lucidrains/LVMAE-pytorch

differentiable top-k

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#2 opened on Nov 25, 2024

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help wanted

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Description

can't seem to find in the paper how they approached the differentiable top-k

Contributor guide

Research direction
Look for discussions of differentiable top k in the paper (Extending Video Masked Autoencoders to 128 frames) or in related works like 'Differentiable Top k' by Xie et al. Check the references and see if there is an implementation or note in the repository.
Tech stack
pythonpytorch
Domain
machine learningaicomputer vision
Issue type
Research
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
1
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
Under 1 hour
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Needs investigation
Prerequisites
PythonPyTorch
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
60