研究论文
Overcoming classic challenges for artificial neural networks by providing incentives and practice
Kazuki Irie, Brenden M. Lake
Harvard University Princeton University
来源Nature Machine Intelligence
年份2025
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学术脉络
学科主题
计算机 / AINeural Networks and Applications
Face and Expression Recognition · Machine Learning and Algorithms
参考文献 89
Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem
被引 3,830Michael McCloskey, Neal J. Cohen · The Psychology of learning and motivation/The psychology of learning and motivation · 1989
How Children Learn the Meanings of Words
被引 1,930Paul Bloom · The MIT Press eBooks · 2000
Rethinking Eliminative Connectionism
被引 352Gary Marcus · Cognitive Psychology · 1998
此处列出前 3 条
引用本文 3
Making waves: Model transfer as a key pathway to improving the generalization of machine learning in wastewater treatment engineering
被引 2Yuqi Wang, Wenchong Tian, Hong-Cheng Wang · Water Research · 2026
Population codes for context-dependent decision-making
被引 0Shinichiro Kira, Stefano Panzeri · Current Opinion in Neurobiology · 2026
PINE: Planning and Identifying Neural Network for Thinking Fast and Slow
被引 0Håkon Tønnessen, Md Zia Uddin, Jim Tørresen · 2025
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