Virginia Polytechnic Institute and State University

research

∙ 12/20/2018

Deep Paper Gestalt

Recent years have witnessed a significant increase in the number of pape...

Jia-Bin Huang, et al. ∙

research

∙ 01/25/2020

COR-GAN: Correlation-Capturing Convolutional Neural Networks for Generating Synthetic Healthcare Records

Deep learning models have demonstrated high-quality performance in areas...

Amirsina Torfi, et al. ∙

research

∙ 12/22/2020

Differentially Private Synthetic Medical Data Generation using Convolutional GANs

Deep learning models have demonstrated superior performance in several a...

Amirsina Torfi, et al. ∙

research

∙ 12/11/2019

Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition

Human activities often occur in specific scene contexts, e.g., playing b...

Jinwoo Choi, et al. ∙

research

∙ 08/28/2020

Locally induced Gaussian processes for large-scale simulation experiments

Gaussian processes (GPs) serve as flexible surrogates for complex surfac...

D. Austin Cole, et al. ∙

research

∙ 02/20/2020

Multi-Agent Meta-Reinforcement Learning for Self-Powered and Sustainable Edge Computing Systems

The stringent requirements of mobile edge computing (MEC) applications a...

Md. Shirajum Munir, et al. ∙

research

∙ 11/09/2021

Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information

Modeling the spatiotemporal nature of the spread of infectious diseases ...

Padmaksha Roy, et al. ∙

research

∙ 11/15/2019

Enforcing Deterministic Constraints on Generative Adversarial Networks for Emulating Physical Systems

Generative adversarial networks (GANs) are initially proposed to generat...

Zeng Yang, et al. ∙

research

∙ 07/08/2022

Lessons from Deep Learning applied to Scholarly Information Extraction: What Works, What Doesn't, and Future Directions

Understanding key insights from full-text scholarly articles is essentia...

Raquib Bin Yousuf, et al. ∙

research

∙ 07/19/2022

Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications

Communication systems to date primarily aim at reliably communicating bi...

Deniz Gündüz, et al. ∙

research

∙ 02/21/2022

EINNs: Epidemiologically-Informed Neural Networks

We introduce a new class of physics-informed neural networks-EINN-crafte...

Alexander Rodriguez, et al. ∙

research

∙ 01/23/2020

Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation

Few-shot classification aims to recognize novel categories with only few...

Hung-Yu Tseng, et al. ∙

research

∙ 04/09/2020

3D Photography using Context-aware Layered Depth Inpainting

We propose a method for converting a single RGB-D input image into a 3D ...

Meng-Li Shih, et al. ∙

research

∙ 10/01/2021

Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM)

A central goal in deep learning is to learn compact representations of f...

Jie Bu, et al. ∙

research

∙ 08/05/2020

Robust Tensor Principal Component Analysis: Exact Recovery via Deterministic Model

Tensor, also known as multi-dimensional array, arises from many applicat...

Bo Shen, et al. ∙

research

∙ 06/12/2019

Manifold Graph with Learned Prototypes for Semi-Supervised Image Classification

Recent advances in semi-supervised learning methods rely on estimating c...

Chia-Wen Kuo, et al. ∙

research

∙ 07/16/2020

FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning

Recent state-of-the-art semi-supervised learning (SSL) methods use a com...

Chia-Wen Kuo, et al. ∙

research

∙ 07/06/2021

Physical Interaction as Communication: Learning Robot Objectives Online from Human Corrections

When a robot performs a task next to a human, physical interaction is in...

Dylan P. Losey, et al. ∙

research

∙ 09/22/2021

Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning

Automated characterization of spatial data is a kind of critical geograp...

Dongjie Wang, et al. ∙

research

∙ 09/23/2019

Acceptable Planning: Influencing Individual Behavior to Reduce Transportation Energy Expenditure of a City

Our research aims at developing intelligent systems to reduce the transp...

Shiwali Mohan, et al. ∙

research

∙ 12/05/2018

Neural Abstractive Text Summarization with Sequence-to-Sequence Models

In the past few years, neural abstractive text summarization with sequen...

Tian Shi, et al. ∙

research

∙ 04/08/2019

A Closer Look at Few-shot Classification

Few-shot classification aims to learn a classifier to recognize unseen c...

Wei-Yu Chen, et al. ∙

research

∙ 05/02/2019

DRIT++: Diverse Image-to-Image Translation via Disentangled Representations

Image-to-image translation aims to learn the mapping between two visual ...

Hsin-Ying Lee, et al. ∙

research

∙ 04/13/2021

Future is not One-dimensional: Graph Modeling based Complex Event Schema Induction for Event Prediction

Event schemas encode knowledge of stereotypical structures of events and...

Manling Li, et al. ∙

research

∙ 07/31/2021

Fair Representation Learning using Interpolation Enabled Disentanglement

With the growing interest in the machine learning community to solve rea...

