Difference between revisions of "Reading table"

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* Sequence to Sequence Learning with Neural Networks [http://papers.nips.cc/paper/5346-information-based-learning-by-agents-in-unbounded-state-spaces pdf]
 
* Sequence to Sequence Learning with Neural Networks [http://papers.nips.cc/paper/5346-information-based-learning-by-agents-in-unbounded-state-spaces pdf]
 
* Neural Machine Translation by Jointly Learning to Align and Translate [http://arxiv.org/abs/1409.0473 pdf]
 
* Neural Machine Translation by Jointly Learning to Align and Translate [http://arxiv.org/abs/1409.0473 pdf]
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|2015/08/05 ||Dongxu Zhang||
 
* some related to sequence to sequence[ pdf]
 
 
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|2015/08/05 ||Tianyi Luo||  
 
|2015/08/05 ||Tianyi Luo||  
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|2015/08/05 ||Dongxu Zhang||
 
|2015/08/05 ||Dongxu Zhang||
* Describing Multimedia Content using Attention-based Encoder-Decoder Networks[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/e/e0/Describing_Multimedia_Content_using_Attention-based_Encoder-Decoder_Networks.pdf]]
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* Describing Multimedia Content using Attention-based Encoder-Decoder Networks[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/e/e0/Describing_Multimedia_Content_using_Attention-based_Encoder-Decoder_Networks.pdf]
* Attention-Based Models for Speech Recognition[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/58/Attention-Based_Models_for_Speech_Recognition.pdf]] details in speech recognition.
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* Attention-Based Models for Speech Recognition[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/58/Attention-Based_Models_for_Speech_Recognition.pdf] details in speech recognition.
* Neural Machine Translation by Joint Learning to Align and Translate[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c3/Neural_Machine_Translation_by_Joint_Learning_to_Align_and_Translate.pdf]] details in machine translation.
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* Neural Machine Translation by Joint Learning to Align and Translate[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c3/Neural_Machine_Translation_by_Joint_Learning_to_Align_and_Translate.pdf] details in machine translation.
 
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|2015/08/07 ||Chao Xing||  
 
|2015/08/07 ||Chao Xing||  

Revision as of 02:28, 11 August 2015

Date Speaker Materials
2014/10/22 Zhang Dong Xu Why RNN? PPT paper 1,paper 2
2014/12/8 Liu Rong Yu Zhao, Zhiyuan Liu, Maosong Sun. Phrase Type Sensitive Tensor Indexing Model for Semantic Composition. AAAI'15. pdf
Yang Liu, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun. Topical Word Embeddings. AAAI'15. pdfcode
Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, Xuan Zhu. Learning Entity and Relation Embeddings for Knowledge Graph Completion. AAAI'15. pdfcode
2015/07/10 Liu Rong
  • Context-Dependent Translation Selection Using Convolutional Neural Network [1]
  • Syntax-based Deep Matching of Short Texts [2]
  • Convolutional Neural Network Architectures for Matching Natural Language Sentences[3]
  • LSTM: A Search Space Odyssey [4]
  • A Deep Embedding Model for Co-occurrence Learning [5]
  • Text segmentation based on semantic word embeddings[6]
  • semantic parsing via paraphrashings[7]
2015/07/22 Dong Wang
2015/07/29 Xiaoxi Wang
  • Sequence to Sequence Learning with Neural Networks pdf
  • Neural Machine Translation by Jointly Learning to Align and Translate pdf
2015/08/05 Tianyi Luo
  • A Hierarchical Knowledge Representation for Expert Finding on Social Media [pdf]
2015/08/05 Dongxu Zhang
  • Describing Multimedia Content using Attention-based Encoder-Decoder Networks[8]
  • Attention-Based Models for Speech Recognition[9] details in speech recognition.
  • Neural Machine Translation by Joint Learning to Align and Translate[10] details in machine translation.
2015/08/07 Chao Xing
  • Neural Word Embedding as Implicit Matrix Factorization [pdf]
  • Matrix factorization techniques for recommender systems [[11]]