Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Chaulwar, Amit"'
Autor:
Chaulwar, Amit, Malik, Lukas, Krajewski, Maciej, Reichel, Felix, Lundbæk, Leif-Nissen, Huth, Michael, Matejczyk, Bartlomiej
Modern search systems use several large ranker models with transformer architectures. These models require large computational resources and are not suitable for usage on devices with limited computational resources. Knowledge distillation is a popul
Externí odkaz:
http://arxiv.org/abs/2207.12852
Autor:
Chaulwar, Amit, Huth, Michael
Federated analytics has many applications in edge computing, its use can lead to better decision making for service provision, product development, and user experience. We propose a Bayesian approach to trend detection in which the probability of a k
Externí odkaz:
http://arxiv.org/abs/2107.13640
Autor:
Chaulwar, Amit
With increasing usage of deep learning algorithms in many application, new research questions related to privacy and adversarial attacks are emerging. However, the deep learning algorithm improvement needs more and more data to be shared within resea
Externí odkaz:
http://arxiv.org/abs/2004.13598
Autor:
Chaulwar, Amit Tulsidas
Machine learning algorithms are usually not used in safety critical applications, because they are not interpretable. This work proposes hybrid methods, i.e. combinations of machine learning and model-based algorithms in order to realise the trajecto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______518::55efd41085f6afb44109b5589b709ae3
https://mediatum.ub.tum.de/doc/1574742/document.pdf
https://mediatum.ub.tum.de/doc/1574742/document.pdf