Subhashini Venugopalan

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 45

Top Topics

Multiple Instance

Automatic Speech Recognition

Scientific Papers

Top Venues

Publications

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)
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 (2024)
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)
Shraman Pramanick, Rama Chellappa, Subhashini Venugopalan
SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers. CoRR (2024)
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 (2024)
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 (2023)
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 (2023)
Katrin Tomanek, Shanqing Cai, Subhashini Venugopalan
Parameter Efficient Tuning Allows Scalable Personalization of LLMs for Text Entry: A Case Study on Abbreviation Expansion. CoRR (2023)
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)
Mukund Varma T, Peihao Wang, Xuxi Chen, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang
Is Attention All That NeRF Needs? ICLR (2023)
Shanqing Cai, Subhashini Venugopalan, Katrin Tomanek, Shaun K. Kane, Meredith Ringel Morris, Richard Cave, Robert MacDonald, Jon Campbell, Blair Casey, Emily Kornman, Daniel E. Vance, Jay Beavers
SpeakFaster Observer: Long-Term Instrumentation of Eye-Gaze Typing for Measuring AAC Communication. CHI Extended Abstracts (2023)
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)
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 (2023)
Mukund Varma T, Peihao Wang, Xuxi Chen, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang
Is Attention All NeRF Needs? CoRR (2022)
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)
Joel Shor, Subhashini Venugopalan
TRILLsson: Distilled Universal Paralinguistic Speech Representations. INTERSPEECH (2022)
Shanqing Cai, Subhashini Venugopalan, Katrin Tomanek, Ajit Narayanan, Meredith Ringel Morris, Michael P. Brenner
Context-Aware Abbreviation Expansion Using Large Language Models. CoRR (2022)
Jimmy Tobin, Qisheng Li, Subhashini Venugopalan, Katie Seaver, Richard Cave, Katrin Tomanek
Assessing ASR Model Quality on Disordered Speech using BERTScore. CoRR (2022)
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)
Mukund Varma T, Xuxi Chen, Zhenyu Zhang, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang
Sparse Winning Tickets are Data-Efficient Image Recognizers. NeurIPS (2022)
Joel Shor, Subhashini Venugopalan
TRILLsson: Distilled Universal Paralinguistic Speech Representations. CoRR (2022)
Subham Sekhar Sahoo, Subhashini Venugopalan, Li Li, Rishabh Singh, Patrick Riley
Scaling Symbolic Methods using Gradients for Neural Model Explanation. ICLR (2021)
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 (2021)
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)
Andrei Kapishnikov, Subhashini Venugopalan, Besim Avci, Ben Wedin, Michael Terry, Tolga Bolukbasi
Guided Integrated Gradients: An Adaptive Path Method for Removing Noise. CVPR (2021)
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 (2021)
Andrei Kapishnikov, Subhashini Venugopalan, Besim Avci, Ben Wedin, Michael Terry, Tolga Bolukbasi
Guided Integrated Gradients: An Adaptive Path Method for Removing Noise. CoRR (2021)
Arunachalam Narayanaswamy, Subhashini Venugopalan, Dale R. Webster, Lily Peng, Greg Corrado, Paisan Ruamviboonsuk, Pinal Bavishi, Rory Sayres, Abigail E. Huang, Siva Balasubramanian, Michael Brenner, Philip Q. Nelson, Avinash V. Varadarajan
Scientific Discovery by Generating Counterfactuals using Image Translation. CoRR (2020)
Shawn Xu, Subhashini Venugopalan, Mukund Sundararajan
Attribution in Scale and Space. CoRR (2020)
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 (2020)
Shawn Xu, Subhashini Venugopalan, Mukund Sundararajan
Attribution in Scale and Space. CVPR (2020)
Arunachalam Narayanaswamy, Subhashini Venugopalan, Dale R. Webster, Lily Peng, Gregory S. Corrado, Paisan Ruamviboonsuk, Pinal Bavishi, Michael Brenner, Philip C. Nelson, Avinash V. Varadarajan
Scientific Discovery by Generating Counterfactuals Using Image Translation. MICCAI (1) (2020)
Subham Sekhar Sahoo, Subhashini Venugopalan, Li Li, Rishabh Singh, Patrick F. Riley
Scaling Symbolic Methods using Gradients for Neural Model Explanation. CoRR (2020)
Subhashini Venugopalan, Arunachalam Narayanaswamy, Samuel J. Yang, Anton Gerashcenko, Scott Lipnick, Nina Makhortova, James Hawrot, Christine Marques, Joao Pereira, Michael 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 (2019)
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 (2018)
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 (2017)
Shagan Sah, Sourabh Kulhare, Allison Gray, Subhashini Venugopalan, Emily Prud'hommeaux, Raymond W. Ptucha
Semantic Text Summarization of Long Videos. WACV (2017)
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) (2017)
Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Raymond J. Mooney, Trevor Darrell, Kate Saenko
Captioning Images with Diverse Objects. CVPR (2017)
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)
Subhashini Venugopalan, Lisa Anne Hendricks, Raymond J. Mooney, Kate Saenko
Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text. CoRR (2016)
Ronghang Hu, Marcus Rohrbach, Subhashini Venugopalan, Trevor Darrell
Utilizing Large Scale Vision and Text Datasets for Image Segmentation from Referring Expressions. CoRR (2016)
Subhashini Venugopalan, Lisa Anne Hendricks, Raymond J. Mooney, Kate Saenko
Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text. EMNLP (2016)
Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Raymond J. Mooney, Trevor Darrell, Kate Saenko
Captioning Images with Diverse Objects. CoRR (2016)
Vasili Ramanishka, Abir Das, Dong Huk Park, Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Kate Saenko
Multimodal Video Description. ACM Multimedia (2016)
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 (2015)
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)
Subhashini Venugopalan, Marcus Rohrbach, Jeff Donahue, Raymond J. Mooney, Trevor Darrell, Kate Saenko
Sequence to Sequence - Video to Text. CoRR (2015)
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)
Huijuan Xu, Subhashini Venugopalan, Vasili Ramanishka, Marcus Rohrbach, Kate Saenko
A Multi-scale Multiple Instance Video Description Network. CoRR (2015)
Subhashini Venugopalan, Marcus Rohrbach, Jeffrey Donahue, Raymond J. Mooney, Trevor Darrell, Kate Saenko
Sequence to Sequence - Video to Text. ICCV (2015)
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 (2014)
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)
Subhashini Venugopalan, Huijuan Xu, Jeff Donahue, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko
Translating Videos to Natural Language Using Deep Recurrent Neural Networks. CoRR (2014)
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)