
Discriminationaware Network Pruning for Deep Model Compression
We study network pruning which aims to remove redundant channels/kernels...
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Domain Adaptive Transfer Learning on Visual Attention Aware Data Augmentation for Finegrained Visual Categorization
FineGrained Visual Categorization (FGVC) is a challenging topic in comp...
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Local Policy Optimization for TrajectoryCentric Reinforcement Learning
The goal of this paper is to present a method for simultaneous trajector...
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Don't Overlook the Support Set: Towards Improving Generalization in Metalearning
Metalearning has proven to be a powerful paradigm for transferring the ...
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Dual Reconstruction Nets for Image SuperResolution with Gradient Sensitive Loss
Deep neural networks have exhibited promising performance in image super...
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Transferable Neural Processes for Hyperparameter Optimization
Automated machine learning aims to automate the whole process of machine...
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RetroXpert: Decompose Retrosynthesis Prediction like a Chemist
Retrosynthesis is the process of recursively decomposing target molecule...
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Adversarial Representation Learning on LargeScale Bipartite Graphs
Graph representation on largescale bipartite graphs is central for a va...
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DehazeGLCGAN: Unpaired Single Image Dehazing via Adversarial Training
Single image dehazing is a challenging problem, and it is far from solv...
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rna2rna: Predicting lncRNAmicroRNAmRNA Interactions from Sequence with Integration of Interactome and Biological Annotation Data
Long noncoding RNA, microRNA, and messenger RNA enable key regulations ...
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Robust CUR Decomposition: Theory and Imaging Applications
This paper considers the use of Robust PCA in a CUR decomposition framew...
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SIRF: Simultaneous Image Registration and Fusion in A Unified Framework
In this paper, we propose a novel method for image fusion with a highre...
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Formally Verified Argument Reduction with a FusedMultiplyAdd
Cody & Waite argument reduction technique works perfectly for reasonably...
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Crosslingual Entity Alignment via Joint AttributePreserving Embedding
Entity alignment is the task of finding entities in two knowledge bases ...
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Memoryaugmented Attention Modelling for Videos
We present a method to improve video description generation by modeling ...
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Accelerating Deep Learning with Shrinkage and Recall
Deep Learning is a very powerful machine learning model. Deep Learning t...
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Enhancing Sentence Relation Modeling with Auxiliary Characterlevel Embedding
Neural network based approaches for sentence relation modeling automatic...
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Clinical Information Extraction via Convolutional Neural Network
We report an implementation of a clinical information extraction tool th...
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Learning Graph While Training: An Evolving Graph Convolutional Neural Network
Convolution Neural Networks on Graphs are important generalization and e...
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"RAPID" RegionsofInterest Detection In Big Histopathological Images
The sheer volume and size of histopathological images (e.g.,10^6 MPixel)...
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Feature Based Task Recommendation in Crowdsourcing with Implicit Observations
Existing research in crowdsourcing has investigated how to recommend tas...
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Improving the Accuracy of the CogniLearn System for Cognitive Behavior Assessment
HTKS is a gamelike cognitive assessment method, designed for children b...
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Kernel Alignment Inspired Linear Discriminant Analysis
Kernel alignment measures the degree of similarity between two kernels. ...
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Decentralized learning for wireless communications and networking
This chapter deals with decentralized learning algorithms for innetwork...
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Evaluation of Deep Learning based Pose Estimation for Sign Language Recognition
Human body pose estimation and hand detection are two important tasks fo...
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Forest Sparsity for Multichannel Compressive Sensing
In this paper, we investigate a new compressive sensing model for multi...
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Fast Iteratively Reweighted Least Squares Algorithms for AnalysisBased Sparsity Reconstruction
In this paper, we propose a novel algorithm for analysisbased sparsity ...
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Principal motion components for gesture recognition using a singleexample
This paper introduces principal motion components (PMC), a new method fo...
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Designing Fair Ranking Schemes
Items from a database are often ranked based on a combination of multipl...
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Uniqueness of Transformation based on Jacobian Determinant and curlVector
Numerical examples demonstrated that a prescribed positive Jacobian dete...
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A Novel Deformation Method for Higher Order Mesh Generation
The development of higher order finite elements methods has become an ac...
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Medical Image Watermarking using 2DDWT with Enhanced security and capacity
Teleradiology enables medical images to be transferred over the computer...
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Adaptive Graph Convolutional Neural Networks
Graph Convolutional Neural Networks (Graph CNNs) are generalizations of ...
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Constrained ConvolutionalRecurrent Networks to Improve Speech Quality with Low Impact on Recognition Accuracy
For a speechenhancement algorithm, it is highly desirable to simultaneo...
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Deep Learning Architectures for Face Recognition in Video Surveillance
Face recognition (FR) systems for video surveillance (VS) applications a...
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RRR: RankRegret Representative
We propose the rankregret representative as a way of choosing a small s...
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EndtoEnd Learning of Motion Representation for Video Understanding
Despite the recent success of endtoend learned representations, handc...
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A MultiLayer Approach to Superpixelbased Higherorder Conditional Random Field for Semantic Image Segmentation
Superpixelbased Higherorder Conditional random fields (SPHOCRFs) are...
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Image Segmentation using Sparse Subset Selection
In this paper, we present a new image segmentation method based on the c...
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Regularized Singular Value Decomposition and Application to Recommender System
Singular value decomposition (SVD) is the mathematical basis of principa...
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Adaptive Sampling Towards Fast Graph Representation Learning
Graph Convolutional Networks (GCNs) have become a crucial tool on learni...
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Computational Technologies for Brain Morphometry
In this paper, we described a set of computational technologies for imag...
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Discriminationaware Channel Pruning for Deep Neural Networks
Channel pruning is one of the predominant approaches for deep model comp...
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Multivariate Forecasting of Crude Oil Spot Prices using Neural Networks
Crude oil is a major component in most advanced economies of the world. ...
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Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples with Applications to Neuroimaging
Generative models using neural network have opened a door to largescale...
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Solving All Regression Models For Learning Gaussian Networks Using Givens Rotations
Score based learning (SBL) is a promising approach for learning Bayesian...
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A Realistic Dataset and Baseline Temporal Model for Early Drowsiness Detection
Drowsiness can put lives of many drivers and workers in danger. It is im...
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Query Processing on Large Graphs: Approaches To Scalability and Response Time Trade Offs
With the advent of social networks and the web, the graph sizes have gro...
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A New Estimation Algorithm for BoxCox Transformation Cure Rate Model and Comparison With EM Algorithm
In this paper, we develop a new estimation procedure based on the nonli...
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Generic Multilayer Network Data Analysis with the Fusion of Content and Structure
Multifeature data analysis (e.g., on Facebook, LinkedIn) is challenging...
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The University of Texas at Arlington
The University of Texas at Arlington is a public research university located in Arlington, Texas, United States, midway between Dallas and Fort Worth.