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knowledge and logical reasoning in the era of data driven learning workshop at icml 2023 skip to the content knowledge and logical reasoning in the era of data driven learning workshop at icml 2023 home call for papers accepted papers schedule speakers organizers program committee overview date july 28 2023 location the workshop will be held in a hybrid mode welcoming both in person and virtual attendance the workshop will take place in room 301 at the hawaii convention center and be livestream on the icml virtual site icml registration required thinking fast and automatic vs slow and deliberate respectively system i and ii is a popular analogy when comparing data driven learning to the good old fashion symbolic reasoning approaches underlying this analogy lies the different capabilities of both systems or lack thereof while data driven learning system i has striking performance advantages over symbolic reasoning system ii it lacks abilities such as abstraction comprehensibility and contextual awareness symbolic reasoning on the other hand tackles those issues but tends to lag behind data driven learning when it comes to speedy efficient and automated decision making in the current state of matters to combat issues on both sides there is an increasing consensus among the machine learning and artificial intelligence communities to draw out the best of both worlds and unify data driven approaches with rule based symbolic logical and commonsense reasoning this workshop aims to discuss emerging advances and challenges on this topic in particular at the intersection of data driven paradigms and knowledge and logical reasoning we focus on both directions of this intersection knowledge and logical reasoning for data driven learning in this direction we will investigate the role of rule based knowledge and logical reasoning to enable more deliberate and trustworthy data driven learning data driven learning for knowledge and logical reasoning in this reverse direction we will explore the capabilities of data driven approaches to derive knowledge logical and commonsense reasoning from data with this workshop we aim to bring together researchers and practitioners in the emerging and interdisciplinary field of data driven learning reasoning and trustworthy machine learning from a broad range of disciplines with different perspectives stay tuned for more details on the schedule we thank to google research and tu delft for their generous in kind donation please contact nezihe merve gürel or bo li if you have any questions the webpage template is by the courtesy of neurips 2020 workshop on topological data analysis and beyond