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04/06/2023
Super-Resolving Face Image by Facial Parsing Information
Face super-resolution is a technology that transforms a low-resolution f...
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03/04/2023
A Self-Correcting Sequential Recommender
Sequential recommendations aim to capture users' preferences from their ...
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01/04/2023
Modeling Sequential Recommendation as Missing Information Imputation
Side information is being used extensively to improve the effectiveness ...
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06/26/2022
Towards Representation Alignment and Uniformity in Collaborative Filtering
Collaborative filtering (CF) plays a critical role in the development of...
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05/25/2022
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data Augmentation
Data augmentation (DA) is a widely used technique for enhancing the trai...
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08/31/2021
Spectral Splitting and Aggregation Network for Hyperspectral Face Super-Resolution
High-resolution (HR) hyperspectral face image plays an important role in...
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07/31/2021
Learning with Noisy Labels via Sparse Regularization
Learning with noisy labels is an important and challenging task for trai...
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03/03/2021
PML: Progressive Margin Loss for Long-tailed Age Classification
In this paper, we propose a progressive margin loss (PML) approach for u...
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01/11/2021
Deep Learning-based Face Super-resolution: A Survey
Face super-resolution, also known as face hallucination, which is aimed ...
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07/30/2020
Weakly-Supervised Cell Tracking via Backward-and-Forward Propagation
We propose a weakly-supervised cell tracking method that can train a con...
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03/09/2019
Jointly Learning Explainable Rules for Recommendation with Knowledge Graph
Explainability and effectiveness are two key aspects for building recomm...
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09/19/2018