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Add reading.md, README.md, config.json, training_args.json, model.safetensors
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metadata
license: apache-2.0
tags:
  - research-notes
  - self-supervised

Self Supervised: reading plan

Overview

A structured set of research notes on Self Supervised, with concrete evaluation references and open questions. Plans and hypotheses are kept separate from completed results.

Expect rough edges — this is a working sketch, not a polished release.


What Is Covered

  • the scope of the research question and likely confounders
  • a proposed comparison with matched baselines
  • concrete evaluation context such as task-appropriate public benchmarks named in the main note
  • reproducibility checks, failure modes, and open questions
  • topic-relevant references

Scope And Limitations

The note is intentionally exploratory. It does not claim benchmark improvements, completed ablations, released code, or a trained checkpoint. References and proposed datasets provide a starting point for verification rather than evidence that the study has already been run.


Related Work

  • survey-level references come first
  • benchmark papers follow
  • negative results are noted where they exist

Open Questions

  • comparability of baselines under matched capacity
  • minimum data exposure for a usable signal
  • confounders that would invalidate a naive comparison

Files

  • reading.md — primary artifact
  • README.md — this documentation
  • config.json — architecture configuration
  • training_args.json — default experiment settings
  • model.safetensors — initialization checkpoint

License

Released under apache-2.0. Review the source-data terms separately when this repository is used with external datasets.