Minimizing the Effect of Noise and Limited Dataset Size in Image Classification Using Depth Estimation as an Auxiliary Task with Deep Multitask Learning

no code implementations • 22 Aug 2022 • Khashayar Namdar, Partoo Vafaeikia, Farzad Khalvati

Generalizability is the ultimate goal of Machine Learning (ML) image classifiers, for which noise and limited dataset size are among the major concerns.

Depth Estimation Image Classification +1

Improving the Segmentation of Pediatric Low-Grade Gliomas through Multitask Learning

no code implementations • 29 Nov 2021 • Partoo Vafaeikia, Matthias W. Wagner, Uri Tabori, Birgit B. Ertl-Wagner, Farzad Khalvati

Brain tumor segmentation is a critical task for tumor volumetric analyses and AI algorithms.

Brain Tumor Segmentation Segmentation +1

A Brief Review of Deep Multi-task Learning and Auxiliary Task Learning

no code implementations • 2 Jul 2020 • Partoo Vafaeikia, Khashayar Namdar, Farzad Khalvati

Multi-task learning (MTL) optimizes several learning tasks simultaneously and leverages their shared information to improve generalization and the prediction of the model for each task.

Multi-Task Learning