Connecting Multi-modal Contrastive Representations

no code implementations • NeurIPS 2023 • Zehan Wang, Yang Zhao, Xize Cheng, Haifeng Huang, Jiageng Liu, Li Tang, Linjun Li, Yongqi Wang, Aoxiong Yin, Ziang Zhang, Zhou Zhao

This paper proposes a novel training-efficient method for learning MCR without paired data called Connecting Multi-modal Contrastive Representations (C-MCR).

3D Point Cloud Classification counterfactual +4

Variance-Reduced Stochastic Learning by Networked Agents under Random Reshuffling

no code implementations • 4 Aug 2017 • Kun Yuan, Bicheng Ying, Jiageng Liu, Ali H. Sayed

For such situations, the balanced gradient computation property of AVRG becomes a real advantage in reducing idle time caused by unbalanced local data storage requirements, which is characteristic of other reduced-variance gradient algorithms.