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06/06/2023
Towards Visual Foundational Models of Physical Scenes
We describe a first step towards learning general-purpose visual represe...
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10/18/2022
Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation
3D point cloud semantic segmentation is one of the fundamental tasks for...
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07/12/2021
Denoising User-aware Memory Network for Recommendation
For better user satisfaction and business effectiveness, more and more a...
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12/17/2020
Interactive Question Clarification in Dialogue via Reinforcement Learning
Coping with ambiguous questions has been a perennial problem in real-wor...
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12/14/2020
LRC-BERT: Latent-representation Contrastive Knowledge Distillation for Natural Language Understanding
The pre-training models such as BERT have achieved great results in vari...
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04/03/2020
Unpack Local Model Interpretation for GBDT
A gradient boosting decision tree (GBDT), which aggregates a collection ...
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04/01/2020
NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay
Ant Credit Pay is a consumer credit service in Ant Financial Service Gro...
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03/12/2020
Local Contextual Attention with Hierarchical Structure for Dialogue Act Recognition
Dialogue act recognition is a fundamental task for an intelligent dialog...
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03/12/2020
Privacy Preserving Point-of-interest Recommendation Using Decentralized Matrix Factorization
Points of interest (POI) recommendation has been drawn much attention re...
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03/10/2020
RNE: A Scalable Network Embedding for Billion-scale Recommendation
Nowadays designing a real recommendation system has been a critical prob...
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03/02/2020
Long Short-Term Sample Distillation
In the past decade, there has been substantial progress at training incr...
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02/27/2020
Heterogeneous Graph Neural Networks for Malicious Account Detection
We present, GEM, the first heterogeneous graph neural network approach f...
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02/27/2020
Uncovering Insurance Fraud Conspiracy with Network Learning
Fraudulent claim detection is one of the greatest challenges the insuran...
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02/27/2020
How Much Can A Retailer Sell? Sales Forecasting on Tmall
Time-series forecasting is an important task in both academic and indust...
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12/26/2019
Category-Level Articulated Object Pose Estimation
This paper addresses the task of category-level pose estimation for arti...
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12/26/2019
A Time Attention based Fraud Transaction Detection Framework
With online payment platforms being ubiquitous and important, fraud tran...
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06/18/2019
TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial
With the explosive growth of e-commerce and the booming of e-payment, de...
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08/29/2018
Review Helpfulness Prediction with Embedding-Gated CNN
Product reviews, in the form of texts dominantly, significantly help con...
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05/11/2018
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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04/17/2018
Feature Propagation on Graph: A New Perspective to Graph Representation Learning
We study feature propagation on graph, an inference process involved in ...
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04/17/2018
A Boosting Framework of Factorization Machine
Recently, Factorization Machines (FM) has become more and more popular f...
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04/13/2018
Distributed Collaborative Hashing and Its Applications in Ant Financial
Collaborative filtering, especially latent factor model, has been popula...
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02/27/2018
Time-sensitive Customer Churn Prediction based on PU Learning
With the fast development of Internet companies throughout the world, cu...
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02/20/2018
Non-Local Graph-Based Prediction For Reversible Data Hiding In Images
Reversible data hiding (RDH) is desirable in applications where both the...
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02/03/2018
GeniePath: Graph Neural Networks with Adaptive Receptive Paths
We present, GeniePath, a scalable approach for learning adaptive recepti...
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02/02/2018
Secure Detection of Image Manipulation by means of Random Feature Selection
We address the problem of data-driven image manipulation detection in th...
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09/12/2017
Small-footprint Keyword Spotting Using Deep Neural Network and Connectionist Temporal Classifier
Mainly for the sake of solving the lack of keyword-specific data, we pro...
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05/29/2014