Continual learning in the presence of repetition.

Autor: Hemati H; Institute for Computer Science, University of St. Gallen, Rosenbergstrasse 30, St. Gallen, 9000, Switzerland. Electronic address: hemati.hmd@gmail.com., Pellegrini L; Department of Computer Science, University of Bologna, Via dell'Università 50, Cesena, 47521, Italy., Duan X; The University of Chicago, 5801 S Ellis Ave, Chicago, 60637, United States; Argonne National Laboratory, 9700 S Cass Ave, Lemont, 60439, United States., Zhao Z; The University of Chicago, 5801 S Ellis Ave, Chicago, 60637, United States; Argonne National Laboratory, 9700 S Cass Ave, Lemont, 60439, United States., Xia F; The University of Chicago, 5801 S Ellis Ave, Chicago, 60637, United States; Argonne National Laboratory, 9700 S Cass Ave, Lemont, 60439, United States., Masana M; Graz University of Technology, Rechbauerstraße 12, Graz, 8010, Austria; TU Graz - SAL Dependable Embedded Systems Lab, Silicon Austria Labs, Graz, 8010, Austria., Tscheschner B; Graz University of Technology, Rechbauerstraße 12, Graz, 8010, Austria; Know-Center GmbH, Sandgasse 36/4, Graz, 8010, Austria., Veas E; Graz University of Technology, Rechbauerstraße 12, Graz, 8010, Austria; Know-Center GmbH, Sandgasse 36/4, Graz, 8010, Austria., Zheng Y; MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China., Zhao S; MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China., Li SY; MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China., Huang SJ; MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China., Lomonaco V; Department of Computer Science, University of Pisa, Piano Secondo, Largo Bruno Pontecorvo 3, Pisa, 56127, Italy., van de Ven GM; Department of Electrical Engineering, KU Leuven, Kasteelpark Arenberg 10, Leuven, 3001, Belgium. Electronic address: gido.vandeven@kuleuven.be.

Publikováno v: Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2024 Nov 20; Vol. 183, pp. 106920. Date of Electronic Publication: 2024 Nov 20.

Deep continual learning for medical call incidents text classification under the presence of dataset shifts.

Autor: Ferri P; Biomedical Data Science Laboratory (BDSLab), Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València (UPV), Valencia, Spain. Electronic address: pabferb2@upv.es., Lomonaco V; Department of Computer Science, University of Pisa (Unipi), Pisa, Italy. Electronic address: vincenzo.lomonaco@unipi.it., Passaro LC; Department of Computer Science, University of Pisa (Unipi), Pisa, Italy. Electronic address: lucia.passaro@unipi.it., Félix-De Castro A; Conselleria de Sanitat Universal i Salut Pública, Generalitat Valenciana (GVA), Valencia, Spain. Electronic address: felix_antdec@gva.es., Sánchez-Cuesta P; Conselleria de Sanitat Universal i Salut Pública, Generalitat Valenciana (GVA), Valencia, Spain. Electronic address: sanchez_pur@gva.es., Sáez C; Biomedical Data Science Laboratory (BDSLab), Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València (UPV), Valencia, Spain. Electronic address: carsaesi@upv.es., García-Gómez JM; Biomedical Data Science Laboratory (BDSLab), Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València (UPV), Valencia, Spain. Electronic address: juanmig@ibime.upv.es.

Publikováno v: Computers in biology and medicine [Comput Biol Med] 2024 Jun; Vol. 175, pp. 108548. Date of Electronic Publication: 2024 May 01.

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IROS 2019 Lifelong Robotic Vision: Object Recognition Challenge

Autor: Bae H., Brophy E., Chan R. H. M., Chen B., Feng F., Graffieti G., Goel V., Hao X., Han H., Kanagarajah S., Kumar S., Lam S. -K., Lam T. L., Lan C., Liu Q., Lomonaco V., Ma L., Maltoni D., Parisi G. I., Pellegrini L., Piyasena D., Pu S., She Q., Sheet D., Song S., Son Y., Wang Z., Ward T. E., Wu J., Wu M., Xie D., Xu Y., Yang L., Yang Q., Zhong Q., Zhou L.

Humans have a remarkable ability to learn continuously from th e environment and inner experience. One of the grand goals of robots is to build an artificial "lifelong learning" agent that can shape a cultivated understanding of the world from the cu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______4094::e2514c643278d870b6f557adfa5cfe66
http://hdl.handle.net/11585/769508

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