Summary of Graffin: Stand For Tails in Imbalanced Node Classification, by Xiaorui Qi et al.
Graffin: Stand for Tails in Imbalanced Node Classificationby Xiaorui Qi, Yanlong Wen, Xiaojie YuanFirst submitted…
Summary of Gdflow: Anomaly Detection with Ncde-based Normalizing Flow For Advanced Driver Assistance System, by Kangjun Lee et al.
GDFlow: Anomaly Detection with NCDE-based Normalizing Flow for Advanced Driver Assistance Systemby Kangjun Lee, Minha…
Summary of Some Results on Neural Network Stability, Consistency, and Convergence: Insights Into Non-iid Data, High-dimensional Settings, and Physics-informed Neural Networks, by Ronald Katende et al.
Some Results on Neural Network Stability, Consistency, and Convergence: Insights into Non-IID Data, High-Dimensional Settings,…
Summary of From Computation to Consumption: Exploring the Compute-energy Link For Training and Testing Neural Networks For Sed Systems, by Constance Douwes et al.
From Computation to Consumption: Exploring the Compute-Energy Link for Training and Testing Neural Networks for…
Summary of Synthetic Tabular Data Generation For Class Imbalance and Fairness: a Comparative Study, by Emmanouil Panagiotou et al.
Synthetic Tabular Data Generation for Class Imbalance and Fairness: A Comparative Studyby Emmanouil Panagiotou, Arjun…
Summary of Fedmodule: a Modular Federated Learning Framework, by Chuyi Chen et al.
FedModule: A Modular Federated Learning Frameworkby Chuyi Chen, Zhe Zhang, Yanchao ZhaoFirst submitted to arxiv…
Summary of Learning Joint Models Of Prediction and Optimization, by James Kotary et al.
Learning Joint Models of Prediction and Optimizationby James Kotary, Vincenzo Di Vito, Jacob Cristopher, Pascal…
Summary of Unlocking the Potential Of Model Calibration in Federated Learning, by Yun-wei Chu et al.
Unlocking the Potential of Model Calibration in Federated Learningby Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour,…
Summary of Ngd Converges to Less Degenerate Solutions Than Sgd, by Moosa Saghir et al.
NGD converges to less degenerate solutions than SGDby Moosa Saghir, N. R. Raghavendra, Zihe Liu,…
Summary of Cubicml: Automated Ml For Large Ml Systems Co-design with Ml Prediction Of Performance, by Wei Wen et al.
CubicML: Automated ML for Large ML Systems Co-design with ML Prediction of Performanceby Wei Wen,…