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Network Architecture Collections (TBA)

http://web.stanford.edu/class/cs224n/reports.html

Collected by Sung Kim

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Visual Question Answering,

Stefanie Anna Baby, Ashwini Pokle

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Pointer-Generator Network Summarization On TextRank-Preprocessed Documents Long Viet Tran

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Automatic Lyrics-Based Music Genre Classification, Zhao Kezhen, Ruoxi Zhang, Peiling Lu

http://web.stanford.edu/class/cs224n/reports/6839297.pdf

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Neural Abstractive Summarization On Gigaword

Chenduo Huang, Matthew Donghyun Kim

http://web.stanford.edu/class/cs224n/reports/6838669.pdf

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Dank Learning: Generating Memes Using Deep Neural Networks

Lawrence Peirson, Emine Meltem Tolunay

http://web.stanford.edu/class/cs224n/reports/6909159.pdf

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Training Dialog Agents to Negotiate, Kerem Goksel

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Stacked Attention for Visual Question Answering Bingbin Liu, Weini Yu

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Are you sure of your answer? Think again. Lakshmi Manoharan, Arjun Parthipan

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Neural Models for Email Response Prediction Tucker James Leavitt

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IMAGAN: Learning Images from Captions, Samir Sen, Trevor Tsue, Karan Singhal

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Generalizing word vectors in a multi model approach Kareem Hegazy

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Attention On Attention: Architectures for Visual Question Answering (VQA) Jasdeep Singh, Vincent Ying

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Representing Words with Only Subword Information Alexia Wenxin Xu

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Natural Language Guided Reinforcement Learning for Playing Snake in Arbitrary Dimensions Alexander Seutin

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Predicting Funny Yelp Reviews Christina Ashley Pan, John Martin Poothokaran

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Generating SQL queries from natural language Ikshu Bhalla, Archit Gupta

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Step by Step approach to build a model for SQuAD Anjan Dwaraknath

http://web.stanford.edu/class/cs224n/reports/6879600.pdf

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Answering Questions with CharCNN and Bi-directional Attention Flow Connie Xiao, Cindy Ding Jiang

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Character CNN and Self—Attention for SQuAD Jianqing Yang

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Recurrent Neural Networks with Attention for Question Answering Ben Hannel

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R-NET with BiDAF for Reading Comprehension Jingwei Ji, Zibo Gong

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Question Answering On SQuAD Cagan Alkan, Beliz Gunel

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Bi-Directional Attention & Self Attention for SQUAD

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Machine Reading Comprehension On the SQuAD Dataset Using R-NET Jason Mian Luo, William Zeng

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Paying Attention to SQuAD: Exploring Bidirectional Attention Flow Lucy Li, Heather Rae Blundell

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Combining Bidirectional Attention Flow and Attention Pooling Pointer Networks for High Performance on the SQuAD Challeng Kiko Ilagan, Anoop Manjunath

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Question Answering on the SQuAD Dataset Laëtitia Shao, Ben Zhou