Recurrent Neural Networks

Learning to Copy for Automatic Post-Editing EMNLP 2019 Learning to Embed Sentences Using Attentive Recursive Trees AAAI 2019 Learning to Film From Professional Human Motion Videos CVPR 2019 Legendre Memory Units: Continuous-Time Representation in Recurrent Neural Networks NeurIPS 2019 Linguistic Versus Latent Relations for Modeling Coherent Flow in Paragraphs EMNLP 2019 Long Short-Term Memory with Dynamic Skip Connections AAAI 2019 Look Back and Predict Forward in Image Captioning CVPR 2019 LSTMEmbed: Learning Word and Sense Representations from a Large Semantically Annotated Corpus with Long Short-Term Memories ACL 2019 LSTM Networks Can Perform Dynamic Counting ACL 2019 Meaning to Form: Measuring Systematicity as Information ACL 2019 Memory-Attended Recurrent Network for Video Captioning CVPR 2019 Memory-Augmented Temporal Dynamic Learning for Action Recognition AAAI 2019 MLVCNN: Multi-Loop-View Convolutional Neural Network for 3D Shape Retrieval AAAI 2019 Mode Variational LSTM Robust to Unseen Modes of Variation: Application to Facial Expression Recognition AAAI 2019 Multi-Modal Sarcasm Detection in Twitter with Hierarchical Fusion Model ACL 2019 Multi-Step Prediction of Occupancy Grid Maps With Recurrent Neural Networks CVPR 2019 Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog ACL 2019 Negative Focus Detection via Contextual Attention Mechanism EMNLP 2019 Neural Arabic Text Diacritization: State of the Art Results and a Novel Approach for Machine Translation EMNLP 2019 Neural Architectures for Nested NER through Linearization ACL 2019 Neural data-to-text generation: A comparison between pipeline and end-to-end architectures EMNLP 2019 Neural Models for Detecting Binary Semantic Textual Similarity for Algerian and MSA ACL 2019 Neural Relation Extraction within and across Sentence Boundaries AAAI 2019 NLP@UNED at SMM4H 2019: Neural Networks Applied to Automatic Classifications of Adverse Effects Mentions in Tweets ACL 2019 Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics NeurIPS 2019