Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Kamil Deja"'
Autor:
Miłosz Kasak, Kamil Deja, Maja Karwowska, Monika Jakubowska, Łukasz Graczykowski, Małgorzata Janik
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 84, Iss 7, Pp 1-11 (2024)
Abstract In this work, we introduce a novel method for Particle Identification (PID) within the scope of the ALICE experiment at the Large Hadron Collider at CERN. Identifying products of ultrarelativisitc collisions delivered by the LHC is one of th
Externí odkaz:
https://doaj.org/article/11de3df8c5714cfb9bbca2d7d8fe5af8
Publikováno v:
IEEE Access, Vol 12, Pp 45309-45317 (2024)
In this work, we improve the generative replay in a continual learning setting to perform well on challenging scenarios. Because of the growing complexity of continual learning tasks, it is becoming more popular, to apply the generative replay techni
Externí odkaz:
https://doaj.org/article/61daa4fe4f7e4d849ef9c7961da36e3d
Autor:
Miłosz Kasak, Kamil Deja, Maja Karwowska, Monika Jakubowska, Łukasz Graczykowski, Małgorzata Janik
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 84, Iss 10, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/96b4a81ef6c3494da2f2d9b5ca65b996
Publikováno v:
IEEE Access, Vol 10, Pp 117001-117010 (2022)
We introduce a neural network architecture that logarithmically reduces the number of self-rehearsal steps in the generative rehearsal of continually learned models. In continual learning (CL), training samples come in subsequent tasks, and the train
Externí odkaz:
https://doaj.org/article/367d7f39077b4fe5b32a46200798c0e0
Publikováno v:
IEEE Access, Vol 9, Pp 7211-7219 (2021)
In this work, we propose a novel end-to-end Sinkhorn Autoencoder with a noise generator for efficient data collection simulation. Simulating processes that aim at collecting experimental data is crucial for multiple real-life applications, including
Externí odkaz:
https://doaj.org/article/fd72a947efc1492cbf366bd6d4b21c8d
We introduce a new automatic evaluation method for speaker similarity assessment, that is consistent with human perceptual scores. Modern neural text-to-speech models require a vast amount of clean training data, which is why many solutions switch fr
Externí odkaz:
http://arxiv.org/abs/2207.00344
Publikováno v:
Neural Information Processing ISBN: 9783031301049
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8924f1f627c7d848c3eb19c776b380b
https://doi.org/10.1007/978-3-031-30105-6_22
https://doi.org/10.1007/978-3-031-30105-6_22
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030923099
Catastrophic forgetting of previously learned knowledge while learning new tasks is a widely observed limitation of contemporary neural networks. Although many continual learning methods are proposed to mitigate this drawback, the main question remai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18909230f4050c4ddfedc246281c7e50
http://arxiv.org/abs/2109.01844
http://arxiv.org/abs/2109.01844