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Meta-Learning

722 directly classified papers

Papers per year

Papers

Meta-Learned Kernel for Blind Super-Resolution Kernel Estimation WACV 2024
MetaReflection: Learning Instructions for Language Agents using Past Reflections EMNLP 2024
MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity AAAI 2024
Scalable Meta-Learning with Gaussian Processes AISTATS 2024
XB-MAML: Learning Expandable Basis Parameters for Effective Meta-Learning with Wide Task Coverage AISTATS 2024
The Whole is Better than the Sum: Using Aggregated Demonstrations in In-Context Learning for Sequential Recommendation NAACL 2024
Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors IJCAI 2024
Is Prompt Transfer Always Effective? An Empirical Study of Prompt Transfer for Question Answering NAACL 2024
DC-NAS: Divide-and-Conquer Neural Architecture Search for Multi-Modal Classification AAAI 2024
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers NIPS 2024
FLORA: Fine-Grained Low-Rank Architecture Search for Vision Transformer WACV 2024
Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning NIPS 2024
Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction AAAI 2024
Efficient Quantum Agnostic Improper Learning of Decision Trees AISTATS 2024
Meta Learning in Bandits within shared affine Subspaces AISTATS 2024
SigmML: Metric Meta-Learning for Writer Independent Offline Signature Verification in the Space of SPD Matrices WACV 2024
Meta-Diffu$B$: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration NIPS 2024
Feed-Forward Latent Domain Adaptation WACV 2024
Fairness-Aware Meta-Learning via Nash Bargaining NIPS 2024
DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning AAAI 2024
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity NIPS 2024
Information-theoretic Analysis of Bayesian Test Data Sensitivity AISTATS 2024
Beyond Single Stationary Policies: Meta-Task Players as Naturally Superior Collaborators NIPS 2024
Proving Olympiad Algebraic Inequalities without Human Demonstrations NIPS 2024
Learning to Defer to a Population: A Meta-Learning Approach AISTATS 2024