Summary of Uncovering Capabilities Of Model Pruning in Graph Contrastive Learning, by Junran Wu et al.
Uncovering Capabilities of Model Pruning in Graph Contrastive Learningby Junran Wu, Xueyuan Chen, Shangzhe LiFirst…
Summary of Leveraging Auxiliary Task Relevance For Enhanced Bearing Fault Diagnosis Through Curriculum Meta-learning, by Jinze Wang et al.
Leveraging Auxiliary Task Relevance for Enhanced Bearing Fault Diagnosis through Curriculum Meta-learningby Jinze Wang, Jiong…
Summary of Rethinking Reconstruction-based Graph-level Anomaly Detection: Limitations and a Simple Remedy, by Sunwoo Kim et al.
Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedyby Sunwoo Kim, Soo Yong Lee,…
Summary of Intuitionistic Fuzzy Universum Twin Support Vector Machine For Imbalanced Data, by A. Quadir et al.
Intuitionistic Fuzzy Universum Twin Support Vector Machine for Imbalanced Databy A. Quadir, M. TanveerFirst submitted…
Summary of Multiple Kernel Concept Factorization Algorithm Based on Global Fusion, by Fei Li et al.
Multiple kernel concept factorization algorithm based on global fusionby Fei Li, Liang Du, Chaohong RenFirst…
Summary of Fusefl: One-shot Federated Learning Through the Lens Of Causality with Progressive Model Fusion, by Zhenheng Tang et al.
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusionby Zhenheng Tang,…
Summary of Unsupervised Feature Selection Algorithm Based on Dual Manifold Re-ranking, by Yunhui Liang et al.
Unsupervised Feature Selection Algorithm Based on Dual Manifold Re-rankingby Yunhui Liang, Jianwen Gan, Yan Chen,…
Summary of Hierarchical Multiple Kernel K-means Algorithm Based on Sparse Connectivity, by Lei Wang et al.
Hierarchical Multiple Kernel K-Means Algorithm Based on Sparse Connectivityby Lei Wang, Liang Du, Peng ZhouFirst…
Summary of Evaluation Of Uncertainty Estimations For Gaussian Process Regression Based Machine Learning Interatomic Potentials, by Matthias Holzenkamp et al.
Evaluation of uncertainty estimations for Gaussian process regression based machine learning interatomic potentialsby Matthias Holzenkamp,…
Summary of Thunderkittens: Simple, Fast, and Adorable Ai Kernels, by Benjamin F. Spector et al.
ThunderKittens: Simple, Fast, and Adorable AI Kernelsby Benjamin F. Spector, Simran Arora, Aaryan Singhal, Daniel…