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Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
With the ever-increasing number of pretrained models, machine learning p...
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Breaking the Paradox of Explainable Deep Learning
Deep Learning has achieved tremendous results by pushing the frontier of...
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Deep Power Laws for Hyperparameter Optimization
Hyperparameter optimization is an important subfield of machine learning...
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Dynamic and Efficient Gray-Box Hyperparameter Optimization for Deep Learning
Gray-box hyperparameter optimization techniques have recently emerged as...
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Regularization is all you Need: Simple Neural Nets can Excel on Tabular Data
Tabular datasets are the last "unconquered castle" for deep learning, wi...
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