Summary of Federated Learning Of Large Asr Models in the Real World, by Yonghui Xiao et al.
Federated Learning of Large ASR Models in the Real Worldby Yonghui Xiao, Yuxin Ding, Changwan…
Summary of Area Under the Roc Curve Has the Most Consistent Evaluation For Binary Classification, by Jing Li
Area under the ROC Curve has the Most Consistent Evaluation for Binary Classificationby Jing LiFirst…
Summary of Kolmogorov Arnold Networks in Fraud Detection: Bridging the Gap Between Theory and Practice, by Yang Lu and Felix Zhan
Kolmogorov Arnold Networks in Fraud Detection: Bridging the Gap Between Theory and Practiceby Yang Lu,…
Summary of Opdr: Order-preserving Dimension Reduction For Semantic Embedding Of Multimodal Scientific Data, by Chengyu Gong et al.
OPDR: Order-Preserving Dimension Reduction for Semantic Embedding of Multimodal Scientific Databy Chengyu Gong, Gefei Shen,…
Summary of Data-driven Fire Modeling: Learning First Arrival Times and Model Parameters with Neural Networks, by Xin Tong and Bryan Quaife
Data-Driven Fire Modeling: Learning First Arrival Times and Model Parameters with Neural Networksby Xin Tong,…
Summary of Unsupervised Machine Learning Hybrid Approach Integrating Linear Programming in Loss Function: a Robust Optimization Technique, by Andrew Kiruluta et al.
Unsupervised Machine Learning Hybrid Approach Integrating Linear Programming in Loss Function: A Robust Optimization Techniqueby…
Summary of Exploiting Fine-grained Prototype Distribution For Boosting Unsupervised Class Incremental Learning, by Jiaming Liu et al.
Exploiting Fine-Grained Prototype Distribution for Boosting Unsupervised Class Incremental Learningby Jiaming Liu, Hongyuan Liu, Zhili…
Summary of Federated Frank-wolfe Algorithm, by Ali Dadras et al.
Federated Frank-Wolfe Algorithmby Ali Dadras, Sourasekhar Banerjee, Karthik Prakhya, Alp YurtseverFirst submitted to arxiv on:…
Summary of Perturb-and-compare Approach For Detecting Out-of-distribution Samples in Constrained Access Environments, by Heeyoung Lee et al.
Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environmentsby Heeyoung Lee, Hoyoon Byun, Changdae…
Summary of Machine Learning with Physics Knowledge For Prediction: a Survey, by Joe Watson et al.
Machine Learning with Physics Knowledge for Prediction: A Surveyby Joe Watson, Chen Song, Oliver Weeger,…