Meta-Learning

A Meta-Learning Approach for Custom Model Training AAAI 2019 A Meta-MDP Approach to Exploration for Lifelong Reinforcement Learning NeurIPS 2019 Amortized Bayesian Meta-Learning ICLR 2019 A Multitask Multiple Kernel Learning Algorithm for Survival Analysis with Application to Cancer Biology ICML 2019 A New Multi-choice Reading Comprehension Dataset for Curriculum Learning ACML 2019 Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation ICML 2019 Automated Model Selection with Bayesian Quadrature ICML 2019 Automatically Composing Representation Transformations as a Means for Generalization ICLR 2019 Bayesian Learning of Neural Network Architectures AISTATS 2019 Biologically-Plausible Learning Algorithms Can Scale to Large Datasets ICLR 2019 Bridging the Gap Between Detection and Tracking: A Unified Approach ICCV 2019 Confidence Scoring Using Whitebox Meta-models with Linear Classifier Probes AISTATS 2019 Contextual bandits with continuous actions: Smoothing, zooming, and adapting COLT 2019 Cross-lingual Transfer Learning and Multitask Learning for Capturing Multiword Expressions ACL 2019 Deep Active Learning with Adaptive Acquisition IJCAI 2019 Deep Compressed Sensing ICML 2019 Deep Meta Functionals for Shape Representation ICCV 2019 Deep Meta Learning for Real-Time Target-Aware Visual Tracking ICCV 2019 Deep Online Learning Via Meta-Learning: Continual Adaptation for Model-Based RL ICLR 2019 Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information ICLR 2019 Discovery of Useful Questions as Auxiliary Tasks NeurIPS 2019 Domain Adaptive Dialog Generation via Meta Learning ACL 2019 DUT-NLP at MEDIQA 2019: An Adversarial Multi-Task Network to Jointly Model Recognizing Question Entailment and Question Answering ACL 2019 Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping MLHC 2019 Efficient Forward Architecture Search NeurIPS 2019