NeurIPS 2019 Expo Workshop

Dec. 8, 2019

Expo Schedule »

Machine Learning for Autonomous Driving: Recent Advances and Research Opportunities (MLAuto)


Autonomous driving has become one of the leading applications to drive the progress of AI. The goal of this workshop is to bring together researchers and practitioners in the field of autonomous driving to share the recent progresses, and discuss core challenges and research opportunities in machine learning.

The workshop schedule is below. For details, see:

8:00 - 8:30am Overview of Recent Advances and Research Opportunities in Autonomous Driving, Li Erran Li

8:30 - 8:50am Scalable and Real-Time Machine Learning Systems for Autonomous Driving, Yubo Zhang,

8:50 - 9:10am Challenges in autonomous driving planning and control, Yu Peng,

9:10 - 9:40am Prediction and Planning Under Uncertainty – The Case of Autonomous Driving, Alfredo Canziani, NYU

9:40 - 10:00am Machine Learning for HD Maps, Jialin Jiao,

10:00 - 10:30am Coffee Break

10:30 - 11:00am Learning Deep Predictive Models for Sample-Efficient Reinforcement Learning and Planning, Honglak Lee, University of Michigan, Ann Arbor

11:00 - 11:30am Perception in Autonomous Driving: Recent Advances and Research Opportunities, Yimeng Zhang and Bo Xiao,

11:30 - 12:00am Secure Learning in Adversarial Environments, Bo Li, UIUC

12:00 - 12:30am Networking