435 citations · 529 across the 13 of their papers we have counts for
5 papers · 1 filter
What augmentations are sensitive to hyper-parameters and why?
Ch Muhammad Awais, Imad Eddine Ibrahim Bekkouch
We apply augmentations to our dataset to enhance the quality of our predictions and make our final models more resilient to noisy data and domain drifts. Yet the question remains,…
Hierarchical Transformer for Multilingual Machine Translation
Albina Khusainova, Adil Khan, Adín Ramírez Rivera +1
The choice of parameter sharing strategy in multilingual machine translation models determines how optimally parameter space is used and hence, directly influences ultimate transla…
On the Fairness of Generative Adversarial Networks (GANs)
Patrik Joslin Kenfack, Daniil Dmitrievich Arapov, Rasheed Hussain +2
Generative adversarial networks (GANs) are one of the greatest advances in AI in recent years. With their ability to directly learn the probability distribution of data, and then s…
Hyperspectral Image Classification: Artifacts of Dimension Reduction on Hybrid CNN
Muhammad Ahmad, Sidrah Shabbir, Rana Aamir Raza +3
Convolutional Neural Networks (CNN) has been extensively studied for Hyperspectral Image Classification (HSIC) more specifically, 2D and 3D CNN models have proved highly efficient…
Hyperspectral Image Classification-Traditional to Deep Models: A Survey for Future Prospects
Muhammad Ahmad, Sidrah Shabbir, Swalpa Kumar Roy +7
Hyperspectral Imaging (HSI) has been extensively utilized in many real-life applications because it benefits from the detailed spectral information contained in each pixel. Notably…