Search Results for author: Shiwan Zhao

Found 16 papers, 0 papers with code

Language Resource Efficient Learning for Captioning

no code implementations Findings (EMNLP) 2021 Jia Chen, Yike Wu, Shiwan Zhao, Qin Jin

Our analysis of caption models with SC loss shows that the performance degradation is caused by the increasingly noisy estimation of reward and baseline with fewer language resources.

S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search

no code implementations ECCV 2020 Zhihang Yuan, Bingzhe Wu, Guangyu Sun, Zheng Liang, Shiwan Zhao, Weichen Bi

To this end, based on a given CNN model, we first generate a CNN architecture space in which each architecture is a multi-stage CNN generated from the given model using some predefined transformations.

Neural Architecture Search

Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning

no code implementations24 Jul 2020 Yiqin Yu, Xu Min, Shiwan Zhao, Jing Mei, Fei Wang, Dongsheng Li, Kenney Ng, Shaochun Li

In real world applications like healthcare, it is usually difficult to build a machine learning prediction model that works universally well across different institutions.

Knowledge Distillation Transfer Learning

S2DNAS:Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search

no code implementations16 Nov 2019 Zhihang Yuan, Bingzhe Wu, Zheng Liang, Shiwan Zhao, Weichen Bi, Guangyu Sun

Recently, dynamic inference has emerged as a promising way to reduce the computational cost of deep convolutional neural network (CNN).

Neural Architecture Search

Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics

no code implementations5 Oct 2019 Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan YAO, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou

Based on this framework, we demonstrate that SGLD can prevent the information leakage of the training dataset to a certain extent.

Generalization Bounds

Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection

no code implementations NeurIPS 2019 Bingzhe Wu, Shiwan Zhao, Chaochao Chen, Haoyang Xu, Li Wang, Xiaolu Zhang, Guangyu Sun, Jun Zhou

In this paper, we aim to understand the generalization properties of generative adversarial networks (GANs) from a new perspective of privacy protection.

Improving Captioning for Low-Resource Languages by Cycle Consistency

no code implementations21 Aug 2019 Yike Wu, Shiwan Zhao, Jia Chen, Ying Zhang, Xiaojie Yuan, Zhong Su

Improving the captioning performance on low-resource languages by leveraging English caption datasets has received increasing research interest in recent years.

Translation

Deep Diabetologist: Learning to Prescribe Hyperglycemia Medications with Hierarchical Recurrent Neural Networks

no code implementations17 Oct 2018 Jing Mei, Shiwan Zhao, Feng Jin, Eryu Xia, Haifeng Liu, Xiang Li

In healthcare, applying deep learning models to electronic health records (EHRs) has drawn considerable attention.

Time Series

Infinite Curriculum Learning for Efficiently Detecting Gastric Ulcers in WCE Images

no code implementations7 Sep 2018 Xiaolu Zhang, Shiwan Zhao, Lingxi Xie

This paper considers WCE-based gastric ulcer detection, in which the major challenge is to detect the lesions in a local region.

G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification

no code implementations30 Jun 2018 Bingzhe Wu, Xiaolu Zhang, Shiwan Zhao, Lingxi Xie, Caihong Zeng, Zhihong Liu, Guangyu Sun

Given an input image from a specified stain, several generators are first applied to estimate its appearances in other staining methods, and a classifier follows to combine visual cues from different stains for prediction (whether it is pathological, or which type of pathology it has).

Classification Decision Making +2

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