Faster Algorithms for Weighted Recursive State Machines. - Krishnendu Chatterjee; Bernhard Kragl; Samarth Mishra; Andreas Pavlogiannis (ESOP, 2017)

Incremental Object Learning From Contiguous Views. - Stefan Stojanov; Samarth Mishra; Ngoc Anh Thai; Nikhil Dhanda; Ahmad Humayun; Chen Yu 001; Linda B. Smith; James M. Rehg (CVPR, 2019)

Low Dimensional Visual Attributes: An Interpretable Image Encoding. - Pengkai Zhu; Ruizhao Zhu; Samarth Mishra; Venkatesh Saligrama (ICPR Workshops (3), 2020)

A novel hybrid approach for automated detection of retinal detachment using ultrasound images. - Joel Koh En Wei; U. Raghavendra; Anjan Gudigar; Ooi Chui Ping; Filippo Molinari; Samarth Mishra; Sinnakaruppan Mathavan; Rajiv Raman 002; U. Rajendra Acharya (Comput. Biol. Medicine, 2020)

Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency. - Samarth Mishra; Kate Saenko; Venkatesh Saligrama (BMVC, 2021)

Effectively Leveraging Attributes for Visual Similarity. - Samarth Mishra; Zhongping Zhang; Yuan Shen 001; Ranjitha Kumar; Venkatesh Saligrama; Bryan A. Plummer (CVPR Workshops, 2021)

Self-supervised Visual Attribute Learning for Fashion Compatibility. - Donghyun Kim 006; Kuniaki Saito; Samarth Mishra; Stan Sclaroff; Kate Saenko; Bryan A. Plummer (ICCVW, 2021)

VisDA-2021 Competition: Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data. - Dina Bashkirova; Dan Hendrycks; Donghyun Kim 006; Haojin Liao; Samarth Mishra; Chandramouli Rajagopalan; Kate Saenko; Kuniaki Saito; Burhan Ul Tayyab; Piotr Teterwak; Ben Usman (NeurIPS (Competition and Demos), 2021)

VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting. - Dina Bashkirova; Samarth Mishra; Diala Lteif; Piotr Teterwak; Donghyun Kim 006; Fadi M. Alladkani; James Akl; Berk Çalli; Sarah Adel Bargal; Kate Saenko; Daehan Kim; Minseok Seo; et al. (NeurIPS (Competition and Demos), 2021)

VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data. - Dina Bashkirova; Dan Hendrycks; Donghyun Kim 006; Samarth Mishra; Kate Saenko; Kuniaki Saito; Piotr Teterwak; Ben Usman (CoRR, 2021)

Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data. - Samarth Mishra; Rameswar Panda; Cheng Perng Phoo; Chun-Fu Richard Chen; Leonid Karlinsky; Kate Saenko; Venkatesh Saligrama; Rogério Schmidt Feris (CVPR, 2022)

How Transferable are Video Representations Based on Synthetic Data? - Yo-whan Kim; Samarth Mishra; SouYoung Jin; Rameswar Panda; Hilde Kuehne; Leonid Karlinsky; Venkatesh Saligrama; Kate Saenko; Aude Oliva; Rogério Feris (NeurIPS, 2022)

Learning Compositional Representations for Effective Low-Shot Generalization. - Samarth Mishra; Pengkai Zhu; Venkatesh Saligrama (CoRR, 2022)

Fine-grained Few-shot Recognition by Deep Object Parsing. - Ruizhao Zhu; Pengkai Zhu; Samarth Mishra; Venkatesh Saligrama (BMVC, 2023)

Learning Human Action Recognition Representations Without Real Humans. - Howard Zhong; Samarth Mishra; Donghyun Kim 006; SouYoung Jin; Rameswar Panda; Hilde Kuehne; Leonid Karlinsky; Venkatesh Saligrama; Aude Oliva; Rogério Feris (NeurIPS, 2023)

SynCDR : Training Cross Domain Retrieval Models with Synthetic Data. - Samarth Mishra; Kate Saenko; Venkatesh Saligrama (CoRR, 2024)

Interpretable Compositional Representations for Robust Few-Shot Generalization. - Samarth Mishra; Pengkai Zhu; Venkatesh Saligrama (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

SPARC: Score Prompting and Adaptive Fusion for Zero-Shot Multi-Label Recognition in Vision-Language Models. - Kevin Miller; Aditya Gangrade; Samarth Mishra; Kate Saenko; Venkatesh Saligrama (CVPR, 2025)

Enhancing Compositional Reasoning in Vision-Language Models with Synthetic Preference Data. - Samarth Mishra; Kate Saenko; Venkatesh Saligrama (CoRR, 2025)