Summary of Towards Case-based Interpretability For Medical Federated Learning, by Laura Latorre et al.
Towards Case-based Interpretability for Medical Federated Learningby Laura Latorre, Liliana Petrychenko, Regina Beets-Tan, Taisiya Kopytova,…
Summary of Enhancing Uplift Modeling in Multi-treatment Marketing Campaigns: Leveraging Score Ranking and Calibration Techniques, by Yoon Tae Park et al.
Enhancing Uplift Modeling in Multi-Treatment Marketing Campaigns: Leveraging Score Ranking and Calibration Techniquesby Yoon Tae…
Summary of Explanatory Model Monitoring to Understand the Effects Of Feature Shifts on Performance, by Thomas Decker et al.
Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performanceby Thomas Decker, Alexander…
Summary of Reactzyme: a Benchmark For Enzyme-reaction Prediction, by Chenqing Hua et al.
ReactZyme: A Benchmark for Enzyme-Reaction Predictionby Chenqing Hua, Bozitao Zhong, Sitao Luan, Liang Hong, Guy…
Summary of Localize-and-stitch: Efficient Model Merging Via Sparse Task Arithmetic, by Yifei He et al.
Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmeticby Yifei He, Yuzheng Hu, Yong Lin, Tong…
Summary of Outlier Detection Bias Busted: Understanding Sources Of Algorithmic Bias Through Data-centric Factors, by Xueying Ding et al.
Outlier Detection Bias Busted: Understanding Sources of Algorithmic Bias through Data-centric Factorsby Xueying Ding, Rui…
Summary of Hierarchical Network Fusion For Multi-modal Electron Micrograph Representation Learning with Foundational Large Language Models, by Sakhinana Sagar Srinivas et al.
Hierarchical Network Fusion for Multi-Modal Electron Micrograph Representation Learning with Foundational Large Language Modelsby Sakhinana…
Summary of Decentralised Variational Inference Frameworks For Multi-object Tracking on Sensor Networks: Additional Notes, by Qing Li et al.
Decentralised Variational Inference Frameworks for Multi-object Tracking on Sensor Networks: Additional Notesby Qing Li, Runze…
Summary of Understanding Uncertainty-based Active Learning Under Model Mismatch, by Amir Hossein Rahmati et al.
Understanding Uncertainty-based Active Learning Under Model Mismatchby Amir Hossein Rahmati, Mingzhou Fan, Ruida Zhou, Nathan…
Summary of Revisiting Dnn Training For Intermittently-powered Energy-harvesting Micro-computers, by Cyan Subhra Mishra et al.
Revisiting DNN Training for Intermittently-Powered Energy-Harvesting Micro-Computersby Cyan Subhra Mishra, Deeksha Chaudhary, Jack Sampson, Mahmut…