| Learning Strides in Convolutional Neural Networks | 0 | 0.34 | 2022 |
| The Trade-offs of Domain Adaptation for Neural Language Models | 0 | 0.34 | 2022 |
| Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation | 0 | 0.34 | 2021 |
| AUXILIARY TASK UPDATE DECOMPOSITION: THE GOOD, THE BAD AND THE NEUTRAL | 0 | 0.34 | 2021 |
| Efficient Content-Based Sparse Attention with Routing Transformers | 7 | 0.47 | 2021 |
| LEARNING FROM HETEROGENEOUS EEG SIGNALS WITH DIFFERENTIABLE CHANNEL REORDERING | 0 | 0.34 | 2021 |
| CONTRASTIVE LEARNING OF GENERAL-PURPOSE AUDIO REPRESENTATIONS | 0 | 0.34 | 2021 |
| Toward Better Storylines with Sentence-Level Language Models | 0 | 0.34 | 2020 |
| Modeling Human Motion with Quaternion-based Neural Networks. | 7 | 0.55 | 2019 |
| Tagged Back-Translation. | 0 | 0.34 | 2019 |
| fairseq: A Fast, Extensible Toolkit for Sequence Modeling. | 27 | 0.75 | 2019 |
| Understanding Back-Translation at Scale. | 15 | 0.55 | 2018 |
| Analyzing Uncertainty in Neural Machine Translation. | 14 | 0.56 | 2018 |
| QuaterNet: A Quaternion-based Recurrent Model for Human Motion. | 7 | 0.42 | 2018 |
| Classical Structured Prediction Losses for Sequence to Sequence Learning. | 16 | 0.82 | 2018 |
| QuickEdit: Editing Text & Translations by Crossing Words Out. | 0 | 0.34 | 2018 |
| 3d Human Pose Estimation In Video With Temporal Convolutions And Semi-Supervised Training | 31 | 0.81 | 2018 |
| Scaling Neural Machine Translation. | 22 | 0.65 | 2018 |
| A Convolutional Encoder Model For Neural Machine Translation | 10 | 0.56 | 2017 |
| QuickEdit: Editing Text & Translations via Simple Delete Actions. | 1 | 0.36 | 2017 |
| Language Modeling with Gated Convolutional Networks. | 21 | 0.57 | 2017 |
| Efficient softmax approximation for GPUs. | 22 | 0.66 | 2017 |
| Convolutional Sequence to Sequence Learning. | 46 | 0.84 | 2017 |
| Neural Text Generation from Structured Data with Application to the Biography Domain. | 41 | 1.25 | 2016 |
| Iterative Refinement for Machine Translation. | 3 | 0.39 | 2016 |
| Generating Text from Structured Data with Application to the Biography Domain. | 4 | 0.42 | 2016 |
| Interactive Semantic Featuring for Text Classification. | 0 | 0.34 | 2016 |
| Vocabulary Selection Strategies for Neural Machine Translation. | 7 | 0.48 | 2016 |
| Predicting distributions with Linearizing Belief Networks. | 2 | 0.41 | 2015 |
| Strategies For Training Large Vocabulary Neural Language Models | 25 | 0.94 | 2015 |
| ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems. | 4 | 1.13 | 2014 |
| GBC: Gradient boosting consensus model for heterogeneous data. | 0 | 0.34 | 2014 |
| Learning from Heterogeneous Sources via Gradient Boosting Consensus. | 6 | 0.48 | 2012 |
| Half Transductive Ranking | 0 | 0.34 | 2010 |
| Label Embedding Trees for Large Multi-Class Tasks. | 149 | 5.17 | 2010 |
| Half Transductive Ranking | 2 | 0.66 | 2010 |
| Learning to rank with (a lot of) word features | 67 | 2.46 | 2010 |
| Feature Set Embedding for Incomplete Data. | 3 | 0.47 | 2010 |
| Polynomial Semantic Indexing. | 17 | 1.37 | 2009 |
| Discriminative keyword spotting | 16 | 0.83 | 2009 |
| A discriminative kernel-based approach to rank images from text queries. | 194 | 8.96 | 2008 |
| A discriminative approach for the retrieval of images from text queries | 12 | 0.87 | 2006 |
| A neural network to retrieve images from text queries | 6 | 0.59 | 2006 |
| Learning to retrieve images from text queries with a discriminative model | 2 | 0.84 | 2006 |
| Effect of segmentation method on video retrieval performance | 2 | 0.38 | 2005 |
| Inferring document similarity from hyperlinks | 8 | 0.89 | 2005 |
