Jeffrey Elman
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Jeffrey Locke Elman was an American psycholinguist and professor of cognitive science at the University of California, San Diego, where he specialized in the field of neural networks. His academic path led him to focus on how neural networks acquire and represent language and cognitive structure. In 1993, he proposed curriculum learning, a technique for training machine learning models by ordering training samples from simple to complex. This approach has since been widely applied in machine learning, including reinforcement learning contexts. He is known primarily for this contribution to neural network training methodology.
Updated 6 August 2026
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