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Text Understanding with the Attention Sum Reader Network Effective Approaches to Attention-based Neural Machine Translation Distance-based Self-Attention Network for Natural Language Inference Deep Residual Learning for Image Recognition U-Net: Convolutional Networks for Biomedical Image Segmentation Memory Networks Neural Machine Translation by Jointly Learning to Align and Translate Convolutional Sequence to Sequence Learning An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling Graph Attention Networks Attention is All You Need DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding A Structured Self-attentive Sentence Embedding Hierarchical Attention Networks for Document Classification Grammar as a Foreign Language Show, Attend and Tell: Neural Image Caption Generation with Visual Attention Transforming Auto-encoders Self-Attention with Relative Position Representations

PreviousTeaching Machines to Read and Comprehend NextText Understanding with the Attention Sum Reader Network

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