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
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski