Transfer Learning

Active Transfer Learning With Zero-Shot Priors: Reusing Past Datasets for Future Tasks ICCV 2015 A Mixed Bag of Emotions: Model, Predict, and Transfer Emotion Distributions CVPR 2015 Asymmetric Transfer Learning with Deep Gaussian Processes ICML 2015 A Theoretical Analysis of Metric Hypothesis Transfer Learning ICML 2015 Attributes and Categories for Generic Instance Search From One Example CVPR 2015 Bayesian Model Adaptation for Crowd Counts ICCV 2015 Bidirectional Recurrent Neural Networks as Generative Models NeurIPS 2015 BilBOWA: Fast Bilingual Distributed Representations without Word Alignments ICML 2015 Completing 3D Object Shape From One Depth Image CVPR 2015 Counterfactual Risk Minimization: Learning from Logged Bandit Feedback ICML 2015 Data Generation as Sequential Decision Making NeurIPS 2015 Deep Knowledge Tracing NeurIPS 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 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 Jointly Learning Heterogeneous Features for RGB-D Activity Recognition CVPR 2015 Learning a Non-Linear Knowledge Transfer Model for Cross-View Action Recognition CVPR 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 Lifelong Learning with Non-i.i.d. Tasks NeurIPS 2015