Papers
Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM)
Mijung Park, Wittawat Jitkrittum, Ahmad Qamar et al.
Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias
Yohei Kondo, Shin-ichi Maeda, Kohei Hayashi
Bayesian Model Adaptation for Crowd Counts
Bo Liu, Nuno Vasconcelos
Bayesian Modelling of Community-Based Multidimensional Trust in Participatory Sensing under Data Sparsity
Matteo Venanzi, Luke Teacy, Alex Rogers et al.
Bayesian Multiple Target Localization
Purnima Rajan, Weidong Han, Raphael Sznitman et al.
Bayesian Nonparametric Covariance Regression
Emily B. Fox, David B. Dunson
Bayesian Nonparametric Crowdsourcing
Pablo G. Moreno, Antonio Artes-Rodriguez, Yee Whye Teh et al.
Bayesian Non-Parametric Inference for Manifold Based MoCap Representation
Fabrizio Natola, Valsamis Ntouskos, Marta Sanzari et al.
Bayesian Optimization of Text Representations
Dani Yogatama, Lingpeng Kong, Noah A. Smith
Bayesian Optimization with Exponential Convergence
Kenji Kawaguchi, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Bayesian Sparse Representation for Hyperspectral Image Super Resolution
Naveed Akhtar, Faisal Shafait, Ajmal Mian
b-bit Marginal Regression
Martin Slawski, Ping Li
Because Syntax Does Matter: Improving Predicate-Argument Structures Parsing with Syntactic Features
Corentin Ribeyre, Eric Villemonte de la Clergerie, Djamé Seddah
Becoming the Expert - Interactive Multi-Class Machine Teaching
Edward Johns, Oisin Mac Aodha, Gabriel J. Brostow
Belief Revision and Progression of Knowledge Bases in the Epistemic Situation Calculus
Christoph Schwering, Gerhard Lakemeyer, Maurice Pagnucco
Benchmarking Machine Translated Sentiment Analysis for Arabic Tweets
Eshrag Refaee, Verena Rieser
Best-Buddies Similarity for Robust Template Matching
Tali Dekel, Shaul Oron, Michael Rubinstein et al.
Best of Both Worlds: Human-Machine Collaboration for Object Annotation
Olga Russakovsky, Li-Jia Li, Li Fei-Fei
Better Document-level Sentiment Analysis from RST Discourse Parsing
Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein
Better Summarization Evaluation with Word Embeddings for ROUGE
Jun-Ping Ng, Viktoria Abrecht
Between Imitation and Intention Learning
James MacGlashan, Michael L. Littman
Beyond Convexity: Stochastic Quasi-Convex Optimization
Elad Hazan, Kfir Levy, Shai Shalev-Shwartz
Beyond Covariance: Feature Representation With Nonlinear Kernel Matrices
Lei Wang, Jianjia Zhang, Luping Zhou et al.