Artificial Intelligence

Learning under uncertainty: a comparison between R-W and Bayesian approach NeurIPS 2016 Learning values across many orders of magnitude NeurIPS 2016 Learning Weight Uncertainty With Stochastic Gradient MCMC for Shape Classification CVPR 2016 Learning What and Where to Draw NeurIPS 2016 Learnt Quasi-Transitive Similarity for Retrieval From Large Collections of Faces CVPR 2016 Lenient Learning in Independent-Learner Stochastic Cooperative Games JMLR 2016 Light-Weight Contexts: An OS Abstraction for Safety and Performance OSDI 2016 Linggle Knows: A Search Engine Tells How People Write COLING 2016 Long Short-Term Memory for Speaker Generalization in Supervised Speech Separation Interspeech 2016 Long-term Causal Effects via Behavioral Game Theory NeurIPS 2016 Machine Learning in an Auction Environment JMLR 2016 MAGES: A Multilingual Angle-integrated Grouping-based Entity Summarization System COLING 2016 Making Large Cox’s Proportional Hazard Models Tractable in Bayesian Networks PGM 2016 Manual versus Automated: The Challenging Routine of Infant Vocalisation Segmentation in Home Videos to Study Neuro(mal)development Interspeech 2016 Mapping Estimation for Discrete Optimal Transport NeurIPS 2016 Markov-modulated Marked Poisson Processes for Check-in Data ICML 2016 Matching Networks for One Shot Learning NeurIPS 2016 Mathematical Tools for Analysis, Simulation and Design of Robotic Angular Encoders RSS 2016 Maximin Action Identification: A New Bandit Framework for Games COLT 2016 Maximizing Influence in an Ising Network: A Mean-Field Optimal Solution NeurIPS 2016 MDL-CW: A Multimodal Deep Learning Framework With Cross Weights CVPR 2016 Measuring Neural Net Robustness with Constraints NeurIPS 2016 Measuring Non-cooperation in Dialogue COLING 2016 Measuring the reliability of MCMC inference with bidirectional Monte Carlo NeurIPS 2016 Mechanical Antagonism in Legged Robots RSS 2016