Varun Babbar

12 papers A* 2A 1Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
"What is Different Between These Datasets?" A Framework for Explaining Data Distribution Shifts.
J. Mach. Learn. Res.
Varun Babbar, Zhicheng Guo, Cynthia Rudin
2025 J jnl
Learning a consensus sub-network with polarization regularization and one pass training.
Data Min. Knowl. Discov.
Xiaoying Zhi, Varun Babbar, Rundong Liu, Pheobe Sun, Fran Silavong, Ruibo Shi, Sean J. Moran
2025 J jnl
Near Optimal Decision Trees in a SPLIT Second.
CoRR
Varun Babbar, Hayden McTavish, Cynthia Rudin, Margo I. Seltzer
2025 A* conf
Near-Optimal Decision Trees in a SPLIT Second.
ICML
Varun Babbar, Hayden McTavish, Cynthia Rudin, Margo I. Seltzer
2024 — conf
Topical: Automatic Repository Tagging using Attention on Hybrid Code Embeddings.
FinanSE@ICSE
Agathe Lherondelle, Varun Babbar, Yash Satsangi, Fran Silavong, Shaltiel Eloul, Sean J. Moran
2024 J jnl
What is different between these datasets?
CoRR
Varun Babbar, Zhicheng Guo, Cynthia Rudin
2023 J jnl
A New Baseline for GreenAI: Finding the Optimal Sub-Network via Layer and Channel Pruning.
CoRR
Xiaoying Zhi, Varun Babbar, Pheobe Sun, Fran Silavong, Ruibo Shi, Sean J. Moran
2022 A* conf
On the Utility of Prediction Sets in Human-AI Teams.
IJCAI
Varun Babbar, Umang Bhatt, Adrian Weller
2022 J jnl
On the Utility of Prediction Sets in Human-AI Teams.
CoRR
Varun Babbar, Umang Bhatt, Adrian Weller
2022 J jnl
ST-FL: Style Transfer Preprocessing in Federated Learning for COVID-19 Segmentation.
CoRR
Antonios Georgiadis, Varun Babbar, Fran Silavong, Sean J. Moran, Robert Otter
2022 A conf
Training a Task-Specific Image Reconstruction Loss.
WACV
Aamir Mustafa, Aliaksei Mikhailiuk, Dan-Andrei Iliescu, Varun Babbar, Rafal K. Mantiuk
2021 J jnl
Training a Better Loss Function for Image Restoration.
CoRR
Aamir Mustafa, Aliaksei Mikhailiuk, Dan-Andrei Iliescu, Varun Babbar, Rafal K. Mantiuk