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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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12/06/2022
Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective
Positive-Unlabeled (PU) learning tries to learn binary classifiers from ...
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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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09/13/2022
A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation Is the Fixed Point of Adversarial Game
Rank aggregation with pairwise comparisons has shown promising results i...
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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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04/02/2022
IR-GAN: Image Manipulation with Linguistic Instruction by Increment Reasoning
Conditional image generation is an active research topic including text2...
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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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07/05/2021
Poisoning Attack against Estimating from Pairwise Comparisons
As pairwise ranking becomes broadly employed for elections, sports compe...
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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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08/07/2020
NuI-Go: Recursive Non-Local Encoder-Decoder Network for Retinal Image Non-Uniform Illumination Removal
Retinal images have been widely used by clinicians for early diagnosis o...
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07/14/2020
RGB-D Salient Object Detection with Cross-Modality Modulation and Selection
We present an effective method to progressively integrate and refine the...
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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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03/02/2020
Global Context-Aware Progressive Aggregation Network for Salient Object Detection
Deep convolutional neural networks have achieved competitive performance...
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12/01/2019
Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size
Learning representation from relative similarity comparisons, often call...
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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
Robust Ordinal Embedding from Contaminated Relative Comparisons
Existing ordinal embedding methods usually follow a two-stage routine: o...
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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
A Margin-based MLE for Crowdsourced Partial Ranking
A preference order or ranking aggregated from pairwise comparison data i...
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03/08/2018
From Social to Individuals: a Parsimonious Path of Multi-level Models for Crowdsourced Preference Aggregation
In crowdsourced preference aggregation, it is often assumed that all the...
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11/17/2017
Stochastic Non-convex Ordinal Embedding with Stabilized Barzilai-Borwein Step Size
Learning representation from relative similarity comparisons, often call...
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11/16/2017
HodgeRank with Information Maximization for Crowdsourced Pairwise Ranking Aggregation
Recently, crowdsourcing has emerged as an effective paradigm for human-p...
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07/18/2017
Exploring Outliers in Crowdsourced Ranking for QoE
Outlier detection is a crucial part of robust evaluation for crowdsource...
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05/19/2016
False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking
With the rapid growth of crowdsourcing platforms it has become easy and ...
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02/28/2015