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Sequence Modeling

120 directly classified papers

Papers per year

Papers

Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model NIPS 2017
Dynamic-Depth Context Tree Weighting NIPS 2017
Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank EMNLP 2017
Lexically Constrained Decoding for Sequence Generation Using Grid Beam Search ACL 2017
Learning Overcomplete HMMs NIPS 2017
Discriminative State Space Models NIPS 2017
Bird Song Synthesis Based on Hidden Markov Models INTERSPEECH 2016
Temporal Action Detection Using a Statistical Language Model CVPR 2016
Scaling Factorial Hidden Markov Models: Stochastic Variational Inference without Messages NIPS 2016
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution NIPS 2015
Pointer Networks NIPS 2015
Semi-supervised Sequence Learning NIPS 2015
Slice Normalized Dynamic Markov Logic Networks NIPS 2012
Link Prediction in Graphs with Autoregressive Features NIPS 2012
Mixing Properties of Conditional Markov Chains with Unbounded Feature Functions NIPS 2012
Inferring spike-timing-dependent plasticity from spike train data NIPS 2011
Selective Prediction of Financial Trends with Hidden Markov Models NIPS 2011
Probabilistic Deterministic Infinite Automata NIPS 2010
Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data NIPS 2008
Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data JMLR 2007