Co-occurring keywords · papers mentioning both
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