On Hyperparameter Tuning on the Test Set

cs.LG, cs.AI, cs.CV

Submitted: 2026-10-05

Updated: 2026-10-05

Code: https://github.com/microsoft/unilm

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Sources

• Black Magic in Deep Learning: How Human Skill Impacts Network Training
• Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping
• RoBERTa: A Robustly Optimized BERT Pretraining Approach
• Torch.manual_seed(3407) is all you need: On the influence of random seeds in deep learning architectures for computer vision
• Do CIFAR-10 Classifiers Generalize to CIFAR-10?
• Very Deep Convolutional Networks for Large-Scale Image Recognition
• Importance of Tuning Hyperparameters of Machine Learning Algorithms

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