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Abstract: The two long-held aspirations to understand the mechanisms of human intelligence, and to recreate such intelligence in machines, have inspired many of us to build our careers in the field of machine learning. However, while the creation of technologies supporting general intelligence would be truly revolutionary, such an achievement still seems to lie well into the future. Meanwhile, ano
This is the second NIPS edition on "NIPS Competitions". We received 21 competition proposals related to data-driven and live competitions on different aspects of NIPS. Proposals were reviewed by several high qualified researchers and experts in challenges organization. Eight top-scored competitions were accepted to be run and present their results during the NIPS 2018 Competition track days. Evalu
This accepted papers list has been superseded. Click here for the new list Scan Order in Gibbs Sampling: Models in Which it Matters and Bounds on How Much Bryan He*, Stanford University; Christopher De Sa, Stanford University; Ioannis Mitliagkas, ; Christopher Ré, Stanford University Deep ADMM-Net for Compressive Sensing MRI Yan Yang, Xi'an Jiaotong University; Jian Sun*, Xi'an Jiaotong University
NIPS 2015 Accepted Papers Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing Nihar Shah*, UC Berkeley; Dengyong Zhou, MSR Learning with Symmetric Label Noise: The Importance of Being Unhinged Brendan van Rooyen, NICTA; Aditya Menon*, NICTA; Robert Williamson, NICTA Algorithmic Stability and Uniform Generalization Ibrahim Alabdulmohsin*, KAUST Adaptive Low-Complexity Sequentia
NeurIPS 2024, the Thirty-eighth Annual Conference on Neural Information Processing Systems, will be held at the Vancouver Convention Center Monday Dec 9 through Sunday Dec 15. Monday is an industry expo. Registration Pricing » Registration 2024 Registration Cancellation Policy » Certificate of Attendance Our Hotel Reservation page is currently under construction and will be released shortly. NeurI
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