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Found 4 papers, 1 papers with code
Contrastive Regression for Domain Adaptation on Gaze Estimation
Appearance-based Gaze Estimation leverages deep neural networks to regress the gaze direction from monocular images and achieve impressive performance.
Energy Attack: On Transferring Adversarial Examples
Base on the eigenvalues, we can model the energy distribution of adversarial perturbations.
MUSE: Multi-Scale Temporal Features Evolution for Knowledge Tracing
The proposed model is capable to capture the dynamic changes in users knowledge states at different temporal-ranges, and provides an efficient and powerful way to combine local and global features to make predictions.
Learning Black-Box Attackers with Transferable Priors and Query Feedback
This paper addresses the challenging black-box adversarial attack problem, where only classification confidence of a victim model is available.
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