Search Results for author: Kevin Zhou

Found 5 papers, 0 papers with code

"COVID-19 was a FIFA conspiracy #curropt": An Investigation into the Viral Spread of COVID-19 Misinformation

no code implementations12 Jun 2022 Alexander Wang, Jerry Sun, Kaitlyn Chen, Kevin Zhou, Edward Li Gu, Chenxin Fang

The outbreak of the infectious and fatal disease COVID-19 has revealed that pandemics assail public health in two waves: first, from the contagion itself and second, from plagues of suspicion and stigma.

Misinformation

Hierarchical Attention Prototypical Networks for Few-Shot Text Classification

no code implementations IJCNLP 2019 Shengli Sun, Qingfeng Sun, Kevin Zhou, Tengchao Lv

Most of the current effective methods for text classification tasks are based on large-scale labeled data and a great number of parameters, but when the supervised training data are few and difficult to be collected, these models are not available.

Classification Few-Shot Text Classification +3

Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks

no code implementations12 Mar 2018 Sebastian Guendel, Sasa Grbic, Bogdan Georgescu, Kevin Zhou, Ludwig Ritschl, Andreas Meier, Dorin Comaniciu

To foster future research we demonstrate the limitations of the current benchmarking setup and provide new reference patient-wise splits for the used data sets.

Learning to Prune Filters in Convolutional Neural Networks

no code implementations23 Jan 2018 Qiangui Huang, Kevin Zhou, Suya You, Ulrich Neumann

Specifically, we introduce a "try-and-learn" algorithm to train pruning agents that remove unnecessary CNN filters in a data-driven way.

Semantic Segmentation

Scene Labeling using Gated Recurrent Units with Explicit Long Range Conditioning

no code implementations22 Nov 2016 Qiangui Huang, Weiyue Wang, Kevin Zhou, Suya You, Ulrich Neumann

A novel neural network architecture is built for scene labeling tasks where one of the variants of the new RNN unit, Gated Recurrent Unit with Explicit Long-range Conditioning (GRU-ELC), is used to model multi scale contextual dependencies in images.

Scene Labeling

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