ICML Conference Add us as a preferred source on Google
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Make a deal with ICML Conference
👋 Unclaimed listing — auto-generated from public data; rates are estimates, not set by the creator. 🔒 Paid proposals held safely in escrow — released only when the work's approved.
This is an unclaimed, auto-generated listing. It was built only from ICML Conference’s publicly available X information. ICML Conference has not claimed, verified, or endorsed it, and is not affiliated with, sponsored by, or a partner of SocialDB — no partnership or endorsement is implied, and any prices shown are estimates, not set by the creator.
Followers
87.5K
Posts
1.4K
Following
11
Account age
15 yrs
💰 Suggested sponsorship rate
$490 – $796 / sponsored post
Estimated from audience size & typical reach — every deal is negotiable and held in SocialDB escrow.
🎁 Free analysisfor ICML Conference
Known for
204.7K views
Congratulations to the best paper award winners
187.9K views
Clarification concerning Large Language Models in the Ethics Policy in the #ICML2023 Call for Papers:
https://t.co/GpapPPCf4l
134.5K views
🎉ICML 2026 Call for Papers (& Position Papers) has arrived!🎉
A few key changes this year:
- Attendance for authors of accepted papers is optional
- Originally submitted version of accepted papers will be made public
- Cap on # of papers one can be reciprocal reviewer for
...
📊 Post performance
Recent posts · views
Jan 5latest
134.5K
Avg views / post
75.6K–187.9K
Typical post (views)
1.5×
Reach vs followers
80/100
Very consistent reach
Oct 2011
On X since
Half of recent posts land between 75.6K and 187.9K views (median 134.5K) — a dependable floor a sponsored post can count on.
🔥 Top post: Congratulations to the best paper award winners · 204.7K views
📊 Activity & format
Posting cadence
0.04 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly text
Recent: 0 video · 4 image · 14 text.
Follower / following
8K×
Follows 11 back. A strong ratio — an audience that follows them, not a follow-for-follow network.
Recent posts
View on X ↗
🔥 Top post
Congratulations to the best paper award winners
🎉ICML 2026 Call for Papers (& Position Papers) has arrived!🎉
A few key changes this year:
- Attendance for authors of accepted papers is optional
- Originally submitted version of accepted papers will be made public
- Cap on # of paper…
ICML decisions are out. See you in Vienna.
ICML 2023 conference videos are available here:
Congratulations to Richard Zemel, @LedellWu, @kswersk, Toni Pitassi, Cynthia Dwork for winning the #ICML2023 Test-of-Time Award on their paper "Learning Fair Representations"!
Announcement: https://t.co/G5enG3G5Do
Paper:
Announcing the Outstanding Paper Awards at #ICML2023
https://t.co/3cN31sCmfY
Congratulations to all the winners!
Clarification concerning Large Language Models in the Ethics Policy in the #ICML2023 Call for Papers:
https://t.co/GpapPPCf4l
🎤#icml2022 video presentations are now available. 🎊🎆
The Call for Papers for #ICML2022 is out, and will open for submissions on Jan 10, 2022.
Submission deadlines:
• Abstract: Jan 20, 2022 AOE
• Full paper: Jan 27, 2022 AOE
#MachineLearning #DeepLearning #CFP #Baltimore
📣#ICML2021 videos are now up.
#MachineLearning #DataScience #AI
#aiethics
https://t.co/TDPyyMQ0Pv
🧵We are pleased to announce the ICML 2021 paper awards. Congratulations to all authors!
Test of the Time Award from ICML 2011:
• Max Welling and Yee Whye Teh
📜Bayesian Learning via Stochastic Gradient Langevin Dynamics
The Call for Papers for #ICML2021 is out, and the submission site is open.
Submission deadlines:
• Abstract: Jan 28, 2021 AOE
• Full paper: Feb 04, 2021 AOE
#MachineLearning #DeepLearning #CFP
💡 Facts
🗓️Joined X in 2011 — 15 years ago.
👁️Averages 134.5K views per post.
📤Posts about 0× per week.
💬0.5% engagement rate.
🏅Earned the 10K Followers for passing 10K followers.
🕵️ Fake follower check
Estimated60/100
Fair
Credibility score
82%
Real
Real audience
Low
Fake-follower risk
High
Data confidence
- Est. 82% real, active audience · Low fake-follower risk.
- Engagement (~1.5× of followers engage each post) is around typical for X.
- Organic base — far more followers than accounts it follows.
- Established account (15+ years old).
- 0.5% engagement — below the ~8.8% typical for this size.
Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.
About
Int'l Conf on Machine Learning • This account not monitored, Contact: http://icml.cc/Help/Contact • LinkedIn: https://www.linkedin.com/company/icmlconf/
📸 Gallery
🔀 Audience overlap
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
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