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multi-task learning

2,927 papers

MTL

Papers

A Unified Architecture for Semantic Role Labeling and Relation Classification COLING 2016 A Universal Framework for Inductive Transfer Parsing across Multi-typed Treebanks COLING 2016 Cross-Stitch Networks for Multi-Task Learning CVPR 2016 DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation CVPR 2016 DeepFashion: Powering Robust Clothes Recognition and Retrieval With Rich Annotations CVPR 2016 Deep Neural Network Based Acoustic-to-Articulatory Inversion Using Phone Sequence Information Interspeech 2016 Distributed Multi-Task Learning AISTATS 2016 Domain Adaptation of Recurrent Neural Networks for Natural Language Understanding Interspeech 2016 Embedding Label Structures for Fine-Grained Feature Representation CVPR 2016 Extended and Unscented Kitchen Sinks ICML 2016 Gaussian process nonparametric tensor estimator and its minimax optimality ICML 2016 gLOP: the global and Local Penalty for Capturing Predictive Heterogeneity MLHC 2016 Improving historical spelling normalization with bi-directional LSTMs and multi-task learning COLING 2016 Improving Large Vocabulary Accented Mandarin Speech Recognition with Attribute-Based I-Vectors Interspeech 2016 Instance-Aware Semantic Segmentation via Multi-Task Network Cascades CVPR 2016 Integrated perception with recurrent multi-task neural networks NeurIPS 2016 Joint quantile regression in vector-valued RKHSs NeurIPS 2016 Keystroke dynamics as signal for shallow syntactic parsing COLING 2016 Learning from Multiway Data: Simple and Efficient Tensor Regression ICML 2016 Minimax Optimal Alternating Minimization for Kernel Nonparametric Tensor Learning NeurIPS 2016 Multi-Domain Joint Semantic Frame Parsing Using Bi-Directional RNN-LSTM Interspeech 2016 Multi-Language Neural Network Language Models Interspeech 2016 Multi-Task Learning and Weighted Cross-Entropy for DNN-Based Keyword Spotting Interspeech 2016 Multi-Task Learning for Straggler Avoiding Predictive Job Scheduling JMLR 2016 Multi-task Learning with Weak Class Labels: Leveraging iEEG to Detect Cortical Lesions in Cryptogenic Epilepsy MLHC 2016