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ORCIDSubhashini Venugopalan
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2020 – today
- 2024
[c25]Mina Lee
, Katy Ilonka Gero, John Joon Young Chung, Simon Buckingham Shum, Vipul Raheja, Hua Shen, Subhashini Venugopalan, Thiemo Wambsganss, David Zhou, Emad A. Alghamdi, Tal August, Avinash Bhat, Madiha Zahrah Choksi, Senjuti Dutta, Jin L. C. Guo, Md. Naimul Hoque, Yewon Kim, Simon Knight, Seyed Parsa Neshaei, Antonette Shibani, Disha Shrivastava, Lila Shroff, Agnia Sergeyuk, Jessi Stark, Sarah Sterman, Sitong Wang, Antoine Bosselut, Daniel Buschek, Joseph Chee Chang, Sherol Chen, Max Kreminski, Joonsuk Park, Roy Pea, Eugenia Ha Rim Rho, Zejiang Shen, Pao Siangliulue:
A Design Space for Intelligent and Interactive Writing Assistants. CHI 2024: 1054:1-1054:35- [c24]Katrin Tomanek, Jimmy Tobin, Subhashini Venugopalan, Richard Cave, Katie Seaver, Jordan R. Green, Rus Heywood:
Large Language Models As A Proxy For Human Evaluation In Assessing The Comprehensibility Of Disordered Speech Transcription. ICASSP 2024: 10846-10850 - [c23]Zheer Xu, Shanqing Cai, Mukund Varma T., Subhashini Venugopalan, Shumin Zhai:
SkipWriter: LLM-Powered Abbreviated Writing on Tablets. UIST 2024: 22:1-22:13 - [i29]Haining Pan, Nayantara Mudur, Will Taranto, Maria Tikhanovskaya, Subhashini Venugopalan, Yasaman Bahri, Michael P. Brenner, Eun-Ah Kim:
Quantum Many-Body Physics Calculations with Large Language Models. CoRR abs/2403.03154 (2024) - [i28]Mina Lee, Katy Ilonka Gero, John Joon Young Chung, Simon Buckingham Shum, Vipul Raheja, Hua Shen, Subhashini Venugopalan, Thiemo Wambsganss, David Zhou, Emad A. Alghamdi, Tal August, Avinash Bhat, Madiha Zahrah Choksi, Senjuti Dutta, Jin L. C. Guo, Md. Naimul Hoque, Yewon Kim, Simon Knight, Seyed Parsa Neshaei, Agnia Sergeyuk, Antonette Shibani, Disha Shrivastava, Lila Shroff, Jessi Stark, Sarah Sterman, Sitong Wang, Antoine Bosselut, Daniel Buschek, Joseph Chee Chang, Sherol Chen, Max Kreminski, Joonsuk Park, Roy Pea, Eugenia H. Rho, Shannon Zejiang Shen, Pao Siangliulue:
A Design Space for Intelligent and Interactive Writing Assistants. CoRR abs/2403.14117 (2024) - [i27]Shraman Pramanick, Rama Chellappa, Subhashini Venugopalan:
SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers. CoRR abs/2407.09413 (2024) - 2023
- [c22]Joel Shor, Ruyue Agnes Bi, Subhashini Venugopalan, Steven Ibara, Roman Goldenberg, Ehud Rivlin:
Clinical BERTScore: An Improved Measure of Automatic Speech Recognition Performance in Clinical Settings. ClinicalNLP@ACL 2023: 1-7 - [c21]Shanqing Cai, Subhashini Venugopalan, Katrin Tomanek, Shaun K. Kane, Meredith Ringel Morris, Richard Cave, Robert L. MacDonald, Jon Campbell, Blair Casey, Emily Kornman, Daniel E. Vance, Jay C. Beavers:
SpeakFaster Observer: Long-Term Instrumentation of Eye-Gaze Typing for Measuring AAC Communication. CHI Extended Abstracts 2023: 397:1-397:8 - [c20]Subhashini Venugopalan, Jimmy Tobin, Samuel J. Yang, Katie Seaver, Richard J. N. Cave, Pan-Pan Jiang, Neil Zeghidour, Rus Heywood, Jordan R. Green, Michael P. Brenner:
Speech Intelligibility Classifiers from 550k Disordered Speech Samples. ICASSP 2023: 1-5 - [c19]Mukund Varma T., Peihao Wang, Xuxi Chen, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang:
Is Attention All That NeRF Needs? ICLR 2023 - [i26]Joel Shor, Ruyue Agnes Bi, Subhashini Venugopalan, Steven Ibara, Roman Goldenberg, Ehud Rivlin:
