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Meta-Learning

1524 directly classified papers

Papers per year

Papers

Continual Learning Using a Kernel-Based Method Over Foundation Models AAAI 2025
ParZC: Parametric Zero-Cost Proxies for Efficient NAS AAAI 2025
ThinkSLM: Towards Reasoning in Small Language Models EMNLP 2025
Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation AAAI 2025
Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization JMLR 2025
Dipper: Diversity in Prompts for Producing Large Language Model Ensembles in Reasoning Tasks EMNLP 2025
LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection ACL 2025
AgentRM: Enhancing Agent Generalization with Reward Modeling ACL 2025
Generative Reviewer Agents: Scalable Simulacra of Peer Review EMNLP 2025
SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization ACL 2025
Bayes Meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes JMLR 2025
Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementation JMLR 2025
Task-Specific Preconditioner for Cross-Domain Few-Shot Learning AAAI 2025
HyperNVD: Accelerating Neural Video Decomposition via Hypernetworks CVPR 2025
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning AAAI 2025
ThinkTuning: Instilling Cognitive Reflections without Distillation EMNLP 2025
Visualising Policy-Reward Interplay to Inform Zeroth-Order Preference Optimisation of Large Language Models ACL 2025
Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers AAAI 2025
UniFORM: Towards Unified Framework for Anomaly Detection on Graphs AAAI 2025
MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning CVPR 2025
From Implicit Exploration to Structured Reasoning: Guideline and Refinement for LLMs EMNLP 2025
MPO: Boosting LLM Agents with Meta Plan Optimization EMNLP 2025
Mixture of insighTful Experts (MoTE): The Synergy of Reasoning Chains and Expert Mixtures in Self-Alignment ACL 2025
Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger ACL 2025
MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions AAAI 2025