Meta-learning without memorization
The ability to learn new concepts with small amounts of data is a critical aspect of
intelligence that has proven challenging for deep learning methods. Meta-learning has …
intelligence that has proven challenging for deep learning methods. Meta-learning has …
Attentive weights generation for few shot learning via information maximization
Few shot image classification aims at learning a classifier from limited labeled data.
Generating the classification weights has been applied in many meta-learning methods for …
Generating the classification weights has been applied in many meta-learning methods for …
Neural network based image classifier resilient to destructive perturbation influences–architecture and training method
Modern methods of image recognition are sensitive to various types of disturbances, which
actualize the development of resilient intelligent algorithms for safety-critical applications …
actualize the development of resilient intelligent algorithms for safety-critical applications …
Моделі та методи інтелектуальної інформаційної технології оцінювання функціонального стану труб водовідведення
МО Зарецький - 2023 - essuir.sumdu.edu.ua
Дисертація присвячена розв'язанню актуальної науково-прикладної задачі
автоматизації процесу оцінювання функціонального стану трубопроводу …
автоматизації процесу оцінювання функціонального стану трубопроводу …
[BOEK][B] Variational Methods with Dependence Structure
M Yin - 2020 - search.proquest.com
It is a common practice among humans to deduce, to explain and to make predictions based
on concepts that are not directly observable. In Bayesian statistics, the underlying …
on concepts that are not directly observable. In Bayesian statistics, the underlying …