multi-task learning

Multi-task Prediction of Disease Onsets from Longitudinal Laboratory Tests MLHC 2016 Multitask Principal Component Analysis ACML 2016 Multi-task Sparse Structure Learning with Gaussian Copula Models JMLR 2016 New Perspectives on k-Support and Cluster Norms JMLR 2016 Noise and Metadata Sensitive Bottleneck Features for Improving Speaker Recognition with Non-Native Speech Input Interspeech 2016 Patient Risk Stratification with Time-Varying Parameters: A Multitask Learning Approach JMLR 2016 Phonetic Context Embeddings for DNN-HMM Phone Recognition Interspeech 2016 PPP: Joint Pointwise and Pairwise Image Label Prediction CVPR 2016 Random Fourier Features For Operator-Valued Kernels ACML 2016 RLScore: Regularized Least-Squares Learners JMLR 2016 Saliency Unified: A Deep Architecture for Simultaneous Eye Fixation Prediction and Salient Object Segmentation CVPR 2016 Scalable and Sound Low-Rank Tensor Learning AISTATS 2016 Sequential Inference for Deep Gaussian Process AISTATS 2016 Sincerity and Deception in Speech: Two Sides of the Same Coin? A Transfer- and Multi-Task Learning Perspective Interspeech 2016 SNR-Aware Convolutional Neural Network Modeling for Speech Enhancement Interspeech 2016 Stochastic Variational Deep Kernel Learning NeurIPS 2016 Table Filling Multi-Task Recurrent Neural Network for Joint Entity and Relation Extraction COLING 2016 Unsupervised Cross-Dataset Transfer Learning for Person Re-Identification CVPR 2016 A Multitask Point Process Predictive Model ICML 2015 A Probabilistic Model for Dirty Multi-task Feature Selection ICML 2015 Convex Learning of Multiple Tasks and their Structure ICML 2015 Convex Multi-Task Learning by Clustering AISTATS 2015 Cross-Age Face Verification by Coordinating With Cross-Face Age Verification CVPR 2015 Curriculum Learning of Multiple Tasks CVPR 2015 Deeply Learned Attributes for Crowded Scene Understanding CVPR 2015