Meta-Learning

Stochastic Neural Network with Kronecker Flow AISTATS 2020 Structured Prediction for Conditional Meta-Learning NeurIPS 2020 Submodular Meta-Learning NeurIPS 2020 Synthesizing Programmatic Policies that Inductively Generalize ICLR 2020 Task-Robust Model-Agnostic Meta-Learning NeurIPS 2020 The Advantage of Conditional Meta-Learning for Biased Regularization and Fine Tuning NeurIPS 2020 The Importance of the Test Set Size in Quantification Assessment IJCAI 2020 Thompson Sampling for Linearly Constrained Bandits AISTATS 2020 Towards Fast Adaptation of Neural Architectures with Meta Learning ICLR 2020 Towards Low-Resource Semi-Supervised Dialogue Generation with Meta-Learning EMNLP 2020 Tracking by Instance Detection: A Meta-Learning Approach CVPR 2020 Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization AAAI 2020 Uncertainty in Model-Agnostic Meta-Learning using Variational Inference WACV 2020 Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation CVPR 2020 Variational Metric Scaling for Metric-Based Meta-Learning AAAI 2020 VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning ICLR 2020 Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards ICLR 2020 What Can Learned Intrinsic Rewards Capture? ICML 2020 Zero-Shot Cross-Lingual Transfer with Meta Learning EMNLP 2020 A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs ICML 2019 ACE: Adapting to Changing Environments for Semantic Segmentation ICCV 2019 Actively Seeking and Learning From Live Data CVPR 2019 Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations EMNLP 2019 Adaptive Gradient-Based Meta-Learning Methods NeurIPS 2019 Addressing word-order Divergence in Multilingual Neural Machine Translation for extremely Low Resource Languages NAACL 2019