P1 Guest Talk: An Incredibly Short Introduction to Modular Deep Learning

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In this talk, I will aim to demonstrate that modularity enables widening the reach of modern deep learning, also boosting efficiency, reusability and (re)composability of models’ constituent components: modules. He is a member of the Steering Committee of the newly established Centre for Human Inspired Artificial Intelligence (CHIA) at Cambridge. Ivan holds a PhD in Computer Science from KU Leuven awarded summa cum laude. He serves as an area chair and regularly reviews for all major NLP and Machine Learning conferences and journals. Ivan has given numerous invited talks at academia and industry, and co-organised a number of NLP conferences and workshops.

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