Summary of Learning Personalized Scoping For Graph Neural Networks Under Heterophily, by Gangda Deng et al.
Learning Personalized Scoping for Graph Neural Networks under Heterophilyby Gangda Deng, Hongkuan Zhou, Rajgopal Kannan,…
Summary of A Practical Theory Of Generalization in Selectivity Learning, by Peizhi Wu et al.
A Practical Theory of Generalization in Selectivity Learningby Peizhi Wu, Haoshu Xu, Ryan Marcus, Zachary…
Summary of Unsupervised Novelty Detection Methods Benchmarking with Wavelet Decomposition, by Ariel Priarone et al.
Unsupervised Novelty Detection Methods Benchmarking with Wavelet Decompositionby Ariel Priarone, Umberto Albertin, Carlo Cena, Mauro…
Summary of Data-efficient and Interpretable Inverse Materials Design Using a Disentangled Variational Autoencoder, by Cheng Zeng et al.
Data-efficient and Interpretable Inverse Materials Design using a Disentangled Variational Autoencoderby Cheng Zeng, Zulqarnain Khan,…
Summary of Personalized Federated Learning Techniques: Empirical Analysis, by Azal Ahmad Khan et al.
Personalized Federated Learning Techniques: Empirical Analysisby Azal Ahmad Khan, Ahmad Faraz Khan, Haider Ali, Ali…
Summary of Noisy Early Stopping For Noisy Labels, by William Toner et al.
Noisy Early Stopping for Noisy Labelsby William Toner, Amos StorkeyFirst submitted to arxiv on: 10…
Summary of A Dataset For Evaluating Llm-based Evaluation Functions For Research Question Extraction Task, by Yuya Fujisaki et al.
A Dataset for Evaluating LLM-based Evaluation Functions for Research Question Extraction Taskby Yuya Fujisaki, Shiro…
Summary of A Short Information-theoretic Analysis Of Linear Auto-regressive Learning, by Ingvar Ziemann
A Short Information-Theoretic Analysis of Linear Auto-Regressive Learningby Ingvar ZiemannFirst submitted to arxiv on: 10…
Summary of Aligning Machine and Human Visual Representations Across Abstraction Levels, by Lukas Muttenthaler et al.
Aligning Machine and Human Visual Representations across Abstraction Levelsby Lukas Muttenthaler, Klaus Greff, Frieda Born,…
Summary of A Machine Learning Based Approach For Statistical Analysis Of Detonation Cells From Soot Foils, by Vansh Sharma et al.
A Machine Learning Based Approach for Statistical Analysis of Detonation Cells from Soot Foilsby Vansh…