متابعة
Srinadh Bhojanapalli
Srinadh Bhojanapalli
Research Scientist, Google Research
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عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Exploring generalization in deep learning‏
B Neyshabur, S Bhojanapalli, D McAllester, N Srebro‏
Advances in neural information processing systems 30, 2017‏
15432017
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, ...‏
arXiv preprint arXiv:1904.00962, 2019‏
11422019
A pac-bayesian approach to spectrally-normalized margin bounds for neural networks‏
B Neyshabur, S Bhojanapalli, N Srebro‏
arXiv preprint arXiv:1707.09564, 2017‏
7162017
Towards understanding the role of over-parametrization in generalization of neural networks‏
B Neyshabur, Z Li, S Bhojanapalli, Y LeCun, N Srebro‏
arXiv preprint arXiv:1805.12076, 2018‏
6562018
Implicit regularization in matrix factorization‏
S Gunasekar, BE Woodworth, S Bhojanapalli, B Neyshabur, N Srebro‏
Advances in neural information processing systems 30, 2017‏
5782017
Understanding robustness of transformers for image classification‏
S Bhojanapalli, A Chakrabarti, D Glasner, D Li, T Unterthiner, A Veit‏
Proceedings of the IEEE/CVF international conference on computer vision …, 2021‏
4812021
Global optimality of local search for low rank matrix recovery‏
S Bhojanapalli, B Neyshabur, N Srebro‏
Advances in Neural Information Processing Systems, 3873-3881, 2016‏
4662016
Does label smoothing mitigate label noise?‏
M Lukasik, S Bhojanapalli, A Menon, S Kumar‏
International Conference on Machine Learning, 6448-6458, 2020‏
4212020
Are transformers universal approximators of sequence-to-sequence functions?‏
C Yun, S Bhojanapalli, AS Rawat, SJ Reddi, S Kumar‏
arXiv preprint arXiv:1912.10077, 2019‏
4042019
Dropping convexity for faster semi-definite optimization‏
S Bhojanapalli, A Kyrillidis, S Sanghavi‏
Conference on Learning Theory, 530-582, 2016‏
1952016
Modifying memories in transformer models‏
C Zhu, AS Rawat, M Zaheer, S Bhojanapalli, D Li, F Yu, S Kumar‏
arXiv preprint arXiv:2012.00363, 2020‏
1872020
Coherent matrix completion.‏
Y Chen, S Bhojanapalli, S Sanghavi, R Ward‏
arXiv preprint arXiv:1306.2979, 2013‏
1512013
Universal matrix completion‏
S Bhojanapalli, P Jain‏
International Conference on Machine Learning, 1881-1889, 2014‏
1302014
Stabilizing GAN training with multiple random projections‏
B Neyshabur, S Bhojanapalli, A Chakrabarti‏
arXiv preprint arXiv:1705.07831, 2017‏
1072017
Low-rank bottleneck in multi-head attention models‏
S Bhojanapalli, C Yun, AS Rawat, S Reddi, S Kumar‏
International conference on machine learning, 864-873, 2020‏
1042020
Completing any low-rank matrix, provably‏
Y Chen, S Bhojanapalli, S Sanghavi, R Ward‏
The Journal of Machine Learning Research 16 (1), 2999-3034, 2015‏
1042015
O (n) connections are expressive enough: Universal approximability of sparse transformers‏
C Yun, YW Chang, S Bhojanapalli, AS Rawat, S Reddi, S Kumar‏
Advances in Neural Information Processing Systems 33, 13783-13794, 2020‏
842020
The lazy neuron phenomenon: On emergence of activation sparsity in transformers‏
Z Li, C You, S Bhojanapalli, D Li, AS Rawat, SJ Reddi, K Ye, F Chern, ...‏
arXiv preprint arXiv:2210.06313, 2022‏
832022
Coping with label shift via distributionally robust optimisation‏
J Zhang, A Menon, A Veit, S Bhojanapalli, S Kumar, S Sra‏
arXiv preprint arXiv:2010.12230, 2020‏
832020
A simple and effective positional encoding for transformers‏
PC Chen, H Tsai, S Bhojanapalli, HW Chung, YW Chang, CS Ferng‏
arXiv preprint arXiv:2104.08698, 2021‏
782021
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مقالات 1–20