(T) The 2019 Conference on Neural Information Processing Systems (NeurIPS) was held this year from December 8th through December 14th, 2019 at the Vancouver Convention Center. Over 13,000 attendees! And 1,428 accepted paper!
- List of papers: Advances in Neural Information Processing Systems 32 (NIPS 2019) pre-proceedings
- Short videos of the presentations: NeurIPS 2019 Videos
- Slides of the presentations
- List of the workshops
A few interesting statistics:
- 12% of the papers accepted have an author from Google/Deep Mind
- 12% of the paper accepted have an author from Facebook, Microsoft, IBM or Amazon combined
- Stanford and MIT are leading the number of papers from academic institutions followed by CMU and UC Berkeley
- Most contributing authors are: Sergey Levine (UC Berkeley), Francis Bach (INRIA-ENS), Pieter Abbeel (UC Berkeley), Ruslan Salakhutdinov (CMU) and Yoshua Bengio (Univ. of Montreal)
A few articles about the conference:
- NeurIPS 2019 Stats from Diego Charrez
- Is NeurIPS Getting Too Big? The Gradient
- Notes from David Abel
- Key Trends from Chip Huyen
Some of the workshops that I am interested to study more:
- Meta-learning:
- Bayesian deep learning:
- Deep reinforcement learning:
- Machine learning and causal inference for improved decisions:
- Graph representation learning:
- Machine learning for autonomous driving:
- Federated learning:
Note: The picture above is the city of Vancouver.
Copyright © 2005-2019 by Serge-Paul Carrasco. All rights reserved.
Contact Us: asvinsider at gmail dot com
Categories: Artificial Intelligence, Conferences, Machine Learning
A Silicon Valley Insider 