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Meta-Learning

357 directly classified papers

Papers per year

Papers

Personalized Dynamic Music Emotion Recognition with Dual-Scale Attention-Based Meta-Learning AAAI 2025
Q-MAML: Quantum Model-Agnostic Meta-Learning for Variational Quantum Algorithms AAAI 2025
Augmenting Online Algorithms for Knapsack Problem with Total Weight Information AAAI 2025
Self Knowledge-Tracing for Tool Use (SKT-Tool): Helping LLM Agents Understand Their Capabilities in Tool Use NAACL 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
AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors AAAI 2025
Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks AAAI 2025
MDFG: Multi-Dimensional Fine-Grained Modeling for Fatigue Detection AAAI 2025
Inefficiencies of Meta Agents for Agent Design EMNLP 2025
Meta-Learning Dynamic Center Distance: Hard Sample Mining for Learning with Noisy Labels ICCV 2025
Learning on the Go: A Meta-learning Object Navigation Model ICCV 2025
On task-relevant loss functions in meta-reinforcement learning L4DC 2024
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX NIPS 2024
Meta Learning in Bandits within shared affine Subspaces AISTATS 2024
AZ-NAS: Assembling Zero-Cost Proxies for Network Architecture Search CVPR 2024
Learning New Tasks from a Few Examples with Soft-Label Prototypes ACL 2024
Pushing the Limit of Fine-Tuning for Few-Shot Learning: Where Feature Reusing Meets Cross-Scale Attention AAAI 2024
First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs NIPS 2024
MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity AAAI 2024
Meta-Diffu$B$: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration NIPS 2024
MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learning CVPR 2024
Symbolic Regression with a Learned Concept Library NIPS 2024
FedAvP: Augment Local Data via Shared Policy in Federated Learning NIPS 2024
Learning to Learn Better Visual Prompts AAAI 2024