Google at ICLR 2018

Posted by Jeff Dean, Google Senior Fellow, Head of Google Research and Machine IntelligenceThis week, Vancouver, Canada hosts the 6th International Conference on Learning Representations (ICLR 2018), a conference focused on how one can learn meaningful and useful representations of data for machine learning. ICLR includes conference and workshop tracks, with invited talks along with oral and poster presentations of some of the latest research on deep learning, metric learning, kernel learning, compositional models, non-linear structured prediction, and issues regarding non-convex optimization.At the forefront of innovation in cutting-edge technology in neural networks and deep learning, Google focuses on both theory and application, developing learning approaches to understand and generalize. As Platinum Sponsor of ICLR 2018, Google will have a strong presence with over 130 researchers attending, contributing to and learning from the broader academic research community by presenting papers and…
Original Post: Google at ICLR 2018

ICML Board and Reviewer profiles

ICML Board and Reviewer profiles The outcome of the election for the IMLS (which runs ICML) adds Emma Brunskill, Kamalika Chaudhuri, and Hugo Larochelle to the board. The current members of the board (and the reason for board membership) are: President Elect is a 2-year position with little responsibility, but I decided to look into two things. One is the website which seems relatively difficult to navigate. Ideas for how to improvement are welcome. The other is creating a longitudinal reviewer profile. I keenly remember the day after reviews were due when I was program chair (in 2012) which left a panic-inducing number of unfinished reviews. To help with this, I’m planning to create a profile of reviewers which program chairs can refer to in making decisions about who to ask to review. There are a number of ways to…
Original Post: ICML Board and Reviewer profiles

A Summary of the First Conference on Robot Learning

Posted by Vincent Vanhoucke, Principal Scientist, Google Brain Team and Melanie Saldaña, Program Manager, University RelationsWhether in the form of autonomous vehicles, home assistants or disaster rescue units, robotic systems of the future will need to be able to operate safely and effectively in human-centric environments. In contrast to to their industrial counterparts, they will require a very high level of perceptual awareness of the world around them, and to adapt to continuous changes in both their goals and their environment. Machine learning is a natural answer to both the problems of perception and generalization to unseen environments, and with the recent rapid progress in computer vision and learning capabilities, applying these new technologies to the field of robotics is becoming a very central research question.This past November, Google helped kickstart and host the First Conference on Robot Learning (CoRL)…
Original Post: A Summary of the First Conference on Robot Learning

Google at NIPS 2017

Posted by Christian Howard, Editor-in-Chief, Research CommunicationsThis week, Long Beach, California hosts the 31st annual Conference on Neural Information Processing Systems (NIPS 2017), a machine learning and computational neuroscience conference that includes invited talks, demonstrations and presentations of some of the latest in machine learning research. Google will have a strong presence at NIPS 2017, with over 450 Googlers attending to contribute to, and learn from, the broader academic research community via technical talks and posters, workshops, competitions and tutorials.Google is at the forefront of machine learning, actively exploring virtually all aspects of the field from classical algorithms to deep learning and more. Focusing on both theory and application, much of our work on language understanding, speech, translation, visual processing, and prediction relies on state-of-the-art techniques that push the boundaries of what is possible. In all of those tasks and…
Original Post: Google at NIPS 2017

Google at KDD’17: Graph Mining and Beyond

Posted by Bryan Perozzi, Research Scientist, NYC Algorithms and Optimization TeamThe 23rd ACM conference on Knowledge Discovery and Data Mining (KDD’17), a main venue for academic and industry research in data science, information retrieval, data mining and machine learning, was held last week in Halifax, Canada. Google has historically been an active participant in KDD, and this year was no exception, with Googlers’ contributing numerous papers and participating in workshops.In addition to our overall participation, we are happy to congratulate fellow Googler Bryan Perozzi for receiving the SIGKDD 2017 Doctoral Dissertation Award, which serves to recognize excellent research by doctoral candidates in the field of data mining and knowledge discovery. This award was given in recognition of his thesis on the topic of machine learning on graphs performed at Stony Brook University, under the advisorship of Steven Skiena. Part of…
Original Post: Google at KDD’17: Graph Mining and Beyond

