sep-CMA-ES outperforms Adam on a combined aesthetic-plus-alignment objective when optimizing prompt embeddings for Stable Diffusion XL Turbo across 36 Parti Prompts and three weight settings.
Distilling the knowledge in a neural network
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A survey provides a task-based formalization of meta-learning and meta-RL while chronicling algorithms that lead to DeepMind's Adaptive Agent.
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Evolutionary Optimization Trumps Adam Optimization on Embedding Space Exploration
sep-CMA-ES outperforms Adam on a combined aesthetic-plus-alignment objective when optimizing prompt embeddings for Stable Diffusion XL Turbo across 36 Parti Prompts and three weight settings.
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Meta-Learning and Meta-Reinforcement Learning -- Tracing the Path towards DeepMind's Adaptive Agent
A survey provides a task-based formalization of meta-learning and meta-RL while chronicling algorithms that lead to DeepMind's Adaptive Agent.
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