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Baidu Research

Baidu Research✓ Add us as a preferred source on Google

X @baiduresearch
🔄 Data last refreshed 2 months ago
This is an unclaimed, auto-generated listing. It was built only from Baidu Research’s publicly available X information. Baidu Research 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.
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Followers
67.9K
Posts
1.8K
Following
131
Account age
12 yrs
💰 Suggested sponsorship rate
🎁 Free analysisfor Baidu Research

📊 Activity & format

Posting cadence
0.06 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly images
Recent: 4 video · 11 image · 3 text.
Follower / following
519×
Follows 131 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 ↗
Introducing ERNIE-ViLG 2.0, a 24B text-to-image model with knowledge-enhanced Mixture-of-Denoising-Experts that obtains SOTA results on MS-COCO. This is also the largest text-to-image model at present. Paper: https://t.co/YpSDABMvPI Demo @… ❤ 547🔁 122 We are excited to introduce PCL-BAIDU Wenxin, or ERNIE 3.0 Titan, a pre-training language model with 260B parameters at #2021BaiduCreate. We trained our model on unstructured data and knowledge graphs, and it achieves SOTA in 60+ #NLP task… ❤ 206🔁 45 PaddlePaddle 2.0 is now available! The latest version of our #DeepLearning platform features dynamic computational graphs, a new API system, distributed training for trillion-parameter models, and better hardware support. Read more below. ❤ 1.7K🔁 92 Time for another benchmark competition! We're excited to co-organize the Neural Architecture Search workshop at #CVPR2021. There will be 3 competition tracks: supernet, performance estimation & unseen data—submit by May 17 to enter the… ❤ 861🔁 37 Registration for the 2021 Language & Intelligence Challenge is now open! This year's competition is based on LUGE, an open-source project of Chinese NLP benchmarks. Winners will share an RMB 300,000 prize pool, register by May 12th to … ❤ 1.2K🔁 53 Calling all researchers, academics, and colleagues in the fields of NLP & document image understanding: we're seeking papers for our Workshop on Document Image & Language at the ICDAR 2021 in Lausanne, CH. Best paper receives a $10… ❤ 760🔁 46 ▶ Understanding the future of #tech is more important than ever. That's why we've released our prediction for the top 10 tech trends to watch in 2021, summarized below in a video synthesized by our #AI. See the full scope of the trends here:… ❤ 1.6K🔁 120 ▶ Introducing PP-YOLO, a new implementation of object detector based on PaddlePaddle. Compared with YOLOv4, PP-YOLO improves mAP on COCO to 45.9% and runs at 72.9 fps on Tesla V100. #ComputerVision #AI Paper: https://t.co/uHWECwzOf5 GitHub:… ❤ 405🔁 129 Announcing the new #PaddlePaddle at the Wave Summit+ 2019 in Beijing today! Baidu #DL platform brings 21 significant new features (100+ models, Paddle Lite 2.0, graph & federated learning frameworks) to help developers build industry-g… ❤ 392🔁 16 ▶ By incorporating more advanced training tasks, we've developed ERNIE 2.0, a continual pre-training framework for language understanding. The model built on this framework has outperformed BERT and XLNet on 16 #NLP tasks in Chinese and Engl… ❤ 170🔁 54 ▶ Our team has reached a new milestone in speech synthesis with the release of ClariNet, the first fully end-to-end TTS model that directly converts text into waveform with a single neural network. It generates all samples of audio waveform … ❤ 357🔁 124 Our team is open sourcing NCRF, a #DeepLearning based algorithm for more accurate detection of tumor cells. Read more about it here: https://t.co/1guDoqL0SA #AI #MachineLearning ❤ 242🔁 114

💡 Facts

🗓️Joined X in 2014 — 12 years ago.
📤Posts about 0.1× per week.
💬1.03% engagement rate.
🏅Earned the 10K Followers for passing 10K followers.

🕵️ Fake follower check

Estimated
61/100
Fair Credibility score
85%
Real Real audience
Low Fake-follower risk
High Data confidence
  • Est. 85% real, active audience · Low fake-follower risk.
  • Limited engagement data — score uses the signals available.
  • Organic base — far more followers than accounts it follows.
  • Verified account.
  • Established account (12+ years old).
  • 1.03% 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

Baidu Research brings together top talent from around the world to focus on future-looking fundamental researches in #AI #deeplearning #machinelearning.

📸 Gallery

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