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Regina Barzilay | Mo Yu | Shiyu Chang | Yujia Bao | R. Barzilay | Mo Yu | Shiyu Chang | Yujia Bao
[1] François Laviolette,et al. Domain-Adversarial Training of Neural Networks , 2015, J. Mach. Learn. Res..
[2] Diyi Yang,et al. Hierarchical Attention Networks for Document Classification , 2016, NAACL.
[3] Yoshua Bengio,et al. Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach , 2011, ICML.
[4] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[5] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..
[6] Ben Poole,et al. Categorical Reparameterization with Gumbel-Softmax , 2016, ICLR.
[7] Jason Weston,et al. A Neural Attention Model for Abstractive Sentence Summarization , 2015, EMNLP.
[8] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[9] Christopher D. Manning,et al. Effective Approaches to Attention-based Neural Machine Translation , 2015, EMNLP.
[10] Yoshua Bengio,et al. A Neural Probabilistic Language Model , 2003, J. Mach. Learn. Res..
[11] Holger Schwenk,et al. Supervised Learning of Universal Sentence Representations from Natural Language Inference Data , 2017, EMNLP.
[12] Luke S. Zettlemoyer,et al. Deep Contextualized Word Representations , 2018, NAACL.
[13] Tomas Mikolov,et al. Enriching Word Vectors with Subword Information , 2016, TACL.
[14] Bowen Zhou,et al. A Structured Self-attentive Sentence Embedding , 2017, ICLR.
[15] Yue Lu,et al. Latent aspect rating analysis on review text data: a rating regression approach , 2010, KDD.
[16] Jason Weston,et al. Reading Wikipedia to Answer Open-Domain Questions , 2017, ACL.
[17] Regina Barzilay,et al. Aspect-augmented Adversarial Networks for Domain Adaptation , 2017, TACL.
[18] Yoon Kim,et al. Convolutional Neural Networks for Sentence Classification , 2014, EMNLP.
[19] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[20] J. Leskovec,et al. Learning Attitudes and Attributes from Online Reviews , 2012 .
[21] Xiangji Huang,et al. Bi-Transferring Deep Neural Networks for Domain Adaptation , 2016, ACL.
[22] Kilian Q. Weinberger,et al. Marginalized Denoising Autoencoders for Domain Adaptation , 2012, ICML.
[23] Lemao Liu,et al. Neural Machine Translation with Supervised Attention , 2016, COLING.
[24] Aaron C. Courville,et al. Improved Training of Wasserstein GANs , 2017, NIPS.
[25] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[26] Christine D. Piatko,et al. Using “Annotator Rationales” to Improve Machine Learning for Text Categorization , 2007, NAACL.
[27] Ye Zhang,et al. Rationale-Augmented Convolutional Neural Networks for Text Classification , 2016, EMNLP.
[28] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[29] Jun Zhao,et al. Exploiting Argument Information to Improve Event Detection via Supervised Attention Mechanisms , 2017, ACL.
[30] Lukás Burget,et al. Extensions of recurrent neural network language model , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[31] Léon Bottou,et al. Wasserstein GAN , 2017, ArXiv.
[32] Jason Weston,et al. Natural Language Processing (Almost) from Scratch , 2011, J. Mach. Learn. Res..
[33] Masaaki Nagata,et al. Supervised Attention for Sequence-to-Sequence Constituency Parsing , 2017, IJCNLP.
[34] Regina Barzilay,et al. Rationalizing Neural Predictions , 2016, EMNLP.