Learning Paradigms

Inferring Analogous Attributes CVPR 2014 Instance-weighted Transfer Learning of Active Appearance Models CVPR 2014 Learning Multiple Tasks in Parallel with a Shared Annotator NeurIPS 2014 Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics NeurIPS 2014 Learning the Consistent Behavior of Common Users for Target Node Prediction across Social Networks ICML 2014 Learning to Learn, from Transfer Learning to Domain Adaptation: A Unifying Perspective CVPR 2014 Learning to Search in Branch and Bound Algorithms NeurIPS 2014 Learning with Fredholm Kernels NeurIPS 2014 LSDA: Large Scale Detection through Adaptation NeurIPS 2014 Model-based Reinforcement Learning and the Eluder Dimension NeurIPS 2014 Model Transport: Towards Scalable Transfer Learning on Manifolds CVPR 2014 Multitask learning meets tensor factorization: task imputation via convex optimization NeurIPS 2014 On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning AISTATS 2014 On Multiplicative Multitask Feature Learning NeurIPS 2014 PAC-Bayesian Theory for Transductive Learning AISTATS 2014 Prediction with Limited Advice and Multiarmed Bandits with Paid Observations ICML 2014 Quality Dynamic Human Body Modeling Using a Single Low-cost Depth Camera CVPR 2014 QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models NeurIPS 2014 Recognizing RGB Images by Learning from RGB-D Data CVPR 2014 Reconstructing Evolving Tree Structures in Time Lapse Sequences CVPR 2014 Robot Programming by Demonstration with Interactive Action Visualizations RSS 2014 Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature NeurIPS 2014 Scalable Collaborative Bayesian Preference Learning AISTATS 2014 Self-Calibration and Visual SLAM with a Multi-Camera System on a Micro Aerial Vehicle RSS 2014 Spectral Learning of Mixture of Hidden Markov Models NeurIPS 2014