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  • title: How recurrent networks implement contextual processing in sentiment analysis
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            How recurrent networks implement contextual processing in sentiment analysis
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            How recurrent networks implement contextual processing in sentiment analysis

            Jul 12, 2020

            Speakers

            NM

            Niru Maheswaranathan

            Speaker · 0 followers

            DS

            David Sussillo

            Speaker · 1 follower

            About

            Neural networks have a remarkable capacity for contextual processing–using recent or nearby inputs to modify processing of current input. For example, in natural language, contextual processing is necessary to correctly interpret negations (phrases such as "not bad"). However, our ability to understand how networks process context is missing. Here, we propose general methods for reverse engineering recurrent neural networks (RNNs) to identify and elucidate contextual processing. We apply these m…

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            ICML 2020

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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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