Fine-tune your Classifier: Finding Correlations With Temperature

no code implementations • 18 Oct 2022 • Benjamin Chamand, Olivier Risser-Maroix, Camille Kurtz, Philippe Joly, Nicolas Loménie

Temperature is a widely used hyperparameter in various tasks involving neural networks, such as classification or metric learning, whose choice can have a direct impact on the model performance.

Hyperparameter Optimization Metric Learning