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Varun Manjunatha
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2020 – today
- 2024
- [c22]Samyadeep Basu, Nanxuan Zhao, Vlad I. Morariu, Soheil Feizi, Varun Manjunatha:
Localizing and Editing Knowledge In Text-to-Image Generative Models. ICLR 2024 - [i19]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 abs/2404.01261 (2024) - [i18]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 abs/2405.01008 (2024) - 2023
- [c21]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: 4746-4755 - [c20]Shufan Wang, Yixiao Song, Andrew Drozdov, Aparna Garimella, Varun Manjunatha, Mohit Iyyer:
kNN-LM Does Not Improve Open-ended Text Generation. EMNLP 2023: 15023-15037 - [i17]Shufan Wang, Yixiao Song, Andrew Drozdov, Aparna Garimella, Varun Manjunatha, Mohit Iyyer:
KNN-LM Does Not Improve Open-ended Text Generation. CoRR abs/2305.14625 (2023) - [i16]Samyadeep Basu, Nanxuan Zhao, Vlad I. Morariu, Soheil Feizi, Varun Manjunatha:
Localizing and Editing Knowledge in Text-to-Image Generative Models. CoRR abs/2310.13730 (2023) - 2022
- [j1]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): 3:1-3:52 (2022) - [c19]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: 1630-1637 - [c18]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: 7147-7155 - [c17]Sarthak Jain, Varun Manjunatha, Byron C. Wallace, Ani Nenkova:
Influence Functions for Sequence Tagging Models. EMNLP (Findings) 2022: 824-839 - [c16]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: 1450-1465 - [i15]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 abs/2207.07972 (2022) - [i14]Sarthak Jain, Varun Manjunatha, Byron C. Wallace, Ani Nenkova:
Influence Functions for Sequence Tagging Models. CoRR abs/2210.14177 (2022) - 2021
- [c15]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: 1583-1595 - [c14]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: 5652-5660 - [c13]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: 11443-11452 - [c12]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: 5972-5985 - [c11]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: 915-929 - [c10]Hiroshi Iida, Dung Thai, Varun Manjunatha, Mohit Iyyer:
TABBIE: Pretrained Representations of Tabular Data. NAACL-HLT 2021: 3446-3456 - [c9]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: 703-715 - [i13]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 abs/2103.06922 (2021) - [i12]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 abs/2104.07000 (2021) - [i11]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 abs/2104.08689 (2021) - [i10]Hiroshi Iida, Dung Thai, Varun Manjunatha, Mohit Iyyer:
TABBIE: Pretrained Representations of Tabular Data. CoRR abs/2105.02584 (2021) - [i9]Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu:
SelfDoc: Self-Supervised Document Representation Learning. CoRR abs/2106.03331 (2021) - 2020
- [c8]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: 313-322 - [c7]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: 11811-11820 - [c6]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: 12912-12921 - [i8]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 abs/2003.13197 (2020) - [i7]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 abs/2006.03204 (2020)
2010 – 2019
- 2019
- [c5]Varun Manjunatha, Nirat Saini, Larry S. Davis:
Explicit Bias Discovery in Visual Question Answering Models. CVPR 2019: 9562-9571 - 2018
- [b1]Varun Manjunatha:
Vision and Natural Language for Creative Applications, and their Analysis. University of Maryland, College Park, MD, USA, 2018 - [c4]Varun Manjunatha, Mohit Iyyer, Jordan L. Boyd-Graber, Larry S. Davis:
Learning to Color from Language. NAACL-HLT (2) 2018: 764-769 - [i6]Varun Manjunatha, Srikumar Ramalingam, Tim K. Marks, Larry S. Davis:
Class Subset Selection for Transfer Learning using Submodularity. CoRR abs/1804.00060 (2018) - [i5]Varun Manjunatha, Mohit Iyyer, Jordan L. Boyd-Graber, Larry S. Davis:
Learning to Color from Language. CoRR abs/1804.06026 (2018) - [i4]Varun Manjunatha, Nirat Saini, Larry S. Davis:
Explicit Bias Discovery in Visual Question Answering Models. CoRR abs/1811.07789 (2018) - 2017
- [c3]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: 6478-6487 - 2016
- [i3]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 abs/1611.05118 (2016) - 2015
- [c2]Mohit Iyyer, Varun Manjunatha, Jordan L. Boyd-Graber, Hal Daumé III:
Deep Unordered Composition Rivals Syntactic Methods for Text Classification. ACL (1) 2015: 1681-1691 - [c1]Sravanthi Bondugula, Varun Manjunatha, Larry S. Davis, David S. Doermann:
SHOE: Sibling Hashing with Output Embeddings. ACM Multimedia 2015: 823-826 - [i2]Sravanthi Bondugula, Varun Manjunatha, Larry S. Davis, David S. Doermann:
SHOE: Supervised Hashing with Output Embeddings. CoRR abs/1502.00030 (2015) - [i1]Fan Du, Joshua Brulé, Peter Enns, Varun Manjunatha, Yoav Segev:
MetroViz: Visual Analysis of Public Transportation Data. CoRR abs/1507.05215 (2015)
Coauthor Index
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last updated on 2024-08-08 20:13 CEST by the dblp team
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