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QBSUM: a Large-Scale Query-Based Document Summarization Dataset from Real-world Applications
Query-based document summarization aims to extract or generate a summary...
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Neural Architecture Search For Keyword Spotting
Deep neural networks have recently become a popular solution to keyword ...
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Reinforced Curriculum Learning on Pre-trained Neural Machine Translation Models
The competitive performance of neural machine translation (NMT) critical...
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GIANT: Scalable Creation of a Web-scale Ontology
Understanding what online users may pay attention to is key to content r...
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Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus
The ability to ask questions is important in both human and machine inte...
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Learning Privately over Distributed Features: An ADMM Sharing Approach
Distributed machine learning has been widely studied in order to handle ...
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A User-Centered Concept Mining System for Query and Document Understanding at Tencent
Concepts embody the knowledge of the world and facilitate the cognitive ...
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Multiresolution Graph Attention Networks for Relevance Matching
A large number of deep learning models have been proposed for the text m...
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Learning to Generate Questions by Learning What not to Generate
Automatic question generation is an important technique that can improve...
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Stochastic Distributed Optimization for Machine Learning from Decentralized Features
Distributed machine learning has been widely studied in the literature t...
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A Model Parallel Proximal Stochastic Gradient Algorithm for Partially Asynchronous Systems
Large models are prevalent in modern machine learning scenarios, includi...
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Android Malware Detection using Large-scale Network Representation Learning
With the growth of mobile devices and applications, the number of malici...
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Android Malware Detection based on Factorization Machine
With the increasing popularity of Android smart phones in recent years, ...
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House Price Modeling over Heterogeneous Regions with Hierarchical Spatial Functional Analysis
Online real-estate information systems such as Zillow and Trulia have ga...
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Recover Fine-Grained Spatial Data from Coarse Aggregation
In this paper, we study a new type of spatial sparse recovery problem, t...
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Growing Story Forest Online from Massive Breaking News
We describe our experience of implementing a news content organization s...
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Matching Natural Language Sentences with Hierarchical Sentence Factorization
Semantic matching of natural language sentences or identifying the relat...
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A Block-wise, Asynchronous and Distributed ADMM Algorithm for General Form Consensus Optimization
Many machine learning models, including those with non-smooth regularize...
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Asynchronous Stochastic Proximal Methods for Nonconvex Nonsmooth Optimization
We study stochastic algorithms for solving non-convex optimization probl...
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Matching Long Text Documents via Graph Convolutional Networks
Identifying the relationship between two text objects is a core research...
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cqrReg: An R Package for Quantile and Composite Quantile Regression and Variable Selection
The cqrReg package for R is the first to introduce a family of robust, h...
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Expectile Matrix Factorization for Skewed Data Analysis
Matrix factorization is a popular approach to solving matrix estimation ...
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