Meta-Learning

TibGM: A Transferable and Information-Based Graphical Model Approach for Reinforcement Learning ICML 2019 Transferring Knowledge across Learning Processes ICLR 2019 Truncated Back-propagation for Bilevel Optimization AISTATS 2019 Universal Successor Features Approximators ICLR 2019 Unsupervised Curricula for Visual Meta-Reinforcement Learning NeurIPS 2019 Unsupervised Meta-Learning for Few-Shot Image Classification NeurIPS 2019 Variational Bayesian Optimal Experimental Design NeurIPS 2019 Zero-Shot Task Transfer CVPR 2019 Active DOP: A constituency treebank annotation tool with online learning COLING 2018 A Simple Neural Attentive Meta-Learner ICLR 2018 AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning ICML 2018 Bayesian Model-Agnostic Meta-Learning NeurIPS 2018 Been There, Done That: Meta-Learning with Episodic Recall ICML 2018 Bilevel Programming for Hyperparameter Optimization and Meta-Learning ICML 2018 Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments ICLR 2018 Continuous Learning in a Hierarchical Multiscale Neural Network ACL 2018 Counterexample-Driven Genetic Programming: Stochastic Synthesis of Provably Correct Programs IJCAI 2018 Data-Efficient Hierarchical Reinforcement Learning NeurIPS 2018 Differentiable plasticity: training plastic neural networks with backpropagation ICML 2018 Distributed Multitask Reinforcement Learning with Quadratic Convergence NeurIPS 2018 Dynamic Meta-Embeddings for Improved Sentence Representations EMNLP 2018 Evolved Policy Gradients NeurIPS 2018 GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms ICML 2018 Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace ICML 2018 Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies NeurIPS 2018