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  • NAACL 2013

    The 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

  • CVPR 2013 Track 3

    CVPR Webcast of talks from Track 3.

  • CVPR 2013 Track 1

    Webcasts of talks from tutorials and oral sessions from Session A (please see the conference program for further details)

  • ICML 2013 Plenary Webcast

    The 30th International Conference on Machine Learning (ICML 2013)

  • Vator Splash LA 2013

    Splash is a single-track evening event and startup competition, where 10 promising startups compete for $25k-plus in prizes and sit-down interviews with leading VCs. Splash gathers leading entrepreneurs, innovators, venture capitalists and angel investors across technology to inspire and energize the audience about entrepreneurship and innovation. Keynote speakers talk about how to build and scale great successful companies, how their industries are changing and the opportunities those changes are creating. Just as TED talks are "Ideas worth spreading," Splash Keynotes are "Lessons worth sharing." Splash also allows the audience to mingle with top venture capitalists and angels who are funding tomorrow's next Google and Facebook. These influencers will give you insights into how they think when it comes to investments and they'll also talk about their changing investment strategies in light of the emergence of super angels, angels, micro-VCs and incubators.

  • International Conference on Learning Representations (ICLR) 2013

    It is well understood that the performance of machine learning methods is heavily dependent on the choice of data representation (or features) on which they are applied. The rapidly developing field of representation learning is concerned with questions surrounding how we can best learn meaningful and useful representations of data. We take a broad view of the field, and include in it topics such as deep learning and feature learning, metric learning, kernel learning, compositional models, non-linear structured prediction, and issues regarding non-convex optimization.

    Despite the importance of representation learning to machine learning and to application areas such as vision, speech, audio and NLP, there is currently no common venue for researchers who share a common interest in this topic. The goal of ICLR is to help fill this void.

    ICLR 2013 will be a 3-day event from May 2nd to May 4th 2013, co-located with AISTATS2013 in Scottsdale, Arizona. The conference will adopt a novel publication process, which is explained in further detail here: Publication Model.

  • Sixteenth International Conference on Artificial Intelligence and Statistics (AISTATS) 2013

    The Sixteenth international conference on Artificial Intelligence and Statistics (AISTATS 2013) will be held in Scottsdale, AZ, USA. AISTATS is an interdisciplinary gathering of researchers at the intersection of computer science, artificial intelligence, machine learning, statistics, and related areas. Since its inception in 1985, the primary goal of AISTATS has been to broaden research in these fields by promoting the exchange of ideas among them. We encourage the submission of all papers which are in keeping with this objective.