Sequence Modeling

Proximal Graphical Event Models NeurIPS 2018 Recognizing Complex Entity Mentions: A Review and Future Directions ACL 2018 Spectral Filtering for General Linear Dynamical Systems NeurIPS 2018 SQL-to-Text Generation with Graph-to-Sequence Model EMNLP 2018 Temporal Information Extraction by Predicting Relative Time-lines EMNLP 2018 Unbiased Online Recurrent Optimization ICLR 2018 A Local Detection Approach for Named Entity Recognition and Mention Detection ACL 2017 Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model NeurIPS 2017 Discriminative State Space Models NeurIPS 2017 Dynamic-Depth Context Tree Weighting NeurIPS 2017 Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding NeurIPS 2017 Inverse Filtering for Hidden Markov Models NeurIPS 2017 Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank EMNLP 2017 Learning Overcomplete HMMs NeurIPS 2017 Lexically Constrained Decoding for Sequence Generation Using Grid Beam Search ACL 2017 Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification NeurIPS 2017 Multi-view Matrix Factorization for Linear Dynamical System Estimation NeurIPS 2017 Predicting User Activity Level In Point Processes With Mass Transport Equation NeurIPS 2017 Predictive State Recurrent Neural Networks NeurIPS 2017 The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process NeurIPS 2017 Backprop KF: Learning Discriminative Deterministic State Estimators NeurIPS 2016 Bird Song Synthesis Based on Hidden Markov Models Interspeech 2016 Dynamic Sum Product Networks for Tractable Inference on Sequence Data PGM 2016 Scaling Factorial Hidden Markov Models: Stochastic Variational Inference without Messages NeurIPS 2016 Temporal Action Detection Using a Statistical Language Model CVPR 2016