covid-19-pandemic-hospital-capacity-management-study-at-johns-hopkins-university

scaling-learning-based-policy-optimization-for-temporal-tasks-via-dropout

ghost-sentence-a-tool-for-copyrighting-data-from-large-language-models

tjcct-two-timescale-approach-for-uav-assisted-mobile-edge-computing

innovative-spatio-temporal-tracker-for-point-cloud-object-tracking

人工ポテンシャルフィールドと安全フィルターの比較研究

large-language-model-supervised-robotics-text2skill-autonomous-learning-framework

codeshell-technical-report-codeshell-base-model-development-and-performance-evaluation


A simple yet highly effective Moving Haar Learning Rate (MHLR) scheduler that can accelerate large-scale face recognition model training by 4x on a single GPU without sacrificing more than 1% accuracy.


coremsg

efficient-and-accurate-large-scale-face-recognition-training-with-moving-haar-learning-rate-scheduler-on-a-single-gpu


Efficient and Accurate Large-scale Face Recognition Training with Moving Haar Learning Rate Scheduler on a Single GPU


title_rewrite

Large-scale Face Recognition Training Optimization