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09/19/2023
DPpack: An R Package for Differentially Private Statistical Analysis and Machine Learning
Differential privacy (DP) is the state-of-the-art framework for guarante...
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09/16/2023
Has Sentiment Returned to the Pre-pandemic Level? A Sentiment Analysis Using U.S. College Subreddit Data from 2019 to 2022
As impact of COVID-19 pandemic winds down, both individuals and society ...
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08/28/2023
Referring Image Segmentation Using Text Supervision
Existing Referring Image Segmentation (RIS) methods typically require ex...
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08/27/2023
Multi-model fusion for Aerial Vision and Dialog Navigation based on human attention aids
Drones have been widely used in many areas of our daily lives. It reliev...
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08/26/2023
ZC3: Zero-Shot Cross-Language Code Clone Detection
Developers introduce code clones to improve programming productivity. Ma...
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07/24/2023
A Differentially Private Weighted Empirical Risk Minimization Procedure and its Application to Outcome Weighted Learning
It is commonplace to use data containing personal information to build p...
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07/10/2023
LINFA: a Python library for variational inference with normalizing flow and annealing
Variational inference is an increasingly popular method in statistics an...
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04/10/2023
Privacy-preserving Inference of Group Mean Difference in Zero-inflated Right Skewed Data with Partitioning and Censoring
We examine privacy-preserving inferences of group mean differences in ze...
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03/22/2023
Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification
To address the challenges of long-tailed classification, researchers hav...
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02/19/2023
Noise-Augmented ℓ_0 Regularization of Tensor Regression with Tucker Decomposition
Tensor data are multi-dimension arrays. Low-rank decomposition-based reg...
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02/11/2023
Differentially Private Normalizing Flows for Density Estimation, Data Synthesis, and Variational Inference with Application to Electronic Health Records
Electronic health records (EHR) often contain sensitive medical informat...
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02/08/2023
Syntax and Domain Aware Model for Unsupervised Program Translation
There is growing interest in software migration as the development of so...
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02/06/2023
Bi-level Multi-objective Evolutionary Learning: A Case Study on Multi-task Graph Neural Topology Search
The construction of machine learning models involves many bi-level multi...
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12/30/2022
Delving into Semantic Scale Imbalance
Model bias triggered by long-tailed data has been widely studied. Howeve...
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12/12/2022
A Survey on Natural Language Processing for Programming
Natural language processing for programming, which aims to use NLP techn...
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08/12/2022
dual unet:a novel siamese network for change detection with cascade differential fusion
Change detection (CD) of remote sensing images is to detect the change r...
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06/02/2022
A Dual-fusion Semantic Segmentation Framework With GAN For SAR Images
Deep learning based semantic segmentation is one of the popular methods ...
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05/31/2022
Symmetrized two-scale finite element discretizations for partial differential equations with symmetric solutions
In this paper, a symmetrized two-scale finite element method is proposed...
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05/23/2022
Efficient Reinforcement Learning from Demonstration Using Local Ensemble and Reparameterization with Split and Merge of Expert Policies
The current work on reinforcement learning (RL) from demonstrations ofte...
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05/06/2022
Putting Density Functional Theory to the Test in Machine-Learning-Accelerated Materials Discovery
Accelerated discovery with machine learning (ML) has begun to provide th...
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04/21/2022
Non-autoregressive Model for Full-line Code Completion
Code completion tools are frequently used by software developers to acce...
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04/18/2022
Adaptive Noisy Data Augmentation for Regularized Estimation and Inference in Generalized Linear Models
We propose the AdaPtive Noise Augmentation (PANDA) procedure to regulari...
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04/12/2022
Compact Model Training by Low-Rank Projection with Energy Transfer
Low-rankness plays an important role in traditional machine learning, bu...
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04/05/2022
Learning Optimal K-space Acquisition and Reconstruction using Physics-Informed Neural Networks
The inherent slow imaging speed of Magnetic Resonance Image (MRI) has sp...
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03/24/2022
Transformers Meet Visual Learning Understanding: A Comprehensive Review
Dynamic attention mechanism and global modeling ability make Transformer...
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02/01/2022
AdaAnn: Adaptive Annealing Scheduler for Probability Density Approximation
Approximating probability distributions can be a challenging task, parti...
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01/26/2022
Learning to Recommend Method Names with Global Context
In programming, the names for the program entities, especially for the m...
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12/08/2021
Self-Supervised Speaker Verification with Simple Siamese Network and Self-Supervised Regularization
Training speaker-discriminative and robust speaker verification systems ...
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11/30/2021
Sentiment Analysis and Effect of COVID-19 Pandemic using College SubReddit Data
The COVID-19 pandemic has affected societies and human health and well-b...
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10/16/2021
Noise-Augmented Privacy-Preserving Empirical Risk Minimization with Dual-purpose Regularizer and Privacy Budget Retrieval and Recycling
We propose Noise-Augmented Privacy-Preserving Empirical Risk Minimizatio...
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08/30/2021
LUAI Challenge 2021 on Learning to Understand Aerial Images
This report summarizes the results of Learning to Understand Aerial Imag...
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08/28/2021
Variational Inference with NoFAS: Normalizing Flow with Adaptive Surrogate for Computationally Expensive Models
Fast inference of numerical model parameters from data is an important p...
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06/24/2021
Machine learning to tame divergent density functional approximations: a new path to consensus materials design principles
Computational virtual high-throughput screening (VHTS) with density func...
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06/18/2021
Privacy-preserving Publication and Sharing of COVID-19 Pandemic Data
A huge amount of data of various types are collected during the COVID-19...
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05/04/2021
One Model for All Quantization: A Quantized Network Supporting Hot-Swap Bit-Width Adjustment
As an effective technique to achieve the implementation of deep neural n...
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03/09/2021
MWQ: Multiscale Wavelet Quantized Neural Networks
Model quantization can reduce the model size and computational latency, ...
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03/04/2021
Effective and Fast: A Novel Sequential Single Path Search for Mixed-Precision Quantization
Since model quantization helps to reduce the model size and computation ...
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01/01/2021
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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01/01/2021
Privacy-preserving 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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12/29/2020
Multi-task Learning based Pre-trained Language Model for Code Completion
Code completion is one of the most useful features in the Integrated Dev...
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10/13/2020
Multi-Armed Bandits with Dependent Arms
We study a variant of the classical multi-armed bandit problem (MABP) wh...
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09/29/2020
Selective Cascade of Residual ExtraTrees
We propose a novel tree-based ensemble method named Selective Cascade of...
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09/19/2020
Schedule Sequence Design for Broadcast in Multi-channel Ad Hoc Networks
We consider a single-hop ad hoc network in which each node aims to broad...
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07/25/2020
A Partially Observable MDP Approach for Sequential Testing for Infectious Diseases such as COVID-19
The outbreak of the novel coronavirus (COVID-19) is unfolding as a major...
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07/06/2020
A modified axiomatic foundation of the analytic hierarchy process
This paper reports a modified axiomatic foundation of the analytic hiera...
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07/01/2020
A Statistical Overview on Data Privacy
The eruption of big data with the increasing collection and processing o...
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06/27/2020
Privacy Risk and Preservation For COVID-19 Contact Tracing Apps
Contact tracing in the COVID-19 pandemic is key to prevent the further s...
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06/13/2020
Delay-Constrained Topology-Transparent Distributed Scheduling for MANETs
Transparent topology is common in many mobile ad hoc networks (MANETs) s...
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06/10/2020
MultiResolution Attention Extractor for Small Object Detection
Small objects are difficult to detect because of their low resolution an...
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06/06/2020
