8 citations · 17 across the 4 of their papers we have counts for
4 papers
Making Sigmoid-MSE Great Again: Output Reset Challenges Softmax Cross-Entropy in Neural Network Classification
Kanishka Tyagi, Chinmay Rane, Ketaki Vaidya +3
This study presents a comparative analysis of two objective functions, Mean Squared Error (MSE) and Softmax Cross-Entropy (SCE) for neural network classification tasks. While SCE c…
Automated Sizing and Training of Efficient Deep Autoencoders using Second Order Algorithms
Kanishka Tyagi, Chinmay Rane, Michael Manry
We propose a multi-step training method for designing generalized linear classifiers. First, an initial multi-class linear classifier is found through regression. Then validation e…
Optimal Input Gain: All You Need to Supercharge a Feed-Forward Neural Network
Chinmay Rane, Kanishka Tyagi, Sanjeev Malalur +2
Linear transformation of the inputs alters the training performance of feed-forward networks that are otherwise equivalent. However, most linear transforms are viewed as a pre-proc…
Teacher-Student Knowledge Distillation for Radar Perception on Embedded Accelerators
Steven Shaw, Kanishka Tyagi, Shan Zhang
Many radar signal processing methodologies are being developed for critical road safety perception tasks. Unfortunately, these signal processing algorithms are often poorly suited…