#SelfSupervisedLearning
Live, measured metrics for the hashtag #SelfSupervisedLearning from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #selfsupervisedlearning
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mastodon.social (Mastodon public tags API) · fetched 2026-10-01 23:21 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.social (Mastodon public search API) · fetched 2026-10-01 23:21 UTCNo related tags with measured usage found for #selfsupervisedlearning.
Live pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-10-01 23:21 UTCEverything below is measured over the latest 19 public posts (spanning ~30677 hours).
Posting hours (UTC) — busiest: 07:00
Languages: English (15) · Italian (2) · German (1) · French (1)
Avg boosts / post: 0.7
Top of the latest posts
LLM Self Defense: By Self Examination LLMs Know They Are Being Tricked https://arxiv.org/abs/2308.07308 * LLM can generate harmful content in response to user prompts * even aligned language models are susceptible to adversarial attacks tha
From Julián Tachella @JulianTachella, posted on "Chi": ""Learning to reconstruct signals from binary measurements alone" We present theory and a #selfsupervised approach for learning to reconstruct incomplete and binary (!) measurements usi
🧠 New preprint by Fabian A. Mikulasch & @fzenke: Understanding Self-Supervised #Learning via #LatentDistribution Matching proposes a unifying theoretical framework for #SelfSupervisedLearning. The paper reframes #SSL as latent distribution
#selfsupervisedlearning across platforms
every network with a public tag surfaceFollow #selfsupervisedlearning straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/selfsupervisedlearning