Summary of Oml-ad: Online Machine Learning For Anomaly Detection in Time Series Data, by Sebastian Wette et al.
OML-AD: Online Machine Learning for Anomaly Detection in Time Series Databy Sebastian Wette, Florian HeinrichsFirst…
Summary of The Optimality Of (accelerated) Sgd For High-dimensional Quadratic Optimization, by Haihan Zhang et al.
The Optimality of (Accelerated) SGD for High-Dimensional Quadratic Optimizationby Haihan Zhang, Yuanshi Liu, Qianwen Chen,…
Summary of Darda: Domain-aware Real-time Dynamic Neural Network Adaptation, by Shahriar Rifat et al.
DARDA: Domain-Aware Real-Time Dynamic Neural Network Adaptationby Shahriar Rifat, Jonathan Ashdown, Francesco RestucciaFirst submitted to…
Summary of Cluster Aware Graph Anomaly Detection, by Lecheng Zheng et al.
Cluster Aware Graph Anomaly Detectionby Lecheng Zheng, John R. Birge, Haiyue Wu, Yifang Zhang, Jingrui…
Summary of Analysis Of Centrifugal Clutches in Two-speed Automatic Transmissions with Deep Learning-based Engagement Prediction, by Bo-yi Lin and Kai Chun Lin
Analysis of Centrifugal Clutches in Two-Speed Automatic Transmissions with Deep Learning-Based Engagement Predictionby Bo-Yi Lin,…
Summary of Rewind-to-delete: Certified Machine Unlearning For Nonconvex Functions, by Siqiao Mu et al.
Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functionsby Siqiao Mu, Diego KlabjanFirst submitted to arxiv on:…
Summary of Learning Rate Optimization For Deep Neural Networks Using Lipschitz Bandits, by Padma Priyanka et al.
Learning Rate Optimization for Deep Neural Networks Using Lipschitz Banditsby Padma Priyanka, Sheetal Kalyani, Avhishek…
Summary of Large Language Model Based Generative Error Correction: a Challenge and Baselines For Speech Recognition, Speaker Tagging, and Emotion Recognition, by Chao-han Huck Yang et al.
Large Language Model Based Generative Error Correction: A Challenge and Baselines for Speech Recognition, Speaker…
Summary of Bnem: a Boltzmann Sampler Based on Bootstrapped Noised Energy Matching, by Ruikang Ouyang et al.
BNEM: A Boltzmann Sampler Based on Bootstrapped Noised Energy Matchingby RuiKang OuYang, Bo Qiang, Zixing…
Summary of Enhancing Data Quality Through Self-learning on Imbalanced Financial Risk Data, by Xu Sun et al.
Enhancing Data Quality through Self-learning on Imbalanced Financial Risk Databy Xu Sun, Zixuan Qin, Shun…