IEEE

Simultaneous Learning Loss for Improved Cross-Domain Knowledge Transfer

Abstract: Leveraging auxiliary data to improve performance on a target task is a potent strategy, yet it is often hindered by negative transfer, where domain misalignment degrades accuracy. We ...
IEEE

Global Cross-Entropy Loss for Deep Face Recognition

Abstract: Contemporary deep face recognition techniques predominantly utilize the Softmax loss function, designed based on the similarities between sample features and class prototypes. These ...
Frontiers

Effect of hemodialysis in end-stage renal disease patients on pulmonary function tests: a meta-analysis of cross-sectional studies

Background: Hemodialysis, the principal therapy for end-stage renal disease (ESRD), directly influences pulmonary mechanics by alleviation of fluid overload and uremic toxin accumulation. Hemodialysis ...
Scientific Research Publishing

Ho, Y. and Wookey, S. (2020) The Real-World-Weight Cross-Entropy Loss Function: Modeling the Costs of Mislabeling. IEEE Access, 8, 4806-4813.

ABSTRACT: Treatment-Resistant Depression (TRD) remains one of the most challenging subtypes of major depressive disorder, affecting approximately one-third of patients and leading to significant ...
Scientific Research Publishing

Zhou, Y., Wang, X., Zhang, M., Zhu, J., Zheng, R. and Wu, Q. (2019) MPCE: A Maximum Probability Based Cross Entropy Loss Function for Neural Network Classification. IEEE Access ...

ABSTRACT: Treatment-Resistant Depression (TRD) remains one of the most challenging subtypes of major depressive disorder, affecting approximately one-third of patients and leading to significant ...
GitHub

A comprehensive Python framework designed for exploring the loss landscapes of deep learning models.

Landscaper is available on PyPI, making it easy to install and integrate into your projects. @misc{https://doi.org/10.5281/zenodo.15874987, doi = {10.5281/ZENODO ...