Machine Learning for Autonomous Driving

Saturday December 14th, Vancouver Convention Centre, Vancouver


About

Welcome to the NeurIPS 2019 Workshop on Machine Learning for Autonomous Driving!

Autonomous vehicles (AVs) offer a rich source of high-impact research problems for the machine learning (ML) community; including perception, state estimation, probabilistic modeling, time series forecasting, gesture recognition, robustness guarantees, real-time constraints, user-machine communication, multi-agent planning, and intelligent infrastructure. Further, the interaction between ML subfields towards a common goal of autonomous driving can catalyze interesting inter-field discussions that spark new avenues of research, which this workshop aims to promote. As an application of ML, autonomous driving has the potential to greatly improve society by reducing road accidents, giving independence to those unable to drive, and even inspiring younger generations with tangible examples of ML-based technology clearly visible on local streets.

All are welcome to submit and/or attend! This will be the 4th NeurIPS workshop in this series. Previous workshops in 2016, 2017, and 2018 enjoyed wide participation from both academia and industry.

Info

Paper submissions due: 17th September 2019 at 23:59 Anywhere on Earth
Author notifications: 1st October 2019
Camera-ready paper due: 1st December 2019:

Date: Saturday 14th December 2019
Room: 1, 2, and 3 (East Meeting Level)
Contact: rmcallister@berkeley.edu

Speakers

  • Raquel Urtasun

    Time (TBD)

    Talk title (TBD)

    Raquel Urtasun

    Associate Professor, Univ. of Toronto / Chief Scientist at Uber

  • Daniela Rus

    Time (TBD)

    Talk title (TBD)

    Daniela Rus

    Professor, MIT / Director of Toyota-CSAIL

  • Andrej Karpathy

    Time (TBD)

    Talk title (TBD)

    Andrej Karpathy

    Director of AI and Autopilot, Tesla

  • Vladlen Koltun

    Time (TBD)

    Talk title (TBD)

    Vladlen Koltun

    Director of Intelligent Systems Lab, Intel

  • Emilio Frazzoli

    Time (TBD)

    Talk title (TBD)

    Emilio Frazzoli

    Professor, MIT / CTO at nuTonomy

Submissions

Submission deadline: 17th September 2019 at 23:59 Anywhere on Earth
Submission website: https://cmt3.research.microsoft.com/ML4AD2019
Submission format: either extended abstracts (4 pages) or full papers (8 pages) anonymously using:
 •  neurips_2019_ml4ad.tex -- LaTeX template
 •  neurips_2019_ml4ad.sty -- style file for LaTeX 2e
 •  neurips_2019_ml4ad.pdf -- example PDF output
References and appendix should be appended into the same (single) PDF document, and do not count towards the page count.

We invite submissions on machine learning applied to autonomous driving, including (but not limited to):
 •  Supervised scene perception and classification
 •  Unsupervised representation learning for driving
 •  Behavior modeling of pedestrians and vehicles
 •  Gesture recognition
 •  Uncertainty propagation through AV software pipelines
 •  Metrics for autonomous driving
 •  Benchmarks for autonomous driving
 •  Real-time inference and prediction
 •  Causal modeling for multi-agent traffic scenarios
 •  Robustness to out-of-distribution road scenes
 •  Imitative driving policies
 •  Transfer learning from simulation to real-world (Sim2Real)
 •  Coordination with human-driven vehicles
 •  Coordination with vehicles (V2V) or infrastructure (V2I)
 •  Explainable driving decisions
 •  Adaptive driving styles based on user preferences

FAQ

Q: Are dual submissions OK?
A: Yes.

Q: Will there be archival proceedings?
A: No. Neither 4 or 8 page submissions will be indexed nor have archival proceedings.

Q: Should submitted papers be anonymized?
A: Yes. If accepted, we will ask for a de-anonymized version to link on the website.

Schedule

Time Slot Description
Time (TBD) Welcome -
Time (TBD) Raquel Urtasun Talk title (TBD) Univ. of Toronto / Uber
Time (TBD) Daniela Rus Talk title (TBD) MIT / Toyota-CSAIL
Time (TBD) Lunch -
Time (TBD) Andrej Karpathy Talk title (TBD) Tesla
Time (TBD) Vladlen Koltun Talk title (TBD) Intel
Time (TBD) Coffee-break -
Time (TBD) Emilio Frazzoli Talk title (TBD) nuTonomy
Time (TBD) Cathy Wu Talk title (TBD) MIT / Microsoft
Time (TBD) Jaime Fisac Talk title (TBD) UC Berkeley
Time (TBD) Daniel Cremers Talk title (TBD) TU München
Time (TBD) Igor Gilitschenski Talk title (TBD) MIT
Time (TBD) Chris Baker Talk title (TBD) iSee

Sponsors

Organizers

  • Rowan McAllister

    Rowan McAllister    rmcallister@berkeley.edu

    is a postdoctoral researcher at UC Berkeley working on probabilistic models for safe motion planning with autonomous vehicles.

  • Nicholas Rhinehart

    Nicholas Rhinehart    nrhineha@cs.cmu.edu

    is a Ph.D. student at Carnegie Mellon University, focusing on understanding, forecasting, and control with computer vision and machine learning.

  • Fisher Yu

    Fisher Yu    i@yf.io

    is a postdoctoral researcher at UC Berkeley working in image recognition, interactive data processing systems, and high-level understanding of dynamic 3D scenes.

  • Li Erran Li

    Li Erran Li    erranlli@gmail.com

    is head of machine learning at Scale.ai and an adjunct professor at Columbia University.

  • Anca Dragan

    Anca Dragan    anca@berkeley.edu

    is an Assistant Professor at UC Berkeley and runs the InterACT Lab, focusing on algorithms for human-robot interaction.

Program Committee

   We thank those who help make this workshop possible!

        •  Yehya Abouelnaga
        •  Elmira Amirloo
        •  Hossein Azizpour
        •  Arjun Nitin Bhagoji
        •  Maciej Brzeski
        •  Sebastian Bujwid
        •  Wei-Lun Chao
        •  Weikai Chen
        •  Xinyun Chen
        •  Chen Chen
        •  Fang-Chieh Chou
        •  Henggang Cui
        •  Neema Davis
        •  Zihan Ding
        •  Nemanja Djuric
        •  Alexey Dosovitskiy
        •  Hesham M. Eraqi
        •  Andrien Gaidon
        •  Yang Gao
        •  Paweł Gora
        •  Mikael Henaff
        •  Ravi Kiran
        •  Edouard Leurent
        •  Zhuwen Li
        •  Xiaoyuan Liang
        •  Xiao-Yang Liu

        •  Jun Luo
        •  Sergio Macua
        •  Miquel Martí
        •  Marcin Możejko
        •  Lukas Neumann
        •  Thi Nguyen
        •  Gaurav Raina
        •  German Ros
        •  Ahmad El Sallab
        •  Axel Sauer
        •  Mark Schutera
        •  Ibrahim Sobh
        •  Zhaoen Su
        •  Anthony Tompkins
        •  Stephen Tu
        •  Andrea Vedaldi
        •  Dequan Wang
        •  Bin Wang
        •  Hua Wei
        •  Peyman Yadmellat
        •  Xinchen Yan
        •  Hengshuai Yao
        •  Mohamed Zahran
        •  Jiakai Zhang
        •  Yuzheng Zhuang

Location

Rooms 1,2,3 (East Meeting Level) in the Vancouver Convention Center, 999 Canada Pl, Vancouver, BC V6C 3C1, Canada