View source for Spring 2017 CS292F Syllabus

*04/04 Introduction, logistics, NLP, and deep learning.
*04/06 Tips for a successful class project
*04/11 Word embeddings (HW1 out) 
** [https://ronan.collobert.com/pub/matos/2008_nlp_icml.pdf A Unified Architecture for Natural Language Processing: Deep Neural Networks with Multitask Learning,  Collobert and Weston, ICML 2008]
** [http://papers.nips.cc/paper/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf Distributed Representations of Words and Phrases and their Compositionality, T Mikolov, I Sutskever, K Chen, GS Corrado, J Dean, NIPS 2013]
** [http://www.anthology.aclweb.org/D/D14/D14-1162.pdf Glove: Global Vectors for Word Representation, J Pennington, R Socher, CD Manning - EMNLP, 2014]
*04/13 Knowledge base embeddings
** [http://machinelearning.wustl.edu/mlpapers/paper_files/ICML2011Nickel_438.pdf A three-way model for collective learning on multi-relational data, M Nickel, V Tresp, HP Kriegel, ICML 2011]
** [http://papers.nips.cc/paper/5071-translating-embeddings-for-modeling-multi-relational-data.pdf Translating embeddings for modeling multi-relational data, A Bordes, N Usunier, A Garcia-Duran, NIPS 2013]
** [https://arxiv.org/pdf/1503.00759.pdf A Review of Relational Machine Learning for Knowledge Graphs, Nichel et al., Proceedings of the IEEE]
*04/18 Neural network basics (Project proposal due)
*04/20 Neural networks language models 
*04/25 RNNs (HW1 due and HW2 out)	 
*04/27 LSTMs/GRUs
** [https://arxiv.org/pdf/1406.1078.pdf Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation, Cho et al., EMNLP 2014]
** [https://papers.nips.cc/paper/5346-sequence-to-sequence-learning-with-neural-networks.pdf Sequence to Sequence Learning with Neural Networks, Sutskever et al., NIPS 2014]
*05/02 Convolutional Neural Networks (1)
** [http://ronan.collobert.com/pub/matos/2011_nlp_jmlr.pdf Natural Language Processing (Almost) from Scratch, Collobert et al., JMLR 2011]
** [http://emnlp2014.org/papers/pdf/EMNLP2014181.pdf Convolutional Neural Networks for Sentence Classification, Yoon Kim, EMNLP 2014]
*05/04 Convolutional Neural Networks (2)
*05/09 Project: mid-term presentation (1)
*05/11 Project: mid-term presentation (2) (HW2 due)
*05/16 Language and vision
*05/18 Information extraction
*05/23 Speech recognition and understanding
*05/25 Sequence-to-sequence models and neural machine translation
*05/30 Attention mechanisms in NLP
*06/01 Question answering
*06/06 Project: final presentation (1)
*06/08 Project: final presentation (2)