Summary of Active Learning to Guide Labeling Efforts For Question Difficulty Estimation, by Arthur Thuy et al.
Active Learning to Guide Labeling Efforts for Question Difficulty Estimationby Arthur Thuy, Ekaterina Loginova, Dries…
Summary of Tabkanet: Tabular Data Modeling with Kolmogorov-arnold Network and Transformer, by Weihao Gao et al.
TabKANet: Tabular Data Modeling with Kolmogorov-Arnold Network and Transformerby Weihao Gao, Zheng Gong, Zhuo Deng,…
Summary of Establish Seedling Quality Classification Standard For Chrysanthemum Efficiently with Help Of Deep Clustering Algorithm, by Yanzhi Jing and Hongguang Zhao and Shujun Yu
Establish seedling quality classification standard for Chrysanthemum efficiently with help of deep clustering algorithmby Yanzhi…
Summary of Model-independent Variable Selection Via the Rule-based Variable Priority, by Min Lu and Hemant Ishwaran
Model-independent variable selection via the rule-based variable priorityby Min Lu, Hemant IshwaranFirst submitted to arxiv…
Summary of Personalized Weight Loss Management Through Wearable Devices and Artificial Intelligence, by Sergio Romero-tapiador et al.
Personalized Weight Loss Management through Wearable Devices and Artificial Intelligenceby Sergio Romero-Tapiador, Ruben Tolosana, Aythami…
Summary of Uncertainty Estimation by Density Aware Evidential Deep Learning, By Taeseong Yoon and Heeyoung Kim
Uncertainty Estimation by Density Aware Evidential Deep Learningby Taeseong Yoon, Heeyoung KimFirst submitted to arxiv…
Summary of Optimal Classification-based Anomaly Detection with Neural Networks: Theory and Practice, by Tian-yi Zhou et al.
Optimal Classification-based Anomaly Detection with Neural Networks: Theory and Practiceby Tian-Yi Zhou, Matthew Lau, Jizhou…
Summary of Byzantine-robust and Communication-efficient Distributed Learning Via Compressed Momentum Filtering, by Changxin Liu et al.
Byzantine-Robust and Communication-Efficient Distributed Learning via Compressed Momentum Filteringby Changxin Liu, Yanghao Li, Yuhao Yi,…
Summary of Cliqueph: Higher-order Information For Graph Neural Networks Through Persistent Homology on Clique Graphs, by Davide Buffelli et al.
CliquePH: Higher-Order Information for Graph Neural Networks through Persistent Homology on Clique Graphsby Davide Buffelli,…
Summary of Style-based Clustering Of Visual Artworks and the Play Of Neural Style-representations, by Abhishek Dangeti et al.
Style-based Clustering of Visual Artworks and the Play of Neural Style-Representationsby Abhishek Dangeti, Pavan Gajula,…