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Found 5 papers, 1 papers with code
On Difficulties of Attention Factorization through Shared Memory
Transformers have revolutionized deep learning in numerous fields, including natural language processing, computer vision, and audio processing.
Video Scene Location Recognition with Neural Networks
This paper provides an insight into the possibility of scene recognition from a video sequence with a small set of repeated shooting locations (such as in television series) using artificial neural networks.
Using Artificial Neural Networks to Determine Ontologies Most Relevant to Scientific Texts
This paper provides an insight into the possibility of how to find ontologies most relevant to scientific texts using artificial neural networks.
Landscape Analysis for Surrogate Models in the Evolutionary Black-Box Context
Surrogate modeling has become a valuable technique for black-box optimization tasks with expensive evaluation of the objective function.
Two Gaussian Approaches to Black-Box Optomization
Outline of several strategies for using Gaussian processes as surrogate models for the covariance matrix adaptation evolution strategy (CMA-ES).
