Varun Manjunatha

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 38

Top Venues

CoRR

CVPR

NAACL-HLT

EMNLP

University of Maryland, College Park, MD, USA (PHD)

Education History

University of Maryland, College Park, MD, USA

PHD

Publications

Samyadeep Basu, Nanxuan Zhao, Vlad I. Morariu, Soheil Feizi, Varun Manjunatha
Localizing and Editing Knowledge In Text-to-Image Generative Models. ICLR (2024)
Yekyung Kim, Yapei Chang, Marzena Karpinska, Aparna Garimella, Varun Manjunatha, Kyle Lo, Tanya Goyal, Mohit Iyyer
FABLES: Evaluating faithfulness and content selection in book-length summarization. CoRR (2024)
Samyadeep Basu, Keivan Rezaei, Priyatham Kattakinda, Ryan Rossi, Cherry Zhao, Vlad I. Morariu, Varun Manjunatha, Soheil Feizi
On Mechanistic Knowledge Localization in Text-to-Image Generative Models. CoRR (2024)
Shufan Wang, Yixiao Song, Andrew Drozdov, Aparna Garimella, Varun Manjunatha, Mohit Iyyer
kNN-LM Does Not Improve Open-ended Text Generation. EMNLP (2023)
Samyadeep Basu, Nanxuan Zhao, Vlad I. Morariu, Soheil Feizi, Varun Manjunatha
Localizing and Editing Knowledge in Text-to-Image Generative Models. CoRR (2023)
Kai Li, Curtis Wigington, Chris Tensmeyer, Vlad I. Morariu, Handong Zhao, Varun Manjunatha, Nikolaos Barmpalios, Yun Fu
Improving Cross-Domain Detection with Self-Supervised Learning. CVPR Workshops (2023)
Shufan Wang, Yixiao Song, Andrew Drozdov, Aparna Garimella, Varun Manjunatha, Mohit Iyyer
KNN-LM Does Not Improve Open-ended Text Generation. CoRR (2023)
Sarthak Jain, Varun Manjunatha, Byron C. Wallace, Ani Nenkova
Influence Functions for Sequence Tagging Models. EMNLP (Findings) (2022)
Sarthak Jain, Varun Manjunatha, Byron C. Wallace, Ani Nenkova
Influence Functions for Sequence Tagging Models. CoRR (2022)
Amir Pouran Ben Veyseh, Quan Hung Tran, Seunghyun Yoon, Varun Manjunatha, Hanieh Deilamsalehy, Rajiv Jain, Trung Bui, Walter Chang, Franck Dernoncourt, Thien Huu Nguyen
Keyphrase Prediction from Video Transcripts: New Dataset and Directions. COLING (2022)
Debashish Pradhan, Tripti Rajput, Aravind Jembu Rajkumar, Jonathan Lazar, Rajiv Jain, Vlad I. Morariu, Varun Manjunatha
Development and Evaluation of a Tool for Assisting Content Creators in Making PDF Files More Accessible. ACM Trans. Access. Comput. 15 (1) (2022)
Arpit Bansal, Ping-yeh Chiang, Michael J. Curry, Rajiv Jain, Curtis Wigington, Varun Manjunatha, John P. Dickerson, Tom Goldstein
Certified Neural Network Watermarks with Randomized Smoothing. CoRR (2022)
Amir Pouran Ben Veyseh, Ning Xu, Quan Hung Tran, Varun Manjunatha, Franck Dernoncourt, Thien Huu Nguyen
Transfer Learning and Prediction Consistency for Detecting Offensive Spans of Text. ACL (Findings) (2022)
Arpit Bansal, Ping-Yeh Chiang, Michael J. Curry, Rajiv Jain, Curtis Wigington, Varun Manjunatha, John P. Dickerson, Tom Goldstein
Certified Neural Network Watermarks with Randomized Smoothing. ICML (2022)
Joe Barrow, Rajiv Jain, Nedim Lipka, Franck Dernoncourt, Vlad I. Morariu, Varun Manjunatha, Douglas W. Oard, Philip Resnik, Henning Wachsmuth
Syntopical Graphs for Computational Argumentation Tasks. ACL/IJCNLP (1) (2021)
Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu
SelfDoc: Self-Supervised Document Representation Learning. CVPR (2021)
Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu
SelfDoc: Self-Supervised Document Representation Learning. CoRR (2021)
Mengnan Du, Varun Manjunatha, Rajiv Jain, Ruchi Deshpande, Franck Dernoncourt, Jiuxiang Gu, Tong Sun, Xia Hu
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models. NAACL-HLT (2021)
Hiroshi Iida, Dung Thai, Varun Manjunatha, Mohit Iyyer
TABBIE: Pretrained Representations of Tabular Data. NAACL-HLT (2021)
Simeng Sun, Wenlong Zhao, Varun Manjunatha, Rajiv Jain, Vlad I. Morariu, Franck Dernoncourt, Balaji Vasan Srinivasan, Mohit Iyyer
