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

EWRL and NIPS 2016

EWRL and NIPS 2016 I went to the European Workshop on Reinforcement Learning and NIPS last month and saw several interesting things. At EWRL, I particularly liked the talks from: Remi Munos on off-policy evaluation Mohammad Ghavamzadeh on learning safe policies Emma Brunskill on optimizing biased-but safe estimators (sense a theme?) Sergey Levine on low sample complexity applications of RL in robotics. My talk is here. Overall, this was a well organized workshop with diverse and interesting subjects, with the only caveat being that they had to limit registration At NIPS itself, I found the poster sessions fairly interesting. Allen-Zhu and Hazan had a new notion of a reduction (video). Zhao, Poupart, and Gordon had a new way to learn Sum-Product Networks Ho, Littman, MacGlashan, Cushman, and Austerwell, had a paper on how “Showing” is different from “Doing”. Toulis and…
Original Post: EWRL and NIPS 2016

NIPS 2016 & Research at Google

Posted by Doug Eck, Research Scientist, Google Brain TeamThis week, Barcelona hosts the 30th Annual Conference on Neural Information Processing Systems (NIPS 2016), a machine learning and computational neuroscience conference that includes invited talks, demonstrations and oral and poster presentations of some of the latest in machine learning research. Google will have a strong presence at NIPS 2016, with over 280 Googlers attending in order to contribute to and learn from the broader academic research community by presenting technical talks and posters, in addition to hosting workshops and tutorials.Research at Google is at the forefront of innovation in Machine Intelligence, actively exploring virtually all aspects of machine learning including classical algorithms as well as cutting-edge techniques such as deep learning. Focusing on both theory as well as application, much of our work on language understanding, speech, translation, visual processing, ranking,…
Original Post: NIPS 2016 & Research at Google

ICML 2016 videos and statistics

ICML 2016 videos and statistics The ICML 2016 videos are out. I also wanted to share some statistics from registration that might be of general interest. The total number of people attending: 3103. Industry: 47% University: 46% Male: 83% Female: 14% Local (NY, NJ, or CT): 27% North America: 70% Europe: 18% Asia: 9% Middle East: 2% Remainder: <1% including…
Original Post: ICML 2016 videos and statistics

ACL 2016 & Research at Google

Posted by Slav Petrov, Research ScientistThis week, Berlin hosts the 2016 Annual Meeting of the Association for Computational Linguistics (ACL 2016), the premier conference of the field of computational linguistics, covering a broad spectrum of diverse research areas that are concerned with computational approaches to natural language. As a leader in Natural Language Processing (NLP) and a Platinum Sponsor of…
Original Post: ACL 2016 & Research at Google

ICML 2016 was awesome

I had a fantastic time at ICML 2016— I learned a great deal. There was far more good stuff than I could see, and it was exciting to catch up on recent advances.David Silver gave one of the best tutorials I’ve seen on his group’s recent work in “deep” reinforcement learning. I learned about a few new techniques, including the…
Original Post: ICML 2016 was awesome

CVPR 2016 & Research at Google

Posted by Rahul Sukthankar, Research ScientistThis week, Las Vegas hosts the 2016 Conference on Computer Vision and Pattern Recognition (CVPR 2016), the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. As a leader in computer vision research, Google has a strong presence at CVPR 2016, with many Googlers presenting papers and invited…
Original Post: CVPR 2016 & Research at Google

An ICML unworkshop

An ICML unworkshop Following up on an interesting suggestion, we are creating a “Birds of a Feather Unworkshop” with a leftover room (Duffy/Columbia) on Thursday and Friday during the workshops. People interested in ad-hoc topics can post a time and place to meet and discuss. Details are here a little ways down.
Original Post: An ICML unworkshop

ICML 2016 & Research at Google

Posted by Afshin Rostamizadeh, Research ScientistThis week, New York hosts the 2016 International Conference on Machine Learning (ICML 2016), a premier annual Machine Learning event supported by the International Machine Learning Society (IMLS). Machine Learning is a key focus area at Google, with highly active research groups exploring virtually all aspects of the field, including deep learning and more classical…
Original Post: ICML 2016 & Research at Google

The ICML 2016 Space Fight

The space problem started long ago. At ICML last year and the year before the amount of capacity that needed to fit everyone on any single day was about 1500. My advice was to expect 2000 and have capacity for 2500 because “New York” and “Machine Learning”. Was history right? Or New York and buzz? I was not involved in…
Original Post: The ICML 2016 Space Fight