HyperSMOTE: A Hypergraph-based Oversampling Approach for Imbalanced Node Classificationsby Ziming Zhao, Tiehua Zhang, Zijian Yi,…
When resampling/reweighting improves feature learning in imbalanced classification?: A toy-model studyby Tomoyuki Obuchi, Toshiyuki TanakaFirst…
Synthetic Tabular Data Generation for Class Imbalance and Fairness: A Comparative Studyby Emmanouil Panagiotou, Arjun…
Sample and Oracle Efficient Reinforcement Learning for MDPs with Linearly-Realizable Value Functionsby Zakaria MhammediFirst submitted…
Sequential Classification of Misinformationby Daniel Toma, Wasim HuleihelFirst submitted to arxiv on: 7 Sep 2024CategoriesMain:…
Unsupervised Adaptive Normalizationby Bilal Faye, Hanane Azzag, Mustapha Lebbah, Fangchen FangFirst submitted to arxiv on:…
Chain-of-Translation Prompting (CoTR): A Novel Prompting Technique for Low Resource Languagesby Tejas Deshpande, Nidhi Kowtal,…
Active-Passive Federated Learning for Vertically Partitioned Multi-view Databy Jiyuan Liu, Xinwang Liu, Siqi Wang, Xingchen…
CUQ-GNN: Committee-based Graph Uncertainty Quantification using Posterior Networksby Clemens Damke, Eyke HüllermeierFirst submitted to arxiv…
The Prevalence of Neural Collapse in Neural Multivariate Regressionby George Andriopoulos, Zixuan Dong, Li Guo,…