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Showing 1 to 3 of 3 for “"Machine Learning Evaluation"”.

  1. Interfaces and Models for Improved Understanding of Real-World Communicative and Affective Nonverbal Vocalizations by Minimally Speaking Individuals

    … then used to compile a novel dataset and train machine learning models. The thesis contributes (1) the design and evaluation of a novel data collection protocol for real-world audio with personalized in-themoment labels, (2) a new dataset, ReCANVo, of over 7,000 nonverbal vocalizations from …

    mit Repository record for Interfaces and Models for Improved Understanding of Real-World Communicative and Affective Nonverbal Vocalizations by Minimally Speaking Individuals (opens in a new tab)

  2. Sensitive Attribute Association Bias in Latent Factor Recommendation Algorithms: Theory and In Practice

    … latent space: bias direction creation, bias evaluation metrics, and multi-group evaluation. Methods within our evaluation framework were inspired by techniques presented by the natural language processing research community for measuring gender bias in learned language representations. …

    oklahoma-thes Repository record for Sensitive Attribute Association Bias in Latent Factor Recommendation Algorithms: Theory and In Practice (opens in a new tab)

  3. Evaluating visually grounded language capabilities using microworlds

    Deep learning has had a transformative impact on computer vision and natural language processing. As a result, recent years have seen the introduction of more ambitious holistic understanding tasks, comprising a broad set of reasoning abilities. Datasets in this context typically act not just as …

    cambridge Repository record for Evaluating visually grounded language capabilities using microworlds (opens in a new tab)