Clinical BERTScore: An Improved Measure of Automatic Speech Recognition Performance in Clinical Settings. CoRR abs/2303.05737 (2023) - [i25]Subhashini Venugopalan, Jimmy Tobin, Samuel J. Yang, Katie Seaver, Richard J. N. Cave, Pan-Pan Jiang, Neil Zeghidour, Rus Heywood, Jordan R. Green, Michael P. Brenner:
Speech Intelligibility Classifiers from 550k Disordered Speech Samples. CoRR abs/2303.07533 (2023) - [i24]Shanqing Cai, Subhashini Venugopalan, Katie Seaver, Xiang Xiao, Katrin Tomanek, Sri Jalasutram, Meredith Ringel Morris, Shaun K. Kane, Ajit Narayanan, Robert L. MacDonald, Emily Kornman, Daniel E. Vance, Blair Casey, Steve M. Gleason, Philip Q. Nelson, Michael P. Brenner:
Using Large Language Models to Accelerate Communication for Users with Severe Motor Impairments. CoRR abs/2312.01532 (2023) - [i23]Katrin Tomanek, Shanqing Cai, Subhashini Venugopalan:
Parameter Efficient Tuning Allows Scalable Personalization of LLMs for Text Entry: A Case Study on Abbreviation Expansion. CoRR abs/2312.14327 (2023) - 2022
- [j2]Fernando Vieira, Subhashini Venugopalan, Alan S. Premasiri, Maeve McNally, Aren Jansen, Kevin McCloskey, Michael P. Brenner, Steven Perrin:
A machine-learning based objective measure for ALS disease severity. npj Digit. Medicine 5 (2022) - [c18]Joel Shor, Subhashini Venugopalan:
TRILLsson: Distilled Universal Paralinguistic Speech Representations. INTERSPEECH 2022: 356-360 - [c17]Shanqing Cai, Subhashini Venugopalan, Katrin Tomanek, Ajit Narayanan, Meredith Ringel Morris, Michael P. Brenner:
Context-Aware Abbreviation Expansion Using Large Language Models. NAACL-HLT 2022: 1261-1275 - [c16]Mukund Varma T., Xuxi Chen, Zhenyu Zhang, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang:
Sparse Winning Tickets are Data-Efficient Image Recognizers. NeurIPS 2022 - [i22]Joel Shor, Subhashini Venugopalan:
TRILLsson: Distilled Universal Paralinguistic Speech Representations. CoRR abs/2203.00236 (2022) - [i21]Shanqing Cai, Subhashini Venugopalan, Katrin Tomanek, Ajit Narayanan, Meredith Ringel Morris, Michael P. Brenner:
Context-Aware Abbreviation Expansion Using Large Language Models. CoRR abs/2205.03767 (2022) - [i20]Mukund Varma T., Peihao Wang, Xuxi Chen, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang:
Is Attention All NeRF Needs? CoRR abs/2207.13298 (2022) - [i19]Jimmy Tobin, Qisheng Li, Subhashini Venugopalan, Katie Seaver, Richard Cave, Katrin Tomanek:
Assessing ASR Model Quality on Disordered Speech using BERTScore. CoRR abs/2209.10591 (2022) - 2021
- [c15]Andrei Kapishnikov, Subhashini Venugopalan, Besim Avci, Ben Wedin, Michael Terry, Tolga Bolukbasi:
Guided Integrated Gradients: An Adaptive Path Method for Removing Noise. CVPR 2021: 5050-5058 - [c14]Subham Sekhar Sahoo, Subhashini Venugopalan, Li Li, Rishabh Singh, Patrick Riley:
Scaling Symbolic Methods using Gradients for Neural Model Explanation. ICLR 2021 - [c13]Subhashini Venugopalan, Joel Shor, Manoj Plakal, Jimmy Tobin, Katrin Tomanek, Jordan R. Green, Michael P. Brenner:
Comparing Supervised Models and Learned Speech Representations for Classifying Intelligibility of Disordered Speech on Selected Phrases. Interspeech 2021: 4843-4847 - [i18]Andrei Kapishnikov, Subhashini Venugopalan, Besim Avci, Ben Wedin, Michael Terry, Tolga Bolukbasi:
Guided Integrated Gradients: An Adaptive Path Method for Removing Noise. CoRR abs/2106.09788 (2021) - [i17]Subhashini Venugopalan, Joel Shor, Manoj Plakal, Jimmy Tobin, Katrin Tomanek, Jordan R. Green, Michael P. Brenner:
