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Adding SSL-EY from (https://arxiv.org/abs/2310.01012, https://neurips.cc/virtual/2023/80864)

For the moment I've implemented the simple version but it should in principle plug into multicrop like SWAV.

Will have a stab at running the shorter benchmarks shortly.

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vturrisi commented Dec 6, 2023

hey @jameschapman19 thanks for contributing. I'll try to start checking your code soon.

@@ -0,0 +1,81 @@
defaults:
- _self_
- augmentations: ssley.yaml
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You already have the augmentations below, either remove this or move the augmentations to a separate file (both are fine)

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Good spot - a heads up I think this is also the case for scripts/pretrain/imagenet-100/vicreg.yaml in that case.

This method should plug in wherever VICReg is used. In many ways the benefit of the loss function is it's got a lot of the nice properties of VICReg but without needing to tune the three loss function parameters.

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No idea why VICReg is like that haha. I'm fine with having a separate file for the augmentations or having it merged with the main file. Should also prob fix VICReg after that.

@vturrisi vturrisi self-assigned this Dec 6, 2023
@jameschapman19
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@vturrisi - just working through ironing things out perhaps a premature PR I just wanted to get a hang of the CI. Will give you a shout when I'm passing more of these.

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vturrisi commented Dec 6, 2023

@jameschapman19 no worries, take your time :) and ping me when you are done

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codecov bot commented Dec 6, 2023

Codecov Report

Merging #378 (9e8ad7e) into main (0eadf3d) will increase coverage by 0.12%.
Report is 1 commits behind head on main.
The diff coverage is 93.75%.

❗ Current head 9e8ad7e differs from pull request most recent head 11eac92. Consider uploading reports for the commit 11eac92 to get more accurate results

Additional details and impacted files
Flag Coverage Δ *Carryforward flag
cpu 80.02% <93.75%> (+0.15%) ⬆️
dali 38.81% <ø> (ø) Carriedforward from 0eadf3d

*This pull request uses carry forward flags. Click here to find out more.

Files Coverage Δ
solo/losses/__init__.py 100.00% <100.00%> (ø)
solo/methods/__init__.py 100.00% <100.00%> (ø)
solo/methods/ssley.py 100.00% <100.00%> (ø)
solo/losses/ssley.py 75.00% <75.00%> (ø)

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2 participants