Sebastian Raschka • 1/3/2023

Influential Machine Learning Papers Of 2022

Read Original

This article provides a detailed analysis of the most influential machine learning papers published in 2022. It begins by highlighting the top three papers, including ConvNeXt, a convolutional architecture that outperformed vision transformers, and MaxViT, which addresses computational complexity in transformers. The author also lists an extended selection of seven additional notable papers, offering insights into the latest breakthroughs and trends in AI and deep learning research.

0 comments
#Machine Learning #Convolutional Neural Networks #Convnext
Influential Machine Learning Papers Of 2022

Comments

No comments yet

Be the first to share your thoughts!

Browser Extension

Get instant access to AllDevBlogs from your browser

Top of the Week

1
Quoting Thariq Shihipar
Simon Willison • 2 votes
2
Using Browser Apis In React Practical Guide
Jivbcoop • 2 votes
3
Better react-hook-form Smart Form Components
Maarten Hus • 2 votes
4
Top picks — 2026 January
Paweł Grzybek • 1 votes
5
In Praise of –dry-run
Henrik Warne • 1 votes
6
Deep Learning is Powerful Because It Makes Hard Things Easy - Reflections 10 Years On
Ferenc Huszár • 1 votes
7
Vibe coding your first iOS app
William Denniss • 1 votes
8
AGI, ASI, A*I – Do we have all we need to get there?
John D. Cook • 1 votes
9
Dew Drop – January 15, 2026 (#4583)
Alvin Ashcraft • 1 votes