no code implementations • 20 Nov 2023 • Gundeep Arora, Srujana Merugu, Anoop Saladi, Rajeev Rastogi
Binary classification involves predicting the label of an instance based on whether the model score for the positive class exceeds a threshold chosen based on the application requirements (e. g., maximizing recall for a precision bound).
no code implementations • 10 Jul 2018 • Gundeep Arora, Anupreet Porwal, Kanupriya Agarwal, Avani Samdariya, Piyush Rai
The latent feature relational model (LFRM) is a generative model for graph-structured data to learn a binary vector representation for each node in the graph.
no code implementations • CVPR 2018 • Vinay Kumar Verma, Gundeep Arora, Ashish Mishra, Piyush Rai
Our model's ability to generate and leverage examples from unseen classes to train the classification model naturally helps to mitigate the bias towards predicting seen classes in generalized zero-shot learning settings.