2 papers
cs.LG2023
GPU accelerated matrix factorization of large scale data using block based approach
Prasad Bhavana, Vineet Padmanabhan
Matrix Factorization (MF) on large scale data takes substantial time on a Central Processing Unit (CPU). While Graphical Processing Unit (GPU)s could expedite the computation of MF…
cs.CV2021
Decomposing the Deep: Finding Class Specific Filters in Deep CNNs
Akshay Badola, Cherian Roy, Vineet Padmanabhan +1
Interpretability of Deep Neural Networks has become a major area of exploration. Although these networks have achieved state of the art accuracy in many tasks, it is extremely diff…