Meta-Wrapper : Differentiable Wrapping Operator for User Interest Selection i…

Click-through rate (CTR) prediction, whose goal is to predict the probability of the user to click on an item, has become increasingly significant in the recommender systems. Recently, some deep le…

Learning With Multiclass AUC : Theory and Algorithms

The Area under the ROC curve (AUC) is a well-known ranking metric for problems such as imbalanced learning and recommender systems. The vast majority of existing AUC-optimization-based machine lear…

Poisoning Attack Against Estimating From Pairwise Comparisons

As pairwise ranking becomes broadly employed for elections, sports competitions, recommendation, information retrieval and so on, attackers have strong motivation and incentives to manipulate or di…

Not All Samples are Trustworthy : Towards Deep Robust SVP Prediction

In this paper, we study the problem of estimating subjective visual properties (SVP) for images, which is an emerging task in Computer Vision. Generally speaking, collecting SVP datasets involves a…

Task-Feature Collaborative Learning with Application to Personalized Attribut…

As an effective learning paradigm against insufficient training samples, multi-task learning (MTL) encourages knowledge sharing across multiple related tasks so as to improve the overall performanc…

Harmonized Multimodal Learning with Gaussian Process Latent Variable Models