
FedFair: Training Fair Models In CrossSilo Federated Learning
Building fair machine learning models becomes more and more important. A...
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Learning from Multiple Noisy Augmented Data Sets for Better CrossLingual Spoken Language Understanding
Lack of training data presents a grand challenge to scaling out spoken l...
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AutoSplit: A General Framework of Collaborative EdgeCloud AI
In many industry scale applications, large and resource consuming machin...
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Finding Representative Interpretations on Convolutional Neural Networks
Interpreting the decision logic behind effective deep convolutional neur...
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Robust Counterfactual Explanations on Graph Neural Networks
Massive deployment of Graph Neural Networks (GNNs) in highstake applica...
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Decentralized Composite Optimization in Stochastic Networks: A Dual Averaging Approach with Linear Convergence
Decentralized optimization, particularly the class of decentralized comp...
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Graph Neural Networks for Natural Language Processing: A Survey
Deep learning has become the dominant approach in coping with various ta...
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Reinforced Iterative Knowledge Distillation for CrossLingual Named Entity Recognition
Named entity recognition (NER) is a fundamental component in many applic...
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Model Complexity of Deep Learning: A Survey
Model complexity is a fundamental problem in deep learning. In this pape...
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Reinforced MultiTeacher Selection for Knowledge Distillation
In natural language processing (NLP) tasks, slow inference speed and hug...
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CalibreNet: Calibration Networks for Multilingual Sequence Labeling
Lack of training data in lowresource languages presents huge challenges...
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Comprehensible Counterfactual Interpretation on KolmogorovSmirnov Test
The KolmogorovSmirnov (KS) test is popularly used in many applications,...
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Crosslingual Machine Reading Comprehension with Language Branch Knowledge Distillation
Crosslingual Machine Reading Comprehension (CLMRC) remains a challengin...
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A Graph Representation of Semistructured Data for Web Question Answering
The abundant semistructured data on the Web, such as HTMLbased tables ...
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Differential Privacy and Its Applications in Social Network Analysis: A Survey
Differential privacy is effective in sharing information and preserving ...
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A Survey on Data Pricing: from Economics to Data Science
Data are invaluable. How can we assess the value of data objectively, sy...
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Accelerated ZerothOrder Momentum Methods from Mini to Minimax Optimization
In the paper, we propose a new accelerated zerothorder momentum (AccZO...
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MomentumBased Policy Gradient Methods
In the paper, we propose a class of efficient momentumbased policy grad...
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Personalized Federated Learning: An Attentive Collaboration Approach
For the challenging computational environment of IOT/edge computing, per...
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AMGCN: Adaptive Multichannel Graph Convolutional Networks
Graph Convolutional Networks (GCNs) have gained great popularity in tack...
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Measuring Model Complexity of Neural Networks with Curve Activation Functions
It is fundamental to measure model complexity of deep neural networks. T...
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Mining Implicit Relevance Feedback from User Behavior for Web Question Answering
Training and refreshing a webscale Question Answering (QA) system for a...
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Mining Implicit Relevance Feedback from User Behavior forWeb Question Answering
Training and refreshing a webscale Question Answering (QA) system for a...
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EigenGNN: A Graph Structure Preserving Plugin for GNNs
Graph Neural Networks (GNNs) are emerging machine learning models on gra...
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Nonconvex ZerothOrder Stochastic ADMM Methods with Lower Function Query Complexity
Zerothorder (gradientfree) method is a class of powerful optimization ...
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Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution
More and more AI services are provided through APIs on cloud where predi...
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Eclipse: Generalizing kNN and Skyline
k nearest neighbor (kNN) queries and skyline queries are important opera...
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Visuallyaware Recommendation with Aesthetic Features
Visual information plays a critical role in human decisionmaking proces...
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Efficient Contour Computation of Groupbased Skyline
Skyline, aiming at finding a Pareto optimal subset of points in a multi...
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Skyline Diagram: Efficient Space Partitioning for Skyline Queries
Skyline queries are important in many application domains. In this paper...
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Secure and Efficient Skyline Queries on Encrypted Data
Outsourcing data and computation to cloud server provides a costeffecti...
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Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution
Strong intelligent machines powered by deep neural networks are increasi...
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Finding Theme Communities from Database Networks: from Mining to Indexing and Query Answering
Given a database network where each vertex is associated with a transact...
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Preferencedriven Similarity Join
Similarity join, which can find similar objects (e.g., products, names, ...
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Jian Pei
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