Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Finke, Axel"'
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
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
Autor:
Corenflos, Adrien, Finke, Axel
State-of-the-art methods for Bayesian inference in state-space models are (a) conditional sequential Monte Carlo (CSMC) algorithms; (b) sophisticated 'classical' MCMC algorithms like MALA, or mGRAD from Titsias and Papaspiliopoulos (2018, arXiv:1610.
Externí odkaz:
http://arxiv.org/abs/2401.14868
Continual learning refers to the capability of a machine learning model to learn and adapt to new information, without compromising its performance on previously learned tasks. Although several studies have investigated continual learning methods for
Externí odkaz:
http://arxiv.org/abs/2308.08378
Creating an intelligent search and retrieval system for artwork images, particularly paintings, is crucial for documenting cultural heritage, fostering wider public engagement, and advancing artistic analysis and interpretation. Visual-Semantic Embed
Externí odkaz:
http://arxiv.org/abs/2307.14244
As the use of artificial intelligent (AI) models becomes more prevalent in industries such as engineering and manufacturing, it is essential that these models provide transparent reasoning behind their predictions. This paper proposes the AI-Reasoner
Externí odkaz:
http://arxiv.org/abs/2307.11643
Local authorities in England, such as Leicestershire County Council (LCC), provide Early Help services that can be offered at any point in a young person's life when they experience difficulties that cannot be supported by universal services alone, s
Externí odkaz:
http://arxiv.org/abs/2307.06871
The relations expressed in user queries are vital for cross-modal information retrieval. Relation-focused cross-modal retrieval aims to retrieve information that corresponds to these relations, enabling effective retrieval across different modalities
Externí odkaz:
http://arxiv.org/abs/2302.06350
Autor:
Hirt, Marcel, Finke, Axel, Beskos, Alexandros, Dellaportas, Petros, Beck, Stephan, Moghul, Ismail, Ecker, Simone
DNA methylation is an important epigenetic mark that has been studied extensively for its regulatory role in biological processes and diseases. WGBS allows for genome-wide measurements of DNA methylation up to single-base resolutions, yet poses chall
Externí odkaz:
http://arxiv.org/abs/2211.07311
Publikováno v:
In Information Sciences January 2025 687