Comparing Supervised Models And Learned Speech Representations For Classifying Intelligibility Of Disordered Speech On Selected Phrases. CoRR abs/2107.03985 (2021) - [i16]Katy Blumer, Subhashini Venugopalan, Michael P. Brenner, Jon M. Kleinberg:
Using a Cross-Task Grid of Linear Probes to Interpret CNN Model Predictions On Retinal Images. CoRR abs/2107.11468 (2021) - 2020
- [c12]Shawn Xu, Subhashini Venugopalan, Mukund Sundararajan:
Attribution in Scale and Space. CVPR 2020: 9677-9686 - [c11]Arunachalam Narayanaswamy, Subhashini Venugopalan, Dale R. Webster, Lily Peng, Gregory S. Corrado, Paisan Ruamviboonsuk, Pinal Bavishi, Michael P. Brenner, Philip C. Nelson, Avinash V. Varadarajan:
Scientific Discovery by Generating Counterfactuals Using Image Translation. MICCAI (1) 2020: 273-283 - [i15]Shawn Xu, Subhashini Venugopalan, Mukund Sundararajan:
Attribution in Scale and Space. CoRR abs/2004.03383 (2020) - [i14]Subham Sekhar Sahoo, Subhashini Venugopalan, Li Li, Rishabh Singh, Patrick F. Riley:
Scaling Symbolic Methods using Gradients for Neural Model Explanation. CoRR abs/2006.16322 (2020) - [i13]Arunachalam Narayanaswamy, Subhashini Venugopalan, Dale R. Webster, Lily Peng, Greg Corrado, Paisan Ruamviboonsuk, Pinal Bavishi, Rory Sayres, Abigail E. Huang, Siva Balasubramanian, Michael P. Brenner, Philip Q. Nelson, Avinash V. Varadarajan:
Scientific Discovery by Generating Counterfactuals using Image Translation. CoRR abs/2007.05500 (2020) - [i12]Ashish Bora, Siva Balasubramanian, Boris Babenko, Sunny Virmani, Subhashini Venugopalan, Akinori Mitani, Guilherme de Oliveira Marinho, Jorge Cuadros, Paisan Ruamviboonsuk, Gregory S. Corrado, Lily Peng, Dale R. Webster, Avinash V. Varadarajan, Naama Hammel, Yun Liu, Pinal Bavishi:
Predicting Risk of Developing Diabetic Retinopathy using Deep Learning. CoRR abs/2008.04370 (2020)
2010 – 2019
- 2019
- [i11]Subhashini Venugopalan, Arunachalam Narayanaswamy, Samuel J. Yang, Anton Gerashcenko, Scott Lipnick, Nina Makhortova, James Hawrot, Christine Marques, Joao Pereira, Michael P. Brenner, Lee Rubin, Brian Wainger, Marc Berndl:
It's easy to fool yourself: Case studies on identifying bias and confounding in bio-medical datasets. CoRR abs/1912.07661 (2019) - 2018
- [i10]Avinash V. Varadarajan, Pinal Bavishi, Paisan Raumviboonsuk, Peranut Chotcomwongse, Subhashini Venugopalan, Arunachalam Narayanaswamy, Jorge Cuadros, Kuniyoshi Kanai, George Bresnick, Mongkol Tadarati, Sukhum Silpa-Archa, Jirawut Limwattanayingyong, Variya Nganthavee, Joe Ledsam, Pearse A. Keane, Gregory S. Corrado, Lily Peng, Dale R. Webster:
Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning. CoRR abs/1810.10342 (2018) - 2017
- [j1]Jeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach, Subhashini Venugopalan, Sergio Guadarrama, Kate Saenko, Trevor Darrell:
Long-Term Recurrent Convolutional Networks for Visual Recognition and Description. IEEE Trans. Pattern Anal. Mach. Intell. 39(4): 677-691 (2017) - [c10]Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Raymond J. Mooney, Trevor Darrell, Kate Saenko:
Captioning Images with Diverse Objects. CVPR 2017: 1170-1178 - [c9]Shagan Sah, Sourabh Kulhare, Allison Gray, Subhashini Venugopalan, Emily Prud'hommeaux, Raymond W. Ptucha:
Semantic Text Summarization of Long Videos. WACV 2017: 989-997 - [i9]Yun Liu, Krishna Gadepalli, Mohammad Norouzi, George E. Dahl, Timo Kohlberger, Aleksey Boyko, Subhashini Venugopalan, Aleksei Timofeev, Philip Q. Nelson, Gregory S. Corrado, Jason D. Hipp, Lily Peng, Martin C. Stumpe:
