Meta-Learning

Federated Reconstruction: Partially Local Federated Learning NeurIPS 2021 Few-Round Learning for Federated Learning NeurIPS 2021 Few-Shot and Continual Learning With Attentive Independent Mechanisms ICCV 2021 Few-Shot Bayesian Optimization with Deep Kernel Surrogates ICLR 2021 Few Shot Dialogue State Tracking using Meta-learning EACL 2021 Few-Shot One-Class Classification via Meta-Learning AAAI 2021 FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization ICLR 2021 Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery NeurIPS 2021 Function Contrastive Learning of Transferable Meta-Representations ICML 2021 Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis NeurIPS 2021 Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability NeurIPS 2021 Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks NeurIPS 2021 Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation NeurIPS 2021 Gradient-based Hyperparameter Optimization Over Long Horizons NeurIPS 2021 Graph Differentiable Architecture Search with Structure Learning NeurIPS 2021 Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation AAAI 2021 Grounded Language Learning Fast and Slow ICLR 2021 Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning NeurIPS 2021 Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL NeurIPS 2021 How Fine-Tuning Allows for Effective Meta-Learning NeurIPS 2021 How Important is the Train-Validation Split in Meta-Learning? ICML 2021 How to transfer algorithmic reasoning knowledge to learn new algorithms? NeurIPS 2021 HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression EMNLP 2021 HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks ICLR 2021 Hyperparameter Tuning is All You Need for LISTA NeurIPS 2021