ML Research Hub – Telegram
ML Research Hub
32.7K subscribers
4.01K photos
229 videos
23 files
4.32K links
Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.

Admin: @HusseinSheikho || @Hussein_Sheikho
Download Telegram
🔥 EfficientViT: Multi-Scale Linear Attention for High-Resolution Dense Prediction

🖥 Github: https://github.com/mit-han-lab/efficientvit

📚 Paper: https://arxiv.org/abs/2205.14756

Tutorial: https://www.jetson-ai-lab.com/vit/tutorial_efficientvit.html

🟢 Telegram: https://news.1rj.ru/str/DataScienceT
2👍2
Forwarded from Shohruh
This media is not supported in your browser
VIEW IN TELEGRAM
Artificial Intelligence && Deep Learning
Channel for who have a passion for -

* Artificial Intelligence
* Machine Learning
* Deep Learning
* Data Science
* Computer vision
* Image Processing
* Research Papers

https://news.1rj.ru/str/DeepLearning_ai

https://news.1rj.ru/str/MachineLearning_Programming
SoftEDA: Rethinking Rule-Based Data Augmentation with Soft Labels

🖥 Github: https://github.com/IIPL-CAU/SoftEDA

📕 Paper: https://arxiv.org/pdf/2402.05591v1.pdf

🔥 Datasets: https://paperswithcode.com/dataset/cola

🟢 Telegram: https://news.1rj.ru/str/DataScienceT
👍2
Leveraging SAM for Single-Source Domain Generalization in Medical Image Segmentation

📄 https://arxiv.org/pdf/2401.02076.pdf

💻 https://github.com/SARIHUST/SAMMed

🟢 Telegram: https://news.1rj.ru/str/DataScienceT
👍3
SQ-Transformer: Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings

🖥 Github: https://github.com/jiangyctarheel/sq-transformer

📕 Paper: https://arxiv.org/pdf/2402.06492v1.pdf

🔥Datasets: https://paperswithcode.com/dataset/wmt-2014

🟢 Telegram: https://news.1rj.ru/str/DataScienceT
👍2
Please open Telegram to view this post
VIEW IN TELEGRAM
👍41
Please open Telegram to view this post
VIEW IN TELEGRAM
👍4
Please open Telegram to view this post
VIEW IN TELEGRAM
👍2
Please open Telegram to view this post
VIEW IN TELEGRAM
👍4❤‍🔥3