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Found 4 papers, 0 papers with code
GLHF: General Learned Evolutionary Algorithm Via Hyper Functions
Pretrained Optimization Models (POMs) leverage knowledge gained from optimizing various tasks, providing efficient solutions for new optimization challenges through direct usage or fine-tuning.
EMOFM: Ensemble MLP mOdel with Feature-based Mixers for Click-Through Rate Prediction
WARNING: The comparison might not be fair enough since the proposed method is designed for this data in particular while compared methods are not.
SPELL: Semantic Prompt Evolution based on a LLM
Prompt engineering is a new paradigm for enhancing the performance of trained neural network models.
Pre-trained transformer for adversarial purification
It is frightening that deep neural networks are vulnerable and sensitive to adversarial attacks, the most common one of which for the services is evasion-based.
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