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ORCIDVithursan Thangarasa
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2020 – today
- 2024
[c7]Vithursan Thangarasa, Mahmoud Salem, Shreyas Saxena, Chen-Yu Leong, Joel Hestness, Sean Lie:
MediSwift: Efficient Sparse Pre-trained Biomedical Language Models. ACL (Findings) 2024: 214-230- [c6]Vithursan Thangarasa, Shreyas Saxena, Abhay Gupta, Sean Lie:
Sparse-IFT: Sparse Iso-FLOP Transformations for Maximizing Training Efficiency. ICML 2024 - [i8]Vithursan Thangarasa, Mahmoud Salem, Shreyas Saxena, Kevin Leong, Joel Hestness, Sean Lie:
MediSwift: Efficient Sparse Pre-trained Biomedical Language Models. CoRR abs/2403.00952 (2024) - [i7]Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt D. Bollacker, Rishi Bomassani, Marisa Ferrara Boston, Siméon Campos, Kal Chakra, Canyu Chen, Cody Coleman, Zacharie Delpierre Coudert, Leon Derczynski, Debojyoti Dutta, Ian Eisenberg, James Ezick, Heather Frase, Brian Fuller, Ram Gandikota, Agasthya Gangavarapu, Ananya Gangavarapu, James Gealy, Rajat Ghosh, James Goel, Usman Gohar, Subhra S. Goswami, Scott A. Hale, Wiebke Hutiri, Joseph Marvin Imperial, Surgan Jandial, Nick Judd
, Felix Juefei-Xu, Foutse Khomh, Bhavya Kailkhura, Hannah Rose Kirk, Kevin Klyman, Chris Knotz, Michael Kuchnik, Shachi H. Kumar, Chris Lengerich, Bo Li, Zeyi Liao, Eileen Peters Long, Victor Lu, Yifan Mai, Priyanka Mary Mammen, Kelvin Manyeki, Sean McGregor, Virendra Mehta, Shafee Mohammed, Emanuel Moss, Lama Nachman, Dinesh Jinenhally Naganna, Amin Nikanjam, Besmira Nushi, Luis Oala, Iftach Orr, Alicia Parrish, Cigdem Patlak, William Pietri, Forough Poursabzi-Sangdeh, Eleonora Presani, Fabrizio Puletti, Paul Röttger, Saurav Sahay, Tim Santos, Nino Scherrer, Alice Schoenauer Sebag, Patrick Schramowski, Abolfazl Shahbazi, Vin Sharma, Xudong Shen, Vamsi Sistla, Leonard Tang, Davide Testuggine, Vithursan Thangarasa, Elizabeth Anne Watkins, Rebecca Weiss, Chris Welty, Tyler Wilbers, Adina Williams, Carole-Jean Wu, Poonam Yadav, Xianjun Yang, Yi Zeng, Wenhui Zhang, Fedor Zhdanov, Jiacheng Zhu, Percy Liang, Peter Mattson, Joaquin Vanschoren:
Introducing v0.5 of the AI Safety Benchmark from MLCommons. CoRR abs/2404.12241 (2024) - 2023
- [c5]Vitaliy Chiley, Vithursan Thangarasa, Abhay Gupta, Anshul Samar, Joel Hestness, Dennis DeCoste:
RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network. MLSys 2023 - [c4]Vithursan Thangarasa, Abhay Gupta, William Marshall, Tianda Li, Kevin Leong, Dennis DeCoste, Sean Lie, Shreyas Saxena:
SPDF: Sparse Pre-training and Dense Fine-tuning for Large Language Models. UAI 2023: 2134-2146 - [i6]Vithursan Thangarasa, Abhay Gupta, William Marshall, Tianda Li, Kevin Leong, Dennis DeCoste, Sean Lie, Shreyas Saxena:
SPDF: Sparse Pre-training and Dense Fine-tuning for Large Language Models. CoRR abs/2303.10464 (2023) - [i5]Shreyas Saxena, Vithursan Thangarasa, Abhay Gupta, Sean Lie:
Sparse Iso-FLOP Transformations for Maximizing Training Efficiency. CoRR abs/2303.11525 (2023) - 2022
- [i4]Vitaliy Chiley, Vithursan Thangarasa, Abhay Gupta, Anshul Samar, Joel Hestness, Dennis DeCoste:
RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network. CoRR abs/2206.14098 (2022) - 2021
- [i3]Mihir Pendse, Vithursan Thangarasa, Vitaliy Chiley, Ryan Holmdahl, Joel Hestness, Dennis DeCoste:
Memory Efficient 3D U-Net with Reversible Mobile Inverted Bottlenecks for Brain Tumor Segmentation. CoRR abs/2104.09648 (2021) - 2020
- [c3]Mihir Pendse, Vithursan Thangarasa, Vitaliy Chiley, Ryan Holmdahl, Joel Hestness, Dennis DeCoste:
Memory Efficient 3D U-Net with Reversible Mobile Inverted Bottlenecks for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2020: 388-397 - [c2]Vithursan Thangarasa, Thomas Miconi, Graham W. Taylor:
Enabling Continual Learning with Differentiable Hebbian Plasticity. IJCNN 2020: 1-8 - [i2]Vithursan Thangarasa, Thomas Miconi, Graham W. Taylor:
Enabling Continual Learning with Differentiable Hebbian Plasticity. CoRR abs/2006.16558 (2020)
2010 – 2019
- 2018
- [c1]Vithursan Thangarasa, Graham W. Taylor:
Self-Paced Learning with Adaptive Deep Visual Embeddings. BMVC 2018: 276 - [i1]Vithursan Thangarasa, Graham W. Taylor:
Self-Paced Learning with Adaptive Deep Visual Embeddings. CoRR abs/1807.09200 (2018)
Coauthor Index
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