meta learning

Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning NeurIPS 2020 CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs CoRL 2020 Dissecting Span Identification Tasks with Performance Prediction EMNLP 2020 Extending Learnability to Auxiliary-Input Cryptographic Primitives and Meta-PAC Learning COLT 2020 FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation CVPR 2020 Hypernymy Detection for Low-Resource Languages via Meta Learning ACL 2020 Learning Low-Resource End-To-End Goal-Oriented Dialog for Fast and Reliable System Deployment ACL 2020 Learning To Stop While Learning To Predict ICML 2020 Make One-Shot Video Object Segmentation Efficient Again NeurIPS 2020 Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation AAAI 2020 Meta-learning for Mixed Linear Regression ICML 2020 Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies ICLR 2020 Meta-trained agents implement Bayes-optimal agents NeurIPS 2020 Multi-source Meta Transfer for Low Resource Multiple-Choice Question Answering ACL 2020 ROAM: Recurrently Optimizing Tracking Model CVPR 2020 VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning ICLR 2020 Zero-Shot Cross-Lingual Transfer with Meta Learning EMNLP 2020 Actively Seeking and Learning From Live Data CVPR 2019 Adversarial Attacks on Graph Neural Networks via Meta Learning ICLR 2019 Compositional generalization through meta sequence-to-sequence learning NeurIPS 2019 Deep Meta Metric Learning ICCV 2019 Face-Focused Cross-Stream Network for Deception Detection in Videos CVPR 2019 Instance-Level Meta Normalization CVPR 2019 Learning to Design RNA ICLR 2019 Learning to Generalize from Sparse and Underspecified Rewards ICML 2019