
Machine learning to tame divergent density functional approximations: a new path to consensus materials design principles
Computational virtual highthroughput screening (VHTS) with density func...
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Privacypreserving Publication and Sharing of COVID19 Pandemic Data
A huge amount of data of various types are collected during the COVID19...
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One Model for All Quantization: A Quantized Network Supporting HotSwap BitWidth Adjustment
As an effective technique to achieve the implementation of deep neural n...
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MWQ: Multiscale Wavelet Quantized Neural Networks
Model quantization can reduce the model size and computational latency, ...
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Effective and Fast: A Novel Sequential Single Path Search for MixedPrecision Quantization
Since model quantization helps to reduce the model size and computation ...
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Disclosure Risk from Homogeneity Attack in Differentially Private Frequency Distribution
Homogeneity attack allows adversaries to obtain the exact values on the ...
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Privacypreserving Travel Time Prediction with Uncertainty Using GPS Trace Data
The rapid growth of GPS technology and mobile devices has led to a massi...
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Multitask Learning based Pretrained Language Model for Code Completion
Code completion is one of the most useful features in the Integrated Dev...
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MultiArmed Bandits with Dependent Arms
We study a variant of the classical multiarmed bandit problem (MABP) wh...
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Selective Cascade of Residual ExtraTrees
We propose a novel treebased ensemble method named Selective Cascade of...
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Schedule Sequence Design for Broadcast in Multichannel Ad Hoc Networks
We consider a singlehop ad hoc network in which each node aims to broad...
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A Partially Observable MDP Approach for Sequential Testing for Infectious Diseases such as COVID19
The outbreak of the novel coronavirus (COVID19) is unfolding as a major...
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A modified axiomatic foundation of the analytic hierarchy process
This paper reports a modified axiomatic foundation of the analytic hiera...
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A Statistical Overview on Data Privacy
The eruption of big data with the increasing collection and processing o...
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Privacy Risk and Preservation For COVID19 Contact Tracing Apps
Contact tracing in the COVID19 pandemic is key to prevent the further s...
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DelayConstrained TopologyTransparent Distributed Scheduling for MANETs
Transparent topology is common in many mobile ad hoc networks (MANETs) s...
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MultiResolution Attention Extractor for Small Object Detection
Small objects are difficult to detect because of their low resolution an...
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Contextual Bandits with SideObservations
We investigate contextual bandits in the presence of sideobservations a...
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Bayesian convolutional neural network based MRI brain extraction on nonhuman primates
Brain extraction or skull stripping of magnetic resonance images (MRI) i...
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Deep Learning and Bayesian Deep Learning Based Gender Prediction in MultiScale Brain Functional Connectivity
Brain gender differences have been known for a long time and are the pos...
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Modeling Programs Hierarchically with StackAugmented LSTM
Programming language modeling has attracted extensive attention in recen...
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PolSF: PolSAR image dataset on San Francisco
Polarimetric SAR data has the characteristics of allweather, alltime a...
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A Survey on Edge Computing Systems and Tools
Driven by the visions of Internet of Things and 5G communications, the e...
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A SelfAttentional Neural Architecture for Code Completion with MultiTask Learning
Code completion, one of the most useful features in the integrated devel...
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A Dynamic Analysis of Energy Storage with Renewable and Diesel Generation using Volterra Equations
Energy storage systems will play a key role in the power system of the t...
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A Survey of Deep Learningbased Object Detection
Object detection is one of the most important and challenging branches o...
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Fast Converging and Robust Optimal Path Selection in Continuoustime Markovswitching GARCH Model
We propose CROPS, a fast Converging and Robust Optimal Path Selection al...
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PolSAR Image Classification based on Polarimetric Scattering Coding and Sparse Support Matrix Machine
POLSAR image has an advantage over optical image because it can be acqui...
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Pixel DAGRecurrent Neural Network for SpectralSpatial Hyperspectral Image Classification
Exploiting rich spatial and spectral features contributes to improve the...
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Semisupervised Complexvalued GAN for Polarimetric SAR Image Classification
Polarimetric synthetic aperture radar (PolSAR) images are widely used in...
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SpecNet: Spectral Domain Convolutional Neural Network
The memory consumption of most Convolutional Neural Network (CNN) archit...
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Data Poisoning Attacks on Stochastic Bandits
Stochastic multiarmed bandits form a class of online learning problems ...
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An EndtoEnd Joint Unsupervised Learning of Deep Model and PseudoClasses for Remote Sensing Scene Representation
This work develops a novel endtoend deep unsupervised learning method ...
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CIPHER: Construction of dIfferentially Private microdata from lowdimensional Histograms via solving linear Equations with Tikhonov Regularization
When government agencies, research institutes, industries release indivi...
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SANTIS: SamplingAugmented Neural neTwork with Incoherent Structure for MR image reconstruction
Deep learning holds great promise in the reconstruction of undersampled ...
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SUSAN: Segment Unannotated image Structure using Adversarial Network
Segmentation of magnetic resonance (MR) images is a fundamental step in ...
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Solving multiplecriteria R&D project selection problems with a datadriven evidential reasoning rule
In this paper, a likelihood based evidence acquisition approach is propo...
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AdaPtive Noisy Data Augmentation (PANDA) for Simultaneous Construction Multiple Graph Models
We extend the data augmentation technique (PANDA) by Li et al. (2018) fo...
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Bayesian Hierarchical Spatial Model for Small Area Estimation with Nonignorable Nonresponses and Its Applications to the NHANES Dental Caries Assessments
In order to identify the demographic or dental hygienic factors that rel...
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Panda: AdaPtive Noisy Data Augmentation for Regularization of Undirected Graphical Models
We propose PANDA, an AdaPtive Noise Augmentation technique to regularize...
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MANTIS: ModelAugmented Neural neTwork with Incoherent kspace Sampling for efficient MR T2 mapping
Quantitative mapping of magnetic resonance (MR) parameters have been sho...
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Analysis of Thompson Sampling for Graphical Bandits Without the Graphs
We study multiarmed bandit problems with graph feedback, in which the d...
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UCBoost: A Boosting Approach to Tame Complexity and Optimality for Stochastic Bandits
In this work, we address the open problem of finding lowcomplexity near...
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STatistical Election to Partition Sequentially (STEPS) and Its Application in Differentially Private Release and Analysis of Youth Voter Registration Data
Voter data is important in political science research and applications s...
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The effect of publishing a highly cited paper on journal's impact factor: a case study of the Review of Particle Physics
A single highly cited article can give a big but temporary lift in its h...
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A ChangeDetection based Framework for Piecewisestationary MultiArmed Bandit Problem
The multiarmed bandit problem has been extensively studied under the st...
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Information Directed Sampling for Stochastic Bandits with Graph Feedback
We consider stochastic multiarmed bandit problems with graph feedback, ...
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Learning Intrinsic Sparse Structures within Long ShortTerm Memory
Model compression is significant for the wide adoption of Recurrent Neur...
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Direct Mapping Hidden Excited State Interaction Patterns from ab initio Dynamics and Its Implications on Force Field Development
The excited states of polyatomic systems are rather complex, and often e...
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Reward Maximization Under Uncertainty: Leveraging SideObservations on Networks
We study the stochastic multiarmed bandit (MAB) problem in the presence...
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