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Found 7 papers, 1 papers with code
Privacy-Preserving Sequential Recommendation with Collaborative Confusion
Unlike existing research, we capture collaborative signals of neighbor interaction sequences and directly inject indistinguishable items into the target sequence before the recommendation process begins, thereby increasing the perplexity of the target sequence.
Gaussian Label Distribution Learning for Spherical Image Object Detection
Therefore, we propose GLDL-ATSS as a better training sample selection strategy for objects of the spherical image, which can alleviate the drawback of IoU threshold-based strategy of scale-sample imbalance.
Prior-mean-assisted Bayesian optimization application on FRIB Front-End tunning
Bayesian optimization~(BO) is often used for accelerator tuning due to its high sample efficiency.
Deep Factorization Model for Robust Recommendation
Recently, malevolent user hacking has become a huge problem for real-world companies.
Unbiased IoU for Spherical Image Object Detection
In this paper, we first identify that spherical rectangles are unbiased bounding boxes for objects in spherical images, and then propose an analytical method for IoU calculation without any approximations.
Nature of $X(6900)$ and its production mechanism at LHCb
We show that the Pomeron exchanges play a unique role in vector charmonium scatterings.
High Energy Physics - Phenomenology
Dense Scale Network for Crowd Counting
The key component of our network is the dense dilated convolution block, in which each dilation layer is densely connected with the others to preserve information from continuously varied scales.
