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Found 2 papers, 1 papers with code
Improving Hyperparameter Optimization with Checkpointed Model Weights
In this work, we propose an HPO method for neural networks using logged checkpoints of the trained weights to guide future hyperparameter selections.
EVA-GAN: Enhanced Various Audio Generation via Scalable Generative Adversarial Networks
The advent of Large Models marks a new era in machine learning, significantly outperforming smaller models by leveraging vast datasets to capture and synthesize complex patterns.
Ranked #3 on
Speech Synthesis
on LibriTTS
(using extra training data)
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