Sequence Modeling

Deliberation Networks: Sequence Generation Beyond One-Pass Decoding NeurIPS 2017 Differentiable Scheduled Sampling for Credit Assignment ACL 2017 Learning a Neural Semantic Parser from User Feedback ACL 2017 Nested LSTMs ACML 2017 Paradigm Completion for Derivational Morphology EMNLP 2017 Recurrent Convolutional Neural Networks for Continuous Sign Language Recognition by Staged Optimization CVPR 2017 Selective Encoding for Abstractive Sentence Summarization ACL 2017 Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning NeurIPS 2017 An Online Sequence-to-Sequence Model Using Partial Conditioning NeurIPS 2016 Dynamic Sum Product Networks for Tractable Inference on Sequence Data PGM 2016 Reward Augmented Maximum Likelihood for Neural Structured Prediction NeurIPS 2016 Sequential Neural Models with Stochastic Layers NeurIPS 2016 Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting NeurIPS 2015 Deep Temporal Sigmoid Belief Networks for Sequence Modeling NeurIPS 2015 Hessian-free Optimization for Learning Deep Multidimensional Recurrent Neural Networks NeurIPS 2015 Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets NeurIPS 2015 Learning to Transduce with Unbounded Memory NeurIPS 2015 Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks NeurIPS 2015 Modeling Deep Temporal Dependencies with Recurrent Grammar Cells"" NeurIPS 2014 Sequence to Sequence Learning with Neural Networks NeurIPS 2014 Deep Spatio-Temporal Architectures and Learning for Protein Structure Prediction NeurIPS 2012 Sequence learning with hidden units in spiking neural networks NeurIPS 2011 Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks NeurIPS 2008 Scalable Algorithms for String Kernels with Inexact Matching NeurIPS 2008 Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks NeurIPS 2007