Framing lifelong learning as autonomous deployment: tune once live forever

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• dc.contributor.author Agirre, Eneko
• dc.contributor.author Jonsson, Anders, 1973-
• dc.contributor.author Larcher, Anthony
• dc.date.accessioned 2023-02-07T13:23:48Z
• dc.date.available 2023-02-07T13:23:48Z
• dc.date.issued 2021
• dc.description Comunicació presentada a: IWSDS 2019 celebrat del 24 a 26 d'abril de 2019 a Siracusa, Itàlia.
• dc.description.abstract Lifelong Learning in the context of Artificial Intelligence is a new paradigm that is still in its infancy. It refers to agents that are able to learn continuously, accumulating the knowledge learned in previous tasks and using it to help future learning. In this position paper we depart from the focus on learning new tasks and instead take a stance from the perspective of the life-cycle of intelligent software. We propose to focus lifelong learning research on autonomous intelligent systems that sustain their performance after deployment in production across time without the need of machine learning experts. This perspective is being applied to three European projects funded under the CHIST-ERA framework on several domains of application.
• dc.description.sponsorship This work has been partially funded by the ALLIES, DELTA and LIHLITH projects supported by the EU ERA-Net CHIST-ERA and the Spanish Research Agency (LIHLITH, PCIN-2017-118; DELTA, PCIN-2017-082).
• dc.format.mimetype application/pdf
• dc.identifier.citation Agirre E, Jonsson A, Larcher A. Framing lifelong learning as autonomous deployment: tune once live forever. In: Marchi E, Siniscalchi SM, Cumani S, Salerno VM, Li, H, editors. Increasing naturalness and flexibility in spoken dialogue interaction: 10th International Workshop on Spoken Dialogue Systems (IWSDS 2019); 2019 Abr 24-26; Syracuse, Italy. [Singapore]: Springer Singapore; 2021. p. 331-6. DOI: 10.1007/978-981-15-9323-9_29
• dc.identifier.doi http://dx.doi.org/10.1007/978-981-15-9323-9_29
• dc.identifier.isbn 978-981-15-9323-9
• dc.identifier.issn 1876-1100
• dc.identifier.uri http://hdl.handle.net/10230/55668
• dc.language.iso eng
• dc.publisher Springer
• dc.relation.ispartof Marchi E, Siniscalchi SM, Cumani S, Salerno VM, Li, H, editors. Increasing naturalness and flexibility in spoken dialogue interaction: 10th International Workshop on Spoken Dialogue Systems (IWSDS 2019); 2019 Abr 24-26; Syracuse, Italy. [Singapore]: Springer Singapore; 2021. p. 331-6.
• dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PCIN-2017-118
• dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PCIN-2017-082
• dc.rights © Springer This is a author's accepted manuscript of: Agirre E, Jonsson A, Larcher A. Framing lifelong learning as autonomous deployment: tune once live forever. In: Marchi E, Siniscalchi SM, Cumani S, Salerno VM, Li, H, editors. Increasing naturalness and flexibility in spoken dialogue interaction: 10th International Workshop on Spoken Dialogue Systems (IWSDS 2019); 2019 Abr 24-26; Syracuse, Italy. [Singapore]: Springer Singapore; 2021. p. 331-6. The final version is available online at: http://dx.doi.org/10.1007/978-981-15-9323-9_29
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.other Context (Lingüística)
• dc.subject.other Diàleg
• dc.subject.other Interacció persona-robot
• dc.title Framing lifelong learning as autonomous deployment: tune once live forever
• dc.type info:eu-repo/semantics/conferenceObject
• dc.type.version info:eu-repo/semantics/acceptedVersion