Sebastian Ruder✓ Add us as a preferred source on Google
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Make a deal with Sebastian Ruder
🔒 Paid proposals held safely in escrow — released only when the work's approved.
Followers
98.7K
Posts
4.3K
Following
1.4K
Account age
12 yrs
💰 Suggested sponsorship rate
$553 – $898 / sponsored post
Estimated from audience size & typical reach — every deal is negotiable and held in SocialDB escrow.
🎁 Free analysisfor Sebastian Ruder
📊 Post performance
105.8K
Avg views / post
1.1×
Reach vs followers
Sep 2014
On X since
🔥 Top post: I've decided to leave Google DeepMind to pursue a new adventure. · 105.8K views
📊 Activity & format
Posting cadence
0.06 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly images
Recent: 0 video · 9 image · 9 text.
Follower / following
68×
Follows 1.4K back. A strong ratio — an audience that follows them, not a follow-for-follow network.
Verification
✓ X Premium
A paid X Premium (Blue) verified account.
Recent posts
View on X ↗
ML and NLP Research Highlights of 2021
These are the research areas and papers I found most exciting & inspiring in 2021.
Types of ML / NLP Papers
10 Things You Need to Know About BERT and the Transformer Architecture That Are Reshaping the AI Landscape
This super comprehensive post covers most things that are important in current NLP including BERT, transfer and avocado chairs 🥑
b…
Recent Advances in Language Model Fine-tuning
New blog post that takes a closer look at fine-tuning, the most common way large pre-trained language models are used in practice.
ML and NLP Research Highlights of 2020
It's been inspiring to look back on all the exciting advances that happened despite such a tumultuous year. Here's a selection of my highlights.
Why You Should Do NLP Beyond English
7000+ languages are spoken around the world but NLP research has mostly focused on English. In this post, I give an overview of why you should work on languages other than English.
10 Tips for Research and a PhD
I've been asked in the past to provide advice on doing research. Here are 10 tips that worked well for me and will hopefully also be useful to others.
10 ML & NLP Research Highlights of 2019
New blog post on ten ML and NLP research directions that I found exciting and impactful in 2019.
https://t.co/wChQ5qnxKd
NLP Year in Review — 2019
An extensive list of interesting publications, creative and societal applications, tools and datasets, articles, and resources of 2019 by
@omarsar0.
Most of the world’s text is not in English. We are releasing MultiFiT to train and fine-tune language models efficiently in any language.
Post: https://t.co/LXMo4KGcVS
Paper: https://t.co/3kh3fpfKcj
With @eisenjulian @PiotrCzapla Marcin K…
My PhD thesis Neural Transfer Learning for Natural Language Processing is now online. It includes a general review of transfer learning in NLP as well as new material that I hope will be useful to some.
https://t.co/PxfVRYuyjx
Types of ML / NLP Papers
10 Things You Need to Know About BERT and the Transformer Architecture That Are Reshaping the AI Landscape
This super comprehensive post covers most things that are important in current NLP including BERT, transfer and avocado chairs 🥑
b…
Recent Advances in Language Model Fine-tuning
New blog post that takes a closer look at fine-tuning, the most common way large pre-trained language models are used in practice.
ML and NLP Research Highlights of 2020
It's been inspiring to look back on all the exciting advances that happened despite such a tumultuous year. Here's a selection of my highlights.
Why You Should Do NLP Beyond English
7000+ languages are spoken around the world but NLP research has mostly focused on English. In this post, I give an overview of why you should work on languages other than English.
10 Tips for Research and a PhD
I've been asked in the past to provide advice on doing research. Here are 10 tips that worked well for me and will hopefully also be useful to others.
10 ML & NLP Research Highlights of 2019
New blog post on ten ML and NLP research directions that I found exciting and impactful in 2019.
https://t.co/wChQ5qnxKd
NLP Year in Review — 2019
An extensive list of interesting publications, creative and societal applications, tools and datasets, articles, and resources of 2019 by
@omarsar0.
Most of the world’s text is not in English. We are releasing MultiFiT to train and fine-tune language models efficiently in any language.
Post: https://t.co/LXMo4KGcVS
Paper: https://t.co/3kh3fpfKcj
With @eisenjulian @PiotrCzapla Marcin K…
My PhD thesis Neural Transfer Learning for Natural Language Processing is now online. It includes a general review of transfer learning in NLP as well as new material that I hope will be useful to some.
https://t.co/PxfVRYuyjx
💡 Facts
🗓️Joined X in 2014 — 12 years ago.
👁️Averages 105.8K views per post.
📤Posts about 0.1× per week.
💬1.73% engagement rate.
🏅Earned the 10K Followers for passing 10K followers.
🕵️ Fake follower check
Estimated46/100
Fair
Credibility score
69%
Mixed
Real audience
Medium
Fake-follower risk
High
Data confidence
- Est. 69% real, active audience · Medium fake-follower risk.
- Low engagement (~1.1× of followers engage each post) — a sign of an inflated or inactive audience.
- Organic base — far more followers than accounts it follows.
- Verified account.
- Established account (12+ years old).
- 1.73% 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
Research Scientist @AIatMeta MSL • Ex @Cohere @GoogleDeepMind
📸 Gallery
🔀 Audience overlap
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
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