Search Results for author:
Found 4 papers, 0 papers with code
DynaLay: An Introspective Approach to Dynamic Layer Selection for Deep Networks
Deep learning models have become increasingly computationally intensive, requiring extensive computational resources and time for both training and inference.
Pipeline-Invariant Representation Learning for Neuroimaging
We next propose two pipeline-invariant representation learning methodologies, MPSL and PXL, to improve robustness in classification performance and to capture similar neural network representations.
Routing and Placement of Macros using Deep Reinforcement Learning
Chip placement has been one of the most time consuming task in any semi conductor area, Due to this negligence, many projects are pushed and chips availability in real markets get delayed.
Real Time Multi-Object Detection for Helmet Safety
The National Football League and Amazon Web Services teamed up to develop the best sports injury surveillance and mitigation program via the Kaggle competition.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
