Summary of Decoupled Vertical Federated Learning For Practical Training on Vertically Partitioned Data, by Avi Amalanshu et al.
Decoupled Vertical Federated Learning for Practical Training on Vertically Partitioned Databy Avi Amalanshu, Yash Sirvi,…
Summary of Three Revisits to Node-level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks, by Jing Gu et al.
Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networksby Jing…
Summary of Knockoff-guided Feature Selection Via a Single Pre-trained Reinforced Agent, by Xinyuan Wang et al.
Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced Agentby Xinyuan Wang, Dongjie Wang, Wangyang Ying,…
Summary of Unsupervised Learning Approaches For Identifying Icu Patient Subgroups: Do Results Generalise?, by Harry Mayne et al.
Unsupervised Learning Approaches for Identifying ICU Patient Subgroups: Do Results Generalise?by Harry Mayne, Guy Parsons,…
Summary of Encodings For Prediction-based Neural Architecture Search, by Yash Akhauri et al.
Encodings for Prediction-based Neural Architecture Searchby Yash Akhauri, Mohamed S. AbdelfattahFirst submitted to arxiv on:…
Summary of Unsupervised Distance Metric Learning For Anomaly Detection Over Multivariate Time Series, by Hanyang Yuan et al.
Unsupervised Distance Metric Learning for Anomaly Detection Over Multivariate Time Seriesby Hanyang Yuan, Qinglin Cai,…
Summary of Collaborate to Adapt: Source-free Graph Domain Adaptation Via Bi-directional Adaptation, by Zhen Zhang et al.
Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptationby Zhen Zhang, Meihan Liu, Anhui…
Summary of Applying Self-supervised Learning to Network Intrusion Detection For Network Flows with Graph Neural Network, by Renjie Xu et al.
Applying Self-supervised Learning to Network Intrusion Detection for Network Flows with Graph Neural Networkby Renjie…
Summary of Small Models Are Llm Knowledge Triggers on Medical Tabular Prediction, by Jiahuan Yan et al.
Small Models are LLM Knowledge Triggers on Medical Tabular Predictionby Jiahuan Yan, Jintai Chen, Chaowen…
Summary of Robust Deep Labeling Of Radiological Emphysema Subtypes Using Squeeze and Excitation Convolutional Neural Networks: the Mesa Lung and Spiromics Studies, by Artur Wysoczanski et al.
Robust deep labeling of radiological emphysema subtypes using squeeze and excitation convolutional neural networks: The…