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03/01/2021
Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-Learning
In recent years, graph neural networks (GNNs) have been widely adopted i...
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01/31/2021
M2FN: Multi-step Modality Fusion for Advertisement Image Assessment
Assessing advertisements, specifically on the basis of user preferences ...
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08/14/2020
Which Strategies Matter for Noisy Label Classification? Insight into Loss and Uncertainty
Label noise is a critical factor that degrades the generalization perfor...
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07/16/2020
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs
Graph neural networks have shown superior performance in a wide range of...
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07/05/2020
Multi-Manifold Learning for Large-scale Targeted Advertising System
Messenger advertisements (ads) give direct and personal user experience ...
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05/18/2020
Graphs, Entities, and Step Mixture
Existing approaches for graph neural networks commonly suffer from the o...
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10/06/2019
Which Ads to Show? Advertisement Image Assessment with Auxiliary Information via Multi-step Modality Fusion
Assessing aesthetic preference is a fundamental task related to human co...
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04/27/2017
