Meta-Learning

Meta Omnium: A Benchmark for General-Purpose Learning-To-Learn 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-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 MetaViewer: Towards a Unified Multi-View Representation CVPR 2023 MetaVL: Transferring In-Context Learning Ability From Language Models to Vision-Language Models ACL 2023 Multi-Domain Generalized Graph Meta Learning AAAI 2023 On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm NeurIPS 2023 Regularizing Neural Networks with Meta-Learning Generative Models NeurIPS 2023 Robust Graph Meta-Learning via Manifold Calibration with Proxy Subgraphs AAAI 2023 StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning CVPR 2023 Towards Reliable Neural Machine Translation with Consistency-Aware Meta-Learning AAAI 2023 Active Example Selection for In-Context Learning EMNLP 2022 AMAL: Meta Knowledge-Driven Few-Shot Adapter Learning EMNLP 2022 A Nested Bi-level Optimization Framework for Robust Few Shot Learning AAAI 2022 BERT Learns to Teach: Knowledge Distillation with Meta Learning ACL 2022 Boosting Natural Language Generation from Instructions with Meta-Learning EMNLP 2022 Bootstrapped Meta-Learning ICLR 2022 Bridge the Gap Between Architecture Spaces via A Cross-Domain Predictor NeurIPS 2022 Cross-Domain Few-Shot Graph Classification AAAI 2022 Dataset Distillation using Neural Feature Regression NeurIPS 2022 Hyperbolic Feature Augmentation via Distribution Estimation and Infinite Sampling on Manifolds NeurIPS 2022 Learning to Evolve on Dynamic Graphs (Student Abstract) AAAI 2022