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DTSTART;VALUE=DATE:20240721
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SUMMARY:ICML 2024
DESCRIPTION:41st International Conference on Machine Learning (ICML) 2024\nThe 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. \nICML 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. \nICML 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.
URL:https://www.neuropac.info/event/icml-2024/
LOCATION:Vienna\, Vienna\, Austria
CATEGORIES:Conference
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DTSTART;VALUE=DATE:20240507
DTEND;VALUE=DATE:20240512
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SUMMARY:ICLR 2024
DESCRIPTION:12th International Conference on Learning Representations (ICLR) 2024\n\n\n\n\nThe International Conference on Learning Representations (ICLR) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence called representation learning\, but generally referred to as deep learning. \nICLR is globally renowned for presenting and publishing cutting-edge research on all aspects of deep learning used in the fields of artificial intelligence\, statistics and data science\, as well as important application areas such as machine vision\, computational biology\, speech recognition\, text understanding\, gaming\, and robotics. \nParticipants at ICLR span a wide range of backgrounds\, from academic and industrial researchers\, to entrepreneurs and engineers\, to graduate students and postdocs. \nA non-exhaustive list of relevant topics explored at the conference include: \n\nunsupervised\, semi-supervised\, and supervised representation learning\nrepresentation learning for planning and reinforcement learning\nrepresentation learning for computer vision and natural language processing\nmetric learning and kernel learning\nsparse coding and dimensionality expansion\nhierarchical models\noptimization for representation learning\nlearning representations of outputs or states\noptimal transport\ntheoretical issues in deep learning\nsocietal considerations of representation learning including fairness\, safety\, privacy\, and interpretability\, and explainability\nvisualization or interpretation of learned representations\nimplementation issues\, parallelization\, software platforms\, hardware\nclimate\, sustainability\napplications in audio\, speech\, robotics\, neuroscience\,  biology\, or any other field
URL:https://www.neuropac.info/event/iclr-2024/
LOCATION:Vienna\, Vienna\, Austria
CATEGORIES:Conference
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