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Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction
In the Click-Through Rate (CTR) prediction scenario, user's sequential b...
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Self-supervised Smoothing Graph Neural Networks
This paper studies learning node representations with GNNs for unsupervi...
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Stable and accurate numerical methods for generalized Kirchhoff-Love plates
Efficient and accurate numerical algorithms are developed to solve a gen...
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Interpretable MTL from Heterogeneous Domains using Boosted Tree
Multi-task learning (MTL) aims at improving the generalization performan...
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SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks
Machine learning techniques have been widely applied in Internet compani...
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A Time Attention based Fraud Transaction Detection Framework
With online payment platforms being ubiquitous and important, fraud tran...
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Knowledge Isomorphism between Neural Networks
This paper aims to analyze knowledge isomorphism between pre-trained dee...
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Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud
Internet companies are facing the need of handling large scale machine l...
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A Boosting Framework of Factorization Machine
Recently, Factorization Machines (FM) has become more and more popular f...
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Distributed Collaborative Hashing and Its Applications in Ant Financial
Collaborative filtering, especially latent factor model, has been popula...
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Machine Learning-Assisted Least Loaded Routing to Improve Performance of Circuit-Switched Networks
The Least Loaded (LL) routing algorithm has been in recent decades the r...
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GeniePath: Graph Neural Networks with Adaptive Receptive Paths
We present, GeniePath, a scalable approach for learning adaptive recepti...
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