b'Shuai Zheng'

LID 2020: The Learning from Imperfect Data Challenge Results

Learning from imperfect data becomes an issue in many industrial applica...
10/17/2020 ∙ by Yunchao Wei, et al. ∙ 4 ∙ share

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Taking Modality-free Human Identification as Zero-shot Learning

Human identification is an important topic in event detection, person tr...
10/02/2020 ∙ by Zhizhe Liu, et al. ∙ 0 ∙ share

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Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning

Dynamic dispatching is one of the core problems for operation optimizati...
08/24/2020 ∙ by Chi Zhang, et al. ∙ 15 ∙ share

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CSER: Communication-efficient SGD with Error Reset

The scalability of Distributed Stochastic Gradient Descent (SGD) is toda...
07/26/2020 ∙ by Cong Xie, et al. ∙ 2 ∙ share

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Accelerated Large Batch Optimization of BERT Pretraining in 54 minutes

BERT has recently attracted a lot of attention in natural language under...
06/24/2020 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning

Graph representation learning aims to encode all nodes of a graph into l...
12/04/2019 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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Manufacturing Dispatching using Reinforcement and Transfer Learning

Efficient dispatching rule in manufacturing industry is key to ensure pr...
10/04/2019 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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Generative Adversarial Networks for Failure Prediction

Prognostics and Health Management (PHM) is an emerging engineering disci...
10/04/2019 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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Edge Heuristic GAN for Non-uniform Blind Deblurring

Non-uniform blur, mainly caused by camera shake and motions of multiple ...
07/11/2019 ∙ by Shuai Zheng, et al. ∙ 2 ∙ share

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GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing

We present GluonCV and GluonNLP, the deep learning toolkits for computer...
07/09/2019 ∙ by Jian Guo, et al. ∙ 5 ∙ share

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Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback

Communication overhead is a major bottleneck hampering the scalability o...
05/27/2019 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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Blockwise Adaptivity: Faster Training and Better Generalization in Deep Learning

Stochastic methods with coordinate-wise adaptive stepsize (such as RMSpr...
05/23/2019 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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Remaining Useful Life Estimation Using Functional Data Analysis

Remaining Useful Life (RUL) of an equipment or one of its components is ...
04/12/2019 ∙ by Qiyao Wang, et al. ∙ 0 ∙ share

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Give me a hint! Navigating Image Databases using Human-in-the-loop Feedback

In this paper, we introduce an attribute-based interactive image search ...
09/24/2018 ∙ by Bryan A. Plummer, et al. ∙ 0 ∙ share

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ModaNet: A Large-Scale Street Fashion Dataset with Polygon Annotations

Understanding clothes from a single image has strong commercial and cult...
07/03/2018 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data

Variance reduction has been commonly used in stochastic optimization. It...
06/08/2018 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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Regularized Singular Value Decomposition and Application to Recommender System

Singular value decomposition (SVD) is the mathematical basis of principa...
04/13/2018 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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Minimal Support Vector Machine

Support Vector Machine (SVM) is an efficient classification approach, wh...
04/06/2018 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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Fast End-to-End Trainable Guided Filter

Image processing and pixel-wise dense prediction have been advanced by h...
03/15/2018 ∙ by Huikai Wu, et al. ∙ 0 ∙ share

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Conditional Image-Text Embedding Networks

This paper presents an approach for grounding phrases in images which jo...
11/22/2017 ∙ by Bryan A. Plummer, et al. ∙ 0 ∙ share

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GP-GAN: Towards Realistic High-Resolution Image Blending

Recent advances in generative adversarial networks (GANs) have shown pro...
03/21/2017 ∙ by Huikai Wu, et al. ∙ 0 ∙ share

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Learning Arbitrary Pairwise Potentials in CRFs for Semantic Segmentation

Are we using the right potential functions in the Conditional Random Fie...
01/24/2017 ∙ by Måns Larsson, et al. ∙ 0 ∙ share

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A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification

Linear Discriminant Analysis (LDA) is a widely-used supervised dimension...
10/14/2016 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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Kernel Alignment Inspired Linear Discriminant Analysis

Kernel alignment measures the degree of similarity between two kernels. ...
10/14/2016 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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Fully-Trainable Deep Matching

Deep Matching (DM) is a popular high-quality method for quasi-dense imag...
09/12/2016 ∙ by James Thewlis, et al. ∙ 0 ∙ share

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Accelerating Deep Learning with Shrinkage and Recall

Deep Learning is a very powerful machine learning model. Deep Learning t...
05/04/2016 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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Stochastic Variance-Reduced ADMM

The alternating direction method of multipliers (ADMM) is a powerful opt...
04/24/2016 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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Fast Nonsmooth Regularized Risk Minimization with Continuation

In regularized risk minimization, the associated optimization problem be...
02/25/2016 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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Conditional Random Fields as Recurrent Neural Networks

Pixel-level labelling tasks, such as semantic segmentation, play a centr...
02/11/2015 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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ImageSpirit: Verbal Guided Image Parsing

Humans describe images in terms of nouns and adjectives while algorithms...
10/16/2013 ∙ by Ming-Ming Cheng, et al. ∙ 0 ∙ share

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Translation-Invariant Representation for Cumulative Foot Pressure Images

Human can be distinguished by different limb movements and unique ground...
10/26/2010 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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Shuai Zheng

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