3 papers
cs.CL2025
An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks
Mohammad Zia Ur Rehman, Aditya Shah, Nagendra Kumar
The global reach of social media has amplified the spread of hateful content, including implicit sexism, which is often overlooked by conventional detection methods. In this work,…
cs.LG2024
A Granger-Causal Perspective on Gradient Descent with Application to Pruning
Aditya Shah, Aditya Challa, Sravan Danda +2
Stochastic Gradient Descent (SGD) is the main approach to optimizing neural networks. Several generalization properties of deep networks, such as convergence to a flatter minima, a…
eess.IV2024★ 1 cited
Enhanced Breast Cancer Tumor Classification using MobileNetV2: A Detailed Exploration on Image Intensity, Error Mitigation, and Streamlit-driven Real-time Deployment
Aaditya Surya, Aditya Shah, Jarnell Kabore +1
This research introduces a sophisticated transfer learning model based on Google's MobileNetV2 for breast cancer tumor classification into normal, benign, and malignant categories,…