Meta-Learning

Federated Meta-Learning for Fraudulent Credit Card Detection IJCAI 2020 Few-Shot Complex Knowledge Base Question Answering via Meta Reinforcement Learning EMNLP 2020 Few-Shot Learning of Video Action Recognition Only Based on Video Contents WACV 2020 Few-Shot Open-Set Recognition Using Meta-Learning CVPR 2020 Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning NeurIPS 2020 Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data ICML 2020 Graph Meta Learning via Local Subgraphs NeurIPS 2020 Graph Neural Architecture Search IJCAI 2020 How Should an Agent Practice? AAAI 2020 How the Duration of the Learning Period Affects the Performance of Random Gradient Selection Hyper-Heuristics AAAI 2020 Incremental Few-Shot Object Detection CVPR 2020 Intent Preference Decoupling for User Representation on Online Recommender System IJCAI 2020 Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work? ACL 2020 iTAML: An Incremental Task-Agnostic Meta-learning Approach CVPR 2020 Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning ICML 2020 Learning Compositional Rules via Neural Program Synthesis NeurIPS 2020 Learning Fast Adaptation on Cross-Accented Speech Recognition Interspeech 2020 Learning Fast and Robust Target Models for Video Object Segmentation CVPR 2020 Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks AAAI 2020 Learning Low-Resource End-To-End Goal-Oriented Dialog for Fast and Reliable System Deployment ACL 2020 Learning Meta Face Recognition in Unseen Domains CVPR 2020 Learning Meta Model for Zero- and Few-Shot Face Anti-Spoofing AAAI 2020 Learning Query Inseparable εℒℋ Ontologies AAAI 2020 Learning to Auto Weight: Entirely Data-Driven and Highly Efficient Weighting Framework AAAI 2020 Learning to Learn Cropping Models for Different Aspect Ratio Requirements CVPR 2020