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Meta-Learning

357 directly classified papers

Papers per year

Papers

MetaSwarm at AbjadMed: Forensic Optimization and Class-Balanced Discovery for Medical Diglossia in Abjad Scripts EACL 2026
Context-aware Graph Meta-learning AAAI 2026
Decoupling Understanding from Reasoning via Problem Space Mapping for Small-Scale Model Reasoning AAAI 2026
Meta-Guided Sample Reweighting for Robust Cross-Modal Hashing Retrieval with Noisy Labels AAAI 2026
HLML-SNN：Fast Continual Learning in Spiking Neural Networks Achieved via Hebbian Learning-Driven Meta-Learning AAAI 2026
Intention Chain-of-Thought Prompting with Dynamic Routing for Code Generation AAAI 2026
Neural Architecture and Hyperparameter Selection Through Meta-Learning on Time Series AAAI 2026
First-Order Federated Bilevel Learning AAAI 2025
IOP: An Idempotent-Like Optimization Method on the Pareto Front of Hypernetwork AAAI 2025
Personalized Label Inference Attack in Federated Transfer Learning via Contrastive Meta Learning AAAI 2025
Making Large Vision Language Models to Be Good Few-Shot Learners AAAI 2025
Few-Shot Image Quality Assessment via Adaptation of Vision-Language Models ICCV 2025
MDFG: Multi-Dimensional Fine-Grained Modeling for Fatigue Detection AAAI 2025
Energy vs. Noise: Towards Robust Temporal Action Localization in Open-World AAAI 2025
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning AAAI 2025
AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors AAAI 2025
Q-MAML: Quantum Model-Agnostic Meta-Learning for Variational Quantum Algorithms AAAI 2025
Investigating the Zone of Proximal Development of Language Models for In-Context Learning NAACL 2025
Inefficiencies of Meta Agents for Agent Design EMNLP 2025
Personalized Dynamic Music Emotion Recognition with Dual-Scale Attention-Based Meta-Learning AAAI 2025
Learning on the Go: A Meta-learning Object Navigation Model ICCV 2025
ADELA: Accelerating Evolutionary Design of Machine Learning Pipelines with the Accompanying Surrogate Model AAAI 2025
Meta-Learning Dynamic Center Distance: Hard Sample Mining for Learning with Noisy Labels ICCV 2025
MultiProp Framework: Ensemble Models for Enhanced Cross-Lingual Propaganda Detection in Social Media and News using Data Augmentation, Text Segmentation, and Meta-Learning COLING 2025
Towards Real Unsupervised Anomaly Detection Via Confident Meta-Learning ICCV 2025