Summary of Federated Learning with Bilateral Curation For Partially Class-disjoint Data, by Ziqing Fan et al.
Federated Learning with Bilateral Curation for Partially Class-Disjoint Databy Ziqing Fan, Ruipeng Zhang, Jiangchao Yao,…
Summary of Hierarchical Classification Auxiliary Network For Time Series Forecasting, by Yanru Sun et al.
Hierarchical Classification Auxiliary Network for Time Series Forecastingby Yanru Sun, Zongxia Xie, Dongyue Chen, Emadeldeen…
Summary of Towards Standardizing Ai Bias Exploration, by Emmanouil Krasanakis et al.
Towards Standardizing AI Bias Explorationby Emmanouil Krasanakis, Symeon PapadopoulosFirst submitted to arxiv on: 29 May…
Summary of Ciliagraph: Enabling Expression-enhanced Hyper-dimensional Computation in Ultra-lightweight and One-shot Graph Classification on Edge, by Yuxi Han and Jihe Wang and Danghui Wang
CiliaGraph: Enabling Expression-enhanced Hyper-Dimensional Computation in Ultra-Lightweight and One-Shot Graph Classification on Edgeby Yuxi Han,…
Summary of A Mallows-like Criterion For Anomaly Detection with Random Forest Implementation, by Gaoxiang Zhao et al.
A Mallows-like Criterion for Anomaly Detection with Random Forest Implementationby Gaoxiang Zhao, Lu Wang, Xiaoqiang…
Summary of Lspi: Heterogeneous Graph Neural Network Classification Aggregation Algorithm Based on Size Neighbor Path Identification, by Yufei Zhao et al.
LSPI: Heterogeneous Graph Neural Network Classification Aggregation Algorithm Based on Size Neighbor Path Identificationby Yufei…
Summary of Large Brain Model For Learning Generic Representations with Tremendous Eeg Data in Bci, by Wei-bang Jiang et al.
Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCIby Wei-Bang Jiang,…
Summary of Mokd: Cross-domain Finetuning For Few-shot Classification Via Maximizing Optimized Kernel Dependence, by Hongduan Tian et al.
MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependenceby Hongduan Tian, Feng Liu,…
Summary of Rejection Via Learning Density Ratios, by Alexander Soen et al.
Rejection via Learning Density Ratiosby Alexander Soen, Hisham Husain, Philip Schulz, Vu NguyenFirst submitted to…
Summary of Sgd Method For Entropy Error Function with Smoothing L0 Regularization For Neural Networks, by Trong-tuan Nguyen et al.
SGD method for entropy error function with smoothing l0 regularization for neural networksby Trong-Tuan Nguyen,…