Connectionists: CfP: Fourth Workshop on Lifelong Learning @ICML 2020
Sarath Chandar
sarathcse2008 at gmail.com
Tue Mar 31 22:56:54 EDT 2020
Dear Colleagues,
We would like to invite you to submit your work to the fourth Lifelong
Learning Workshop at ICML 2020, which will be held virtually (due to
COVID-19) on July 17/18, 2020.
IMPORTANT INFORMATION
************************************************
Website: <http://rlabstraction2016.wix.com/icml-2017>
https://lifelongml.github.io/
Date: 17 or 18 July 2020
Location: Virtual
Submission deadline: 20th May 2020, 11:59 PM Anywhere on Earth
KEYNOTE SPEAKERS
************************************************
- Katja Hofmann (Microsoft Research)
- Irina Rish (University of Montreal)
- Jurgen Schmiduber (IDSIA)
- Rich Sutton (University of Alberta)
- Partha Pratim Talukdar (Indian Institute of Science)
SUBMISSION
************************************************
The submitted work should be between 4-8 pages (excluding references).
Recently published (or under-review) work is also welcome. The submission
should be in pdf format and should follow the style guidelines for ICML
2020 (found here
<https://media.icml.cc/Conferences/ICML2020/Styles/icml2020_style.zip>).
The review process is double-blind, and the work should be submitted by the
latest 20th May 2020, 11:59 PM (Anywhere on Earth). Submissions must be
made using OpenReview
<https://openreview.net/group?id=ICML.cc/2020/Workshop/LifelongML>.
There will be no formal publication of workshop proceedings. However, the
accepted papers will be made available online on the workshop website.
Best paper awards (a total of 2000$) will be given to the highest-quality
original submission(s) from students.
AREAS OF INTEREST
************************************************
-
Catastrophic forgetting
-
Capacity expansion techniques
-
Modularity and Compositionality for lifelong learning
-
Transfer Learning
-
Multi-task Learning
-
Curriculum Learning
-
Meta-Learning
-
New architectures for lifelong learning
-
Determine new, challenging benchmark domains
-
Using Hierarchical Abstractions to perform lifelong reinforcement
learning (e.g., skills/options and state-space representations)
WORKSHOP ORGANIZERS
************************************************
- Shagun Sodhani (Facebook AI Research)
- Sarath Chandar (Polytechnique Montreal / Mila)
- Balaraman Ravindran (Indian Institute of Technology)
- Doina Precup (Mila / McGill University / DeepMind)
We look forward to reviewing your submissions!
Kind regards,
Shagun, Sarath, Ravi, Doina
Lifelong Learning Workshop organizers
(Contact: lifelongml at gmail.com)
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