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# System prepended metadata

title: Colla competition - Sequoia

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# Colla competition - Sequoia

This is an outline of the proposal for a new competition for a new Continual Learning conference (CoLLA).
The competition would be centered around [Sequoia](https://www.github.com/lebrice/Sequoia), a framework built to facilitate research in both Continual Supervised Learning and Continual Reinforcement Learning).


- This could possibly involve hiring an intern?


## High-Level Deliverables
- Hosting solution
    - Need to have a way to run a user's method on the benchmarks of the competition (training + evaluation)
    - Previous Sequoia competition used a Docker-based hosting solution (managed by Florian Golemo) 
- Demo / cookiecutter repository
    - Existing repo is docker-based:  https://github.com/fgolemo/cl-workshop-cvpr21-docker
    - Would it be better to use Singularity?
- Sequoia updates
    - The Sequoia repo has already contains the benchmarks needed for the competition 
    - (Optional): Improve documentation, examples, tests, etc. 




## CoLLA

- effort by MILA (irina, sarath) and McGill (Doina) to host the first ever conference on 
    - Lifelong Learning / Continual Learning,
    - Meta-Learning
    - Multi-task Learning 
    - etc
- other parties are DeepMind (Pascanu), AMI (martha white), Google Brain (hugo larochelle)
- there will be a lot of eyes on the first conference
    - good publicity for IDT
    - also, it should be in Montreal...


## The competition

will be mostly a copy-pasta of [last year's competition](https://eval.ai/web/challenges/challenge-page/829/overview) 

- there will be 2 tracks, one supervised learning and one reinforcement learning one.
- competitors are encourage attempt both tracks with the same solution.
    - we are pushing the field build methods that are neither SL nor RL specific
- RL track = Monsterkong
    - main dep: meta_monsterkong
- SL track = CtRL
    - main dep: ctrl
- other important dep:
    - pytorch, pytorch lightning, others? 