conftrace_

recurrent neural network

1790 papers

Explore in graph

Also known as

RNN

Co-occurring keywords

convolutional neural network (4226) long short-term memory (748) attention mechanism (4001) language model (4599) text classification (6793) representation learning (6206) speech recognition (1226) sequence modeling (288) language modeling (660) gated recurrent unit (136)

Papers

End-To-End Memory Networks NIPS 2015
Deep Knowledge Tracing NIPS 2015
Convolutional Neural Networks with Intra-Layer Recurrent Connections for Scene Labeling NIPS 2015
Expressing an Image Stream with a Sequence of Natural Sentences NIPS 2015
Interactive Control of Diverse Complex Characters with Neural Networks NIPS 2015
Learning to Transduce with Unbounded Memory NIPS 2015
Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation NIPS 2015
Mind's Eye: A Recurrent Visual Representation for Image Caption Generation CVPR 2015
Conditional Random Fields as Recurrent Neural Networks ICCV 2015
Multi-Task Recurrent Neural Network for Immediacy Prediction ICCV 2015
Differential Recurrent Neural Networks for Action Recognition ICCV 2015
Hierarchical Recurrent Neural Network for Skeleton Based Action Recognition CVPR 2015
Describing Videos by Exploiting Temporal Structure ICCV 2015
A Linear Dynamical System Model for Text ICML 2015
Action-Conditional Video Prediction using Deep Networks in Atari Games NIPS 2015
Modeling Deep Temporal Dependencies with Recurrent Grammar Cells"" NIPS 2014
Pre-training of Recurrent Neural Networks via Linear Autoencoders NIPS 2014
Towards End-To-End Speech Recognition with Recurrent Neural Networks ICML 2014
Recurrent Convolutional Neural Networks for Scene Labeling ICML 2014
A Clockwork RNN ICML 2014
Unsupervised learning of an efficient short-term memory network NIPS 2014
Recurrent Models of Visual Attention NIPS 2014
Recurrent networks of coupled Winner-Take-All oscillators for solving constraint satisfaction problems NIPS 2013
Training and Analysing Deep Recurrent Neural Networks NIPS 2013
On the importance of initialization and momentum in deep learning ICML 2013