1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Addressing Bias Through Ensemble Learning and Regularized Fine-Tuning
Ahmed Radwan, Layan Zaafarani, Jetana Abudawood +2
Addressing biases in AI models is crucial for ensuring fair and accurate predictions. However, obtaining large, unbiased datasets for training can be challenging. This paper propos…
cs.CV2022★ 1 cited
MVTN: Learning Multi-View Transformations for 3D Understanding
Abdullah Hamdi, Faisal AlZahrani, Silvio Giancola +1
Multi-view projection techniques have shown themselves to be highly effective in achieving top-performing results in the recognition of 3D shapes. These methods involve learning ho…