Virginia Polytechnic Institute and State University

∙ Blacksburg , United States ∙ 0 followers

Virginia Polytechnic Institute and State University, commonly known as Virginia Tech and by the initialisms VT and VPI, is a public, land-grant, research university with its main campus in Blacksburg, Virginia.

Deep Paper Gestalt

Recent years have witnessed a significant increase in the number of pape...
12/20/2018 ∙ by Jia-Bin Huang, et al. ∙ 30 ∙ share

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

Deep learning models have demonstrated high-quality performance in areas...
01/25/2020 ∙ by Amirsina Torfi, et al. ∙ 30 ∙ share

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Differentially Private Synthetic Medical Data Generation using Convolutional GANs

Deep learning models have demonstrated superior performance in several a...
12/22/2020 ∙ by Amirsina Torfi, et al. ∙ 29 ∙ share

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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...
12/11/2019 ∙ by Jinwoo Choi, et al. ∙ 24 ∙ share

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Locally induced Gaussian processes for large-scale simulation experiments

Gaussian processes (GPs) serve as flexible surrogates for complex surfac...
08/28/2020 ∙ by D. Austin Cole, et al. ∙ 23 ∙ share

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

The stringent requirements of mobile edge computing (MEC) applications a...
02/20/2020 ∙ by Md. Shirajum Munir, et al. ∙ 20 ∙ share

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Enforcing Deterministic Constraints on Generative Adversarial Networks for Emulating Physical Systems

Generative adversarial networks (GANs) are initially proposed to generat...
11/15/2019 ∙ by Zeng Yang, et al. ∙ 18 ∙ share

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

Few-shot classification aims to recognize novel categories with only few...
01/23/2020 ∙ by Hung-Yu Tseng, et al. ∙ 15 ∙ share

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3D Photography using Context-aware Layered Depth Inpainting

We propose a method for converting a single RGB-D input image into a 3D ...
04/09/2020 ∙ by Meng-Li Shih, et al. ∙ 12 ∙ share

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Robust Tensor Principal Component Analysis: Exact Recovery via Deterministic Model

Tensor, also known as multi-dimensional array, arises from many applicat...
08/05/2020 ∙ by Bo Shen, et al. ∙ 11 ∙ share

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Manifold Graph with Learned Prototypes for Semi-Supervised Image Classification

Recent advances in semi-supervised learning methods rely on estimating c...
06/12/2019 ∙ by Chia-Wen Kuo, et al. ∙ 10 ∙ share

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FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning

Recent state-of-the-art semi-supervised learning (SSL) methods use a com...
07/16/2020 ∙ by Chia-Wen Kuo, et al. ∙ 10 ∙ share

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

Our research aims at developing intelligent systems to reduce the transp...
09/23/2019 ∙ by Shiwali Mohan, et al. ∙ 9 ∙ share

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Neural Abstractive Text Summarization with Sequence-to-Sequence Models

In the past few years, neural abstractive text summarization with sequen...
12/05/2018 ∙ by Tian Shi, et al. ∙ 8 ∙ share

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A Closer Look at Few-shot Classification

Few-shot classification aims to learn a classifier to recognize unseen c...
04/08/2019 ∙ by Wei-Yu Chen, et al. ∙ 8 ∙ share

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

Image-to-image translation aims to learn the mapping between two visual ...
05/02/2019 ∙ by Hsin-Ying Lee, et al. ∙ 8 ∙ share

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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...
04/13/2021 ∙ by Manling Li, et al. ∙ 8 ∙ share

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Distributed Attack-Robust Submodular Maximization for Multi-Robot Planning

We aim to guard swarm-robotics applications against denial-of-service (D...
10/02/2019 ∙ by Lifeng Zhou, et al. ∙ 7 ∙ share

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Uncertainty Aware Semi-Supervised Learning on Graph Data

Thanks to graph neural networks (GNNs), semi-supervised node classificat...
10/24/2020 ∙ by Xujiang Zhao, et al. ∙ 7 ∙ share

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VideoMatch: Matching based Video Object Segmentation

Video object segmentation is challenging yet important in a wide variety...
09/04/2018 ∙ by Yuan-Ting Hu, et al. ∙ 6 ∙ share

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Deep Transfer Reinforcement Learning for Text Summarization

Deep neural networks are data hungry models and thus they face difficult...
10/15/2018 ∙ by Yaser Keneshloo, et al. ∙ 6 ∙ share

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

Simulating complex physical systems often involves solving partial diffe...
05/13/2019 ∙ by Jin-Long Wu, et al. ∙ 6 ∙ share

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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...
09/17/2019 ∙ by Yining Wang, et al. ∙ 5 ∙ share

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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...
05/28/2020 ∙ by Yinan Wang, et al. ∙ 5 ∙ share

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Rethinking the Backdoor Attacks' Triggers: A Frequency Perspective

Backdoor attacks have been considered a severe security threat to deep l...
04/07/2021 ∙ by Yi Zeng, et al. ∙ 5 ∙ share

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Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator

For node level graph encoding, a recent important state-of-art method is...
08/30/2018 ∙ by Zhiqian Chen, et al. ∙ 4 ∙ share

