Zhuoning Yuan | DeepAI

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Featured Co-authors

Wei Liu
370 publications
Li Shen
141 publications
Yan Yan
126 publications
Yi Xu
100 publications
Moshe Y. Vardi
92 publications
Tianbao Yang
90 publications
Gang Li
67 publications
Denny Zhou
39 publications
Rong Jin
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Yiming Ying
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Xuanhui Wang
20 publications

∙ 06/05/2023

LibAUC: A Deep Learning Library for X-Risk Optimization

This paper introduces the award-winning deep learning (DL) library calle...

0 Zhuoning Yuan, et al. ∙

∙ 05/19/2023

Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization

In this paper, we aim to optimize a contrastive loss with individualized...

0 Zi-Hao Qiu, et al. ∙

∙ 02/24/2022

Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance

In this paper, we study contrastive learning from an optimization perspe...

0 Zhuoning Yuan, et al. ∙

∙ 06/09/2021

Memory-based Optimization Methods for Model-Agnostic Meta-Learning

Recently, model-agnostic meta-learning (MAML) has garnered tremendous at...

0 Bokun Wang, et al. ∙

∙ 02/09/2021

Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity

eep UC (area under the ROC curve) aximization (DAM) has attracted much a...

0 Zhuoning Yuan, et al. ∙

∙ 12/06/2020

Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification

Deep AUC Maximization (DAM) is a paradigm for learning a deep neural net...

0 Zhuoning Yuan, et al. ∙

∙ 06/12/2020

Fast Objective and Duality Gap Convergence for Non-convex Strongly-concave Min-max Problems

This paper focuses on stochastic methods for solving smooth non-convex s...

0 Zhishuai Guo, et al. ∙

∙ 05/05/2020

Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks

In this paper, we study distributed algorithms for large-scale AUC maxim...

0 Zhishuai Guo, et al. ∙

∙ 08/28/2019

Stochastic AUC Maximization with Deep Neural Networks

Stochastic AUC maximization has garnered an increasing interest due to b...

0 Mingrui Liu, et al. ∙

∙ 12/10/2018

Why Does Stagewise Training Accelerate Convergence of Testing Error Over SGD?

Stagewise training strategy is commonly used for learning neural network...

0 Tianbao Yang, et al. ∙

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