Vithursan Thangarasa

According to our database, Vithursan Thangarasa authored at least 11 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Self-Data Distillation for Recovering Quality in Pruned Large Language Models.

Vithursan Thangarasa, Ganesh Venkatesh, Nish Sinnadurai, Sean Lie

CoRR, 2024

Introducing v0.5 of the AI Safety Benchmark from MLCommons.

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

CoRR, 2024

MediSwift: Efficient Sparse Pre-trained Biomedical Language Models.

Vithursan Thangarasa, Mahmoud Salem, Shreyas Saxena, Kevin Leong, Joel Hestness, Sean Lie

CoRR, 2024

Sparse-IFT: Sparse Iso-FLOP Transformations for Maximizing Training Efficiency.

Vithursan Thangarasa, Shreyas Saxena, Abhay Gupta, Sean Lie

Proceedings of the Forty-first International Conference on Machine Learning, 2024

MediSwift: Efficient Sparse Pre-trained Biomedical Language Models.

Vithursan Thangarasa, Mahmoud Salem, Shreyas Saxena, Chen-Yu Leong, Joel Hestness, Sean Lie

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Sparse Iso-FLOP Transformations for Maximizing Training Efficiency.

Shreyas Saxena, Vithursan Thangarasa, Abhay Gupta, Sean Lie

CoRR, 2023

SPDF: Sparse Pre-training and Dense Fine-tuning for Large Language Models.

Vithursan Thangarasa, Abhay Gupta, William Marshall, Tianda Li, Kevin Leong, Dennis DeCoste, Sean Lie, Shreyas Saxena

Proceedings of the Uncertainty in Artificial Intelligence, 2023

RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network.

Vitaliy Chiley, Vithursan Thangarasa, Abhay Gupta, Anshul Samar, Joel Hestness, Dennis DeCoste

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

2020

Enabling Continual Learning with Differentiable Hebbian Plasticity.

Vithursan Thangarasa, Thomas Miconi, Graham W. Taylor

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Memory Efficient 3D U-Net with Reversible Mobile Inverted Bottlenecks for Brain Tumor Segmentation.

Mihir Pendse, Vithursan Thangarasa, Vitaliy Chiley, Ryan Holmdahl, Joel Hestness, Dennis DeCoste

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2018

Self-Paced Learning with Adaptive Deep Visual Embeddings.

Vithursan Thangarasa, Graham W. Taylor

Proceedings of the British Machine Vision Conference 2018, 2018