
VisDroneCC2020: The Vision Meets Drone Crowd Counting Challenge Results
Crowd counting on the drone platform is an interesting topic in computer...
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Transfer Learning under Highdimensional Generalized Linear Models
In this work, we study the transfer learning problem under highdimensio...
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Principled Design of Translation, Scale, and Rotation Invariant Variation Operators for Metaheuristics
In the past three decades, a large number of metaheuristics have been pr...
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Towards a Universal NLG for Dialogue Systems and Simulators with Future Bridging
In a dialogue system pipeline, a natural language generation (NLG) unit ...
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AppealNet: An Efficient and HighlyAccurate Edge/Cloud Collaborative Architecture for DNN Inference
This paper presents AppealNet, a novel edge/cloud collaborative architec...
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Evaluating the Effect of Longitudinal Dose and INR Data on Maintenance Warfarin Dose Predictions
Warfarin, a commonly prescribed drug to prevent blood clots, has a highl...
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MetaLearning with MAML on Trees
In metalearning, the knowledge learned from previous tasks is transferr...
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A multispeaker dataset of raw and reconstructed speech production realtime MRI video and 3D volumetric images
Realtime magnetic resonance imaging (RTMRI) of human speech production...
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RaSE: A Variable Screening Framework via Random Subspace Ensembles
Variable screening methods have been shown to be effective in dimension ...
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A Multilayer Correlated Topic Model
We proposed a novel multilayer correlated topic model (MCTM) to analyze ...
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DeepDyve: Dynamic Verification for Deep Neural Networks
Deep neural networks (DNNs) have become one of the enabling technologies...
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CGSENSE revisited: Results from the first ISMRM reproducibility challenge
Purpose: The aim of this work is to shed light on the issue of reproduci...
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RaSE: Random Subspace Ensemble Classification
We propose a new modelfree ensemble classification framework, Random Su...
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Downstream Model Design of Pretrained Language Model for Relation Extraction Task
Supervised relation extraction methods based on deep neural network play...
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Distributed Algorithms for Composite Optimization: Unified Framework and Convergence Analysis
We study distributed composite optimization over networks: agents minimi...
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Distributed Algorithms for Composite Optimization: Unified and Tight Convergence Analysis
We study distributed composite optimization over networks: agents minimi...
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Accelerated PrimalDual Algorithms for Distributed Smooth Convex Optimization over Networks
This paper proposes a novel family of primaldualbased distributed algo...
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Learning a Multitask Curriculum for Neural Machine Translation
Existing curriculum learning research in neural machine translation (NMT...
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DeepShift: Towards MultiplicationLess Neural Networks
Deep learning models, especially DCNN have obtained high accuracies in s...
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Computeraided Detection of Squamous Carcinoma of the Cervix in Whole Slide Images
Goal: Squamous cell carcinoma of cervix is one of the most prevalent can...
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Lingvo: a Modular and Scalable Framework for SequencetoSequence Modeling
Lingvo is a Tensorflow framework offering a complete solution for collab...
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THORS: An Efficient Approach for Making Classifiers Costsensitive
In this paper, we propose an effective THresholding method based on ORde...
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ClusterNet: Instance Segmentation in RGBD Images
We propose a method for instancelevel segmentation that uses RGBD data...
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Spatial Transformer Introspective Neural Network
Natural images contain many variations such as illumination differences,...
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ASYSONATA: Achieving Geometric Convergence for Distributed Asynchronous Optimization
Can one obtain a geometrically convergent algorithm for distributed asyn...
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PlatEMO: A MATLAB Platform for Evolutionary MultiObjective Optimization
Over the last three decades, a large number of evolutionary algorithms h...
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Ye Tian
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