Training a Better Loss Function for Image Restoration. - Aamir Mustafa; Aliaksei Mikhailiuk; Dan-Andrei Iliescu; Varun Babbar; Rafal K. Mantiuk (CoRR, 2021)

On the Utility of Prediction Sets in Human-AI Teams. - Varun Babbar; Umang Bhatt; Adrian Weller (IJCAI, 2022)

Training a Task-Specific Image Reconstruction Loss. - Aamir Mustafa; Aliaksei Mikhailiuk; Dan-Andrei Iliescu; Varun Babbar; Rafal K. Mantiuk (WACV, 2022)

ST-FL: Style Transfer Preprocessing in Federated Learning for COVID-19 Segmentation. - Antonios Georgiadis; Varun Babbar; Fran Silavong; Sean J. Moran; Robert Otter (CoRR, 2022)

A New Baseline for GreenAI: Finding the Optimal Sub-Network via Layer and Channel Pruning. - Xiaoying Zhi; Varun Babbar; Pheobe Sun; Fran Silavong; Ruibo Shi; Sean J. Moran (CoRR, 2023)

Topical: Automatic Repository Tagging using Attention on Hybrid Code Embeddings. - Agathe Lherondelle; Varun Babbar; Yash Satsangi; Fran Silavong; Shaltiel Eloul; Sean J. Moran (FinanSE@ICSE, 2024)

What is different between these datasets? - Varun Babbar; Zhicheng Guo; Cynthia Rudin (CoRR, 2024)

Near Optimal Decision Trees in a SPLIT Second. - Varun Babbar; Hayden McTavish; Cynthia Rudin; Margo I. Seltzer (CoRR, 2025)

Learning a consensus sub-network with polarization regularization and one pass training. - Xiaoying Zhi; Varun Babbar; Rundong Liu; Pheobe Sun; Fran Silavong; Ruibo Shi; Sean J. Moran (Data Min. Knowl. Discov., 2025)