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Image Generation Via Minimizing Fréchet Distance in Discriminator Feature Space

For a given image generation problem, the intrinsic image manifold is of...
03/26/2020 ∙ by Khoa D. Doan, et al. ∙ 4 ∙ share

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Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks

Modeling and forecasting forward citations to a patent is a central task...
05/22/2019 ∙ by Taoran Ji, et al. ∙ 3 ∙ share

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

Acquiring large-scale medical image data, necessary for training machine...
01/21/2020 ∙ by Jinzheng Cai, et al. ∙ 3 ∙ share

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Small Survey Event Detection

A small survey on event detection using Twitter. This work first defines...
11/09/2020 ∙ by Debanjan Datta, et al. ∙ 2 ∙ share

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Multidimensional Uncertainty-Aware Evidential Neural Networks

Traditional deep neural networks (NNs) have significantly contributed to...
12/26/2020 ∙ by Yibo Hu, et al. ∙ 2 ∙ share

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SAFEBIKE: A Bike-sharing Route Recommender with Availability Prediction and Safe Routing

This paper presents SAFEBIKE, a novel route recommendation system for bi...
12/05/2017 ∙ by Weisheng Zhong, et al. ∙ 1 ∙ share

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Mitigating Uncertainty in Document Classification

The uncertainty measurement of classifiers' predictions is especially im...
07/17/2019 ∙ by Xuchao Zhang, et al. ∙ 1 ∙ share

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TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction

Critical incident stages identification and reasonable prediction of tra...
11/20/2019 ∙ by Kaiqun Fu, et al. ∙ 1 ∙ share

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Robust data assimilation using L_1 and Huber norms

Data assimilation is the process to fuse information from priors, observ...
11/05/2015 ∙ by Vishwas Rao, et al. ∙ 0 ∙ share

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Multimodal Storytelling via Generative Adversarial Imitation Learning

Deriving event storylines is an effective summarization method to succin...
12/05/2017 ∙ by Zhiqian Chen, et al. ∙ 0 ∙ share

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Deep Learning for Reliable Mobile Edge Analytics in Intelligent Transportation Systems

Intelligent transportation systems (ITSs) will be a major component of t...
12/12/2017 ∙ by Aidin Ferdowsi, et al. ∙ 0 ∙ share

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Label Efficient Learning of Transferable Representations across Domains and Tasks

We propose a framework that learns a representation transferable across ...
11/30/2017 ∙ by Zelun Luo, et al. ∙ 0 ∙ share

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Phase Transitions in Image Denoising via Sparsely Coding Convolutional Neural Networks

Neural networks are analogous in many ways to spin glasses, systems whic...
10/26/2017 ∙ by Jacob Carroll, et al. ∙ 0 ∙ share

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Machine Learning for Wireless Networks with Artificial Intelligence: A Tutorial on Neural Networks

Next-generation wireless networks must support ultra-reliable, low-laten...
10/09/2017 ∙ by Mingzhe Chen, et al. ∙ 0 ∙ share

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Active Learning for Visual Question Answering: An Empirical Study

We present an empirical study of active learning for Visual Question Ans...
11/06/2017 ∙ by Xiao Lin, et al. ∙ 0 ∙ share

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Machine Learning for Survival Analysis: A Survey

Accurately predicting the time of occurrence of an event of interest is ...
08/15/2017 ∙ by Ping Wang, et al. ∙ 0 ∙ share

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An Improved Modified Cholesky Decomposition Method for Inverse Covariance Matrix Estimation

The modified Cholesky decomposition is commonly used for inverse covaria...
10/14/2017 ∙ by Xiaoning Kang, et al. ∙ 0 ∙ share

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Joint Image Filtering with Deep Convolutional Networks

Joint image filters leverage the guidance image as a prior and transfer ...
10/11/2017 ∙ by Yijun Li, et al. ∙ 0 ∙ share

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Tracking Persons-of-Interest via Unsupervised Representation Adaptation

Multi-face tracking in unconstrained videos is a challenging problem as ...
10/05/2017 ∙ by Shun Zhang, et al. ∙ 0 ∙ share

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Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid Networks

Convolutional neural networks have recently demonstrated high-quality re...
10/04/2017 ∙ by Wei-Sheng Lai, et al. ∙ 0 ∙ share

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Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight

Deep reinforcement learning has shown promising results in learning cont...
10/02/2017 ∙ by Yen-Chen Lin, et al. ∙ 0 ∙ share

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New Fairness Metrics for Recommendation that Embrace Differences

We study fairness in collaborative-filtering recommender systems, which ...
06/29/2017 ∙ by Sirui Yao, et al. ∙ 0 ∙ share

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Maximum Volume Inscribed Ellipsoid: A New Simplex-Structured Matrix Factorization Framework via Facet Enumeration and Convex Optimization

Consider a structured matrix factorization scenario where one factor is ...
08/09/2017 ∙ by Chia-Hsiang Lin, et al. ∙ 0 ∙ share

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Beyond Parity: Fairness Objectives for Collaborative Filtering

We study fairness in collaborative-filtering recommender systems, which ...
05/24/2017 ∙ by Sirui Yao, et al. ∙ 0 ∙ share

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Virginia Polytechnic Institute and State University

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