We propose a new method to train machine learning models in the presence of noisy labels. Our approach combines distance to class centroids with discounting to reduce outlier samples. This method e…
This repository will contain the code for the perspective paper "Multimodal Neural Databases" accepted at SIGIR 2023. Code will be uploaded as soon as possible (realistically when I am done with th…
This repository will contain the code for the perspective paper "Multimodal Neural Databases" accepted at SIGIR 2023. Code will be uploaded as soon as possible (realistically when I am done with the lectures of this semester :) ))
We propose a new method to train machine learning models in the presence of noisy labels. Our approach combines distance to class centroids with discounting to reduce outlier samples. This method effectively addresses the issue of noisy labels.
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