| Deep Neural Machine Translation With Linear Associative Unit | 13 | 0.57 | 2017 |
| Neural Machine Translation Advised by Statistical Machine Translation. | 19 | 0.63 | 2017 |
| Context Gates for Neural Machine Translation. | 17 | 0.65 | 2017 |
| Neural Machine Translation with External Phrase Memory. | 11 | 0.61 | 2016 |
| Incorporating Copying Mechanism In Sequence-To-Sequence Learning | 175 | 4.63 | 2016 |
| Interactive Attention for Neural Machine Translation. | 24 | 0.89 | 2016 |
| Modeling Coverage For Neural Machine Translation | 127 | 3.41 | 2016 |
| Recent Progress in Deep Learning for NLP. | 0 | 0.34 | 2016 |
| Topic Set Size Design With The Evaluation Measures For Short Text Conversation | 3 | 0.52 | 2015 |
| Learning to Answer Questions From Image using Convolutional Neural Network | 61 | 2.35 | 2015 |
| Encoding Source Language With Convolutional Neural Network For Machine Translation | 34 | 1.24 | 2015 |
| Multimodal Convolutional Neural Networks for Matching Image and Sentence. | 83 | 1.95 | 2015 |
| Neural Responding Machine For Short-Text Conversation | 207 | 7.04 | 2015 |
| Neural Transformation Machine: A New Architecture for Sequence-to-Sequence Learning | 3 | 0.41 | 2015 |
| Convolutional neural network architectures for matching natural language sentences | 267 | 7.56 | 2015 |
| Neural Generative Question Answering | 12 | 0.51 | 2015 |
| Neural Enquirer: Learning to Query Tables | 9 | 0.75 | 2015 |
| Context-Dependent Translation Selection Using Convolutional Neural Network | 6 | 0.50 | 2015 |
| A Parallel and Efficient Algorithm for Learning to Match | 4 | 0.40 | 2014 |
| A Dataset for Research on Short-Text Conversations. | 43 | 2.11 | 2013 |
| Learning bilinear model for matching queries and documents | 16 | 1.22 | 2013 |
| A Deep Architecture for Matching Short Texts. | 81 | 2.73 | 2013 |
| Collaborative boosting for activity classification in microblogs | 6 | 0.46 | 2013 |
| Finding web appearances of social network users via latent factor model | 0 | 0.34 | 2012 |
| Clustered embedding of massive social networks | 8 | 0.66 | 2012 |
| Scalable Affiliation Recommendation using Auxiliary Networks | 37 | 1.51 | 2011 |
| Kernels for longitudinal data with variable sequence length and sampling intervals. | 1 | 0.36 | 2011 |
| A Denoising View of Matrix Completion. | 4 | 0.43 | 2011 |
| Supervised Link Prediction Using Multiple Sources | 56 | 2.18 | 2010 |
| Parametric dimensionality reduction by unsupervised regression | 10 | 0.76 | 2010 |
| Affiliation recommendation using auxiliary networks | 21 | 1.11 | 2010 |
| A spatio-temporal approach to collaborative filtering | 45 | 1.83 | 2009 |
| Geometry-aware metric learning | 14 | 0.63 | 2009 |
| Clustering with Multiple Graphs | 59 | 2.34 | 2009 |
| Hierarchical Fisher Kernels for Longitudinal Data | 1 | 0.35 | 2008 |
| Dimensionality reduction by unsupervised regression | 13 | 0.89 | 2008 |
| Constrained spectral clustering through affinity propagation | 85 | 2.58 | 2008 |
| A reproducing kernel Hilbert space framework for pairwise time series distances | 11 | 0.65 | 2008 |
| Penalized probabilistic clustering. | 26 | 1.34 | 2007 |
| Fast neural network surrogates for very high dimensional physics-based models in computational oceanography | 4 | 0.49 | 2007 |
| The Laplacian Eigenmaps Latent Variable Model | 35 | 1.64 | 2007 |
| People Tracking with the Laplacian Eigenmaps Latent Variable Model | 35 | 1.76 | 2007 |
| Semi-supervised Clustering with Pairwise Constraints: A Discriminative Approach | 7 | 0.45 | 2007 |
| Semi-supervised Learning with Penalized Probabilistic Clustering | 62 | 2.74 | 2004 |
