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…
Original Post: Google at ACL 2017

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

Coarse Discourse: A Dataset for Understanding Online Discussions

Posted by Praveen Paritosh, Senior Research Scientist, Ka Wong, Senior Data ScientistEvery day, participants of online communities form and share their opinions, experiences, advice and social support, most of which is expressed freely and without much constraint. These online discussions are often a key resource of information for many important topics, such as parenting, fitness, travel and more. However, these discussions also are intermixed with a clutter of disagreements, humor, flame wars and trolling, requiring readers to filter the content before getting the information they are looking for. And while the field of Information Retrieval actively explores ways to allow users to more efficiently find, navigate and consume this content, there is a lack of shared datasets on forum discussions to aid in understanding these discussions a bit better.To aid researchers in this space, we are releasing the Coarse Discourse…
Original Post: Coarse Discourse: A Dataset for Understanding Online Discussions

Research at Google and ICLR 2017

Posted by Ian Goodfellow, Staff Research Scientist, Google Brain TeamThis week, Toulon, France hosts the 5th International Conference on Learning Representations (ICLR 2017), 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 2017, Google will have a strong presence with over 50 researchers attending (many from the Google Brain team and Google Research Europe), contributing to and learning from the broader academic…
Original Post: Research at Google and ICLR 2017

Fact over Fiction

Politics is a distracting affair which I generally believe it’s best to stay out of if you want to be able to concentrate on research. Nevertheless, the US presidential election looks like something that directly politicizes the idea and process of research by damaging the association of scientists & students, funding for basic research, and creating political censorship. A core question here is: What to do? Today’s March for Science is a good step, but I’m not sure it will change many minds. Unlike most scientists, I grew up in a a county (Linn) which voted overwhelmingly for Trump. As a consequence, I feel like I must translate the mindset a bit. For the median household left behind over my lifetime a march by relatively affluent people protesting the government cutting expenses will not elicit much sympathy. Discussion about the…
Original Post: Fact over Fiction