Meta-Learning

Meta-Learning For Stochastic Gradient MCMC ICLR 2019 Meta-Learning Neural Bloom Filters ICML 2019 Meta-Learning Probabilistic Inference for Prediction ICLR 2019 Meta-Learning Representations for Continual Learning NeurIPS 2019 Meta-Learning to Detect Rare Objects ICCV 2019 Meta-learning with differentiable closed-form solvers ICLR 2019 Meta-Learning with Implicit Gradients NeurIPS 2019 Meta-Learning with Latent Embedding Optimization ICLR 2019 Meta Learning with Relational Information for Short Sequences NeurIPS 2019 Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning ICCV 2019 Meta Reinforcement Learning with Task Embedding and Shared Policy IJCAI 2019 Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs EMNLP 2019 Meta-Sim: Learning to Generate Synthetic Datasets ICCV 2019 Meta-Transfer Learning for Few-Shot Learning CVPR 2019 Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes MLHC 2019 Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning CoRL 2019 Model-Agnostic Meta-Learning for Relation Classification with Limited Supervision ACL 2019 Modeling the Long Term Future in Model-Based Reinforcement Learning ICLR 2019 Modelling the Dynamics of Multiagent Q-Learning in Repeated Symmetric Games: a Mean Field Theoretic Approach NeurIPS 2019 Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation NeurIPS 2019 Myopic Posterior Sampling for Adaptive Goal Oriented Design of Experiments ICML 2019 Network Pruning via Transformable Architecture Search NeurIPS 2019 Neural Graph Evolution: Towards Efficient Automatic Robot Design ICLR 2019 Neural Jump Stochastic Differential Equations NeurIPS 2019 Neural Relational Inference with Fast Modular Meta-learning NeurIPS 2019