Learning Paradigms

Convergence Rates of Active Learning for Maximum Likelihood Estimation NeurIPS 2015 Counterfactual Risk Minimization: Learning from Logged Bandit Feedback ICML 2015 Data Generation as Sequential Decision Making NeurIPS 2015 Deep Domain Adaptation for Describing People Based on Fine-Grained Clothing Attributes CVPR 2015 Deep Knowledge Tracing NeurIPS 2015 Distributed Inference for Dirichlet Process Mixture Models ICML 2015 Efficient and Parsimonious Agnostic Active Learning NeurIPS 2015 Efficient and Robust Automated Machine Learning NeurIPS 2015 Efficient Label Collection for Unlabeled Image Datasets CVPR 2015 Efficient Output Kernel Learning for Multiple Tasks NeurIPS 2015 Efficient Representations for Lifelong Learning and Autoencoding COLT 2015 Expanding Object Detector's Horizon: Incremental Learning Framework for Object Detection in Videos CVPR 2015 Fast Distributed k-Center Clustering with Outliers on Massive Data NeurIPS 2015 From Emotions to Action Units With Hidden and Semi-Hidden-Task Learning ICCV 2015 Generating Notifications for Missing Actions: Don't Forget to Turn the Lights Off! ICCV 2015 Group Membership Prediction ICCV 2015 Image Segmentation in Twenty Questions CVPR 2015 Jointly Learning Heterogeneous Features for RGB-D Activity Recognition CVPR 2015 Just Noticeable Differences in Visual Attributes ICCV 2015 Learning a Non-Linear Knowledge Transfer Model for Cross-View Action Recognition CVPR 2015 Learning Like a Child: Fast Novel Visual Concept Learning From Sentence Descriptions of Images ICCV 2015 Learning Semantic Relationships for Better Action Retrieval in Images CVPR 2015 Learning to Transfer: Transferring Latent Task Structures and Its Application to Person-Specific Facial Action Unit Detection ICCV 2015 Learning Transferable Features with Deep Adaptation Networks ICML 2015 Learning visual biases from human imagination NeurIPS 2015