Papers
176,624 papers found
Batch Learning from Logged Bandit Feedback through Counterfactual Risk Minimization
Adith Swaminathan, Thorsten Joachims
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe, Christian Szegedy
Bayesian Active Model Selection with an Application to Automated Audiometry
Jacob Gardner, Gustavo Malkomes, Roman Garnett et al.
Bayesian Adaptive Matrix Factorization With Automatic Model Selection
Peixian Chen, Naiyan Wang, Nevin L. Zhang et al.
Bayesian and Empirical Bayesian Forests
Taddy Matthew, Chun-Sheng Chen, Jun Yu et al.
Bayesian dark knowledge
Anoop Korattikara Balan, Vivek Rathod, Kevin P. Murphy et al.
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 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 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
Becoming the Expert - Interactive Multi-Class Machine Teaching
Edward Johns, Oisin Mac Aodha, Gabriel J. Brostow
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
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.
Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues
Ning Zhang, Manohar Paluri, Yaniv Taigman et al.
Beyond Gaussian Pyramid: Multi-Skip Feature Stacking for Action Recognition
Zhengzhong Lan, Ming Lin, Xuanchong Li et al.
Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs
Mehrtash Harandi, Mathieu Salzmann, Mahsa Baktashmotlagh