Summary of Deep Learning-based Residual Useful Lifetime Prediction For Assets with Uncertain Failure Modes, by Yuqi Su et al.
Deep Learning-Based Residual Useful Lifetime Prediction for Assets with Uncertain Failure Modesby Yuqi Su, Xiaolei…
Summary of Enhancing Suicide Risk Detection on Social Media Through Semi-supervised Deep Label Smoothing, by Matthew Squires et al.
Enhancing Suicide Risk Detection on Social Media through Semi-Supervised Deep Label Smoothingby Matthew Squires, Xiaohui…
Summary of Real-time Pill Identification For the Visually Impaired Using Deep Learning, by Bo Dang et al.
Real-Time Pill Identification for the Visually Impaired Using Deep Learningby Bo Dang, Wenchao Zhao, Yufeng…
Summary of How Inverse Conditional Flows Can Serve As a Substitute For Distributional Regression, by Lucas Kook et al.
How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regressionby Lucas Kook, Chris…
Summary of Robust Deep Learning From Weakly Dependent Data, by William Kengne and Modou Wade
Robust deep learning from weakly dependent databy William Kengne, Modou WadeFirst submitted to arxiv on:…
Summary of Selective Classification Under Distribution Shifts, by Hengyue Liang et al.
Selective Classification Under Distribution Shiftsby Hengyue Liang, Le Peng, Ju SunFirst submitted to arxiv on:…
Summary of Benthicnet: a Global Compilation Of Seafloor Images For Deep Learning Applications, by Scott C. Lowe et al.
BenthicNet: A global compilation of seafloor images for deep learning applicationsby Scott C. Lowe, Benjamin…
Summary of An Attention-based Deep Generative Model For Anomaly Detection in Industrial Control Systems, by Mayra Macas et al.
An Attention-Based Deep Generative Model for Anomaly Detection in Industrial Control Systemsby Mayra Macas, Chunming…
Summary of Test-time Augmentation For Traveling Salesperson Problem, by Ryo Ishiyama et al.
Test-Time Augmentation for Traveling Salesperson Problemby Ryo Ishiyama, Takahiro Shirakawa, Seiichi Uchida, Shinnosuke MatsuoFirst submitted…
Summary of Deepdamagenet: a Two-step Deep-learning Model For Multi-disaster Building Damage Segmentation and Classification Using Satellite Imagery, by Irene Alisjahbana et al.
DeepDamageNet: A two-step deep-learning model for multi-disaster building damage segmentation and classification using satellite imageryby…