
A Survey on Face Data Augmentation
The quality and size of training set have great impact on the results of...
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Bilinear Graph Neural Network with Node Interactions
Graph Neural Network (GNN) is a powerful model to learn representations ...
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Quantumenhanced leastsquare support vector machine: simplified quantum algorithm and sparse solutions
Quantum algorithms can enhance machine learning in different aspects. He...
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Explaining Landscape Connectivity of Lowcost Solutions for Multilayer Nets
Mode connectivity is a surprising phenomenon in the loss landscape of de...
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WeaklySupervised Semantic Segmentation by Iterative Affinity Learning
Weaklysupervised semantic segmentation is a challenging task as no pixe...
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Item Silk Road: Recommending Items from Information Domains to Social Users
Online platforms can be divided into informationoriented and socialori...
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A Multilevel Coordinate Search Algorithm for Well Placement, Control and Joint Optimization
Determining optimal well placements and controls are two important tasks...
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Edge Preserving and MultiScale Contextual Neural Network for Salient Object Detection
In this paper, we propose a novel edge preserving and multiscale contex...
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A Reconstruction Error Formulation for SemiSupervised Multitask and Multiview Learning
A significant challenge to make learning techniques more suitable for ge...
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On Constrained Spectral Clustering and Its Applications
Constrained clustering has been wellstudied for algorithms such as Kme...
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WeaklySupervised Semantic Segmentation by Iteratively Mining Common Object Features
Weaklysupervised semantic segmentation under image tags supervision is ...
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Learning Twolayer Neural Networks with Symmetric Inputs
We give a new algorithm for learning a twolayer neural network under a ...
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Outer Productbased Neural Collaborative Filtering
In this work, we contribute a new multilayer neural network architectur...
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A Unified Framework for Mutual Improvement of SLAM and Semantic Segmentation
This paper presents a novel framework for simultaneously implementing lo...
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Temporal Relational Ranking for Stock Prediction
Stock prediction aims to predict the future trends of a stock in order t...
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Explainable Reasoning over Knowledge Graphs for Recommendation
Incorporating knowledge graph into recommender systems has attracted inc...
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Deep Itembased Collaborative Filtering for TopN Recommendation
Itembased Collaborative Filtering(short for ICF) has been widely adopte...
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Structureaware Generative Network for 3DShape Modeling
We present SAGNet, a structureaware generative model for 3D shapes. Giv...
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Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences
Incorporating knowledge graph (KG) into recommender system is promising ...
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Stabilized SVRG: Simple Variance Reduction for Nonconvex Optimization
Variance reduction techniques like SVRG provide simple and fast algorith...
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KGAT: Knowledge Graph Attention Network for Recommendation
To provide more accurate, diverse, and explainable recommendation, it is...
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Neural Graph Collaborative Filtering
Learning vector representations (aka. embeddings) of users and items lie...
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Multiple Sample Clustering
The clustering algorithms that view each object data as a single sample ...
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New superconvergent structures developed from the finite volume element method in 1D
New superconvergent structures are introduced by the finite volume eleme...
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XTDrone: A Customizable MultiRotor UAVs Simulation Platform
A customizable multirotor UAVs simulation platform based on ROS, Gazebo...
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Reinforced Negative Sampling over Knowledge Graph for Recommendation
Properly handling missing data is a fundamental challenge in recommendat...
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LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
Graph Convolution Network (GCN) has become new stateoftheart for coll...
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Graph Convolution Machine for Contextaware Recommender System
The latest advance in recommendation shows that better user and item rep...
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Xiang Wang
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