Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Learning Paradigms
Artificial Intelligence
›
Learning Paradigms
›
Meta-Learning
1524 directly classified papers
Papers per year
2003: 1
2005: 1
2006: 1
2007: 2
2008: 2
2009: 1
2010: 1
2011: 2
2012: 1
2013: 4
2014: 4
2015: 3
2016: 9
2017: 25
2018: 46
2019: 121
2020: 167
2021: 260
2022: 220
2023: 240
2024: 201
2025: 157
2026: 55
Papers
Limitations of Language Models in Arithmetic and Symbolic Induction
ACL 2023
Full Gradient Deep Reinforcement Learning for Average-Reward Criterion
L4DC 2023
Learning-to-Learn to Guide Random Search: Derivative-Free Meta Blackbox Optimization on Manifold
L4DC 2023
Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks
NIPS 2023
Regularizing Neural Networks with Meta-Learning Generative Models
NIPS 2023
HyperTuning: Toward Adapting Large Language Models without Back-propagation
ICML 2023
Effective Structured Prompting by Meta-Learning and Representative Verbalizer
ICML 2023
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning
ICML 2023
Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability
AAAI 2023
Episodic Multi-Task Learning with Heterogeneous Neural Processes
NIPS 2023
Combining Parameter-efficient Modules for Task-level Generalisation
EACL 2023
Random Grid Neural Processes for Parametric Partial Differential Equations
ICML 2023
Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment
AAAI 2023
Contextual Stochastic Bilevel Optimization
NIPS 2023
The Effect of Diversity in Meta-Learning
AAAI 2023
Learning to Select Pivotal Samples for Meta Re-weighting
AAAI 2023
Sample-efficient Multi-objective Molecular Optimization with GFlowNets
NIPS 2023
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning
NIPS 2023
Architecture, Dataset and Model-Scale Agnostic Data-Free Meta-Learning
CVPR 2023
KD-Zero: Evolving Knowledge Distiller for Any Teacher-Student Pairs
NIPS 2023
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection
NIPS 2023
Recasting Continual Learning as Sequence Modeling
NIPS 2023
Meta Omnium: A Benchmark for General-Purpose Learning-To-Learn
CVPR 2023
MetaFusion: Infrared and Visible Image Fusion via Meta-Feature Embedding From Object Detection
CVPR 2023
Meta Compositional Referring Expression Segmentation
CVPR 2023
<
1
…
21
22
23
…
61
>