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.
*The deadline has been extended to 10th June 2020 to accommodate the NeurIPS deadline extension.* IMPORTANT INFORMATION ************************************************ Website: <http://rlabstraction2016.wix.com/icml-2017> https://lifelongml.github.io/ Date: 17 or 18 July 2020 Location: Virtual Submission deadline: 10th June 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 *10**th* June 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: lifelon...@gmail.com)
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