1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 1 cited
Survey on Self-supervised Representation Learning Using Image Transformations
Muhammad Ali, Sayed Hashim
Deep neural networks need huge amount of training data, while in real world there is a scarcity of data available for training purposes. To resolve these issues, self-supervised le…
cs.CV2022
TransformNet: Self-supervised representation learning through predicting geometric transformations
Sayed Hashim, Muhammad Ali
Deep neural networks need a big amount of training data, while in the real world there is a scarcity of data available for training purposes. To resolve this issue unsupervised met…
cs.LG2022
SubOmiEmbed: Self-supervised Representation Learning of Multi-omics Data for Cancer Type Classification
Sayed Hashim, Muhammad Ali, Karthik Nandakumar +1
For personalized medicines, very crucial intrinsic information is present in high dimensional omics data which is difficult to capture due to the large number of molecular features…