Deep Unordered Composition Rivals Syntactic Methods for Text Classification. - Mohit Iyyer; Varun Manjunatha; Jordan L. Boyd-Graber; Hal Daumé III (ACL (1), 2015)

SHOE: Sibling Hashing with Output Embeddings. - Sravanthi Bondugula; Varun Manjunatha; Larry S. Davis; David S. Doermann (ACM Multimedia, 2015)

SHOE: Supervised Hashing with Output Embeddings. - Sravanthi Bondugula; Varun Manjunatha; Larry S. Davis; David S. Doermann (CoRR, 2015)

MetroViz: Visual Analysis of Public Transportation Data. - Fan Du; Joshua Brulé; Peter Enns; Varun Manjunatha; Yoav Segev (CoRR, 2015)

The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives. - Mohit Iyyer; Varun Manjunatha; Anupam Guha; Yogarshi Vyas; Jordan L. Boyd-Graber; Hal Daumé III; Larry S. Davis (CVPR, 2017)

Learning to Color from Language. - Varun Manjunatha; Mohit Iyyer; Jordan L. Boyd-Graber; Larry S. Davis (NAACL-HLT (2), 2018)

Class Subset Selection for Transfer Learning using Submodularity. - Varun Manjunatha; Srikumar Ramalingam; Tim K. Marks; Larry S. Davis (CoRR, 2018)

Vision and Natural Language for Creative Applications, and their Analysis. - Varun Manjunatha (2018)

Explicit Bias Discovery in Visual Question Answering Models. - Varun Manjunatha; Nirat Saini; Larry S. Davis (CVPR, 2019)

A Joint Model for Document Segmentation and Segment Labeling. - Joe Barrow; Rajiv Jain; Vlad I. Morariu; Varun Manjunatha; Douglas W. Oard; Philip Resnik (ACL, 2020)

Cross-Domain Document Object Detection: Benchmark Suite and Method. - Kai Li 012; Curtis Wigington; Chris Tensmeyer; Handong Zhao; Nikolaos Barmpalios; Vlad I. Morariu; Varun Manjunatha; Tong Sun 005; Yun Fu 001 (CVPR, 2020)

Generative-Discriminative Feature Representations for Open-Set Recognition. - Pramuditha Perera; Vlad I. Morariu; Rajiv Jain; Varun Manjunatha; Curtis Wigington; Vicente Ordonez; Vishal M. Patel (CVPR, 2020)

Syntopical Graphs for Computational Argumentation Tasks. - Joe Barrow; Rajiv Jain; Nedim Lipka; Franck Dernoncourt; Vlad I. Morariu; Varun Manjunatha; Douglas W. Oard; Philip Resnik; Henning Wachsmuth (ACL/IJCNLP (1), 2021)

SelfDoc: Self-Supervised Document Representation Learning. - Peizhao Li; Jiuxiang Gu; Jason Kuen; Vlad I. Morariu; Handong Zhao; Rajiv Jain; Varun Manjunatha; Hongfu Liu 001 (CVPR, 2021)

Black-Box Explanation of Object Detectors via Saliency Maps. - Vitali Petsiuk; Rajiv Jain; Varun Manjunatha; Vlad I. Morariu; Ashutosh Mehra 002; Vicente Ordonez; Kate Saenko (CVPR, 2021)

IGA: An Intent-Guided Authoring Assistant. - Simeng Sun; Wenlong Zhao 001; Varun Manjunatha; Rajiv Jain; Vlad I. Morariu; Franck Dernoncourt; Balaji Vasan Srinivasan; Mohit Iyyer (EMNLP (1), 2021)

Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models. - Mengnan Du; Varun Manjunatha; Rajiv Jain; Ruchi Deshpande; Franck Dernoncourt; Jiuxiang Gu; Tong Sun 005; Xia Hu 001 (NAACL-HLT, 2021)

TABBIE: Pretrained Representations of Tabular Data. - Hiroshi Iida; Dung Thai; Varun Manjunatha; Mohit Iyyer (NAACL-HLT, 2021)

Inducing Rich Interaction Structures Between Words for Document-Level Event Argument Extraction. - Amir Pouran Ben Veyseh; Franck Dernoncourt; Quan Hung Tran; Varun Manjunatha; Lidan Wang; Rajiv Jain; Doo Soon Kim; Walter Chang; Thien Huu Nguyen (PAKDD (2), 2021)

RPCL: A Framework for Improving Cross-Domain Detection with Auxiliary Tasks. - Kai Li 012; Curtis Wigington; Chris Tensmeyer; Vlad I. Morariu; Handong Zhao; Varun Manjunatha; Nikolaos Barmpalios; Yun Fu 001 (CoRR, 2021)

