Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

ViTALiTy: Unifying Low-rank and Sparse Approximation for Vision Transformer Acceleration with a Linear Taylor Attention.

J. Dass, S. Wu, H. Shi, C. Li, Z. Ye, Z. Wang, and Y. Lin. HPCA, page 415-428. IEEE, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Annette Dass

Pawlok Dass

Martin Dass

Hartwig Daß

Klaus Dass

Other publications of authors with the same name

ViTALiTy: Unifying Low-rank and Sparse Approximation for Vision Transformer Acceleration with a Linear Taylor Attention.J. Dass, S. Wu, H. Shi, C. Li, Z. Ye, Z. Wang, and Y. Lin. HPCA, page 415-428. IEEE, (2023)Distributed QR Decomposition Framework for Training Support Vector Machines.J. Dass, V. Sakuru, V. Sarin, and R. Mahapatra. ICDCS, page 753-763. IEEE Computer Society, (2017)Householder Sketch for Accurate and Accelerated Least-Mean-Squares Solvers.J. Dass, and R. Mahapatra. ICML, volume 139 of Proceedings of Machine Learning Research, page 2467-2477. PMLR, (2021)FPGA-based Distributed Edge Training of SVM.J. Dass, Y. Narawane, R. Mahapatra, and V. Sarin. FPGA, page 121. ACM, (2019)A Relaxed Synchronization Approach for Solving Parallel Quadratic Programming Problems with Guaranteed Convergence.K. Lee, R. Bhattacharya, J. Dass, V. Sakuru, and R. Mahapatra. IPDPS, page 182-191. IEEE Computer Society, (2016)ViTALiTy: Unifying Low-rank and Sparse Approximation for Vision Transformer Acceleration with a Linear Taylor Attention.J. Dass, S. Wu, H. Shi, C. Li, Z. Ye, Z. Wang, and Y. Lin. CoRR, (2022)ConvLight: A Convolutional Accelerator with Memristor Integrated Photonic Computing.D. Dang, J. Dass, and R. Mahapatra. HiPC, page 114-123. IEEE Computer Society, (2017)A density based method for automatic hairstyle discovery and recognition.J. Dass, M. Sharma, E. Hassan, and H. Ghosh. NCVPRIPG, page 1-4. IEEE, (2013)Fast and Communication-Efficient Algorithm for Distributed Support Vector Machine Training.J. Dass, V. Sarin, and R. Mahapatra. IEEE Trans. Parallel Distributed Syst., 30 (5): 1065-1076 (2019)NetDistiller: Empowering Tiny Deep Learning via In-Situ Distillation.S. Zhang, Y. Fu, S. Wu, J. Dass, H. You, and Y. Lin. CoRR, (2023)

BibSonomy

Disambiguation of "Dass, Jyotikrishna"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

ViTALiTy: Unifying Low-rank and Sparse Approximation for Vision Transformer Acceleration with a Linear Taylor Attention.

Please choose a person to relate this publication to

Annette Dass

Pawlok Dass

Martin Dass

Hartwig Daß

Klaus Dass

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Dass, Jyotikrishna"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML ViTALiTy: Unifying Low-rank and Sparse Approximation for Vision Transformer Acceleration with a Linear Taylor Attention.

Please choose a person to relate this publication to

Annette Dass

Pawlok Dass

Martin Dass

Hartwig Daß

Klaus Dass

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

ViTALiTy: Unifying Low-rank and Sparse Approximation for Vision Transformer Acceleration with a Linear Taylor Attention.