IGA : An Intent-Guided Authoring Assistant. CoRR (2021)
Mengnan Du, Varun Manjunatha, Rajiv Jain, Ruchi Deshpande, Franck Dernoncourt, Jiuxiang Gu, Tong Sun, Xia Hu
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models. CoRR (2021)
Kai Li, Curtis Wigington, Chris Tensmeyer, Vlad I. Morariu, Handong Zhao, Varun Manjunatha, Nikolaos Barmpalios, Yun Fu
RPCL: A Framework for Improving Cross-Domain Detection with Auxiliary Tasks. CoRR (2021)
Amir Pouran Ben Veyseh, Franck Dernoncourt, Quan Hung Tran, Varun Manjunatha, Lidan Wang, Rajiv Jain, Doo Soon Kim, Walter Chang, Thien Huu Nguyen
Inducing Rich Interaction Structures Between Words for Document-Level Event Argument Extraction. PAKDD (2) (2021)
Vitali Petsiuk, Rajiv Jain, Varun Manjunatha, Vlad I. Morariu, Ashutosh Mehra, Vicente Ordonez, Kate Saenko
Black-Box Explanation of Object Detectors via Saliency Maps. CVPR (2021)
Hiroshi Iida, Dung Thai, Varun Manjunatha, Mohit Iyyer
TABBIE: Pretrained Representations of Tabular Data. CoRR (2021)
Simeng Sun, Wenlong Zhao, Varun Manjunatha, Rajiv Jain, Vlad I. Morariu, Franck Dernoncourt, Balaji Vasan Srinivasan, Mohit Iyyer
IGA: An Intent-Guided Authoring Assistant. EMNLP (1) (2021)
Joe Barrow, Rajiv Jain, Vlad I. Morariu, Varun Manjunatha, Douglas W. Oard, Philip Resnik
A Joint Model for Document Segmentation and Segment Labeling. ACL (2020)
Kai Li, Curtis Wigington, Chris Tensmeyer, Handong Zhao, Nikolaos Barmpalios, Vlad I. Morariu, Varun Manjunatha, Tong Sun, Yun Fu
Cross-Domain Document Object Detection: Benchmark Suite and Method. CVPR (2020)
Pramuditha Perera, Vlad I. Morariu, Rajiv Jain, Varun Manjunatha, Curtis Wigington, Vicente Ordonez, Vishal M. Patel
Generative-Discriminative Feature Representations for Open-Set Recognition. CVPR (2020)
Vitali Petsiuk, Rajiv Jain, Varun Manjunatha, Vlad I. Morariu, Ashutosh Mehra, Vicente Ordonez, Kate Saenko
Black-box Explanation of Object Detectors via Saliency Maps. CoRR (2020)
Kai Li, Curtis Wigington, Chris Tensmeyer, Handong Zhao, Nikolaos Barmpalios, Vlad I. Morariu, Varun Manjunatha, Tong Sun, Yun Fu
Cross-Domain Document Object Detection: Benchmark Suite and Method. CoRR (2020)
Varun Manjunatha, Nirat Saini, Larry S. Davis
Explicit Bias Discovery in Visual Question Answering Models. CVPR (2019)
Varun Manjunatha, Mohit Iyyer, Jordan L. Boyd-Graber, Larry S. Davis
Learning to Color from Language. CoRR (2018)
Varun Manjunatha, Srikumar Ramalingam, Tim K. Marks, Larry S. Davis
Class Subset Selection for Transfer Learning using Submodularity. CoRR (2018)
Varun Manjunatha, Nirat Saini, Larry S. Davis
Explicit Bias Discovery in Visual Question Answering Models. CoRR (2018)
Varun Manjunatha, Mohit Iyyer, Jordan L. Boyd-Graber, Larry S. Davis
Learning to Color from Language. NAACL-HLT (2) (2018)
Mohit Iyyer, Varun Manjunatha, Anupam Guha, Yogarshi Vyas, Jordan L. Boyd-Graber, Hal Daumé III, Larry S. Davis
The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives. CVPR (2017)
Mohit Iyyer, Varun Manjunatha, Anupam Guha, Yogarshi Vyas, Jordan L. Boyd-Graber, Hal Daumé III, Larry S. Davis
The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives. CoRR (2016)
Fan Du, Joshua Brulé, Peter Enns, Varun Manjunatha, Yoav Segev
MetroViz: Visual Analysis of Public Transportation Data. CoRR (2015)
Mohit Iyyer, Varun Manjunatha, Jordan L. Boyd-Graber, Hal Daumé III
Deep Unordered Composition Rivals Syntactic Methods for Text Classification. ACL (1) (2015)
Sravanthi Bondugula, Varun Manjunatha, Larry S. Davis, David S. Doermann
SHOE: Supervised Hashing with Output Embeddings. CoRR (2015)
Sravanthi Bondugula, Varun Manjunatha, Larry S. Davis, David S. Doermann
SHOE: Sibling Hashing with Output Embeddings. ACM Multimedia (2015)

Varun Manjunatha.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Varun Manjunatha