Artificial Intelligence

Safe Policy Improvement by Minimizing Robust Baseline Regret NeurIPS 2016 Sampling for Bayesian Program Learning NeurIPS 2016 Scalable Discrete Sampling as a Multi-Armed Bandit Problem ICML 2016 Scalable MAP inference in Bayesian networks based on a Map-Reduce approach PGM 2016 Scalable MCMC for Mixed Membership Stochastic Blockmodels AISTATS 2016 Scalable Structure Discovery in Regression using Gaussian Processes AutoML 2016 Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes NeurIPS 2016 Search Improves Label for Active Learning NeurIPS 2016 Select-and-Sample for Spike-and-Slab Sparse Coding NeurIPS 2016 Selective Co-occurrences for Word-Emotion Association COLING 2016 Semi-Supervised and Cross-Lingual Knowledge Transfer Learnings for DNN Hybrid Acoustic Models Under Low-Resource Conditions Interspeech 2016 Semi Supervised Preposition-Sense Disambiguation using Multilingual Data COLING 2016 Semi-Supervised Speaker Adaptation for In-Vehicle Speech Recognition with Deep Neural Networks Interspeech 2016 Semi-Supervised Vocabulary-Informed Learning CVPR 2016 Sensing Emotions in Text Messages: An Application and Deployment Study of EmotionPush COLING 2016 Sequential Inference for Deep Gaussian Process AISTATS 2016 Sequential Neural Models with Stochastic Layers NeurIPS 2016 Shape-Based Compliance in Locomotion RSS 2016 Short Utterance Variance Modelling and Utterance Partitioning for PLDA Speaker Verification Interspeech 2016 Showing versus doing: Teaching by demonstration NeurIPS 2016 Simulation and Calibration of a Fully Bayesian Marked Multidimensional Hawkes Process with Dissimilar Decays ACML 2016 Sincerity and Deception in Speech: Two Sides of the Same Coin? A Transfer- and Multi-Task Learning Perspective Interspeech 2016 Single-Image Depth Perception in the Wild NeurIPS 2016 Situated Language Understanding with Human-like and Visualization-Based Transparency RSS 2016 Smooth Imitation Learning for Online Sequence Prediction ICML 2016