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cs.LG2024
Effects of Common Regularization Techniques on Open-Set Recognition
Zachary Rabin, Jim Davis, Benjamin Lewis +1
In recent years there has been increasing interest in the field of Open-Set Recognition, which allows a classification model to identify inputs as "unknown" when it encounters an o…
cs.LG2024
Overfitting In Contrastive Learning?
Zachary Rabin, Jim Davis, Benjamin Lewis +1
Overfitting describes a machine learning phenomenon where the model fits too closely to the training data, resulting in poor generalization. While this occurrence is thoroughly doc…