main webpage W Topic Artificial Intelligence arXiv (Cornell University) Measuring and Harnessing Transference in Multi-Task Learning 2020 Multi-task learning can leverage information learned by one task to benefit the training of other tasks. Despite this capacity, naive formulations often degrade performance and in particular, identifying the tasks that would benefit from co-training remains a… Article Open Artificial Intelligence Open Article Page

Artificial Intelligence

Intelligence of machines Artificial intelligence ( AI ) is the capability of computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. High-profile applications of AI include advanced web search engines (e.g., Google Search); recommendation systems (used by YouTube, Amazon, and Netflix); virtual assistants (e.g., Google Assistant, Siri, and Alexa); autonomous vehicles (e.g., Waymo); generative and creative tools (e.g. Critical Symbolic Virtual Narrative Open Artificial Intelligence Open Article Page

Exploring foci of: arXiv (Cornell University) Measuring and Harnessing Transference in Multi-Task Learning 2020 Multi-task learning can leverage information learned by one task to benefit the training of other tasks. Despite this capacity, naive formulations often degrade performance and in particular, identifying the tasks that would benefit from co-training remains a challenging design question. In this paper, we analyze the dynamics of information transfer, or transference, across tasks throughout training. Specifically, we develop a similarity measure that can quantify transference among tasks and use this quantity to b… Open Article Page

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Explore Artificial Intelligence W Topic Artificial Intelligence arXiv (Cornell University) Measuring and Harnessing Transference in Multi-Task Learning 2020 Multi-task learning can leverage information learned by one task to benefit the training of other tasks. Despite this capacity, naive formulations often degrade performance and in particular, identifying the tasks that would benefit from co-training remains a… Article Critical Symbolic Virtual Narrative Open Artificial Intelligence Open Article Page