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recurrent neural network

1,907 papers

RNN

Papers

The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process NeurIPS 2017 The Statistical Recurrent Unit ICML 2017 The STC Keyword Search System for OpenKWS 2016 Evaluation Interspeech 2017 To Improve the Robustness of LSTM-RNN Acoustic Models Using Higher-Order Feedback from Multiple Histories Interspeech 2017 Towards Debate Automation: a Recurrent Model for Predicting Debate Winners EMNLP 2017 Training recurrent networks to generate hypotheses about how the brain solves hard navigation problems NeurIPS 2017 Transition-Based Disfluency Detection using LSTMs EMNLP 2017 Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs ICML 2017 Turn-Taking Estimation Model Based on Joint Embedding of Lexical and Prosodic Contents Interspeech 2017 Unambiguous Text Localization and Retrieval for Cluttered Scenes CVPR 2017 Unfolded Deep Recurrent Convolutional Neural Network with Jump Ahead Connections for Acoustic Modeling Interspeech 2017 Uniform Multilingual Multi-Speaker Acoustic Model for Statistical Parametric Speech Synthesis of Low-Resourced Languages Interspeech 2017 Unsupervised Learning of Long-Term Motion Dynamics for Videos CVPR 2017 Use of Global and Acoustic Features Associated with Contextual Factors to Adapt Language Models for Spontaneous Speech Recognition Interspeech 2017 Using Context Information for Dialog Act Classification in DNN Framework EMNLP 2017 Video Captioning With Transferred Semantic Attributes CVPR 2017 Video Highlight Prediction Using Audience Chat Reactions EMNLP 2017 VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization CVPR 2017 WALKING WALKing walking: Action Recognition from Action Echoes IJCAI 2017 Weakly Supervised Action Learning With RNN Based Fine-To-Coarse Modeling CVPR 2017 Weakly-Supervised Phrase Assignment from Text in a Speech-Synthesis System Using Noisy Labels Interspeech 2017 What is it? Disambiguating the different readings of the pronoun ‘it’ EMNLP 2017 What to Do Next: Modeling User Behaviors by Time-LSTM IJCAI 2017 Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning NeurIPS 2017 YNU-HPCC at IJCNLP-2017 Task 4: Attention-based Bi-directional GRU Model for Customer Feedback Analysis Task of English IJCNLP 2017