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06/19/2020
Partitioned Sampling of Public Opinions Based on Their Social Dynamics
Public opinion polling is usually done by random sampling from the entir...
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06/19/2020
Multi-Round Influence Maximization
In this paper, we study the Multi-Round Influence Maximization (MRIM) pr...
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06/16/2020
New Interpretations of Normalization Methods in Deep Learning
In recent years, a variety of normalization methods have been proposed t...
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06/01/2020
Locally Differentially Private (Contextual) Bandits Learning
We study locally differentially private (LDP) bandits learning in this p...
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05/28/2020
Boosting Few-Shot Learning With Adaptive Margin Loss
Few-shot learning (FSL) has attracted increasing attention in recent yea...
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09/13/2019
DARTS+: Improved Differentiable Architecture Search with Early Stopping
Recently, there has been a growing interest in automating the process of...
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08/14/2019
Few-Shot Learning with Global Class Representations
In this paper, we propose to tackle the challenging few-shot learning (F...
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11/13/2018
Community Exploration: From Offline Optimization to Online Learning
We introduce the community exploration problem that has many real-world ...
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11/13/2018
Modeling Local Dependence in Natural Language with Multi-channel Recurrent Neural Networks
Recurrent Neural Networks (RNNs) have been widely used in processing nat...
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05/04/2018
