Learning Paradigms

Image Deformation Meta-Networks for One-Shot Learning CVPR 2019 Induction Networks for Few-Shot Text Classification EMNLP 2019 Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks EMNLP 2019 Learning Options with Interest Functions AAAI 2019 Learning to Generalize from Sparse and Underspecified Rewards ICML 2019 Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification EMNLP 2019 Learning to Learn By Self-Critique NeurIPS 2019 Learning to Learn From Noisy Labeled Data CVPR 2019 Learning to Learn Gradient Aggregation by Gradient Descent IJCAI 2019 Learning to Learn Image Classifiers With Visual Analogy CVPR 2019 Learning-to-Learn Stochastic Gradient Descent with Biased Regularization ICML 2019 Learning to Learn with Conditional Class Dependencies ICLR 2019 Learning to Navigate the Web ICLR 2019 Learning to Self-Train for Semi-Supervised Few-Shot Classification NeurIPS 2019 LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning ICML 2019 Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Gradient Estimators for Reinforcement Learning NeurIPS 2019 Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks CVPR 2019 Machine Learning Based Heuristic Search Algorithms to Solve Birds of a Feather Card Game AAAI 2019 MAME : Model-Agnostic Meta-Exploration CoRL 2019 MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning AAAI 2019 MAT: Multi-Fingered Adaptive Tactile Grasping via Deep Reinforcement Learning CoRL 2019 Meta Architecture Search NeurIPS 2019 Meta-Descent for Online, Continual Prediction AAAI 2019 Meta-Inverse Reinforcement Learning with Probabilistic Context Variables NeurIPS 2019 Meta-Learning Convolutional Neural Architectures for Multi-Target Concrete Defect Classification With the COncrete DEfect BRidge IMage Dataset CVPR 2019