281 citations · 692 across the 30 of their papers we have counts for
5 papers · 1 filter
DFORD: Directional Feedback based Online Ordinal Regression Learning
Naresh Manwani, M Elamparithy, Tanish Taneja
In this paper, we introduce directional feedback in the ordinal regression setting, in which the learner receives feedback on whether the predicted label is on the left or the righ…
Robust Object Detection with Pseudo Labels from VLMs using Per-Object Co-teaching
Uday Bhaskar, Rishabh Bhattacharya, Avinash Patel +3
Foundation models, especially vision-language models (VLMs), offer compelling zero-shot object detection for applications like autonomous driving, a domain where manual labelling i…
Achieving Fair PCA Using Joint Eigenvalue Decomposition
Vidhi Rathore, Naresh Manwani
Principal Component Analysis (PCA) is a widely used method for dimensionality reduction, but it often overlooks fairness, especially when working with data that includes demographi…
Optimal Strategies for Federated Learning Maintaining Client Privacy
Uday Bhaskar, Varul Srivastava, Avyukta Manjunatha Vummintala +2
Federated Learning (FL) emerged as a learning method to enable the server to train models over data distributed among various clients. These clients are protective about their data…
Predict Confidently, Predict Right: Abstention in Dynamic Graph Learning
Jayadratha Gayen, Himanshu Pal, Naresh Manwani +1
Many real-world systems can be modeled as dynamic graphs, where nodes and edges evolve over time, requiring specialized models to capture their evolving dynamics in risk-sensitive…