Conference on Neural Information Processing Systems | |
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Abbreviation | NIPS |
Discipline | Machine learning, statistics, artificial intelligence, computational neuroscience |
Publication details | |
History | 1987– |
Frequency | Annual |
The Conference and Workshop on Neural Information Processing Systems (NIPS) is a machine learning and computational neuroscience conference held every December. The conference is currently a double-track meeting (single-track until 2015) that includes invited talks as well as oral and poster presentations of refereed papers, followed by parallel-track workshops that up to 2013 were held at ski resorts.
The NIPS meeting was first proposed in 1986 at the annual invitation-only Snowbird Meeting on Neural Networks for Computing organized by The California Institute of Technology and Bell Laboratories. NIPS was designed as a complementary open interdisciplinary meeting for researchers exploring biological and artificial Neural Networks. Reflecting this multidisciplinary approach, NIPS began in 1987 with information theorist Ed Posner as the conference president and learning theorist Yaser Abu-Mostafa and computational neurobiologist James Bower as co-program chairman. Research presented in the early NIPS meetings including a wide range of topics from efforts to solve purely engineering problems to the use of computer models as a tool for understanding biological nervous systems. Since then, the biological and artificial systems research streams have diverged, and recent NIPS proceedings have been dominated by papers on machine learning, artificial intelligence and statistics.
From 1987 until 2000 NIPS was held in Denver, United States. Since then, the conference was held in Vancouver, Canada (2001-2010), Granada, Spain (2011), and Lake Tahoe, United States (2012-2013). In 2014 and 2015, the conference was held in Montreal, Canada. Reflecting its origins at Snowbird, Utah, the meeting is usually accompanied by workshops organized at a nearby ski resort.