Transfer Learning and Prediction Consistency for Detecting Offensive Spans of Text. - Amir Pouran Ben Veyseh; Ning Xu 007; Quan Hung Tran; Varun Manjunatha; Franck Dernoncourt; Thien Huu Nguyen (ACL (Findings), 2022)

Keyphrase Prediction from Video Transcripts: New Dataset and Directions. - Amir Pouran Ben Veyseh; Quan Hung Tran; Seunghyun Yoon 002; Varun Manjunatha; Hanieh Deilamsalehy; Rajiv Jain; Trung Bui; Walter Chang; Franck Dernoncourt; Thien Huu Nguyen (COLING, 2022)

Influence Functions for Sequence Tagging Models. - Sarthak Jain; Varun Manjunatha; Byron C. Wallace; Ani Nenkova (EMNLP (Findings), 2022)

Certified Neural Network Watermarks with Randomized Smoothing. - Arpit Bansal; Ping-Yeh Chiang; Michael J. Curry; Rajiv Jain; Curtis Wigington; Varun Manjunatha; John P. Dickerson; Tom Goldstein (ICML, 2022)

Development and Evaluation of a Tool for Assisting Content Creators in Making PDF Files More Accessible. - Debashish Pradhan; Tripti Rajput; Aravind Jembu Rajkumar; Jonathan Lazar; Rajiv Jain; Vlad I. Morariu; Varun Manjunatha (ACM Trans. Access. Comput., 2022)

Improving Cross-Domain Detection with Self-Supervised Learning. - Kai Li 012; Curtis Wigington; Chris Tensmeyer; Vlad I. Morariu; Handong Zhao; Varun Manjunatha; Nikolaos Barmpalios; Yun Fu 001 (CVPR Workshops, 2023)

kNN-LM Does Not Improve Open-ended Text Generation. - Shufan Wang; Yixiao Song; Andrew Drozdov; Aparna Garimella; Varun Manjunatha; Mohit Iyyer (EMNLP, 2023)

Localizing and Editing Knowledge In Text-to-Image Generative Models. - Samyadeep Basu; Nanxuan Zhao; Vlad I. Morariu; Soheil Feizi; Varun Manjunatha (ICLR, 2024)

On Mechanistic Knowledge Localization in Text-to-Image Generative Models. - Samyadeep Basu; Keivan Rezaei; Priyatham Kattakinda; Vlad I. Morariu; Nanxuan Zhao; Ryan A. Rossi; Varun Manjunatha; Soheil Feizi (ICML, 2024)

FlexDoc: Flexible Document Adaptation through Optimizing both Content and Layout. - Yue Jiang 002; Christof Lutteroth; Rajiv Jain; Christopher Tensmeyer; Varun Manjunatha; Wolfgang Stuerzlinger; Vlad I. Morariu (VL/HCC, 2024)

FABLES: Evaluating faithfulness and content selection in book-length summarization. - Yekyung Kim; Yapei Chang; Marzena Karpinska; Aparna Garimella; Varun Manjunatha; Kyle Lo; Tanya Goyal; Mohit Iyyer (CoRR, 2024)

On Mechanistic Knowledge Localization in Text-to-Image Generative Models. - Samyadeep Basu; Keivan Rezaei; Priyatham Kattakinda; Ryan A. Rossi; Cherry Zhao; Vlad I. Morariu; Varun Manjunatha; Soheil Feizi (CoRR, 2024)

Persona-SQ: A Personalized Suggested Question Generation Framework For Real-world Documents. - Zihao Lin 003; Zichao Wang 001; Yuanting Pan; Varun Manjunatha; Ryan A. Rossi; Angela Lau; Lifu Huang; Tong Sun 005 (CoRR, 2024)

On Mechanistic Circuits for Extractive Question-Answering. - Samyadeep Basu; Vlad I. Morariu; Zichao Wang 001; Ryan A. Rossi; Cherry Zhao; Soheil Feizi; Varun Manjunatha (CoRR, 2025)

A Survey on Mechanistic Interpretability for Multi-Modal Foundation Models. - Zihao Lin 003; Samyadeep Basu; Mohammad Beigi; Varun Manjunatha; Ryan A. Rossi; Zichao Wang 001; Yufan Zhou 001; Sriram Balasubramanian; Arman Zarei; Keivan Rezaei; Ying Shen 006; Barry Menglong Yao; et al. (CoRR, 2025)

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality. - Mohamed Elmoghany; Ryan A. Rossi; Seunghyun Yoon 002; Subhojyoti Mukherjee; Eslam Mohamed Bakr; Puneet Mathur; Gang Wu 013; Viet Dac Lai; Nedim Lipka; Ruiyi Zhang 002; Varun Manjunatha; Chien Van Nguyen; et al. (CoRR, 2025)