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recurrent neural network

1,907 papers

RNN

Papers

Depth-Induced Multi-Scale Recurrent Attention Network for Saliency Detection ICCV 2019 Detecting Customer Complaint Escalation with Recurrent Neural Networks and Manually-Engineered Features NAACL 2019 Detecting Robust Co-Saliency with Recurrent Co-Attention Neural Network IJCAI 2019 Detecting Syntactic Change Using a Neural Part-of-Speech Tagger ACL 2019 Diagnosing Dysarthria with Long Short-Term Memory Networks Interspeech 2019 Dialect Text Normalization to Normative Standard Finnish EMNLP 2019 DialogueRNN: An Attentive RNN for Emotion Detection in Conversations AAAI 2019 Differentiated Distribution Recovery for Neural Text Generation AAAI 2019 Dirichlet Latent Variable Hierarchical Recurrent Encoder-Decoder in Dialogue Generation EMNLP 2019 Disentangled behavioural representations NeurIPS 2019 Diverse Generation for Multi-Agent Sports Games CVPR 2019 DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching AAAI 2019 Dr.VOT: Measuring Positive and Negative Voice Onset Time in the Wild Interspeech 2019 DTMT: A Novel Deep Transition Architecture for Neural Machine Translation AAAI 2019 Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control Method for Image Restoration ICLR 2019 Dynamics Are Important for the Recognition of Equine Pain in Video CVPR 2019 Dynamic Vehicle Traffic Control Using Deep Reinforcement Learning in Automated Material Handling System AAAI 2019 EEGtoText: Learning to Write Medical Reports from EEG Recordings MLHC 2019 Efficient Graph Generation with Graph Recurrent Attention Networks NeurIPS 2019 Efficient Language Modeling with Automatic Relevance Determination in Recurrent Neural Networks ACL 2019 Efficient Online Multi-Person 2D Pose Tracking With Recurrent Spatio-Temporal Affinity Fields CVPR 2019 Efficient optimization of loops and limits with randomized telescoping sums ICML 2019 Embedding Biomedical Ontologies by Jointly Encoding Network Structure and Textual Node Descriptors ACL 2019 Empirical Evaluation of Sequence-to-Sequence Models for Word Discovery in Low-Resource Settings Interspeech 2019 Enabling hyperparameter optimization in sequential autoencoders for spiking neural data NeurIPS 2019