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 artifactREADME.md— this documentationconfig.json— architecture configurationtraining_args.json— default experiment settingsmodel.safetensors— initialization checkpoint
License
Released under apache-2.0. Review the source-data terms separately when this repository is used with external datasets.
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