Meta-Learning

Metalearning with Very Few Samples Per Task COLT 2024 MetaPhysiCa: Improving OOD Robustness in Physics-informed Machine Learning ICLR 2024 Meta-Point Learning and Refining for Category-Agnostic Pose Estimation CVPR 2024 MetaReflection: Learning Instructions for Language Agents using Past Reflections EMNLP 2024 Meta-Reinforcement Learning via Exploratory Task Clustering AAAI 2024 Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator NeurIPS 2024 MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity AAAI 2024 Meta-Tuning LLMs to Leverage Lexical Knowledge for Generalizable Language Style Understanding ACL 2024 MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning NeurIPS 2024 Meta-VBO: Utilizing Prior Tasks in Optimizing Risk Measures with Gaussian Processes ICLR 2024 Mixture of Adversarial LoRAs: Boosting Robust Generalization in Meta-Tuning NeurIPS 2024 Modelling Variability in Human Annotator Simulation ACL 2024 Neuroevolution of a Multi-Generator GAN (Student Abstract) AAAI 2024 Noise-Aware Differentially Private Regression via Meta-Learning NeurIPS 2024 On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices EMNLP 2024 On task-relevant loss functions in meta-reinforcement learning L4DC 2024 On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution NeurIPS 2024 On the Inductive Bias of Stacking Towards Improving Reasoning NeurIPS 2024 On the Stability and Generalization of Meta-Learning NeurIPS 2024 OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset NeurIPS 2024 Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs EMNLP 2024 PLAES: Prompt-generalized and Level-aware Learning Framework for Cross-prompt Automated Essay Scoring COLING 2024 PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning AAAI 2024 Proving Olympiad Algebraic Inequalities without Human Demonstrations NeurIPS 2024 Pushing the Limit of Fine-Tuning for Few-Shot Learning: Where Feature Reusing Meets Cross-Scale Attention AAAI 2024