Sahil Verma - RankMe

25 papers A* 3A 1B 1Journal 17Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation. CVPR Arnav M. Das, Gantavya Bhatt, Lilly Kumari, Sahil Verma, Jeff A. Bilmes
2025	J	`jnl`	Effective Backdoor Mitigation in Vision-Language Models Depends on the Pre-training Objective. Trans. Mach. Learn. Res. Sahil Verma, Gantavya Bhatt, Avi Schwarzschild, Soumye Singhal, Arnav Mohanty Das, Chirag Shah, John P. Dickerson, Pin-Yu Chen, Jeff A. Bilmes
2025	J	`jnl`	How Many Images Does It Take? Estimating Imitation Thresholds in Text-to-Image Models. Trans. Mach. Learn. Res. Sahil Verma, Royi Rassin, Arnav Mohanty Das, Gantavya Bhatt, Preethi Seshadri, Chirag Shah, Jeff A. Bilmes, Hannaneh Hajishirzi, Yanai Elazar
2025	A*	`conf`	MULTIGUARD: An Efficient Approach for AI Safety Moderation Across Languages and Modalities. EMNLP Sahil Verma, Keegan Hines, Jeff A. Bilmes, Charlotte Siska, Luke Zettlemoyer, Hila Gonen, Chandan Singh
2025	J	`jnl`	OMNIGUARD: An Efficient Approach for AI Safety Moderation Across Modalities. CoRR Sahil Verma, Keegan Hines, Jeff A. Bilmes, Charlotte Siska, Luke Zettlemoyer, Hila Gonen, Chandan Singh
2024	J	`jnl`	COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Learning. CoRR Arnav Mohanty Das, Gantavya Bhatt, Lilly Kumari, Sahil Verma, Jeff A. Bilmes
2024	J	`jnl`	Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review. ACM Comput. Surv. Sahil Verma, Varich Boonsanong, Minh Hoang, Keegan Hines, John Dickerson, Chirag Shah
2024	J	`jnl`	How Many Van Goghs Does It Take to Van Gogh? Finding the Imitation Threshold. CoRR Sahil Verma, Royi Rassin, Arnav Das, Gantavya Bhatt, Preethi Seshadri, Chirag Shah, Jeff A. Bilmes, Hannaneh Hajishirzi, Yanai Elazar
2023	J	`jnl`	Effective Backdoor Mitigation Depends on the Pre-training Objective. CoRR Sahil Verma, Gantavya Bhatt, Avi Schwarzschild, Soumye Singhal, Arnav Mohanty Das, Chirag Shah, John P. Dickerson, Jeff A. Bilmes
2023	A	`conf`	RecRec: Algorithmic Recourse for Recommender Systems. CIKM Sahil Verma, Ashudeep Singh, Varich Boonsanong, John P. Dickerson, Chirag Shah
2023	J	`jnl`	RecRec: Algorithmic Recourse for Recommender Systems. CoRR Sahil Verma, Ashudeep Singh, Varich Boonsanong, John P. Dickerson, Chirag Shah
2022	A*	`conf`	Amortized Generation of Sequential Algorithmic Recourses for Black-Box Models. AAAI Sahil Verma, Keegan Hines, John P. Dickerson
2021	J	`jnl`	Amortized Generation of Sequential Counterfactual Explanations for Black-box Models. CoRR Sahil Verma, Keegan Hines, John P. Dickerson
2021	J	`jnl`	Counterfactual Explanations for Machine Learning: Challenges Revisited. CoRR Sahil Verma, John P. Dickerson, Keegan Hines
2021	J	`jnl`	Debug-localize-repair: a symbiotic construction for heap manipulations. Formal Methods Syst. Des. Sahil Verma, Subhajit Roy
2021	J	`jnl`	Pitfalls of Explainable ML: An Industry Perspective. CoRR Sahil Verma, Aditya Lahiri, John P. Dickerson, Su-In Lee
2021	J	`jnl`	Removing biased data to improve fairness and accuracy. CoRR Sahil Verma, Michael D. Ernst, René Just
2020	J	`jnl`	Counterfactual Explanations for Machine Learning: A Review. CoRR Sahil Verma, John P. Dickerson, Keegan Hines
2020	J	`jnl`	Debug-Localize-Repair: A Symbiotic Construction for Heap Manipulations. CoRR Sahil Verma, Subhajit Roy
2020	—	`conf`	Facets of Fairness in Search and Recommendation. BIAS Sahil Verma, Ruoyuan Gao, Chirag Shah
2020	J	`jnl`	Facets of Fairness in Search and Recommendation. CoRR Sahil Verma, Ruoyuan Gao, Chirag Shah
2020	J	`jnl`	ShapeFlow: Dynamic Shape Interpreter for TensorFlow. CoRR Sahil Verma, Zhendong Su
2019	B	`conf`	Benchmarking Symbolic Execution Using Constraint Problems - Initial Results. ICTAI Sahil Verma, Roland H. C. Yap
2018	—	`conf`	Fairness definitions explained. FairWare@ICSE Sahil Verma, Julia Rubin
2017	—	`conf`	Synergistic debug-repair of heap manipulations. ESEC/SIGSOFT FSE Sahil Verma, Subhajit Roy