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

5 Free Resources for Furthering Your Understanding of Deep Learning

[unable to retrieve full-text content]This post includes 5 specific video-based options for furthering your understanding of neural networks and deep learning, collectively consisting of many, many hours of insights.
Original Post: 5 Free Resources for Furthering Your Understanding of Deep Learning

Generative Adversarial Networks – Hot Topic in Machine Learning

By Al Gharakhanian. NIPS2016 (Neural Information Processing System) is an annual event that attracts the best and the brightest of the field of Machine Learning both from academia as well as industry. I attended this event last week for the very first time and was blown away by the volume and diversity of the presentations. One unusual observation was that a large chunk of exhibitors were hedge funds in search of ML talent. Some of the papers were highly abstract and theoretical while others quite pragmatic from the likes of Google, Facebook. The topics were wide-ranging but there were two topics stood out attracting a sizable attention. The first was “Generative Adversarial Networks” (GANs for short), while the second was “Reinforcement Learning” (RL for short). My plan is to cover GANs in this post and hope to do the same for RL in a future post.…
Original Post: Generative Adversarial Networks – Hot Topic in Machine Learning

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

Up to Speed on Deep Learning: August Update, Part 2

This is the second part of an overview of deep learning stories that made news in August. Look to see if you have missed anything. By Isaac Madan, Investor at Venrock & Co-editor of Requests for Startups. Continuing our series of deep learning updates, we pulled together some of the awesome resources that have emerged since our last post on…
Original Post: Up to Speed on Deep Learning: August Update, Part 2

NIPS 2015 Review

NIPS 2015 was bigger than ever, literally: at circa 3700 attendees this was roughly twice as many attendees as last year, which in turn was roughly twice as many as the previous year. This is clearly unsustainable, but given the frenzied level of vendor and recruiting activities, perhaps there is room to grow. The main conference is single track, however,…
Original post: NIPS 2015 Review
Source: Machined Learnings

NIPS 2015 and Machine Learning Research at Google

Posted by Sanjiv Kumar, Research ScientistThis week, Montreal hosts the 29th Annual Conference on Neural Information Processing Systems (NIPS 2015), 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 2015, with over 140 Googlers attending…
Original post: NIPS 2015 and Machine Learning Research at Google
Source: Google Research

LearningSys NIPS Workshop CFP

CISL is the research group in which I work at Microsoft. The team brings together systems and machine learning experts, with the vision of having these two disciplines inform each other. This is also the vision for the LearningSys workshop, which was accepted for NIPS 2015, and is co-organized by Markus Weimer from CISL.If this sounds like your cup of…
Original post: LearningSys NIPS Workshop CFP
Source: Machined Learnings

NIPS 2014

With a new venue and a deep attitude, NIPS was a blast this year, kudos to the organizers.Let’s start with the “talk of the conference”. I mean this in the spirit of Time’s “Man of the Year”, i.e., I’m not condoning the content, just noting that it was the most impactful. And of course the winner is … Ilya Sutsveker’s…
Original post: NIPS 2014
Source: Machined Learnings