首页> 外文会议>International joint conference on natural language processing;Conference on empirical methods in natural language processing >Invited Speaker: Kyunghyun Cho, New York University Curiosity-driven Journey into Neural Sequence Models
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Invited Speaker: Kyunghyun Cho, New York University Curiosity-driven Journey into Neural Sequence Models

机译:特邀演讲者:纽约大学Cho Kyunghyun Cho,好奇心驱动的神经序列模型之旅

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In this talk, I take the audience on a tour of my earlier and recent experiences in building neural sequence models. I start from the earlier experience of using a recurrent net for sequence-to-sequence learning and talk about the attention mechanism. I discuss factors behind the success of these earlier approaches, and how these were embraced by the community even before they sota'd. 1 then move on to a more recent research direction in unconventional neural sequence models that automatically learn to decide on the order of generation.
机译:在本次演讲中,我带观众参观了我在构建神经序列模型方面的较早和最近的经验。我从使用递归网络进行序列到序列学习的早期经验开始,并讨论了注意力机制。我将讨论这些早期方法成功的背后因素,以及这些因素在被社区接受之前是如何被接受的。 1然后转到非常规神经序列模型的最新研究方向,该模型自动学习确定生成顺序。

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