Summary of Vehicle Detection Performance in Nordic Region, by Hamam Mokayed et al.
Vehicle Detection Performance in Nordic Regionby Hamam Mokayed, Rajkumar Saini, Oluwatosin Adewumi, Lama Alkhaled, Bjorn…
Summary of Empirical Investigation Of Multi-source Cross-validation in Clinical Ecg Classification, by Tuija Leinonen et al.
Empirical investigation of multi-source cross-validation in clinical ECG classificationby Tuija Leinonen, David Wong, Antti Vasankari,…
Summary of Insights Into the Lottery Ticket Hypothesis and Iterative Magnitude Pruning, by Tausifa Jan Saleem et al.
Insights into the Lottery Ticket Hypothesis and Iterative Magnitude Pruningby Tausifa Jan Saleem, Ramanjit Ahuja,…
Summary of Distributed Learning Based on 1-bit Gradient Coding in the Presence Of Stragglers, by Chengxi Li and Mikael Skoglund
Distributed Learning based on 1-Bit Gradient Coding in the Presence of Stragglersby Chengxi Li, Mikael…
Summary of Fedsr: a Semi-decentralized Federated Learning Algorithm For Non-iidness in Iot System, by Jianjun Huang et al.
FedSR: A Semi-Decentralized Federated Learning Algorithm for Non-IIDness in IoT Systemby Jianjun Huang, Lixin Ye,…
Summary of Open Knowledge Base Canonicalization with Multi-task Learning, by Bingchen Liu et al.
Open Knowledge Base Canonicalization with Multi-task Learningby Bingchen Liu, Huang Peng, Weixin Zeng, Xiang Zhao,…
Summary of Foundation Models For Time Series Analysis: a Tutorial and Survey, by Yuxuan Liang et al.
Foundation Models for Time Series Analysis: A Tutorial and Surveyby Yuxuan Liang, Haomin Wen, Yuqi…
Summary of Auto-train-once: Controller Network Guided Automatic Network Pruning From Scratch, by Xidong Wu et al.
Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratchby Xidong Wu, Shangqian Gao, Zeyu Zhang,…
Summary of Fedmef: Towards Memory-efficient Federated Dynamic Pruning, by Hong Huang et al.
FedMef: Towards Memory-efficient Federated Dynamic Pruningby Hong Huang, Weiming Zhuang, Chen Chen, Lingjuan LyuFirst submitted…
Summary of Improving Robustness to Model Inversion Attacks Via Sparse Coding Architectures, by Sayanton V. Dibbo et al.
Improving Robustness to Model Inversion Attacks via Sparse Coding Architecturesby Sayanton V. Dibbo, Adam Breuer,…