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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
STRIDE: Single-Video Based Temporally Continuous Occlusion-Robust 3D Pose Estimation
WACV 2025
Discarding the Crutches: Adaptive Parameter-Efficient Expert Meta-Learning for Continual Semantic Parsing
COLING 2025
Improving Generalization in Meta-Learning via Meta-Gradient Augmentation
IJCAI 2025
Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks
AAAI 2025
In-context Prompt-augmented Micro-video Popularity Prediction
AAAI 2025
LEMMA: Learning from Errors for MatheMatical Advancement in LLMs
ACL 2025
PROL : Rehearsal Free Continual Learning in Streaming Data via Prompt Online Learning
ICCV 2025
World Models with Hints of Large Language Models for Goal Achieving
NAACL 2025
SAMULE: Self-Learning Agents Enhanced by Multi-level Reflection
EMNLP 2025
Continual Learning Using a Kernel-Based Method Over Foundation Models
AAAI 2025
SMART: Simulated Students Aligned with Item Response Theory for Question Difficulty Prediction
EMNLP 2025
ParZC: Parametric Zero-Cost Proxies for Efficient NAS
AAAI 2025
Facilitating Cognitive Accessibility with LLMs: A Multi-Task Approach to Easy-to-Read Text Generation
EMNLP 2025
Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation
AAAI 2025
WebEvolver: Enhancing Web Agent Self-Improvement with Co-evolving World Model
EMNLP 2025
MPO: Boosting LLM Agents with Meta Plan Optimization
EMNLP 2025
Balanced Multi-Factor In-Context Learning for Multilingual Large Language Models
EMNLP 2025
RAISE: Reinforced Adaptive Instruction Selection For Large Language Models
EMNLP 2025
Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers
AAAI 2025
Task-Specific Preconditioner for Cross-Domain Few-Shot Learning
AAAI 2025
UniFORM: Towards Unified Framework for Anomaly Detection on Graphs
AAAI 2025
Understanding the Thinking Process of Reasoning Models: A Perspective from Schoenfeld’s Episode Theory
EMNLP 2025
Q-MAML: Quantum Model-Agnostic Meta-Learning for Variational Quantum Algorithms
AAAI 2025
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning
AAAI 2025
Instruct-of-Reflection: Enhancing Large Language Models Iterative Reflection Capabilities via Dynamic-Meta Instruction
NAACL 2025
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