Zobrazeno 1 - 10
of 9 574
pro vyhledávání: '"A Cosma"'
Machine unlearning in neural information retrieval (IR) systems requires removing specific data whilst maintaining model performance. Applying existing machine unlearning methods to IR may compromise retrieval effectiveness or inadvertently expose un
Externí odkaz:
http://arxiv.org/abs/2411.08562
Autor:
Abakasanga, Emeka, Kousovista, Rania, Cosma, Georgina, Akbari, Ashley, Zaccardi, Francesco, Kaur, Navjot, Fitt, Danielle, Jun, Gyuchan Thomas, Kiani, Reza, Gangadharan, Satheesh
People with learning disabilities have a higher mortality rate and premature deaths compared to the general public, as reported in published research in the UK and other countries. This study analyses hospitalisations of 9,618 patients identified wit
Externí odkaz:
http://arxiv.org/abs/2411.08048
Autor:
Kousovista, Rania, Cosma, Georgina, Abakasanga, Emeka, Akbari, Ashley, Zaccardi, Francesco, Jun, Gyuchan Thomas, Kiani, Reza, Gangadharan, Satheesh
Identifying and understanding the co-occurrence of multiple long-term conditions (MLTC) in individuals with intellectual disabilities (ID) is vital for effective healthcare management. These individuals often face earlier onset and higher prevalence
Externí odkaz:
http://arxiv.org/abs/2411.08894
Autor:
Özer, Burak, Ochkan, Kyrylo, Chaturvedi, Raghav, Maltsev, Evgenii, Könye, Viktor, Giraud, Romain, Veyrat, Arthur, Hankiewicz, Ewelina M., Watanabe, Kenji, Taniguchi, Takashi, Büchner, Bernd, Brink, Jeroen van den, Fulga, Ion Cosma, Dufouleur, Joseph, Veyrat, Louis
Quantum Hall phases have recently emerged as a platform to investigate non-Hermitian topology in condensed-matter systems. This platform is particularly interesting due to its tunability, which allows to modify the properties and topology of the inve
Externí odkaz:
http://arxiv.org/abs/2410.14329
Weyl semimetals host topologically protected surface states, the so-called Fermi arcs, that have a penetration depth into the bulk that depends on surface-momentum, and diverges at the Weyl points. It has recently been observed in PtBi2 that such Fer
Externí odkaz:
http://arxiv.org/abs/2410.05381
Natural Language Inference (NLI) evaluation is crucial for assessing language understanding models; however, popular datasets suffer from systematic spurious correlations that artificially inflate actual model performance. To address this, we propose
Externí odkaz:
http://arxiv.org/abs/2410.03429
Mathematics has long been conveyed through natural language, primarily for human understanding. With the rise of mechanized mathematics and proof assistants, there is a growing need to understand informal mathematical text, yet most existing benchmar
Externí odkaz:
http://arxiv.org/abs/2409.11074
We tackle the problem of machine unlearning within neural information retrieval, termed Neural Machine UnRanking (NuMuR) for short. Many of the mainstream task- or model-agnostic approaches for machine unlearning were designed for classification task
Externí odkaz:
http://arxiv.org/abs/2408.05330
In the field of Image-Text Retrieval (ITR), recent advancements have leveraged large-scale Vision-Language Pretraining (VLP) for Fine-Grained (FG) instance-level retrieval, achieving high accuracy at the cost of increased computational complexity. Fo
Externí odkaz:
http://arxiv.org/abs/2407.20114
This study applies Natural Language Processing techniques, including Latent Dirichlet Allocation, to analyse anonymised maternity incident investigation reports from the Healthcare Safety Investigation Branch. The reports underwent preprocessing, ann
Externí odkaz:
http://arxiv.org/abs/2407.08328