> For the complete documentation index, see [llms.txt](https://paperhighlights.gitbook.io/iamkissg/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://paperhighlights.gitbook.io/iamkissg/master.md).

# PaperHighlights

## 2018-11

* [Learning Word Meta-Embeddings](https://github.com/iamkissg/papernotes/blob/master/2018/11/learning_word_meta-embeddings.md)
* [Frustratingly Easy Meta-Embedding – Computing Meta-Embeddings by Averaging Source Word Embeddings](https://github.com/iamkissg/papernotes/blob/master/2018/11/wme_av.md)

## 2018-06

* [Teaching Machines to Read and Comprehend](https://github.com/iamkissg/papernotes/blob/master/2018/6/teaching_machines_to_read_and_comprehend.md)
* [Attention-over-Attention Neural Networks for Reading Comprehension](https://github.com/iamkissg/papernotes/blob/master/2018/6/AoA_Reader.md)
* [Consensus Attention-based Neural Networks for Chinese Reading Comprehension](https://github.com/iamkissg/papernotes/blob/master/2018/6/CASReader.md)
* [Convolutional Neural Networks for Sentence Classification](https://github.com/iamkissg/papernotes/blob/master/2018/6/CNN_for_sentence_classification.md)
* [Deep contextualized word representations](https://github.com/iamkissg/papernotes/blob/master/2018/6/ELMo.md)
* [A Sensitivity Analysis of (and Practitioners’ Guide to) Convolutional Neural Networks for Sentence Classification](https://github.com/iamkissg/papernotes/blob/master/2018/6/a_sensitivity_analysis_of_cnn4sc.md)

## 2018-05

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

## 历史遗留笔记 (周记)

* [2018](https://github.com/iamkissg/PaperHighlights/tree/e748838bc232093f9685c22210ec5bff856cf116/2018/README.md)
  * [1](https://github.com/iamkissg/PaperHighlights/tree/e748838bc232093f9685c22210ec5bff856cf116/2018/1/README.md)
* [2017](https://github.com/iamkissg/PaperHighlights/tree/e748838bc232093f9685c22210ec5bff856cf116/2017/README.md)
  * [12](https://github.com/iamkissg/PaperHighlights/tree/e748838bc232093f9685c22210ec5bff856cf116/2017/12/README.md)
  * [11](https://github.com/iamkissg/PaperHighlights/tree/e748838bc232093f9685c22210ec5bff856cf116/2017/11/README.md)