Explain Variance of Prediction in Variational Time Series Models for Clinical Deterioration Predictionby Jiacheng Liu,…
A Kalman Filter Based Framework for Monitoring the Performance of In-Hospital Mortality Prediction Models Over…
Estimating Player Performance in Different Contexts Using Fine-tuned Large Events Modelsby Tiago Mendes-Neves, Luís Meireles,…
Monitored Markov Decision Processesby Simone Parisi, Montaser Mohammedalamen, Alireza Kazemipour, Matthew E. Taylor, Michael BowlingFirst…
Forecasting Events in Soccer Matches Through Languageby Tiago Mendes-Neves, Luís Meireles, João Mendes-MoreiraFirst submitted to…
Gyroscope-Assisted Motion Deblurring Networkby Simin Luan, Cong Yang, Zeyd Boukhers, Xue Qin, Dongfeng Cheng, Wei…
For Better or For Worse? Learning Minimum Variance Features With Label Augmentationby Muthu Chidambaram, Rong…
LiRank: Industrial Large Scale Ranking Models at LinkedInby Fedor Borisyuk, Mingzhou Zhou, Qingquan Song, Siyu…
Discriminative Adversarial Unlearningby Rohan Sharma, Shijie Zhou, Kaiyi Ji, Changyou ChenFirst submitted to arxiv on:…
Low-Rank Approximation of Structural Redundancy for Self-Supervised Learningby Kang Du, Yu XiangFirst submitted to arxiv…