WebJun 18, 2024 · BYOL: Bring Your Own Loss. How we improve delivery time estimation with a custom loss function. Dear connoisseurs, ... Looking at the graph, it is also important to highlight — the best model is not necessarily the one that has its MAE equals to 0. If I had a perfect model, I would probably anyway shift the predictions a little bit towards ... WebOct 20, 2024 · BYOL works even without batch statistics. Pierre H. Richemond, Jean-Bastien Grill, Florent Altché, Corentin Tallec, Florian Strub, Andrew Brock, Samuel Smith, Soham De, Razvan Pascanu, Bilal Piot, Michal Valko. Bootstrap Your Own Latent (BYOL) is a self-supervised learning approach for image representation. From an augmented view …
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