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
内容与影响
摘要 · 节选
暂未获取摘要。可打开原文或 PDF，后续可基于全文生成更完整的速读。
逐年被引趋势
210
25
226
关键指标
3
被引次数 · OpenAlex
3.79
领域内被引倍数
同类平均 = 1
同类平均 = 1
前 6%
引用位次
同领域 · 同年份 · 同类型
同领域 · 同年份 · 同类型
89
参考文献
Google Scholar 与 OpenAlex 的被引统计范围不同，数值存在差异属正常。
AI 辅助阅读
依据：文献信息
论文问答
依据：文献信息 · 当前未解析全文
回答优先基于摘要、文献信息与可获取全文；依据不足时会明确说明。
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 3,760Michael 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
施引文献 3
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
Making waves: Model transfer as a key pathway to improving the generalization of machine learning in wastewater treatment engineering
被引 0Yuqi Wang, Wenchong Tian, Hong-Cheng Wang · Water Research · 2026
按被引量排序，此处列出前 3 条