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Large Batch Optimization for Deep Learning: Training BERT in 76 minutes.

Y. You, J. Li, S. Reddi, J. Hseu, S. Kumar, S. Bhojanapalli, X. Song, J. Demmel, K. Keutzer, and C. Hsieh. ICLR, OpenReview.net, (2020)

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A Simple and Effective Positional Encoding for Transformers.P. Chen, H. Tsai, S. Bhojanapalli, H. Chung, Y. Chang, and C. Ferng. EMNLP (1), page 2974-2988. Association for Computational Linguistics, (2021)Dual-Encoders for Extreme Multi-label Classification.N. Gupta, Devvrit, A. Rawat, S. Bhojanapalli, P. Jain, and I. Dhillon. ICLR, OpenReview.net, (2024)Coping with Label Shift via Distributionally Robust Optimisation.J. Zhang, A. Menon, A. Veit, S. Bhojanapalli, S. Kumar, and S. Sra. ICLR, OpenReview.net, (2021)An efficient nonconvex reformulation of stagewise convex optimization problems.R. Bunel, O. Hinder, S. Bhojanapalli, and K. Dvijotham. NeurIPS, (2020)Coherent Matrix Completion.Y. Chen, S. Bhojanapalli, S. Sanghavi, and R. Ward. ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 674-682. JMLR.org, (2014)Are Transformers universal approximators of sequence-to-sequence functions?C. Yun, S. Bhojanapalli, A. Rawat, S. Reddi, and S. Kumar. ICLR, OpenReview.net, (2020)Treeformer: Dense Gradient Trees for Efficient Attention Computation.L. Madaan, S. Bhojanapalli, H. Jain, and P. Jain. CoRR, (2022)The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers.Z. Li, C. You, S. Bhojanapalli, D. Li, A. Rawat, S. Reddi, K. Ye, F. Chern, F. Yu, R. Guo and 1 other author(s). ICLR, OpenReview.net, (2023)Treeformer: Dense Gradient Trees for Efficient Attention Computation.L. Madaan, S. Bhojanapalli, H. Jain, and P. Jain. ICLR, OpenReview.net, (2023)Dropping Convexity for Faster Semi-definite Optimization.S. Bhojanapalli, A. Kyrillidis, and S. Sanghavi. COLT, volume 49 of JMLR Workshop and Conference Proceedings, page 530-582. JMLR.org, (2016)

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Large Batch Optimization for Deep Learning: Training BERT in 76 minutes.

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Disambiguation of "Bhojanapalli, Srinadh"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Large Batch Optimization for Deep Learning: Training BERT in 76 minutes.

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Large Batch Optimization for Deep Learning: Training BERT in 76 minutes.