Estimating Training Data Influence by Tracing Gradient Descent. - Garima Pruthi; Frederick Liu; Satyen Kale; Mukund Sundararajan (NeurIPS, 2020)

Estimating Training Data Influence by Tracking Gradient Descent. - Garima Pruthi; Frederick Liu; Mukund Sundararajan; Satyen Kale (CoRR, 2020)

KAFA: Rethinking Image Ad Understanding with Knowledge-Augmented Feature Adaptation of Vision-Language Models. - Zhiwei Jia; Pradyumna Narayana; Arjun R. Akula; Garima Pruthi; Hao Su 001; Sugato Basu; Varun Jampani (ACL (industry), 2023)

MetaCLUE: Towards Comprehensive Visual Metaphors Research. - Arjun R. Akula; Brendan Driscoll; Pradyumna Narayana; Soravit Changpinyo; Zhiwei Jia; Suyash Damle; Garima Pruthi; Sugato Basu; Leonidas J. Guibas; William T. Freeman; Yuanzhen Li; Varun Jampani (CVPR, 2023)

PRISM: A New Lens for Improved Color Understanding. - Arjun R. Akula; Garima Pruthi; Inderjit S. Dhillon; Pradyumna Narayana; Sugato Basu; Varun Jampani (EMNLP (Industry Track), 2024)

Preserving Product Fidelity in Large Scale Image Recontextualization with Diffusion Models. - Ishaan Malhi; Praneet Dutta; Ellie Talius; Sally Ma; Brendan Driscoll; Krista Holden; Garima Pruthi; Arunachalam Narayanaswamy (CoRR, 2025)