Meta-Learning

Joint Attribute and Model Generalization Learning for Privacy-Preserving Action Recognition NeurIPS 2023 Kalman Bayesian Neural Networks for Closed-Form Online Learning AAAI 2023 KD-Zero: Evolving Knowledge Distiller for Any Teacher-Student Pairs NeurIPS 2023 Latent Bottlenecked Attentive Neural Processes ICLR 2023 Learning an Explicit Hyper-parameter Prediction Function Conditioned on Tasks JMLR 2023 Learning Fast and Slow for Online Time Series Forecasting ICLR 2023 Learning From Noisy Labels With Decoupled Meta Label Purifier CVPR 2023 Learning Functional Transduction NeurIPS 2023 Learning In-context Learning for Named Entity Recognition ACL 2023 Learning Large-scale Neural Fields via Context Pruned Meta-Learning NeurIPS 2023 Learning Logical Reasoning Using an Intelligent Tutoring System: A Hybrid Approach to Student Modeling AAAI 2023 Learning Sequential Acquisition Policies for Robot-Assisted Feeding CoRL 2023 Learning to acquire novel cognitive tasks with evolution, plasticity and meta-meta-learning ICML 2023 Learning to Boost Training by Periodic Nowcasting Near Future Weights ICML 2023 Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning? ACL 2023 Learning to Learn from APIs: Black-Box Data-Free Meta-Learning ICML 2023 Learning-to-Learn to Guide Random Search: Derivative-Free Meta Blackbox Optimization on Manifold L4DC 2023 Learning to reason over visual objects ICLR 2023 Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt NeurIPS 2023 Learning to Select Pivotal Samples for Meta Re-weighting AAAI 2023 Learn TAROT with MENTOR: A Meta-Learned Self-Supervised Approach for Trajectory Prediction ICCV 2023 Lifelong bandit optimization: no prior and no regret UAI 2023 Lifelong Sequence Generation with Dynamic Module Expansion and Adaptation EMNLP 2023 Limitations of Language Models in Arithmetic and Symbolic Induction ACL 2023 Making Scalable Meta Learning Practical NeurIPS 2023