Srinadh Bhojanapalli

Dikutip oleh

	Semua	Sejak 2020
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Behnam NeyshaburMember of Technical Staff, AnthropicEmail yang diverifikasi di anthropic.com
Nathan SrebroProfessor, TTIC and University of ChicagoEmail yang diverifikasi di ttic.edu
Sujay SanghaviAssociate Professor, Electrical and Computer Engineering, University of Texas, AustinEmail yang diverifikasi di mail.utexas.edu
Prateek JainGoogle Research IndiaEmail yang diverifikasi di google.com
Ayan ChakrabartiGoogle ResearchEmail yang diverifikasi di google.com
Anastasios KyrillidisNoah Harding CS Associate Professor, Ken Kennedy Institute Fellow, Dean Fellow, Rice UniversityEmail yang diverifikasi di rice.edu
Rachel WardUT Austin / Microsoft ResearchEmail yang diverifikasi di math.utexas.edu
Yudong ChenAssociate Professor, University of Wisconsin-MadisonEmail yang diverifikasi di wisc.edu
Zhiyuan LiAssistant Professor, Toyota Technological Institute at ChicagoEmail yang diverifikasi di ttic.edu
Yann LeCunChief AI Scientist at Facebook & Silver Professor at the Courant Institute, New York UniversityEmail yang diverifikasi di cs.nyu.edu
Constantine CaramanisProfessor of Electrical and Computer Engineering, UT AustinEmail yang diverifikasi di utexas.edu
Dohyung ParkThe University of Texas at AustinEmail yang diverifikasi di utexas.edu
Praneeth NetrapalliGoogle ResearchEmail yang diverifikasi di google.com
Amir KalevInformation Sciences Institute, University of Southern CaliforniaEmail yang diverifikasi di isi.edu
Nicolas BoumalEcole Polytechnique Fédérale de Lausanne (EPFL)Email yang diverifikasi di epfl.ch
Alexandros G DimakisProfessor, ECE University of Texas at AustinEmail yang diverifikasi di austin.utexas.edu
David McAllesterProfessor, Toyota Technological Institute at ChicagoEmail yang diverifikasi di ttic.edu

Ikuti

Srinadh Bhojanapalli

Research Scientist, Google Research

Email yang diverifikasi di google.com - Beranda

Machine learning Algorithms


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Exploring generalization in deep learning B Neyshabur, S Bhojanapalli, D McAllester, N Srebro Advances in neural information processing systems 30, 2017	1518	2017
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	1105	2019
A pac-bayesian approach to spectrally-normalized margin bounds for neural networks B Neyshabur, S Bhojanapalli, N Srebro arXiv preprint arXiv:1707.09564, 2017	705	2017
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	636	2018
Implicit regularization in matrix factorization S Gunasekar, BE Woodworth, S Bhojanapalli, B Neyshabur, N Srebro Advances in neural information processing systems 30, 2017	570	2017
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	469	2021
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	460	2016
Does label smoothing mitigate label noise? M Lukasik, S Bhojanapalli, A Menon, S Kumar International Conference on Machine Learning, 6448-6458, 2020	414	2020
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	384	2019
Dropping convexity for faster semi-definite optimization S Bhojanapalli, A Kyrillidis, S Sanghavi Conference on Learning Theory, 530-582, 2016	190	2016
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	168	2020
Coherent matrix completion. Y Chen, S Bhojanapalli, S Sanghavi, R Ward arXiv preprint arXiv:1306.2979, 2013	151	2013
Universal matrix completion S Bhojanapalli, P Jain International Conference on Machine Learning, 1881-1889, 2014	131	2014
Stabilizing GAN training with multiple random projections B Neyshabur, S Bhojanapalli, A Chakrabarti arXiv preprint arXiv:1705.07831, 2017	110	2017
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	101	2015
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	97	2020
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	82	2020
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	81	2022
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	79	2021
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	77	2020

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