Meta-Learning

Model Fusion for Personalized Learning ICML 2021 MTAAL: Multi-Task Adversarial Active Learning for Medical Named Entity Recognition and Normalization AAAI 2021 Multilingual and cross-lingual document classification: A meta-learning approach EACL 2021 Multi-Objective Meta Learning NeurIPS 2021 Multi-Pair Text Style Transfer for Unbalanced Data via Task-Adaptive Meta-Learning ACL 2021 Multi-task and meta-learning with sparse linear bandits UAI 2021 Multi-Task Reinforcement Learning with Context-based Representations ICML 2021 MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning ICML 2021 Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems NeurIPS 2021 Neural Architecture Search without Training ICML 2021 Noether Networks: meta-learning useful conserved quantities NeurIPS 2021 Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings AISTATS 2021 No Regrets for Learning the Prior in Bandits NeurIPS 2021 Objective Bound Conditional Gaussian Process for Bayesian Optimization ICML 2021 Offline Meta Reinforcement Learning -- Identifiability Challenges and Effective Data Collection Strategies NeurIPS 2021 Offline Meta-Reinforcement Learning with Advantage Weighting ICML 2021 One-shot Graph Neural Architecture Search with Dynamic Search Space AAAI 2021 On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning ICLR 2021 Online Meta-Learning via Learning with Layer-Distributed Memory NeurIPS 2021 On sensitivity of meta-learning to support data NeurIPS 2021 On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning NeurIPS 2021 Open Domain Generalization with Domain-Augmented Meta-Learning CVPR 2021 PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees ICML 2021 Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks ACL 2021 Parameter Prediction for Unseen Deep Architectures NeurIPS 2021