
First Analysis of Local GD on Heterogeneous Data
We provide the first convergence analysis of local gradient descent for ...
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Do GAN Loss Functions Really Matter?
In this paper, we address the recent controversy between Lipschitz regul...
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High Quality Monocular Depth Estimation via Transfer Learning
Accurate depth estimation from images is a fundamental task in many appl...
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Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning
Networks are fundamental building blocks for representing data, and comp...
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Gradient Descent with Compressed Iterates
We propose and analyze a new type of stochastic first order method: grad...
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SelfSupervised Learning by CrossModal AudioVideo Clustering
The visual and audio modalities are highly correlated yet they contain d...
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Image2StyleGAN++: How to Edit the Embedded Images?
We propose Image2StyleGAN++, a flexible image editing framework with man...
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Evolving Neural Networks through a Reverse Encoding Tree
NeuroEvolution is one of the most competitive evolutionary learning fram...
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Latent Filter Scaling for Multimodal Unsupervised ImagetoImage Translation
In multimodal unsupervised imagetoimage translation tasks, the goal is...
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TileGAN: Synthesis of LargeScale NonHomogeneous Textures
We tackle the problem of texture synthesis in the setting where many inp...
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A ContextAware Loss Function for Action Spotting in Soccer Videos
Action spotting is an important element of general activity understandin...
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MultiView Multiple Clusterings using Deep Matrix Factorization
Multiview clustering aims at integrating complementary information from...
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ActiveHNE: Active Heterogeneous Network Embedding
Heterogeneous network embedding (HNE) is a challenging task due to the d...
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A Nonconvex Projection Method for Robust PCA
Robust principal component analysis (RPCA) is a wellstudied problem wit...
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SAGA with Arbitrary Sampling
We study the problem of minimizing the average of a very large number of...
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SGD: General Analysis and Improved Rates
We propose a general yet simple theorem describing the convergence of SG...
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MultiView Multiple Clustering
Multiple clustering aims at exploring alternative clusterings to organiz...
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Weaklypaired CrossModal Hashing
Hashing has been widely adopted for largescale data retrieval in many d...
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RGBbased Semantic Segmentation Using SelfSupervised Depth PreTraining
Although wellknown largescale datasets, such as ImageNet, have driven ...
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Can GCNs Go as Deep as CNNs?
Convolutional Neural Networks (CNNs) achieve impressive results in a wid...
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AttentionAware Answers of the Crowd
Crowdsourcing is a relatively economic and efficient solution to collect...
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Online and Batch Supervised Background Estimation via L1 Regression
We propose a surprisingly simple model for supervised video background e...
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Graph Embedding with Rich Information through Bipartite Heterogeneous Network
Graph embedding has attracted increasing attention due to its critical a...
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A Novel Framework for Robustness Analysis of Visual QA Models
Deep neural networks have been playing an essential role in many compute...
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Improving Shadow Suppression for Illumination Robust Face Recognition
2D face analysis techniques, such as face landmarking, face recognition ...
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Fast Convolutional Sparse Coding in the Dual Domain
Convolutional sparse coding (CSC) is an important building block of many...
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Robustness Analysis of Visual QA Models by Basic Questions
Visual Question Answering (VQA) models should have both high robustness ...
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A BatchIncremental Video Background Estimation Model using Weighted LowRank Approximation of Matrices
Principal component pursuit (PCP) is a stateoftheart approach for bac...
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An Outlyingness Matrix for Multivariate Functional Data Classification
The classification of multivariate functional data is an important task ...
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ISTANet: Iterative ShrinkageThresholding Algorithm Inspired Deep Network for Image Compressive Sensing
Traditional methods for image compressive sensing (CS) reconstruction so...
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Efficient Rectangular MaximalVolume Algorithm for Rating Elicitation in Collaborative Filtering
Cold start problem in Collaborative Filtering can be solved by asking ne...
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Stochastic PrimalDual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications
We propose a stochastic extension of the primaldual hybrid gradient alg...
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Action Search: Learning to Search for Human Activities in Untrimmed Videos
Traditional approaches for action detection use trimmed data to learn so...
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VQABQ: Visual Question Answering by Basic Questions
Taking an image and question as the input of our method, it can output t...
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A Mathematical Theory of Learning
In this paper, a mathematical theory of learning is proposed that has ma...
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Image Denoising Via Collaborative SupportAgnostic Recovery
In this paper, we propose a novel image denoising algorithm using collab...
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Quickest Moving Object Detection
We present a general framework and method for simultaneous detection and...
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ℓ_pBox ADMM: A Versatile Framework for Integer Programming
This paper revisits the integer programming (IP) problem, which plays a ...
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A modelbased approach to recovering the structure of a plant from images
We present a method for recovering the structure of a plant directly fro...
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Representation Learning with Deep Extreme Learning Machines for Efficient Image Set Classification
Efficient and accurate joint representation of a collection of images, t...
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Matching Through Features and Features Through Matching
This paper addresses how to construct features for the problem of image ...
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Shape Tracking With Occlusions via CoarseToFine RegionBased Sobolev Descent
We present a method to track the precise shape of an object in video bas...
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Ensemblemarginalized Kalman filter for linear timedependent PDEs with noisy boundary conditions: Application to heat transfer in building walls
In this work, we present the ensemblemarginalized Kalman filter (EnMKF)...
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Algorithmic Verification of Linearizability for Ordinary Differential Equations
For a nonlinear ordinary differential equation solved with respect to th...
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A Stochastic Generator of Global Monthly Wind Energy with Tukey gandh Autoregressive Processes
Quantifying the uncertainty of wind energy potential from climate models...
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Security Strategies of Both Players in Asymmetric Information ZeroSum Stochastic Games with an Informed Controller
This paper considers a zerosum twoplayer asymmetric information stocha...
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HLIBCov: Parallel Hierarchical Matrix Approximation of Large Covariance Matrices and Likelihoods with Applications in Parameter Identification
The main goal of this article is to introduce the parallel hierarchical ...
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Likelihood Approximation With Hierarchical Matrices For Large Spatial Datasets
We use available measurements to estimate the unknown parameters (varian...
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A MultiResolution Spatial Model for Large Datasets Based on the Skewt Distribution
Large, nonGaussian spatial datasets pose a considerable modeling challe...
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NonGaussian Autoregressive Processes with Tukey gandh Transformations
When performing a time series analysis of continuous data, for example f...
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King Abdullah University of Science and Technology
King Abdullah University of Science and Technology is a private research university located in Thuwal, Saudi Arabia.