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Pytorch implementation of Robust Bi-Tempered Logistic Loss Based on Bregman Divergences

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bi-tempered-loss-pytorch

Pytorch implementation of Robust Bi-Tempered Logistic Loss Based on Bregman Divergences

This repository contains the direct translation from Tensorflow to Pytorch of the paper "Robust Bi-Tempered Logistic Loss Based on Bregman Divergences" (https://arxiv.org/abs/1906.03361). The repo translates the official Tensorflow repo which can be found here: https://github.com/google/bi-tempered-loss

To test the loss function with similar values to the test in the original repo, run the following file:

python test_loss.py

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Pytorch implementation of Robust Bi-Tempered Logistic Loss Based on Bregman Divergences

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