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Documenting Geographically and Contextually Diverse Data Sources: The BigScience Catalogue of Language Data and Resources
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In: https://hal.inria.fr/hal-03550289 ; 2022 (2022)
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An Overview of Indian Spoken Language Recognition from Machine Learning Perspective
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In: ISSN: 2375-4699 ; EISSN: 2375-4702 ; ACM Transactions on Asian and Low-Resource Language Information Processing ; https://hal.inria.fr/hal-03616853 ; ACM Transactions on Asian and Low-Resource Language Information Processing, ACM, In press, ⟨10.1145/3523179⟩ (2022)
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A gentle introduction to Girard's Transcendental Syntax for the linear logician
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In: https://hal.archives-ouvertes.fr/hal-02977750 ; 2022 (2022)
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Similarity between person roles in a card sorting experiment ...
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FAIRsharing record for: General Ontology for Linguistic Description ... : GOLD ...
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How ISO C became unusable for operating systems development ...
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A new genus of land planarian (Platyhelminthes, Geoplanidae) for a new ‘blind’ species ...
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A new genus of land planarian (Platyhelminthes, Geoplanidae) for a new ‘blind’ species ...
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The road to successful people-centric research in rare diseases: the web-based case study of the Immunology and Congenital Disorders of Glycosylation questionnaire (ImmunoCDGQ) ...
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The road to successful people-centric research in rare diseases: the web-based case study of the Immunology and Congenital Disorders of Glycosylation questionnaire (ImmunoCDGQ) ...
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The Enforcers: Consistent Sparse-Discrete Methods for Constraining Informative Emergent Communication ...
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Abstract:
Communication enables agents to cooperate to achieve their goals. Learning when to communicate, i.e. sparse communication, is particularly important where bandwidth is limited, in situations where agents interact with humans, in partially observable scenarios where agents must convey information unavailable to others, and in non-cooperative scenarios where agents may hide information to gain a competitive advantage. Recent work in learning sparse communication, however, suffers from high variance training where, the price of decreasing communication is a decrease in reward, particularly in cooperative tasks. Sparse communications are necessary to match agent communication to limited human bandwidth. Humans additionally communicate via discrete linguistic tokens, previously shown to decrease task performance when compared to continuous communication vectors. This research addresses the above issues by limiting the loss in reward of decreasing communication and eliminating the penalty for discretization. In ... : Submitted to IJCAI 2022 ...
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Keyword:
FOS Computer and information sciences; Machine Learning cs.LG; Multiagent Systems cs.MA; Robotics cs.RO
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URL: https://dx.doi.org/10.48550/arxiv.2201.07452 https://arxiv.org/abs/2201.07452
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Animal linguistics in the making: the Urgency Principle and titi monkeys’ alarm system ...
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Animal linguistics in the making: the Urgency Principle and titi monkeys’ alarm system ...
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The use of predictive fall models for older adults receiving aged care, using routinely collected electronic health record data: a systematic review ...
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The use of predictive fall models for older adults receiving aged care, using routinely collected electronic health record data: a systematic review ...
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gTLO: A Generalized and Non-linear Multi-Objective Deep Reinforcement Learning Approach ...
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A Literature Survey of Recent Advances in Chatbots
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In: Information; Volume 13; Issue 1; Pages: 41 (2022)
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Community Development of the SWEET Semantic System for Earth and Environmental Data - A Call for Interest ...
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Community Development of the SWEET Semantic System for Earth and Environmental Data - A Call for Interest ...
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On the role of population heterogeneity in emergent communication ...
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