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 Skill Matching at Scale: Freelancer-project Alignment For Efficient Multilingual Candidate Retrieval, by Warren Jouanneau et al.
Skill matching at scale: freelancer-project alignment for efficient multilingual candidate retrievalby Warren Jouanneau, Marc Palyart,…
Summary of The Impact Of Element Ordering on Lm Agent Performance, by Wayne Chi et al.
The Impact of Element Ordering on LM Agent Performanceby Wayne Chi, Ameet Talwalkar, Chris DonahueFirst…
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 Qwen2.5-math Technical Report: Toward Mathematical Expert Model Via Self-improvement, by An Yang et al.
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvementby An Yang, Beichen Zhang, Binyuan Hui,…
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…