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pro vyhledávání: '"Azizov, Dilshod"'
Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation
Recently, because of the high-quality representations of contrastive learning methods, rehearsal-based contrastive continual learning has been proposed to explore how to continually learn transferable representation embeddings to avoid the catastroph
Externí odkaz:
http://arxiv.org/abs/2403.04599
Optimizing machine learning algorithms that are used to solve the objective function has been of great interest. Several approaches to optimize common algorithms, such as gradient descent and stochastic gradient descent, were explored. One of these a
Externí odkaz:
http://arxiv.org/abs/2209.14558
Publikováno v:
ACADEMICIA: AN INTERNATIONAL MULTIDISCIPLINARY RESEARCH JOURNAL. 11:12-16
We performed experimental studies on 50 rabbits, where morphologically using the electron microscopy, we studied the changes in the tissues and lymphatic bed with a gunshot injury. The experimental results showed that the lymphatic system undergoes a