Google at KDD’17: Graph Mining and Beyond

Posted by Bryan Perozzi, Research Scientist, NYC Algorithms and Optimization TeamThe 23rd ACM conference on Knowledge Discovery and Data Mining (KDD’17), a main venue for academic and industry research in data science, information retrieval, data mining and machine learning, was held last week in Halifax, Canada. Google has historically been an active participant in KDD, and this year was no exception, with Googlers’ contributing numerous papers and participating in workshops.In addition to our overall participation, we are happy to congratulate fellow Googler Bryan Perozzi for receiving the SIGKDD 2017 Doctoral Dissertation Award, which serves to recognize excellent research by doctoral candidates in the field of data mining and knowledge discovery. This award was given in recognition of his thesis on the topic of machine learning on graphs performed at Stony Brook University, under the advisorship of Steven Skiena. Part of…
Original Post: Google at KDD’17: Graph Mining and Beyond

Google at ICML 2017

Posted by Christian Howard, Editor-in-Chief, Research CommunicationsMachine learning (ML) is a key strategic focus at Google, with highly active groups pursuing research in virtually all aspects of the field, including deep learning and more classical algorithms, exploring theory as well as application. We utilize scalable tools and architectures to build machine learning systems that enable us to solve deep scientific and engineering challenges in areas of language, speech, translation, music, visual processing and more.As a leader in ML research, Google is proud to be a Platinum Sponsor of the thirty-fourth International Conference on Machine Learning (ICML 2017), a premier annual event supported by the International Machine Learning Society taking place this week in Sydney, Australia. With over 130 Googlers attending the conference to present publications and host workshops, we look forward to our continued colalboration with the larger ML research…
Original Post: Google at ICML 2017

Google at ACL 2017

Posted by Christian Howard, Editor-in-Chief, Research CommunicationsThis week, Vancouver, Canada hosts the 2017 Annual Meeting of the Association for Computational Linguistics (ACL 2017), the premier conference in the field of natural language understanding, covering a broad spectrum of diverse research areas that are concerned with computational approaches to natural language.As a leader in natural language processing & understanding and a Platinum sponsor, Google will be on hand to showcase research interests that include syntax, semantics, discourse, conversation, multilingual modeling, sentiment analysis, question answering, summarization, and generally building better systems using labeled and unlabeled data, state-of-the-art modeling, and learning from indirect supervision.If you’re attending ACL 2017, we hope that you’ll stop by the Google booth to check out some demos, meet our researchers and discuss projects and opportunities at Google that go into solving interesting problems for billions of people. Learn…
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Google at CVPR 2017

Posted by Christian Howard, Editor-in-Chief, Research CommunicationsFrom July 21-26, Honolulu, Hawaii hosts the 2017 Conference on Computer Vision and Pattern Recognition (CVPR 2017), the premier annual computer vision event comprising the main conference and several co-located workshops and tutorials. As a leader in computer vision research and a Platinum Sponsor, Google will have a strong presence at CVPR 2017 — over 250 Googlers will be in attendance to present papers and invited talks at the conference, and to organize and participate in multiple workshops.If you are attending CVPR this year, please stop by our booth and chat with our researchers who are actively pursuing the next generation of intelligent systems that utilize the latest machine learning techniques applied to various areas of machine perception. Our researchers will also be available to talk about and demo several recent efforts, including the…
Original Post: Google at CVPR 2017

ICML is changing its constitution

ICML is changing its constitution Andrew McCallum has been leading an initiative to update the bylaws of IMLS, the organization which runs ICML. I expect most people aren’t interested in such details. However, the bylaws change rarely and can have an impact over a long period of time so they do have some real importance. I’d like to hear comment from anyone with a particular interest before this year’s ICML. In my opinion, the most important aspect of the bylaws is the at-large election of members of the board which is preserved. Most of the changes between the old and new versions are aimed at better defining roles, committees, etc… to leave IMLS/ICML better organized. Anyways, please comment if you have a concern or thoughts.
Original Post: ICML is changing its constitution