Detecting Cancer Metastases on Gigapixel Pathology Images. CoRR abs/1703.02442 (2017) - 2016
- [c8]Lisa Anne Hendricks, Subhashini Venugopalan, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko, Trevor Darrell:
Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data. CVPR 2016: 1-10 - [c7]Subhashini Venugopalan, Lisa Anne Hendricks, Raymond J. Mooney, Kate Saenko:
Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text. EMNLP 2016: 1961-1966 - [c6]Vasili Ramanishka, Abir Das, Dong Huk Park, Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Kate Saenko:
Multimodal Video Description. ACM Multimedia 2016: 1092-1096 - [i8]Subhashini Venugopalan, Lisa Anne Hendricks, Raymond J. Mooney, Kate Saenko:
Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text. CoRR abs/1604.01729 (2016) - [i7]Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Raymond J. Mooney, Trevor Darrell, Kate Saenko:
Captioning Images with Diverse Objects. CoRR abs/1606.07770 (2016) - [i6]Ronghang Hu, Marcus Rohrbach, Subhashini Venugopalan, Trevor Darrell:
Utilizing Large Scale Vision and Text Datasets for Image Segmentation from Referring Expressions. CoRR abs/1608.08305 (2016) - 2015
- [c5]Jeff Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Trevor Darrell, Kate Saenko:
Long-term recurrent convolutional networks for visual recognition and description. CVPR 2015: 2625-2634 - [c4]Subhashini Venugopalan, Marcus Rohrbach, Jeffrey Donahue, Raymond J. Mooney, Trevor Darrell, Kate Saenko:
Sequence to Sequence - Video to Text. ICCV 2015: 4534-4542 - [c3]Subhashini Venugopalan, Huijuan Xu, Jeff Donahue, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko:
Translating Videos to Natural Language Using Deep Recurrent Neural Networks. HLT-NAACL 2015: 1494-1504 - [i5]Subhashini Venugopalan, Marcus Rohrbach, Jeff Donahue, Raymond J. Mooney, Trevor Darrell, Kate Saenko:
Sequence to Sequence - Video to Text. CoRR abs/1505.00487 (2015) - [i4]Huijuan Xu, Subhashini Venugopalan, Vasili Ramanishka, Marcus Rohrbach, Kate Saenko:
A Multi-scale Multiple Instance Video Description Network. CoRR abs/1505.05914 (2015) - [i3]Lisa Anne Hendricks, Subhashini Venugopalan, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko, Trevor Darrell:
Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data. CoRR abs/1511.05284 (2015) - 2014
- [c2]Jesse Thomason, Subhashini Venugopalan, Sergio Guadarrama, Kate Saenko, Raymond J. Mooney:
Integrating Language and Vision to Generate Natural Language Descriptions of Videos in the Wild. COLING 2014: 1218-1227 - [i2]Jeff Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Kate Saenko, Trevor Darrell:
Long-term Recurrent Convolutional Networks for Visual Recognition and Description. CoRR abs/1411.4389 (2014) - [i1]Subhashini Venugopalan, Huijuan Xu, Jeff Donahue, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko:
Translating Videos to Natural Language Using Deep Recurrent Neural Networks. CoRR abs/1412.4729 (2014) - 2013
- [c1]Sergio Guadarrama, Niveda Krishnamoorthy, Girish Malkarnenkar, Subhashini Venugopalan, Raymond J. Mooney, Trevor Darrell, Kate Saenko:
YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition. ICCV 2013: 2712-2719
Coauthor Index
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last updated on 2024-10-23 21:21 CEST by the dblp team
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