Learning Paradigms

Meta-Learning Adaptive Knowledge Distillation for Efficient Biomedical Natural Language Processing AACL 2022 Meta-Learning based Deferred Optimisation for Sentiment and Emotion aware Multi-modal Dialogue Act Classification AACL 2022 Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting IJCAI 2022 Meta-Learning Dynamics Forecasting Using Task Inference NeurIPS 2022 Meta-Learning Fast Weight Language Models EMNLP 2022 Meta-Learning for Fast Cross-Lingual Adaptation in Dependency Parsing ACL 2022 Meta-Learning for Multi-Label Few-Shot Classification WACV 2022 Meta-Learning for Online Update of Recommender Systems AAAI 2022 Meta-Learning Hypothesis Spaces for Sequential Decision-making ICML 2022 Metalearning Linear Bandits by Prior Update AISTATS 2022 Meta Learning Low Rank Covariance Factors for Energy Based Deterministic Uncertainty ICLR 2022 Meta Learning MDPs with linear transition models AISTATS 2022 Meta-learning Pathologies from Radiology Reports using Variance Aware Prototypical Networks EMNLP 2022 Meta-Learning Priors for Safe Bayesian Optimization CoRL 2022 Meta-learning via Language Model In-context Tuning ACL 2022 Meta-learning without data via Wasserstein distributionally-robust model fusion UAI 2022 Meta-Learning with Self-Improving Momentum Target NeurIPS 2022 MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning NeurIPS 2022 Meta-Meta Classification for One-Shot Learning WACV 2022 MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning AAAI 2022 MetaPrompting: Learning to Learn Better Prompts COLING 2022 Meta Propagation Networks for Graph Few-shot Semi-supervised Learning AAAI 2022 Meta Reinforcement Learning with Finite Training Tasks - a Density Estimation Approach NeurIPS 2022 Meta-Reinforcement Learning with Self-Modifying Networks NeurIPS 2022 Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning NeurIPS 2022