Autoencoder based approach for the mitigation of spurious correlations

1 code implementation • 27 Jun 2024 • Srinitish Srinivasan, Karthik Seemakurthy

Deep neural networks (DNNs) have exhibited remarkable performance across various tasks, yet their susceptibility to spurious correlations poses a significant challenge for out-of-distribution (OOD) generalization.

Head Detection

Detecting Side Effects of Adverse Drug Reactions Through Drug-Drug Interactions Using Graph Neural Networks and Self-Supervised Learning

1 code implementation • IEEE Access 2024 • OmKumar ChandraUmakantham, Srinitish Srinivasan, Varenya Pathak

At present, no standard method to detect such adverse drug reactions exists until otherwise reported by patients after the drug is released to the market.

Classification Self-Supervised Learning +1

Colour and Brush Stroke Pattern Recognition in Abstract Art using Modified Deep Convolutional Generative Adversarial Networks

1 code implementation • 27 Mar 2024 • Srinitish Srinivasan, Varenya Pathak

Further this paper explores the generated latent space by performing random walks to understand vector relationships between brush strokes and colours in the abstract art space and a statistical analysis of unstable outputs after a certain period of GAN training and compare its significant difference.