Tag: NIPS 2017
NIPS 2017 Special: Decoding the Human Brain for Artificial Intelligence to...
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...
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...
Brendan Frey is the founder and CEO of Deep Genomics. He is the professor of engineering and medicine at the University of Toronto. His...
20 lessons on bias in machine learning systems by Kate Crawford...
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 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...
Top Research papers showcased at NIPS 2017 – Part 2
Continuing from where we left our previous post, we are back with a quick roundup of top research papers on Machine Translation, Predictive Modelling,...