| Multichannel Generative Language Model: Learning All Possible Factorizations Within and Across Channels | 0 | 0.34 | 2020 |
| An Empirical Study of Generation Order for Machine Translation. | 0 | 0.34 | 2020 |
| Graph Normalizing Flows. | 0 | 0.34 | 2019 |
| ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning. | 0 | 0.34 | 2019 |
| Insertion Transformer: Flexible Sequence Generation via Insertion Operations. | 3 | 0.36 | 2019 |
| DOM-Q-NET: Grounded RL on Structured Language. | 0 | 0.34 | 2019 |
| Illustrative Language Understanding: Large-Scale Visual Grounding With Image Search | 0 | 0.34 | 2018 |
| InferLite: Simple Universal Sentence Representations from Natural Language Inference Data. | 0 | 0.34 | 2018 |
| Joint Embeddings of Scene Graphs and Images | 0 | 0.34 | 2017 |
| VSE++: Improved Visual-Semantic Embeddings. | 0 | 0.34 | 2017 |
| Layer Normalization. | 0 | 0.34 | 2016 |
| Order-Embeddings of Images and Language | 0 | 0.34 | 2016 |
| Towards Generalizable Sentence Embeddings. | 0 | 0.34 | 2016 |
| Exploratory Visual Analysis and Interactive Pattern Extraction from Semi-Structured Data | 4 | 0.52 | 2015 |
| Action Recognition using Visual Attention | 84 | 2.04 | 2015 |
| Order-Embeddings of Images and Language | 73 | 2.28 | 2015 |
| Scalable Bayesian Optimization Using Deep Neural Networks | 76 | 2.92 | 2015 |
| Skip-Thought Vectors | 339 | 9.75 | 2015 |
| Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books | 156 | 5.75 | 2015 |
| Show, Attend and Tell: Neural Image Caption Generation with Visual Attention. | 1061 | 32.46 | 2015 |
| Exploring Models and Data for Image Question Answering | 116 | 4.30 | 2015 |
| Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models. | 273 | 22.38 | 2014 |
| Stacked Multiscale Feature Learning for Domain Independent Medical Image Segmentation. | 3 | 0.46 | 2014 |
| Multimodal Neural Language Models. | 21 | 3.36 | 2014 |
| A Multiplicative Model for Learning Distributed Text-Based Attribute Representations. | 27 | 1.68 | 2014 |
| Training Neural Networks with Stochastic Hessian-Free Optimization | 9 | 1.30 | 2013 |
| Regularizers versus Losses for Nonlinear Dimensionality Reduction: A Factored View with New Convex Relaxations. | 0 | 0.34 | 2012 |
| Deep Representations and Codes for Image Auto-Annotation. | 20 | 0.86 | 2012 |
