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6 résultats
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Using prototypes to improve convolutional networks interpretabilityNIPS 2017 - 31st Annual Conference on Neural Information Processing Systems: Transparent and interpretable machine learning in safety critical environments Workshop, Dec 2017, Long Beach, United States
Communication dans un congrès
hal-01651964v1
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Neurosmart, une histoire de cerveau et de passionné·e·s de science[Rapport Technique] RT-0509, Inria. 2020, pp.19
Rapport
hal-03013647v1
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Jouez avec les neurones de la machine2017, pp.1-3
Article de blog scientifique
hal-01620451v1
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Recurrent neural network weight estimation through backward tuning[Research Report] RR-9100, Inria Bordeaux Sud-Ouest. 2017, pp.1-54
Rapport
hal-01610735v1
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Bio-inspired analysis of deep learning on not-so-big data using data-prototypesFrontiers in Computational Neuroscience, 2019, 12, ⟨10.3389/fncom.2018.00100⟩
Article dans une revue
hal-01954911v1
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Counterfactual Explanations for Remote Sensing Time Series Data: an Application to Land Cover ClassificationECML PKDD: Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Sep 2023, Torino, Italy. p. 20-36, ⟨10.1007/978-3-031-43430-3_2⟩
Communication dans un congrès
hal-04189631v1
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