no code implementations • 25 Mar 2024 • Linglin Jing, Yiming Ding, Yunpeng Gao, Zhigang Wang, Xu Yan, Dong Wang, Gerald Schaefer, Hui Fang, Bin Zhao, Xuelong Li
In this paper, we propose a novel hybrid pseudo-labeling framework for unsupervised event-based semantic segmentation, HPL-ESS, to alleviate the influence of noisy pseudo labels.
1 code implementation • 16 Feb 2024 • Chen Xu, Jun Xu, Yiming Ding, Xiao Zhang, Qi Qi
Specifically, FairSync resolves the issue by moving it to the dual space, where a central node aggregates historical fairness data into a vector and distributes it to all servers.
no code implementations • 16 May 2020 • Yiming Ding, Ignasi Clavera, Pieter Abbeel
The later, while they present low sample complexity, they learn latent spaces that need to reconstruct every single detail of the scene.
1 code implementation • 17 Nov 2019 • Xinyun Chen, Wenxiao Wang, Chris Bender, Yiming Ding, Ruoxi Jia, Bo Li, Dawn Song
The experimental results demonstrate that our fine-tuning based watermark removal attacks could pose real threats to the copyright of pre-trained models, and thus highlight the importance of further investigating the watermarking problem and proposing more robust watermark embedding schemes against the attacks.
1 code implementation • NeurIPS 2019 • Yiming Ding, Carlos Florensa, Mariano Phielipp, Pieter Abbeel
Designing rewards for Reinforcement Learning (RL) is challenging because it needs to convey the desired task, be efficient to optimize, and be easy to compute.
no code implementations • 9 Jan 2015 • Hangjin Jiang, Kan Liu, Yiming Ding
Measuring dependence between two random variables is very important, and critical in many applied areas such as variable selection, brain network analysis.
no code implementations • 6 Oct 2013 • Hangjin Jiang, Yiming Ding
We proposed a new statistical dependency measure called Copula Dependency Coefficient(CDC) for two sets of variables based on copula.