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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
In-Context Example Ordering Guided by Label Distributions
NAACL 2024
All in One: Multi-task Prompting for Graph Neural Networks (Extended Abstract)
IJCAI 2024
First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs
NIPS 2024
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting
IJCAI 2024
FREE: Faster and Better Data-Free Meta-Learning
CVPR 2024
Hacking Task Confounder in Meta-Learning
IJCAI 2024
Meta-Reinforcement Learning via Exploratory Task Clustering
AAAI 2024
VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought
NIPS 2024
Symplectic Neural Gaussian Processes for Meta-learning Hamiltonian Dynamics
IJCAI 2024
Any-Way Meta Learning
AAAI 2024
Meta-Learned Kernel for Blind Super-Resolution Kernel Estimation
WACV 2024
Towards Autonomous Tool Utilization in Language Models: A Unified, Efficient and Scalable Framework
COLING 2024
MetaJND: A Meta-Learning Approach for Just Noticeable Difference Estimation
IJCAI 2024
A Metalearned Neural Circuit for Nonparametric Bayesian Inference
NIPS 2024
Inference and Verbalization Functions During In-Context Learning
EMNLP 2024
BigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological Measurements
WACV 2024
Large Language Models are In-context Teachers for Knowledge Reasoning
EMNLP 2024
Tree-Instruct: A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment
COLING 2024
SynPrompt: Syntax-aware Enhanced Prompt Engineering for Aspect-based Sentiment Analysis
COLING 2024
ADaPT: As-Needed Decomposition and Planning with Language Models
NAACL 2024
Noise-Aware Differentially Private Regression via Meta-Learning
NIPS 2024
MetaVers: Meta-Learned Versatile Representations for Personalized Federated Learning
WACV 2024
Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving
NIPS 2024
IT2ACL Learning Easy-to-Hard Instructions via 2-Phase Automated Curriculum Learning for Large Language Models
COLING 2024
HyperLoRA: Efficient Cross-task Generalization via Constrained Low-Rank Adapters Generation
EMNLP 2024
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