Meta-Learning

Learning to Learn Faster from Human Feedback with Language Model Predictive Control RSS 2024 Learning to Retrieve Iteratively for In-Context Learning EMNLP 2024 Learning to Use Tools via Cooperative and Interactive Agents EMNLP 2024 Learning via Surrogate PAC-Bayes NeurIPS 2024 Lever LM: Configuring In-Context Sequence to Lever Large Vision Language Models NeurIPS 2024 Looped Transformers are Better at Learning Learning Algorithms ICLR 2024 MAMET at SemEval-2024 Task 7: Supervised Enhanced Reasoning Agent Model SemEval 2024 Mars: Situated Inductive Reasoning in an Open-World Environment NeurIPS 2024 Massive Editing for Large Language Models via Meta Learning ICLR 2024 MatrixNet: Learning over symmetry groups using learned group representations NeurIPS 2024 MedINST: Meta Dataset of Biomedical Instructions EMNLP 2024 MEND: Meta Demonstration Distillation for Efficient and Effective In-Context Learning ICLR 2024 Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving NeurIPS 2024 Meta-Controller: Few-Shot Imitation of Unseen Embodiments and Tasks in Continuous Control NeurIPS 2024 MetaCURL: Non-stationary Concave Utility Reinforcement Learning NeurIPS 2024 Meta-DiffuB: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration NeurIPS 2024 Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement NeurIPS 2024 Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning NeurIPS 2024 MetaJND: A Meta-Learning Approach for Just Noticeable Difference Estimation IJCAI 2024 Meta-Learned Kernel for Blind Super-Resolution Kernel Estimation WACV 2024 Meta Learning in Bandits within shared affine Subspaces AISTATS 2024 Meta-Learning Priors Using Unrolled Proximal Networks ICLR 2024 Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy IJCAI 2024 Metalearning with Very Few Samples Per Task COLT 2024 Meta-Reinforcement Learning via Exploratory Task Clustering AAAI 2024