Sahil Verma

According to our database, Sahil Verma authored at least 20 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

OMNIGUARD: An Efficient Approach for AI Safety Moderation Across Modalities.

Sahil Verma, Keegan Hines, Jeff Bilmes, Charlotte Siska, Luke Zettlemoyer, Hila Gonen, Chandan Singh

CoRR, May, 2025

Effective Backdoor Mitigation in Vision-Language Models Depends on the Pre-training Objective.

Sahil Verma, Gantavya Bhatt, Avi Schwarzschild, Soumye Singhal, Arnav Mohanty Das, Chirag Shah, John P. Dickerson, Pin-Yu Chen, Jeff Bilmes

Trans. Mach. Learn. Res., 2025

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation.

Arnav M. Das, Gantavya Bhatt, Lilly Kumari, Sahil Verma, Jeff Bilmes

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review.

Sahil Verma, Varich Boonsanong, Minh Hoang, Keegan Hines, John Dickerson, Chirag Shah

ACM Comput. Surv., December, 2024

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Learning.

Arnav Mohanty Das, Gantavya Bhatt, Lilly Kumari, Sahil Verma, Jeff Bilmes

CoRR, 2024

How Many Van Goghs Does It Take to Van Gogh? Finding the Imitation Threshold.

Sahil Verma, Royi Rassin, Arnav Das, Gantavya Bhatt, Preethi Seshadri, Chirag Shah, Jeff A. Bilmes, Hannaneh Hajishirzi, Yanai Elazar

CoRR, 2024

2023

Effective Backdoor Mitigation Depends on the Pre-training Objective.

Sahil Verma, Gantavya Bhatt, Avi Schwarzschild, Soumye Singhal, Arnav Mohanty Das, Chirag Shah, John P. Dickerson, Jeff A. Bilmes

CoRR, 2023

RecRec: Algorithmic Recourse for Recommender Systems.

Sahil Verma, Ashudeep Singh, Varich Boonsanong, John P. Dickerson, Chirag Shah

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Amortized Generation of Sequential Algorithmic Recourses for Black-Box Models.

Sahil Verma, Keegan Hines, John P. Dickerson

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Debug-localize-repair: a symbiotic construction for heap manipulations.

Sahil Verma, Subhajit Roy

Formal Methods Syst. Des., 2021

Pitfalls of Explainable ML: An Industry Perspective.

Sahil Verma, Aditya Lahiri, John P. Dickerson, Su-In Lee

CoRR, 2021

Counterfactual Explanations for Machine Learning: Challenges Revisited.

Sahil Verma, John P. Dickerson, Keegan Hines

CoRR, 2021

Amortized Generation of Sequential Counterfactual Explanations for Black-box Models.

Sahil Verma, Keegan Hines, John P. Dickerson

CoRR, 2021

Removing biased data to improve fairness and accuracy.

Sahil Verma, Michael D. Ernst, René Just

CoRR, 2021

2020

ShapeFlow: Dynamic Shape Interpreter for TensorFlow.

Sahil Verma, Zhendong Su

CoRR, 2020

Counterfactual Explanations for Machine Learning: A Review.

Sahil Verma, John P. Dickerson, Keegan Hines

CoRR, 2020

Facets of Fairness in Search and Recommendation.

Sahil Verma, Ruoyuan Gao, Chirag Shah

Proceedings of the Bias and Social Aspects in Search and Recommendation, 2020

2019

Benchmarking Symbolic Execution Using Constraint Problems - Initial Results.

Sahil Verma, Roland H. C. Yap

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018

Fairness definitions explained.

Sahil Verma, Julia Rubin

Proceedings of the International Workshop on Software Fairness, 2018

2017

Synergistic debug-repair of heap manipulations.

Sahil Verma, Subhajit Roy

Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering, 2017