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Artificial Intelligence
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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
Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning
NIPS 2024
In-Context Example Ordering Guided by Label Distributions
NAACL 2024
Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health
AAAI 2024
Towards Human-like Learning from Relational Structured Data
AAAI 2024
Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning
NIPS 2024
ADaPT: As-Needed Decomposition and Planning with Language Models
NAACL 2024
Grey-Box Bayesian Optimization for Sensor Placement in Assisted Living Environments
AAAI 2024
SIG: Speaker Identification in Literature via Prompt-Based Generation
AAAI 2024
Mothman at SemEval-2024 Task 9: An Iterative System for Chain-of-Thought Prompt Optimization
NAACL 2024
Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction
AAAI 2024
On the Stability and Generalization of Meta-Learning
NIPS 2024
Learning to Retrieve Iteratively for In-Context Learning
EMNLP 2024
ALF at SemEval-2024 Task 9: Exploring Lateral Thinking Capabilities of LMs through Multi-task Fine-tuning
NAACL 2024
WavLLM: Towards Robust and Adaptive Speech Large Language Model
EMNLP 2024
Gaussian Process Bandits for Top-k Recommendations
NIPS 2024
XMC-Agent : Dynamic Navigation over Scalable Hierarchical Index for Incremental Extreme Multi-label Classification
ACL 2024
Teaching Language Models to Self-Improve through Interactive Demonstrations
NAACL 2024
Practice Makes Perfect: Planning to Learning Skill Parameter Policies
RSS 2024
Metalearning with Very Few Samples Per Task
COLT 2024
Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms
NIPS 2024
XB-MAML: Learning Expandable Basis Parameters for Effective Meta-Learning with Wide Task Coverage
AISTATS 2024
Cross-Lingual Named Entity Recognition for Low-Resource Languages: A Hindi-Nepali Case Study Using Multilingual BERT Models
EMNLP 2024
Choosy Babies Need One Coach: Inducing Mode-Seeking Behavior in BabyLlama with Reverse KL Divergence
CONLL 2024
CoE-SQL: In-Context Learning for Multi-Turn Text-to-SQL with Chain-of-Editions
NAACL 2024
When Sparse Graph Representation Learning Falls into Domain Shift: Data Augmentation for Cross-Domain Graph Meta-Learning (Student Abstract)
AAAI 2024
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