Tag: meta learning
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Human-in-the-Loop Meta Bayesian Optimization for Fusion Energy
Discover how Human-in-the-Loop Meta Bayesian Optimization accelerates fusion energy research by combining expert insights with advanced machine learning.
LAM-PINN: Efficient Meta-Learning for Physics-Informed Neural Nets
Discover LAM-PINN, a novel meta-learning framework that boosts Physics-Informed Neural Networks by tackling task heterogeneity with modular design.
Meta-Aligner: Optimizing Multi-Objective LLM Alignment
Discover Meta-Aligner, a novel framework for dynamic, bidirectional optimization to align large language models with diverse human values effectively.
Mochi: Efficient Graph Models via Meta-Learning Alignment
Discover Mochi, a meta-learning framework that aligns pre-training and inference for faster, more efficient graph foundation models with superior performan...
Self-Improving Multi-Agent Systems via Textual Graph Optimization
Discover TPGO, a framework that boosts multi-agent system performance with self-improving textual parameter graph optimization and meta-learning.