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Papers
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
YNUDLG at IJCNLP-2017 Task 5: A CNN-LSTM Model with Attention for Multi-choice Question Answering in Examinations
IJCNLP 2017
YNU-HPCC at IJCNLP-2017 Task 5: Multi-choice Question Answering in Exams Using an Attention-based LSTM Model
IJCNLP 2017
A Hierarchical Deep Temporal Model for Group Activity Recognition
CVPR 2016
A Multi-Stream Bi-Directional Recurrent Neural Network for Fine-Grained Action Detection
CVPR 2016
Articulatory-to-Acoustic Conversion with Cascaded Prediction of Spectral and Excitation Features Using Neural Networks
Interspeech 2016
Associative Long Short-Term Memory
ICML 2016
A Template-Based Approach for Speech Synthesis Intonation Generation Using LSTMs
Interspeech 2016
Audio Word2Vec: Unsupervised Learning of Audio Segment Representations Using Sequence-to-Sequence Autoencoder
Interspeech 2016
Automatic Paragraph Segmentation with Lexical and Prosodic Features
Interspeech 2016
Capturing Pragmatic Knowledge in Article Usage Prediction using LSTMs
COLING 2016
Cells in Multidimensional Recurrent Neural Networks
JMLR 2016
Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation
NeurIPS 2016
Compact Feedforward Sequential Memory Networks for Large Vocabulary Continuous Speech Recognition
Interspeech 2016
Compositional Neural Network Language Models for Agglutinative Languages
Interspeech 2016
Couples Behavior Modeling and Annotation Using Low-Resource LSTM Language Models
Interspeech 2016
Deep Bidirectional Long Short-Term Memory Recurrent Neural Networks for Grapheme-to-Phoneme Conversion Utilizing Complex Many-to-Many Alignments
Interspeech 2016
Deep Gate Recurrent Neural Network
ACML 2016
Detecting Context Dependent Messages in a Conversational Environment
COLING 2016
Dialogue Act Classification in Domain-Independent Conversations Using a Deep Recurrent Neural Network
COLING 2016
Effective LSTMs for Target-Dependent Sentiment Classification
COLING 2016
End-to-End Language Identification Using Attention-Based Recurrent Neural Networks
Interspeech 2016
Exploiting Depth and Highway Connections in Convolutional Recurrent Deep Neural Networks for Speech Recognition
Interspeech 2016
Exploiting Sentence and Context Representations in Deep Neural Models for Spoken Language Understanding
COLING 2016