“Reading table”版本间的差异

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|2015/11/05 || Chao Xing, Xiaoxi Wang||
 
|2015/11/05 || Chao Xing, Xiaoxi Wang||
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* Generative Image Modeling Using Spatial LSTMs [[http://arxiv.org/pdf/1506.03478v2.pdf pdf]]
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* Character-level Convolutional Networks for Text Classification [[http://arxiv.org/pdf/1509.01626.pdf pdf]]
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|2015/11/20 || qixinWang||
 
* Generative Image Modeling Using Spatial LSTMs [[http://arxiv.org/pdf/1506.03478v2.pdf pdf]]
 
* Generative Image Modeling Using Spatial LSTMs [[http://arxiv.org/pdf/1506.03478v2.pdf pdf]]
 
* Character-level Convolutional Networks for Text Classification [[http://arxiv.org/pdf/1509.01626.pdf pdf]]
 
* Character-level Convolutional Networks for Text Classification [[http://arxiv.org/pdf/1509.01626.pdf pdf]]

2015年11月20日 (五) 03:41的版本

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(ACL 2015 short paper) [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]]
2015/10/14 Tianyi Luo, Dongxu Zhang, Chao Xing
  • MEMORY NETWORKS(ICLR 2015) [pdf]
  • End-To-End Memory Networks(NIPS 2015) [pdf]
2015/10/20 Tianyi Luo, Xiaoxi Wang
  • The Kendall and Mallows Kernels for Permutations (ICML 2015) [pdf]
  • The ordering of expression among a few genes can provide simple cancer biomarkers and signal BRCA1 mutations (BMC Bioinformatics) [pdf]
  • Reasoning about Entailment with Neural Attention [pdf]
2015/10/28 Lantian Li
  • Binary Code Ranking with Weighted Hamming Distance [pdf]
2015/11/05 Chao Xing, Xiaoxi Wang
  • Generative Image Modeling Using Spatial LSTMs [pdf]
  • Character-level Convolutional Networks for Text Classification [pdf]
2015/11/20 qixinWang
  • Generative Image Modeling Using Spatial LSTMs [pdf]
  • Character-level Convolutional Networks for Text Classification [pdf]
取自“http://cslt.org/mediawiki/index.php?title=Reading_table&oldid=17615”