processing power. Therefore, to simplify computations, it makes sense to use ?lazy? NNs. A ?lazy? neural network is a network, which, if it receives input data that repeats the patterns that were previously processed by it, returns a result that was obta

審問

Reproducing the Sparse Huffman Address Map Compression for Deep Neural Networkshe source code, two pre-trained CNN models (retrieved from third-party repositories referring to well-established literature), and four datasets. This implementation includes detailed instructions to execute the scripts and reproduce the obtained results, in terms of the figures and tables included

整頓

Burak Yildiz,Hayley Hung,Jesse H. Krijthe,Cynthia C. S. Liem,Marco Loog,Gosia Migut,Frans A. Oliehoe

tattle

Devashish Lohani,Carlos Crispim-Junior,Quentin Barthélemy,Sarah Bertrand,Lionel Robinault,Laure Toug

PALMY

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