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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
Riemannian Geometric-based Meta Learning
AAAI 2025
SAMULE: Self-Learning Agents Enhanced by Multi-level Reflection
EMNLP 2025
MADS: Multi-Agent Dialogue Simulation for Diverse Persuasion Data Generation
EMNLP 2025
Dynamic Task Vector Grouping for Efficient Multi-Task Prompt Tuning
ACL 2025
LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection
ACL 2025
Task Generalization with Autoregressive Compositional Structure: Can Learning from $D$ Tasks Generalize to $D^T$ Tasks?
ICML 2025
Capture the Key in Reasoning to Enhance CoT Distillation Generalization
ACL 2025
RELIC: Enhancing Reward Model Generalization for Low-Resource Indic Languages with Few-Shot Examples
EMNLP 2025
Automate Strategy Finding with LLM in Quant Investment
EMNLP 2025
Improving Generalization in Meta-Learning via Meta-Gradient Augmentation
IJCAI 2025
ExpeTrans: LLMs Are Experiential Transfer Learners
ACL 2025
Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond
ACL 2025
In-Context Learning State Vector with Inner and Momentum Optimization
NIPS 2024
Learning to Defer to a Population: A Meta-Learning Approach
AISTATS 2024
Meta-Learned Kernel for Blind Super-Resolution Kernel Estimation
WACV 2024
Meta-Task Prompting Elicits Embeddings from Large Language Models
ACL 2024
POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation
ACL 2024
Learning via Surrogate PAC-Bayes
NIPS 2024
SEGO: Sequential Subgoal Optimization for Mathematical Problem-Solving
ACL 2024
Experiential Co-Learning of Software-Developing Agents
ACL 2024
CoIN: A Benchmark of Continual Instruction Tuning for Multimodel Large Language Models
NIPS 2024
Composing Biases by Using CP to Decompose Minimal Functional Dependencies for Acquiring Complex Formulae
AAAI 2024
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement
NIPS 2024
FeatWalk: Enhancing Few-Shot Classification through Local View Leveraging
AAAI 2024
Discovering plasticity rules that organize and maintain neural circuits
NIPS 2024
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