← Learning Paradigms
Artificial Intelligence › Learning Paradigms ›

Meta-Learning

1524 directly classified papers

Papers per year

Papers

Thompson Sampling with Diffusion Generative Prior ICML 2023
Limitations of Language Models in Arithmetic and Symbolic Induction ACL 2023
Meta-Learning the Inductive Bias of Simple Neural Circuits ICML 2023
Nonparametric Iterative Machine Teaching ICML 2023
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning NIPS 2023
Disentangled Multi-Fidelity Deep Bayesian Active Learning ICML 2023
Adaptive Compositional Continual Meta-Learning ICML 2023
Transformers as Algorithms: Generalization and Stability in In-context Learning ICML 2023
Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits ICML 2023
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems ICML 2023
End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes NIPS 2023
Harnessing Dataset Cartography for Improved Compositional Generalization in Transformers EMNLP 2023
Learning to Boost Training by Periodic Nowcasting Near Future Weights ICML 2023
MetaReVision: Meta-Learning with Retrieval for Visually Grounded Compositional Concept Acquisition EMNLP 2023
Meta-Learning of Prompt Generation for Lightweight Prompt Engineering on Language-Model-as-a-Service EMNLP 2023
Principled Acceleration of Iterative Numerical Methods Using Machine Learning ICML 2023
Meta-learning Parameterized Skills ICML 2023
Meta Optimal Transport ICML 2023
Meta-AdaM: An Meta-Learned Adaptive Optimizer with Momentum for Few-Shot Learning NIPS 2023
MGDD: A Meta Generator for Fast Dataset Distillation NIPS 2023
MeCo: Zero-Shot NAS with One Data and Single Forward Pass via Minimum Eigenvalue of Correlation NIPS 2023
Memory-Based Meta-Learning on Non-Stationary Distributions ICML 2023
SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning NIPS 2023
A Partially-Supervised Reinforcement Learning Framework for Visual Active Search NIPS 2023
Stabilized In-Context Learning with Pre-trained Language Models for Few Shot Dialogue State Tracking EACL 2023