Learning Paradigms

Heterogeneous-Neighborhood-based Multi-Task Local Learning Algorithms NeurIPS 2013 Image Co-segmentation via Consistent Functional Maps ICCV 2013 Inverse Density as an Inverse Problem: the Fredholm Equation Approach NeurIPS 2013 It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals NeurIPS 2013 Latent Task Adaptation with Large-Scale Hierarchies ICCV 2013 Learning a Deep Compact Image Representation for Visual Tracking NeurIPS 2013 Learning Feature Selection Dependencies in Multi-task Learning NeurIPS 2013 Learning Multi-level Sparse Representations NeurIPS 2013 Learning Multiple Behaviors from Unlabeled Demonstrations in a Latent Controller Space ICML 2013 Learning to Share Latent Tasks for Action Recognition ICCV 2013 Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space NeurIPS 2013 Machine Teaching for Bayesian Learners in the Exponential Family NeurIPS 2013 Manifold Based Face Synthesis from Sparse Samples ICCV 2013 Manifold-based Similarity Adaptation for Label Propagation NeurIPS 2013 Meta-Transportability of Causal Effects: A Formal Approach AISTATS 2013 Multilinear Multitask Learning ICML 2013 Multiple-source cross-validation ICML 2013 Multi-Task Bayesian Optimization NeurIPS 2013 Multi-Task Learning with Gaussian Matrix Generalized Inverse Gaussian Model ICML 2013 One-shot learning and big data with n=2 NeurIPS 2013 One-shot learning by inverting a compositional causal process NeurIPS 2013 Optimistic Concurrency Control for Distributed Unsupervised Learning NeurIPS 2013 Parametric Task Learning NeurIPS 2013 Pass-efficient unsupervised feature selection NeurIPS 2013 Prostate Segmentation in CT Images via Spatial-Constrained Transductive Lasso CVPR 2013