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pro vyhledávání: '"Arif, Mofassir ul Islam"'
The strength of machine learning models stems from their ability to learn complex function approximations from data; however, this strength also makes training deep neural networks challenging. Notably, the complex models tend to memorize the trainin
Externí odkaz:
http://arxiv.org/abs/2304.07262
Object detection has seen remarkable progress in recent years with the introduction of Convolutional Neural Networks (CNN). Object detection is a multi-task learning problem where both the position of the objects in the images as well as their classe
Externí odkaz:
http://arxiv.org/abs/2304.07256
Autor:
Jawed, Shayan, Arif, Mofassir ul Islam, Rashed, Ahmed, Madhusudhanan, Kiran, Elsayed, Shereen, Jameel, Mohsan, Volk, Alexei, Hintsches, Andre, Kornfeld, Marlies, Lange, Katrin, Schmidt-Thieme, Lars
Machine learning is being widely adapted in industrial applications owing to the capabilities of commercially available hardware and rapidly advancing research. Volkswagen Financial Services (VWFS), as a market leader in vehicle leasing services, aim
Externí odkaz:
http://arxiv.org/abs/2202.04411
Autor:
Kim, Yongho, Lukashonak, Hanna, Tarepakdee, Paweena, Zavalich, Klavdia, Arif, Mofassir ul Islam
Diverse regularization techniques have been developed such as L2 regularization, Dropout, DisturbLabel (DL) to prevent overfitting. DL, a newcomer on the scene, regularizes the loss layer by flipping a small share of the target labels at random and t
Externí odkaz:
http://arxiv.org/abs/2110.05003