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04/18/2023
A Study of Neural Collapse Phenomenon: Grassmannian Frame, Symmetry, Generalization
In this paper, we extends original Neural Collapse Phenomenon by proving...
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10/08/2022
Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm
The Partial Area Under the ROC Curve (PAUC), typically including One-way...
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06/28/2022
Meta-Wrapper: Differentiable Wrapping Operator for User Interest Selection in CTR Prediction
Click-through rate (CTR) prediction, whose goal is to predict the probab...
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06/24/2022
Geometry Interaction Knowledge Graph Embeddings
Knowledge graph (KG) embeddings have shown great power in learning repre...
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06/24/2022
ER: Equivariance Regularizer for Knowledge Graph Completion
Tensor factorization and distanced based models play important roles in ...
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06/23/2022
Rethinking Collaborative Metric Learning: Toward an Efficient Alternative without Negative Sampling
The recently proposed Collaborative Metric Learning (CML) paradigm has a...
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07/28/2021
Learning with Multiclass AUC: Theory and Algorithms
The Area under the ROC curve (AUC) is a well-known ranking metric for pr...
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03/12/2021
Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association
Nowadays, we have witnessed the early progress on learning the associati...
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04/29/2020
Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction
As an effective learning paradigm against insufficient training samples,...
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10/14/2019
iSplit LBI: Individualized Partial Ranking with Ties via Split LBI
Due to the inherent uncertainty of data, the problem of predicting parti...
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06/18/2019
Learning Personalized Attribute Preference via Multi-task AUC Optimization
Traditionally, most of the existing attribute learning methods are train...
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03/10/2019
Deep Robust Subjective Visual Property Prediction in Crowdsourcing
The problem of estimating subjective visual properties (SVP) of images (...
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12/05/2018
Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin
In the absence of prior knowledge, ordinal embedding methods obtain new ...
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07/29/2018