
ObjectAug: Objectlevel Data Augmentation for Semantic Image Segmentation
Semantic image segmentation aims to obtain object labels with precise bo...
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Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection
The explosive growth of fake news along with destructive effects on poli...
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Label Contrastive Coding based Graph Neural Network for Graph Classification
Graph classification is a critical research problem in many applications...
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Online Stochastic Optimization with Wasserstein Based Nonstationarity
We consider a general online stochastic optimization problem with multip...
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Distributed Stochastic Consensus Optimization with Momentum for Nonconvex Nonsmooth Problems
While many distributed optimization algorithms have been proposed for so...
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AIM 2020 Challenge on Learned Image Signal Processing Pipeline
This paper reviews the second AIM learned ISP challenge and provides the...
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Deoscillated Graph Collaborative Filtering
Collaborative Filtering (CF) signals are crucial for a Recommender Syste...
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A SingleLoop Smoothed Gradient DescentAscent Algorithm for NonconvexConcave MinMax Problems
Nonconvexconcave minmax problem arises in many machine learning applic...
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Subgraph Contrast for Scalable SelfSupervised Graph Representation Learning
Graph representation learning has attracted lots of attention recently. ...
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EfficientFCN: Holisticallyguided Decoding for Semantic Segmentation
Both performance and efficiency are important to semantic segmentation. ...
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CrossScale Internal Graph Neural Network for Image SuperResolution
Nonlocal selfsimilarity in natural images has been well studied as an ...
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G5: A Universal GRAPHBERT for GraphtoGraph Transfer and Apocalypse Learning
The recent GRAPHBERT model introduces a new approach to learning graph ...
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Learning a Reinforced Agent for Flexible Exposure Bracketing Selection
Automatically selecting exposure bracketing (images exposed differently)...
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CGBERT: Conditional Text Generation with BERT for Generalized Fewshot Intent Detection
In this paper, we formulate a more realistic and difficult problem setup...
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Deep Blind Video Superresolution
Existing video superresolution (SR) algorithms usually assume that the ...
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Ripple Walk Training: A Subgraphbased training framework for Large and Deep Graph Neural Network
Graph neural networks (GNNs) have achieved outstanding performance in le...
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Graph Neural Distance Metric Learning with GraphBert
Graph distance metric learning serves as the foundation for many graph l...
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Segmented GraphBert for Graph Instance Modeling
In graph instance representation learning, both the diverse graph instan...
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HGAT: Hierarchical Graph Attention Network for Fake News Detection
The explosive growth of fake news has eroded the credibility of medias a...
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Get Rid of Suspended Animation Problem: Deep Diffusive Neural Network on Graph SemiSupervised Classification
Existing graph neural networks may suffer from the "suspended animation ...
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GraphBert: Only Attention is Needed for Learning Graph Representations
The dominant graph neural networks (GNNs) overrely on the graph links, ...
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EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph
Fraud detection is extremely critical for ecommerce business. It is the...
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Heterogeneous Deep Graph Infomax
Graph representation learning is to learn universal node representations...
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A Binary Regression Adaptive Goodnessoffit Test (BAGofT)
The Pearson's χ^2 test and residual deviance test are two classical good...
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JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation
Crossdomain recommendation can alleviate the data sparsity problem in r...
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GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended Animation
The existing graph neural networks (GNNs) based on the spectral graph co...
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GRESNET: Graph Residuals for Reviving Deep Graph Neural Nets from Suspended Animation
In this paper, we will investigate the causes of the GNNs' "suspended an...
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Graph Neural Networks for Small Graph and Giant Network Representation Learning: An Overview
Graph neural networks denote a group of neural network models introduced...
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BGADAM: Boosting based GeneticEvolutionary ADAM for Convolutional Neural Network Optimization
Among various optimization algorithms, ADAM can achieve outstanding perf...
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DEAM: Accumulated Momentum with Discriminative Weight for Stochastic Optimization
Optimization algorithms with momentum, e.g., Nesterov Accelerated Gradie...
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Graph Neural Lasso for Dynamic Network Regression
In this paper, we will study the dynamic network regression problem, whi...
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IsoNN: Isomorphic Neural Network for Graph Representation Learning and Classification
Deep learning models have achieved huge success in numerous fields, such...
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A General O(n^2) HyperParameter Optimization for Gaussian Process Regression with CrossValidation and Nonlinearly Constrained ADMM
Hyperparameter optimization remains as the core issue of Gaussian proce...
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Secrets of the Brain: An Introduction to the Brain Anatomical Structure and Biological Function
In this paper, we will provide an introduction to the brain structure an...
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Cognitive Functions of the Brain: Perception, Attention and Memory
This is a followup tutorial article of [17] and [16], in this paper, we...
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Parallax: Visualizing and Understanding the Semantics of Embedding Spaces via Algebraic Formulae
Embeddings are a fundamental component of many modern machine learning a...
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Missing Movie Synergistic Completion across Multiple Isomeric Online Movie Knowledge Libraries
Online knowledge libraries refer to the online data warehouses that syst...
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SpatioTemporal Filter Adaptive Network for Video Deblurring
Video deblurring is a challenging task due to the spatially variant blur...
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DerivativeFree Global Optimization Algorithms: Population based Methods and Random Search Approaches
In this paper, we will provide an introduction to the derivativefree op...
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DerivativeFree Global Optimization Algorithms: Bayesian Method and Lipschitzian Approaches
In this paper, we will provide an introduction to the derivativefree op...
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DAVANet: Stereo Deblurring with View Aggregation
Nowadays stereo cameras are more commonly adopted in emerging devices su...
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Gradient Descent based Optimization Algorithms for Deep Learning Models Training
In this paper, we aim at providing an introduction to the gradient desce...
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MDUNet: Multiscale Densely Connected UNet for biomedical image segmentation
Radiologist is "doctor's doctor", biomedical image segmentation plays a ...
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Joint Face Hallucination and Deblurring via Structure Generation and Detail Enhancement
We address the problem of restoring a highresolution face image from a ...
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Datadriven Blockbuster Planning on Online Movie Knowledge Library
In the era of big data, logistic planning can be made datadriven to tak...
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A SelfOrganizing Tensor Architecture for MultiView Clustering
In many realworld applications, data are often unlabeled and comprised ...
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Unsupervised Image SuperResolution using CycleinCycle Generative Adversarial Networks
We consider the single image superresolution problem in a more general ...
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Spectral Collaborative Filtering
Despite the popularity of Collaborative Filtering (CF), CFbased methods...
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PhysicsBased Generative Adversarial Models for Image Restoration and Beyond
We present an algorithm to directly solve numerous image restoration pro...
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Manifold: A ModelAgnostic Framework for Interpretation and Diagnosis of Machine Learning Models
Interpretation and diagnosis of machine learning models have gained rene...
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