Home Search
NIPS - search results
If you're not happy with the results, please do another search
NIPS finally sheds its ‘sexist’ name for NeurIPS
The ‘Neural Information Processing Systems’, or ‘NIPS’, a well-known machine learning and computational neuroscience conference adopted ‘NeurIPS’ as an alternative acronym for the conference,...
NIPS Foundation decides against name change as poll finds it an unpopular superficial move;...
The ‘Neural Information Processing Systems’, also known as ‘NIPS’ is a well known for hosting the most influential AI conferences over the past 32...
Snips open sources Snips NLU, its Natural Language Understanding engine
Snips, open source Snips NLU, a Natural Language Understanding python library that allows parsing sentences written in natural language, and extract structured information.
Snips NLU...
NIPS 2017 Special: Decoding the Human Brain for Artificial Intelligence to make smarter decisions
Yael Niv is an Associate Professor of Psychology at the Princeton Neuroscience Institute since 2007. Her preferred areas of research include human and animal...
NIPS 2017 Special: A deep dive into Deep Bayesian and Bayesian Deep Learning with...
Yee Whye Teh is a professor at the department of Statistics of the University of Oxford and also a research scientist at DeepMind. He...
NIPS 2017 Special: How machine learning for genomics is bridging the gap between research...
Brendan Frey is the founder and CEO of Deep Genomics. He is the professor of engineering and medicine at the University of Toronto. His...
NIPS 2017 Special: 6 Key Challenges in Deep Learning for Robotics by Pieter Abbeel
Pieter Abbeel is a professor at UC Berkeley and a former Research Scientist at OpenAI. His current research focuses on robotics and machine learning...
20 lessons on bias in machine learning systems by Kate Crawford at NIPS 2017
Kate Crawford is a Principal Researcher at Microsoft Research and a Distinguished Research Professor at New York University. She has spent the last decade...
3 great ways to leverage Structures for Machine Learning problems by Lise Getoor at...
Lise Getoor is a professor in the Computer Science Department, at the University of California, Santa Cruz. She has a PhD in Computer Science...
Top Research papers showcased at NIPS 2017 – Part 1
The ongoing 31st annual Conference on Neural Information Processing Systems (NIPS 2017) in Long Beach, California is scheduled from December 4-9, 2017. The 6-day...