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Meta-Learning

722 directly classified papers

Papers per year

Papers

Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning NIPS 2024
Meta-Learned Kernel for Blind Super-Resolution Kernel Estimation WACV 2024
MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity AAAI 2024
Fairness-Aware Meta-Learning via Nash Bargaining NIPS 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
FLORA: Fine-Grained Low-Rank Architecture Search for Vision Transformer WACV 2024
On the Stability and Generalization of Meta-Learning NIPS 2024
Efficient Quantum Agnostic Improper Learning of Decision Trees AISTATS 2024
Information-theoretic Analysis of Bayesian Test Data Sensitivity AISTATS 2024
Advancing Open-Set Domain Generalization Using Evidential Bi-Level Hardest Domain Scheduler NIPS 2024
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX NIPS 2024
Meta Learning in Bandits within shared affine Subspaces AISTATS 2024
Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study NIPS 2024
Feed-Forward Latent Domain Adaptation WACV 2024
On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution NIPS 2024
Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning NIPS 2024
PLAES: Prompt-generalized and Level-aware Learning Framework for Cross-prompt Automated Essay Scoring COLING 2024
Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations AAAI 2024
Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction AAAI 2024
Visual Redundancy Removal for Composite Images: A Benchmark Dataset and a Multi-Visual-Effects Driven Incremental Method AAAI 2024
Learning to Learn in Interactive Constraint Acquisition AAAI 2024
Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator NIPS 2024
DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning AAAI 2024