# 5

- [Text Understanding with the Attention Sum Reader Network](/iamkissg/2018/5/text_understanding_with_asreader.md)
- [Effective Approaches to Attention-based Neural Machine Translation](/iamkissg/2018/5/effective_approaches_to_attention-based_nmt.md)
- [Distance-based Self-Attention Network for Natural Language Inference](/iamkissg/2018/5/distance-based_self-attention_network_for_nli.md)
- [Deep Residual Learning for Image Recognition](/iamkissg/2018/5/resnet.md)
- [U-Net: Convolutional Networks for Biomedical Image Segmentation](/iamkissg/2018/5/u-net.md)
- [Memory Networks](/iamkissg/2018/5/memory_networks.md)
- [Neural Machine Translation by Jointly Learning to Align and Translate](/iamkissg/2018/5/nmt-by-jointly-learning-to-align-and-translate.md)
- [Convolutional Sequence to Sequence Learning](/iamkissg/2018/5/convs2s.md)
- [An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling](/iamkissg/2018/5/tcn.md)
- [Graph Attention Networks](/iamkissg/2018/5/graph_attention_networks.md)
- [Attention is All You Need](/iamkissg/2018/5/attn-is-all-you-need.md)
- [DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding](/iamkissg/2018/5/disan.md)
- [A Structured Self-attentive Sentence Embedding](/iamkissg/2018/5/a_structured_self_attentive_sentence_embedding.md)
- [Hierarchical Attention Networks for Document Classification](/iamkissg/2018/5/hierarchical_attn_net_for_document_classification.md)
- [Grammar as a Foreign Language](/iamkissg/2018/5/grammar_as_a_foreign_language.md)
- [Show, Attend and Tell: Neural Image Caption Generation with Visual Attention](/iamkissg/2018/5/show_attent_and_tell.md)
- [Transforming Auto-encoders](/iamkissg/2018/5/transforming_auto-encoders.md)
- [Self-Attention with Relative Position Representations](/iamkissg/2018/5/self-attention_with_relative_position_representations.md)