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10/10/2022
fAux: Testing Individual Fairness via Gradient Alignment
Machine learning models are vulnerable to biases that result in unfair t...
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03/31/2022
Scalable Whitebox Attacks on Tree-based Models
Adversarial robustness is one of the essential safety criteria for guara...
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03/02/2022
PUMA: Performance Unchanged Model Augmentation for Training Data Removal
Preserving the performance of a trained model while removing unique char...
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10/05/2021
Multi-axis Attentive Prediction for Sparse EventData: An Application to Crime Prediction
Spatiotemporal prediction of event data is a challenging task with a lon...
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10/24/2020
Attentive Autoencoders for Multifaceted Preference Learning in One-class Collaborative Filtering
Most existing One-Class Collaborative Filtering (OC-CF) algorithms estim...
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08/03/2020
Noise Contrastive Estimation for Autoencoding-based One-Class Collaborative Filtering
One-class collaborative filtering (OC-CF) is a common class of recommend...
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04/05/2019
Scalable Nonlinear Planning with Deep Neural Network Learned Transition Models
In many real-world planning problems with factored, mixed discrete and c...
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11/02/2018
Noise Contrastive Estimation for Scalable Linear Models for One-Class Collaborative Filtering
Previous highly scalable one-class collaborative filtering methods such ...
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08/31/2018
Aesthetic Features for Personalized Photo Recommendation
Many photography websites such as Flickr, 500px, Unsplash, and Adobe Beh...
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05/20/2018