Learning Paradigms

Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks ICML 2023 Meta-Learning of Prompt Generation for Lightweight Prompt Engineering on Language-Model-as-a-Service EMNLP 2023 Meta-Learning with Adjoint Methods AISTATS 2023 MetaMix: Towards Corruption-Robust Continual Learning With Temporally Self-Adaptive Data Transformation CVPR 2023 MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks ICML 2023 Meta Omnium: A Benchmark for General-Purpose Learning-To-Learn CVPR 2023 MetaPortrait: Identity-Preserving Talking Head Generation With Fast Personalized Adaptation CVPR 2023 Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning AAAI 2023 MetaReVision: Meta-Learning with Retrieval for Visually Grounded Compositional Concept Acquisition EMNLP 2023 Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization ICML 2023 Meta-Sketch: A Neural Data Structure for Estimating Item Frequencies of Data Streams AAAI 2023 MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning AAAI 2023 Meta-training with Demonstration Retrieval for Efficient Few-shot Learning ACL 2023 Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification IJCAI 2023 Meta-Tuning Loss Functions and Data Augmentation for Few-Shot Object Detection CVPR 2023 MetaVL: Transferring In-Context Learning Ability From Language Models to Vision-Language Models ACL 2023 MetaZSCIL: A Meta-Learning Approach for Generalized Zero-Shot Class Incremental Learning AAAI 2023 Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training? JMLR 2023 Mitigating Catastrophic Forgetting for Few-Shot Spoken Word Classification Through Meta-Learning Interspeech 2023 Mnemosyne: Learning to Train Transformers with Transformers NeurIPS 2023 Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM NeurIPS 2023 Modeling with Homophily Driven Heterogeneous Data in Gossip Learning IJCAI 2023 MORGAN: Meta-Learning-Based Few-Shot Open-Set Recognition via Generative Adversarial Network WACV 2023 Multi-Agent Best Arm Identification with Private Communications ICML 2023 Multi-Domain Generalized Graph Meta Learning AAAI 2023