NIPS 2017

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…

6 years ago

NIPS 2017 Special: A deep dive into Deep Bayesian and Bayesian Deep Learning with Yee Whye Teh

Yee Whye Teh is a professor at the department of Statistics of the University of Oxford and also a research…

6 years ago

NIPS 2017 Special: How machine learning for genomics is bridging the gap between research and clinical trial success by Brendan Frey

Brendan Frey is the founder and CEO of Deep Genomics. He is the professor of engineering and medicine at the…

6 years ago

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…

6 years ago

3 great ways to leverage Structures for Machine Learning problems by Lise Getoor at NIPS 2017

Lise Getoor is a professor in the Computer Science Department, at the University of California, Santa Cruz. She has a…

6 years ago

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…

6 years ago

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…

6 years ago