Unverified50% confidenceFactExact time
信息瓶颈框架最初由Tishby与Pereira在1999年提出，Tishby与Schwartz-Ziv在2017年将其引入深度学习
1
Sources
50%
Confidence
Long-term
Relevance
7/12/2026
First Seen
Sources
The Theory of Deep Learning: Why Do Neural Networks Work? A Complete Overview of Theoretical Research
hackernewshackernews7/11/2026
Related Claims
UnverifiedThe systematic application of the chain rule to neural network training was not widely recognized in the deep learning field until Rumelhart, Hinton, and Williams' 1986 paper.62% similarUnverifiedHinton等人在深度学习取得突破之前已经在'神经网络寒冬'中坚持研究长达数十年61% similarUnverifiedThis deep learning introductory tutorial on Bilibili claims to be the 'most comprehensive neural network course,' covering everything from the mathematical principles of neural networks to TensorFlow framework applications to hands-on image recognition, with a three-day cycle.58% similarUnverified深度学习先驱Hinton、LeCun、Bengio在神经网络被主流AI学界视为死路的二十年间持续坚持58% similarUnverifiedJEPA (Joint Embedding Predictive Architecture) was proposed and championed by Meta's Chief AI Scientist Yann LeCun, and is a self-supervised learning architecture.58% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/494299API
curl https://kongchang.com/api/v1/knowledge/claims/494299MCP
get_claim(id=494299)