Meta-Learning

Improving Generalization via Meta-Learning on Hard Samples CVPR 2024 Improving physics-informed neural networks with meta-learned optimization JMLR 2024 In-Context Example Ordering Guided by Label Distributions NAACL 2024 In-Context Learning State Vector with Inner and Momentum Optimization NeurIPS 2024 In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness NeurIPS 2024 In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery ACL 2024 Incorporating Test-Time Optimization into Training with Dual Networks for Human Mesh Recovery NeurIPS 2024 Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuse NeurIPS 2024 Inference and Verbalization Functions During In-Context Learning EMNLP 2024 Instance-Level Metalearning for Outlier Detection IJCAI 2024 Interpretable Meta-Learning of Physical Systems ICLR 2024 In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before an Ongoing Trajectory Terminates NeurIPS 2024 Investigating Large Language Models for Complex Word Identification in Multilingual and Multidomain Setups EMNLP 2024 IT2ACL Learning Easy-to-Hard Instructions via 2-Phase Automated Curriculum Learning for Large Language Models COLING 2024 Iterative Forward Tuning Boosts In-Context Learning in Language Models ACL 2024 Knowledge-centered conversational agents with a drive to learn NAACL 2024 Language Model Self-improvement by Reinforcement Learning Contemplation ICLR 2024 Large Language Models are In-context Teachers for Knowledge Reasoning EMNLP 2024 LaRS: Latent Reasoning Skills for Chain-of-Thought Reasoning EMNLP 2024 Learning Autonomous Driving Tasks via Human Feedbacks with Large Language Models EMNLP 2024 Learning Hierarchical Polynomials with Three-Layer Neural Networks ICLR 2024 Learning Logic Programs by Discovering Higher-Order Abstractions IJCAI 2024 Learning Not to Regret AAAI 2024 Learning to Ask Informative Questions: Enhancing LLMs with Preference Optimization and Expected Information Gain EMNLP 2024 Learning to Defer to a Population: A Meta-Learning Approach AISTATS 2024