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Recurrent Neural Networks

592 directly classified papers

Papers per year

Papers

Annotating Object Instances With a Polygon-RNN CVPR 2017
Re-Sign: Re-Aligned End-To-End Sequence Modelling With Deep Recurrent CNN-HMMs CVPR 2017
Predictive State Recurrent Neural Networks NIPS 2017
Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification NIPS 2017
Dilated Recurrent Neural Networks NIPS 2017
Cortical microcircuits as gated-recurrent neural networks NIPS 2017
Predictive-State Decoders: Encoding the Future into Recurrent Networks NIPS 2017
The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process NIPS 2017
Learning Hierarchical Information Flow with Recurrent Neural Modules NIPS 2017
MaskRNN: Instance Level Video Object Segmentation NIPS 2017
Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning NIPS 2017
Z-Forcing: Training Stochastic Recurrent Networks NIPS 2017
Deep Recurrent Neural Network-Based Identification of Precursor microRNAs NIPS 2017
Gated Recurrent Convolution Neural Network for OCR NIPS 2017
Fast-Slow Recurrent Neural Networks NIPS 2017
PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs NIPS 2017
From Bayesian Sparsity to Gated Recurrent Nets NIPS 2017
Preventing Gradient Explosions in Gated Recurrent Units NIPS 2017
On Human Motion Prediction Using Recurrent Neural Networks CVPR 2017
Learning Factorized Transforms for Unsupervised Adaptation of LSTM-RNN Acoustic Models INTERSPEECH 2017
Prosody Aware Word-Level Encoder Based on BLSTM-RNNs for DNN-Based Speech Synthesis INTERSPEECH 2017
Investigating Efficient Feature Representation Methods and Training Objective for BLSTM-Based Phone Duration Prediction INTERSPEECH 2017
Comparison of Modeling Target in LSTM-RNN Duration Model INTERSPEECH 2017
Agent-Centric Risk Assessment: Accident Anticipation and Risky Region Localization CVPR 2017
Unsupervised Learning of Long-Term Motion Dynamics for Videos CVPR 2017