# 113 Papers You Need to Know to Learn AI

- Source: 图灵人工智能 · 微信公众号
- Published: 2026-11-06T16:00:00.000Z
- RoboHot: https://robohot.news/en/items/cihvvbxf5igdzo6o12v9gipr6
- Original: https://mp.weixin.qq.com/s?__biz=MzIyMzk1MDE3Nw==&mid=2247680102&idx=5&sn=c1656d9e120303ce7ab4fbb9376d5aa3&chksm=e91a7ec20cf07411ea992a19eaa038ebe18df1cf9cd1c2ed954050a98f9774e4b61d6c6c9320&scene=126&sessionid=1793985329#rd

## Summary

A list of 113 papers for AI learners, organized by time and theme into stages including Foundational (1943–1969), Connectionist Revival (1986–1998), Deep Learning (2006–2016), Transformer and Pretraining (2016–2019), and Scaling (2020).