Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance - researchr publication authors

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Zhuoning Yuan, Yuexin Wu, Zi-Hao Qiu, Xianzhi Du, Lijun Zhang, Denny Zhou, Tianbao Yang. Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance. In Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu 0001, Sivan Sabato, editors, International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA. Volume 162 of Proceedings of Machine Learning Research, pages 25760-25782, PMLR, 2022. [doi]

This author has not been identified. Look up 'Zhuoning Yuan' in GoogleThis author has not been identified. Look up 'Yuexin Wu' in GoogleThis author has not been identified. Look up 'Zi-Hao Qiu' in GoogleThis author has not been identified. Look up 'Xianzhi Du' in GoogleThis author has not been identified. It may be one of the following persons:

Lijun Zhang

Look up 'Lijun Zhang' in GoogleThis author has not been identified. Look up 'Denny Zhou' in GoogleThis author has not been identified. Look up 'Tianbao Yang' in Google

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