Summary of Unsupervised Domain Adaptation Via Data Pruning, by Andrea Napoli et al.
Unsupervised Domain Adaptation Via Data Pruningby Andrea Napoli, Paul WhiteFirst submitted to arxiv on: 18…
Summary of Towards Interpretable End-stage Renal Disease (esrd) Prediction: Utilizing Administrative Claims Data with Explainable Ai Techniques, by Yubo Li et al.
Towards Interpretable End-Stage Renal Disease (ESRD) Prediction: Utilizing Administrative Claims Data with Explainable AI Techniquesby…
Summary of Symmetry-enriched Learning: a Category-theoretic Framework For Robust Machine Learning Models, by Ronald Katende
Symmetry-Enriched Learning: A Category-Theoretic Framework for Robust Machine Learning Modelsby Ronald KatendeFirst submitted to arxiv…
Summary of Fedlf: Adaptive Logit Adjustment and Feature Optimization in Federated Long-tailed Learning, by Xiuhua Lu et al.
FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated Long-Tailed Learningby Xiuhua Lu, Peng Li,…
Summary of Pareto Data Framework: Steps Towards Resource-efficient Decision Making Using Minimum Viable Data (mvd), by Tashfain Ahmed and Josh Siegel
Pareto Data Framework: Steps Towards Resource-Efficient Decision Making Using Minimum Viable Data (MVD)by Tashfain Ahmed,…
Summary of Stronger Baseline Models — a Key Requirement For Aligning Machine Learning Research with Clinical Utility, by Nathan Wolfrath et al.
Stronger Baseline Models – A Key Requirement for Aligning Machine Learning Research with Clinical Utilityby…
Summary of Almost Sure Convergence Of Linear Temporal Difference Learning with Arbitrary Features, by Jiuqi Wang and Shangtong Zhang
Almost Sure Convergence of Linear Temporal Difference Learning with Arbitrary Featuresby Jiuqi Wang, Shangtong ZhangFirst…
Summary of Graph Neural Network-state Predictive Information Bottleneck (gnn-spib) Approach For Learning Molecular Thermodynamics and Kinetics, by Ziyue Zou et al.
Graph Neural Network-State Predictive Information Bottleneck (GNN-SPIB) approach for learning molecular thermodynamics and kineticsby Ziyue…
Summary of Recent Advances in Ood Detection: Problems and Approaches, by Shuo Lu et al.
Recent Advances in OOD Detection: Problems and Approachesby Shuo Lu, Yingsheng Wang, Lijun Sheng, Aihua…
Summary of Less Memory Means Smaller Gpus: Backpropagation with Compressed Activations, by Daniel Barley et al.
Less Memory Means smaller GPUs: Backpropagation with Compressed Activationsby Daniel Barley, Holger FröningFirst submitted to…