Verma, Sahil

11 publications

ICLR 2026 Matched Data, Better Models: Target Aligned Data Filtering with Sparse Autoencoders Arnav Mohanty Das, Gantavya Bhatt, Sahil Verma, Yiping Wang, Viswa Virinchi Muppirala, Jeff Bilmes

CVPR 2025 COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Arnav M. Das, Gantavya Bhatt, Lilly Kumari, Sahil Verma, Jeff Bilmes

TMLR 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

TMLR 2025 How Many Images Does It Take? Estimating Imitation Thresholds in Text-to-Image Models Sahil Verma, Royi Rassin, Arnav Mohanty Das, Gantavya Bhatt, Preethi Seshadri, Chirag Shah, Jeff Bilmes, Hannaneh Hajishirzi, Yanai Elazar

ACML 2025 Kairos: Redefining Event and Time Prediction with Language Modeling Akash Gupta, Sahil Verma, Sumit Bisht, Nitika Verma, Purav Aggarwal, Venkata Phanindra Kumar Grandhi, Abhishek Persad

NeurIPSW 2024 How Many Van Goghs Does It Take to Van Gogh? Finding the Imitation Threshold Sahil Verma, Royi Rassin, Arnav Mohanty Das, Gantavya Bhatt, Preethi Seshadri, Chirag Shah, Jeff Bilmes, Hannaneh Hajishirzi, Yanai Elazar

NeurIPSW 2024 How Many Van Goghs Does It Take to Van Gogh? Finding the Imitation Threshold Sahil Verma, Royi Rassin, Arnav Mohanty Das, Gantavya Bhatt, Preethi Seshadri, Chirag Shah, Jeff Bilmes, Hannaneh Hajishirzi, Yanai Elazar

NeurIPSW 2023 Effective Backdoor Mitigation Depends on the Pre-Training Objective Sahil Verma, Gantavya Bhatt, Soumye Singhal, Arnav Mohanty Das, Chirag Shah, John P Dickerson, Jeff Bilmes

ACML 2023 Unveiling the Power of Self-Attention for Shipping Cost Prediction: The Rate Card Transformer P Aditya Sreekar, Sahil Verma, Varun Madhavan, Abhishek Persad

AAAI 2022 Amortized Generation of Sequential Algorithmic Recourses for Black-Box Models Sahil Verma, Keegan Hines, John P. Dickerson

NeurIPSW 2022 RecXplainer: Post-Hoc Attribute-Based Explanations for Recommender Systems Sahil Verma, Anurag Beniwal, Narayanan Sadagopan, Arjun Seshadri