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Found 5 papers, 1 papers with code
BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU Hardware
Efficient large-scale neural network training and inference on commodity CPU hardware is of immense practical significance in democratizing deep learning (DL) capabilities.
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A Deep Reinforcement Learning Approach to Rare Event Estimation
An important step in the design of autonomous systems is to evaluate the probability that a failure will occur.
A Particle Filtering Framework for Integrity Risk of GNSS-Camera Sensor Fusion
In our work, we extend Particle RAIM to a GNSS-camera fused system for joint state estimation and integrity monitoring.
On the Role of Receptive Field in Unsupervised Sim-to-Real Image Translation
Generative Adversarial Networks (GANs) are now widely used for photo-realistic image synthesis.
Saliency Prediction for Mobile User Interfaces
However, given the difference in what constitutes a mobile interface, and the usage context of these devices, we postulate that saliency prediction for mobile interface images requires a fresh approach.
