language modeling

A Theoretically Grounded Application of Dropout in Recurrent Neural Networks NeurIPS 2016 Computational Approaches to Linguistic Code Switching Interspeech 2016 Language Identification Based on Generative Modeling of Posteriorgram Sequences Extracted from Frame-by-Frame DNNs and LSTM-RNNs Interspeech 2016 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks NeurIPS 2016 Predictive Incremental Parsing Helps Language Modeling COLING 2016 Professor Forcing: A New Algorithm for Training Recurrent Networks NeurIPS 2016 Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes NeurIPS 2016 Sub-Word Similarity based Search for Embeddings: Inducing Rare-Word Embeddings for Word Similarity Tasks and Language Modelling COLING 2016 Succinct Data Structures for NLP-at-Scale COLING 2016 The IBM 2016 English Conversational Telephone Speech Recognition System Interspeech 2016 End-To-End Memory Networks NeurIPS 2015 Gated Feedback Recurrent Neural Networks ICML 2015 Semi-supervised Sequence Learning NeurIPS 2015 Sequence to Sequence Learning with Neural Networks NeurIPS 2014 Learning word embeddings efficiently with noise-contrastive estimation NeurIPS 2013 Training and Analysing Deep Recurrent Neural Networks NeurIPS 2013 A Neural Autoregressive Topic Model NeurIPS 2012 Improvements to the Sequence Memoizer NeurIPS 2010 Probabilistic Deterministic Infinite Automata NeurIPS 2010 A Scalable Hierarchical Distributed Language Model NeurIPS 2008 Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks NeurIPS 2007 Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Models NeurIPS 2006 Efficient Algorithms for Universal Portfolios JMLR 2002