
StyleFlow: Attributeconditioned Exploration of StyleGANGenerated Images using Conditional Continuous Normalizing Flows
Highquality, diverse, and photorealistic images can now be generated by...
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Disentangled Image Generation Through Structured Noise Injection
We explore different design choices for injecting noise into generative ...
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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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Network Moments: Extensions and SparseSmooth Attacks
The impressive performance of deep neural networks (DNNs) has immensely ...
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MultiView Multiple Clusterings using Deep Matrix Factorization
Multiview clustering aims at integrating complementary information from...
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Efficient longdistance relation extraction with DGSpanBERT
In natural language processing, relation extraction seeks to rationally ...
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Improved Design of Quadratic Discriminant Analysis Classifier in Unbalanced Settings
The use of quadratic discriminant analysis (QDA) or its regularized vers...
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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 Better Alternative to Error Feedback for CommunicationEfficient Distributed Learning
Modern largescale machine learning applications require stochastic opti...
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Generative Layout Modeling using Constraint Graphs
We propose a new generative model for layout generation. We generate lay...
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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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Phase Consistent Ecological Domain Adaptation
We introduce two criteria to regularize the optimization involved in lea...
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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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Deep Incomplete MultiView Multiple Clusterings
Multiview clustering aims at exploiting information from multiple heter...
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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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Addressing ClassImbalance Problem in Personalized Ranking
Pairwise ranking models have been widely used to address recommendation ...
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Graph Factorization Machines for CrossDomain Recommendation
Recently, graph neural networks (GNNs) have been successfully applied to...
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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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King Abdullah University of Science and Technology
King Abdullah University of Science and Technology is a private research university located in Thuwal, Saudi Arabia.