Deep Learning Publication Navigator - subtopic: lstm


Year TitleAuthor
2017   Ensemble Deep Learning for Skeleton-Based Action Recognition Using Temporal Sliding LSTM Networks  I Lee, D Kim, S Kang, S Lee
2017   A Deep Learning based Approach to Reduced Order Modeling of Fluids using LSTM Neural Networks  A Mohan, D Gaitonde
2017   Target-Specific Convolutional Bi-directional LSTM Neural Network for Political Ideology Analysis  X Li, W Chen, T Wang, W Huang
2017   Deep Bidirectional LSTM based RNN for Casual Speech to Clear Speech conversion  S Singh
2017   A Band Grouping Based LSTM Algorithm for Hyperspectral Image Classification  Y Xu, B Du, L Zhang, F Zhang 
2017   Auxiliary Multimodal LSTM for Audio-visual Speech Recognition and Lipreading  C Tian, W Ji, Y Yuan
2017   Deep LSTM for Large Vocabulary Continuous Speech Recognition  X Tian, J Zhang, Z Ma, Y He, J Wei, P Wu, W Situ, S Li
2017   SAR Target Recognition Using the Multi-aspect-aware Bidirectional LSTM Recurrent Neural Networks  F Zhang, C Hu, Q Yin, W Li, H Li, W Hong
2017   Singular Point Probability Improve LSTM Network Performance for Long-term Traffic Flow Prediction  B Liu, J Cheng, K Cai, P Shi, X Tang 
2017   LSTM Fully Convolutional Networks for Time Series Classification  F Karim, S Majumdar, H Darabi, S Chen
2017   Simultaneous Generation-Classification Using LSTM  DL Marino, K Amarasinghe, M Manic
2017   Multi Resolution LSTM For Long Term Prediction In Neural Activity Video  Y Song, J Viventi, Y Wang
2016   Look, Listen and Learn-A Multimodal LSTM for Speaker Identification  J Ren, Y Hu, YW Tai, C Wang, L Xu, W Sun, Q Yan
2016   Leveraging Sentence-level Information with Encoder LSTM for Natural Language Understanding  G Kurata, B Xiang, B Zhou, M Yu
2016   Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition  FJ Ordóñez, D Roggen
2016   Exploiting LSTM structure in deep neural networks for speech recognition  T He, J Droppo
2016   A Comprehensive Study of Deep Bidirectional LSTM RNNs for Acoustic Modeling in Speech Recognition  A Zeyer, P Doetsch, P Voigtlaender, R Schlüter, H Ney
2016   Geometric Scene Parsing with Hierarchical LSTM  Z Peng, R Zhang, X Liang, L Lin
2016   LSTM Networks for Mobile Human Activity Recognition  Y Chen, K Zhong, J Zhang, Q Sun, X Zhao
2016   Learning Natural Language Inference using Bidirectional LSTM model and Inner-Attention  Y Liu, C Sun, L Lin, X Wang
2016   Machine health monitoring with LSTM networks  R Zhao, J Wang, R Yan, K Mao
2016   Facing Realism in Spontaneous Emotion Recognition from Speech: Feature Enhancement by Autoencoder with LSTM Neural Networks  Z Zhang, F Ringeval, J Han, J Deng, E Marchi
2016   Animal Behavior Video Classification by Spatial LSTM  HQ Nguyen, SP Kasthuri Arachchi, MWP Maduranga
2016   Contextual LSTM (CLSTM) models for Large scale NLP tasks  S Ghosh, O Vinyals, B Strope, S Roy, T Dean, L Heck
2016   Bidirectional LSTM Networks Employing Stacked Bottleneck Features for Expressive Speech-Driven Head Motion Synthesis  K Haag, H Shimodaira
2016   Beyond Frame-level CNN: Saliency-aware 3D CNN with LSTM for Video Action Recognition  J Song, H Shen
2015   Learning Statistical Scripts with LSTM Recurrent Neural Networks  K Pichotta, RJ Mooney
2015   A deep bidirectional LSTM approach for video-realistic talking head  B Fan, L Xie, S Yang, L Wang, FK Soong
2015   Maxout neurons for deep convolutional and LSTM neural networks in speech recognition  M Cai, J Liu
2015   Scene Analysis by Mid-level Attribute Learning using 2D LSTM networks and an Application to Web-image Tagging  W Byeon, M Liwicki, TM Breuel
2015   Learning to Diagnose with LSTM Recurrent Neural Networks  ZC Lipton, DC Kale, C Elkan, R Wetzell
2015   Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting  SHI Xingjian, Z Chen, H Wang, DY Yeung, W Wong