Summary of Quantifying the Gain in Weak-to-strong Generalization, by Moses Charikar et al.
Quantifying the Gain in Weak-to-Strong Generalizationby Moses Charikar, Chirag Pabbaraju, Kirankumar ShiragurFirst submitted to arxiv…
Summary of Beyond the Noise: Intrinsic Dimension Estimation with Optimal Neighbourhood Identification, by Antonio Di Noia et al.
Beyond the noise: intrinsic dimension estimation with optimal neighbourhood identificationby Antonio Di Noia, Iuri Macocco,…
Summary of Better Membership Inference Privacy Measurement Through Discrepancy, by Ruihan Wu et al.
Better Membership Inference Privacy Measurement through Discrepancyby Ruihan Wu, Pengrun Huang, Kamalika ChaudhuriFirst submitted to…
Summary of Prodag: Projection-induced Variational Inference For Directed Acyclic Graphs, by Ryan Thompson et al.
ProDAG: Projection-Induced Variational Inference for Directed Acyclic Graphsby Ryan Thompson, Edwin V. Bonilla, Robert KohnFirst…
Summary of Message-passing Monte Carlo: Generating Low-discrepancy Point Sets Via Graph Neural Networks, by T. Konstantin Rusch et al.
Message-Passing Monte Carlo: Generating low-discrepancy point sets via Graph Neural Networksby T. Konstantin Rusch, Nathan…
Summary of Model-agnostic Utility-preserving Biometric Information Anonymization, by Chun-fu Chen et al.
Model-Agnostic Utility-Preserving Biometric Information Anonymizationby Chun-Fu Chen, Bill Moriarty, Shaohan Hu, Sean Moran, Marco Pistoia,…
Summary of A Survey Of Distributed Learning in Cloud, Mobile, and Edge Settings, by Madison Threadgill et al.
A Survey of Distributed Learning in Cloud, Mobile, and Edge Settingsby Madison Threadgill, Andreas GerstlauerFirst…
Summary of Detail: Task Demonstration Attribution For Interpretable In-context Learning, by Zijian Zhou et al.
DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learningby Zijian Zhou, Xiaoqiang Lin, Xinyi Xu, Alok…
Summary of In-context Time Series Predictor, by Jiecheng Lu et al.
In-context Time Series Predictorby Jiecheng Lu, Yan Sun, Shihao YangFirst submitted to arxiv on: 23…
Summary of Private Regression Via Data-dependent Sufficient Statistic Perturbation, by Cecilia Ferrando et al.
Private Regression via Data-Dependent Sufficient Statistic Perturbationby Cecilia Ferrando, Daniel SheldonFirst submitted to arxiv on:…