Akshita Jha, et al. ∙

research

∙ 03/04/2022

A Quality Index Metric and Method for Online Self-Assessment of Autonomous Vehicles Sensory Perception

Perception is critical to autonomous driving safety. Camera-based object...

Ce Zhang, et al. ∙

research

∙ 10/02/2019

Distributed Attack-Robust Submodular Maximization for Multi-Robot Planning

We aim to guard swarm-robotics applications against denial-of-service (D...

Lifeng Zhou, et al. ∙

research

∙ 10/24/2020

Uncertainty Aware Semi-Supervised Learning on Graph Data

Thanks to graph neural networks (GNNs), semi-supervised node classificat...

Xujiang Zhao, et al. ∙

research

∙ 03/04/2022

Contrastive Graph Convolutional Networks for Hardware Trojan Detection in Third Party IP Cores

The availability of wide-ranging third-party intellectual property (3PIP...

Nikhil Muralidhar, et al. ∙

research

∙ 06/14/2022

Turning a Curse Into a Blessing: Enabling Clean-Data-Free Defenses by Model Inversion

It is becoming increasingly common to utilize pre-trained models provide...

Si Chen, et al. ∙

research

∙ 09/04/2018

VideoMatch: Matching based Video Object Segmentation

Video object segmentation is challenging yet important in a wide variety...

Yuan-Ting Hu, et al. ∙

research

∙ 10/15/2018

Deep Transfer Reinforcement Learning for Text Summarization

Deep neural networks are data hungry models and thus they face difficult...

Yaser Keneshloo, et al. ∙

research

∙ 05/13/2019

Enforcing Statistical Constraints in Generative Adversarial Networks for Modeling Chaotic Dynamical Systems

Simulating complex physical systems often involves solving partial diffe...

Jin-Long Wu, et al. ∙

research

∙ 09/17/2019

Gated Recurrent Units Learning for Optimal Deployment of Visible Light Communications Enabled UAVs

In this paper, the problem of optimizing the deployment of unmanned aeri...

Yining Wang, et al. ∙

research

∙ 05/28/2020

CPAC-Conv: CP-decomposition to Approximately Compress Convolutional Layers in Deep Learning

Feature extraction for tensor data serves as an important step in many t...

Yinan Wang, et al. ∙

research

∙ 04/07/2021

Rethinking the Backdoor Attacks' Triggers: A Frequency Perspective

Backdoor attacks have been considered a severe security threat to deep l...

Yi Zeng, et al. ∙

research

∙ 07/09/2021

Scaled-Time-Attention Robust Edge Network

This paper describes a systematic approach towards building a new family...

Richard Lau, et al. ∙

research

∙ 12/04/2021

DNN-based Policies for Stochastic AC OPF

A prominent challenge to the safe and optimal operation of the modern po...

Sarthak Gupta, et al. ∙

research

∙ 12/28/2021

Frame invariance and scalability of neural operators for partial differential equations

Partial differential equations (PDEs) play a dominant role in the mathem...

Muhammad I. Zafar, et al. ∙

research

∙ 04/06/2022

Improving Zero-Shot Event Extraction via Sentence Simplification

The success of sites such as ACLED and Our World in Data have demonstrat...

Sneha Mehta, et al. ∙

research

∙ 05/03/2022

CANShield: Signal-based Intrusion Detection for Controller Area Networks

Modern vehicles rely on a fleet of electronic control units (ECUs) conne...

Md Hasan Shahriar, et al. ∙

research

∙ 08/30/2018

Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator

For node level graph encoding, a recent important state-of-art method is...

Zhiqian Chen, et al. ∙

research

∙ 03/26/2020

Image Generation Via Minimizing Fréchet Distance in Discriminator Feature Space

For a given image generation problem, the intrinsic image manifold is of...

Khoa D. Doan, et al. ∙

research

∙ 08/26/2021

SAUCE: Truncated Sparse Document Signature Bit-Vectors for Fast Web-Scale Corpus Expansion

Recent advances in text representation have shown that training on large...

Muntasir Wahed, et al. ∙

research

∙ 06/08/2022

Sampling-based techniques for designing school boundaries

Recently, an increasing number of researchers, especially in the realm o...

Subhodip Biswas, et al. ∙

research

∙ 05/22/2019

Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks

Modeling and forecasting forward citations to a patent is a central task...

Taoran Ji, et al. ∙

research

∙ 01/21/2020

Lesion Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale

Acquiring large-scale medical image data, necessary for training machine...

Jinzheng Cai, et al. ∙

research

∙ 10/11/2021

TCube: Domain-Agnostic Neural Time-series Narration

The task of generating rich and fluent narratives that aptly describe th...

Mandar Sharma, et al. ∙

research

∙ 11/09/2020

Small Survey Event Detection

A small survey on event detection using Twitter. This work first defines...

Debanjan Datta, et al. ∙

research

∙ 12/26/2020

Multidimensional Uncertainty-Aware Evidential Neural Networks

Traditional deep neural networks (NNs) have significantly contributed to...

Yibo Hu, et al. ∙

Virginia Polytechnic Institute and State University

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