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  • title: Task Understanding from Confusing Mulit-task Data
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            Task Understanding from Confusing Mulit-task Data
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            Task Understanding from Confusing Mulit-task Data

            Jul 12, 2020

            Speakers

            XS

            Xin Su

            Speaker · 0 followers

            YJ

            Yizhou Jiang

            Speaker · 0 followers

            SG

            Shangqi Guo

            Speaker · 0 followers

            About

            Beyond machine learning's success in the specific tasks, research for learning multiple tasks simultaneously is referred to as multi-task learning. However, existing multi-task learning needs manual definition of tasks and manual task annotation. A crucial problem for advanced intelligence is how to understand the human task concept using basic input-output pairs. Without task definition, samples from multiple tasks are mixed together and result in a confusing mapping challenge. We propose Confu…

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            ICML 2020

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            AI & Data Science

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            About ICML 2020

            The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning. ICML is globally renowned for presenting and publishing cutting-edge research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, and robotics. ICML is one of the fastest growing artificial intelligence conferences in the world. Participants at ICML span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs.

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