#InterpretableML
Live, measured metrics for the hashtag #InterpretableML from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #interpretableml
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.online (Mastodon public tags API) · fetched 2026-10-29 10:01 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.online (Mastodon public search API) · fetched 2026-10-29 10:01 UTCNo related tags with measured usage found for #interpretableml.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-29 10:01 UTCEverything below is measured over the latest 8 public posts (spanning ~32751 hours).
Posting hours (UTC)
Languages: English (8)
Avg boosts / post: 1.1
Top of the latest posts
Chandan Singh (@csinva) NeurIPS 채택 논문을 최신 에이전트로 재실행한 결과, 해석 가능한 모델(interpretable models) 피팅에서 3가지 유의미한 개선을 발견했다고 발표했습니다. 개선 사항은 imodels 라이브러리에서 사용할 수 있습니다. https://x.com/csinva/status/2107479421854613523 #interpretableml #agents #imodels #n
Interested in interpretable ML, particularly for LLMs? eg "causal" interpretability, as in the "OthelloGPT" paper [1]? Let's connect! 1. https://arxiv.org/abs/2210.13382 #ai #machinelearning #interpretability #interpretableml #mechanisticin
This book is golden! (and I think I'll have to read it again because it's so full of information!) For anyone trying to understand their models, Serg Masís' book "Interpretable Machine Learning with #Python" provides the right mix of theory
#interpretableml across platforms
every network with a public tag surfaceFollow #interpretableml 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/interpretableml