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Conference

Enrichissement de fonctions de perte avec contraintes de domaine et co-domaine pour la prédiction de liens dans les graphes de connaissance

Subjects: Knowledge graph; link prediction; Embedding modelsLa Rochelle; France

  • Source: Actes de la 27e Conférence Nationale en Intelligence Artificielle ; 27e Conférence Nationale en Intelligence Artificielle ; https://inria.hal.science/hal-04566996 ; 27e Conférence Nationale en

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Conference

Parametric-Task MAP-Elites

Subjects: MAP-Elites; Multi-Task Learning; Quality-DiversityMelbourne; Australia

  • Source: GECCO 2024 ; https://hal.science/hal-04532964 ; GECCO 2024, Jul 2024, Melbourne, Australia. ⟨10.1145/3638529.3653993⟩

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Conference

A weighted-variance variational autoencoder model for speech enhancement

Subjects: Speech enhancement; generative model; variational autoencoderSeoul (Korea); South Korea

  • Source: International Conference on Acoustics Speech and Signal Processing (ICASSP) ; https://inria.hal.science/hal-03833827 ; International Conference on Acoustics Speech and Signal Processing (ICASSP),

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Conference

Do Similar Entities have Similar Embeddings?

Subjects: Knowledge Graph; Embedding; Representation LearningHERSONISSOS (CRETE); Greece

  • Source: Lecture Notes in Computer Science ; ESWC 2024 - 21st International Conference on Semantic Web ; https://hal.science/hal-04520741 ; ESWC 2024 - 21st International Conference on Semantic Web, May 2024,

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Academic Journal

Training RNN Language Models on Uncertain ASR Hypotheses in Limited Data Scenarios

Subjects: automatic speech recognition; language models; recurrent neural networks

  • Source: ISSN: 0885-2308.

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Report

Objective and subjective evaluation of speech enhancement methods in the UDASE task of the 7th CHiME challenge

Subjects: CHiME challenge; Multi-speaker conversational speech; Speech enhancement

  • Source: https://hal.science/hal-04430786 ; 2024.

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Conference

A hybrid simulation/real data based learning approach for building thermal comfort modeling

Subjects: Machine Learning; Thermal comfort; SimulationShanghai; China

  • Source: Building Simulation ; https://hal.science/hal-04159132 ; Building Simulation, Sep 2023, Shanghai, China

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Conference

How to (Virtually) Train Your Speaker Localizer

Subjects: localization; direction-of-arrival; image sourceDublin; Ireland

  • Source: INTERSPEECH 2023 ; https://hal.science/hal-03855912 ; INTERSPEECH 2023, Aug 2023, Dublin, Ireland

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Conference

Relevant Entity Selection: Knowledge Graph Bootstrapping via Zero-Shot Analogical Pruning

Subjects: Knowledge graph; Knowledge graph construction; Analogical inferenceBirmingham (UK); United Kingdom

  • Source: CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management ; https://inria.hal.science/hal-04254979 ; CIKM '23: The 32nd ACM International Conference on Information and

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Conference

Multi-task Optimization to Evaluate Workstation Suitability over a Population of Virtual Humans

Subjects: multi-task optimization; physics-based simulation; ErgonomicsBordeaux; France

  • Source: JNRH 2023 - Journées Nationales de la Robotique Humanoïde ; https://hal.science/hal-04212850 ; JNRH 2023 - Journées Nationales de la Robotique Humanoïde, Jul 2023, Bordeaux, France

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  • 1-10 of  408 results for ""Machine Learning (cs.LG)""