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RaPiD: AI Accelerator for Ultra-low Precision Training and Inference.

S. Venkataramani, V. Srinivasan, W. Wang, S. Sen, J. Zhang, A. Agrawal, M. Kar, S. Jain, A. Mannari, H. Tran, Y. Li, E. Ogawa, K. Ishizaki, H. Inoue, M. Schaal, M. Serrano, J. Choi, X. Sun, N. Wang, C. Chen, A. Allain, J. Bonanno, N. Cao, R. Casatuta, M. Cohen, B. Fleischer, M. Guillorn, H. Haynie, J. Jung, M. Kang, K. Kim, S. Koswatta, S. Lee, M. Lutz, S. Mueller, J. Oh, A. Ranjan, Z. Ren, S. Rider, K. Schelm, M. Scheuermann, J. Silberman, J. Yang, V. Zalani, X. Zhang, C. Zhou, M. Ziegler, V. Shah, M. Ohara, P. Lu, B. Curran, S. Shukla, L. Chang, and K. Gopalakrishnan. ISCA, page 153-166. IEEE, (2021)

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Sanchari Roy

Nikhilranjan Sen

Ramen Sen

Sen Ye

Parimal Sen

Other publications of authors with the same name

Adversarial Sparsity Attacks on Deep Neural Networks.S. Krithivasan, S. Sen, and A. Raghunathan. CoRR, (2020)Approximate Computing for Long Short Term Memory (LSTM) Neural Networks.S. Sen, and A. Raghunathan. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 37 (11): 2266-2276 (2018)Approximate computing for spiking neural networks.S. Sen, S. Venkataramani, and A. Raghunathan. DATE, page 193-198. IEEE, (2017)Optimizing Transformers with Approximate Computing for Faster, Smaller and more Accurate NLP Models.A. Nagarajan, S. Sen, J. Stevens, and A. Raghunathan. CoRR, (2020)AxFormer: Accuracy-driven Approximation of Transformers for Faster, Smaller and more Accurate NLP Models.A. Nagarajan, S. Sen, J. Stevens, and A. Raghunathan. IJCNN, page 1-8. IEEE, (2022)A Programmable Event-driven Architecture for Evaluating Spiking Neural Networks.A. Roy, S. Venkataramani, N. Gala, S. Sen, K. Veezhinathan, and A. Raghunathan. ISLPED, page 1-6. IEEE, (2017)Deep Compression of Pre-trained Transformer Models.N. Wang, C. Liu, S. Venkataramani, S. Sen, C. Chen, K. Maghraoui, V. Srinivasan, and L. Chang. NeurIPS, (2022)Efficiency attacks on spiking neural networks.S. Krithivasan, S. Sen, N. Rathi, K. Roy, and A. Raghunathan. DAC, page 373-378. ACM, (2022)EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness Against Adversarial Attacks.S. Sen, B. Ravindran, and A. Raghunathan. ICLR, OpenReview.net, (2020)Quantifying the Brain Predictivity of Artificial Neural Networks With Nonlinear Response Mapping.A. Anand, S. Sen, and K. Roy. Frontiers Comput. Neurosci., (2021)

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Disambiguation of "Sen, Sanchari"

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RaPiD: AI Accelerator for Ultra-low Precision Training and Inference.

Please choose a person to relate this publication to

Sanchari Roy

Nikhilranjan Sen

Ramen Sen

Sen Ye

Parimal Sen

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Sen, Sanchari"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML RaPiD: AI Accelerator for Ultra-low Precision Training and Inference.

Please choose a person to relate this publication to

Sanchari Roy

Nikhilranjan Sen

Ramen Sen

Sen Ye

Parimal Sen

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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RaPiD: AI Accelerator for Ultra-low Precision Training and Inference.