Search Results for author: Weijie Zhao

Found 8 papers, 2 papers with code

On the Convergence of Decentralized Adaptive Gradient Methods

no code implementations7 Sep 2021 Xiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li

Adaptive gradient methods including Adam, AdaGrad, and their variants have been very successful for training deep learning models, such as neural networks.

Distributed Computing Distributed Optimization

LIRA: Learnable, Imperceptible and Robust Backdoor Attacks

no code implementations ICCV 2021 Khoa Doan, Yingjie Lao, Weijie Zhao, Ping Li

Under this optimization framework, the trigger generator function will learn to manipulate the input with imperceptible noise to preserve the model performance on the clean data and maximize the attack success rate on the poisoned data.

Stochastic Optimization

Convergent Adaptive Gradient Methods in Decentralized Optimization

no code implementations1 Jan 2021 Xiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li

Specifically, we propose a general algorithmic framework that can convert existing adaptive gradient methods to their decentralized counterparts.

Distributed Optimization

F2GAN: Fusing-and-Filling GAN for Few-shot Image Generation

1 code implementation5 Aug 2020 Yan Hong, Li Niu, Jianfu Zhang, Weijie Zhao, Chen Fu, Liqing Zhang

In this paper, we propose a Fusing-and-Filling Generative Adversarial Network (F2GAN) to generate realistic and diverse images for a new category with only a few images.

Image Generation

Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems

no code implementations12 Mar 2020 Weijie Zhao, Deping Xie, Ronglai Jia, Yulei Qian, Ruiquan Ding, Mingming Sun, Ping Li

For example, a sponsored online advertising system can contain more than $10^{11}$ sparse features, making the neural network a massive model with around 10 TB parameters.

Image Cropping with Composition and Saliency Aware Aesthetic Score Map

no code implementations24 Nov 2019 Yi Tu, Li Niu, Weijie Zhao, Dawei Cheng, Liqing Zhang

Aesthetic image cropping is a practical but challenging task which aims at finding the best crops with the highest aesthetic quality in an image.

Image Cropping

Inductive Guided Filter: Real-time Deep Image Matting with Weakly Annotated Masks on Mobile Devices

no code implementations16 May 2019 Yaoyi Li, Jianfu Zhang, Weijie Zhao, Hongtao Lu

A high efficient image matting method based on a weakly annotated mask is in demand for mobile applications.

Image Matting

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