Summary of Fssc: Federated Learning Of Transformer Neural Networks For Semantic Image Communication, by Yuna Yan et al.
FSSC: Federated Learning of Transformer Neural Networks for Semantic Image Communicationby Yuna Yan, Xin Zhang,…
Summary of Tabular Data Augmentation For Machine Learning: Progress and Prospects Of Embracing Generative Ai, by Lingxi Cui and Huan Li and Ke Chen and Lidan Shou and Gang Chen
Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AIby Lingxi Cui,…
Summary of Data Contamination Report From the 2024 Conda Shared Task, by Oscar Sainz et al.
Data Contamination Report from the 2024 CONDA Shared Taskby Oscar Sainz, Iker García-Ferrero, Alon Jacovi,…
Summary of The Stochastic Conjugate Subgradient Algorithm For Kernel Support Vector Machines, by Di Zhang and Suvrajeet Sen
The Stochastic Conjugate Subgradient Algorithm For Kernel Support Vector Machinesby Di Zhang, Suvrajeet SenFirst submitted…
Summary of Zero Shot Health Trajectory Prediction Using Transformer, by Pawel Renc et al.
Zero Shot Health Trajectory Prediction Using Transformerby Pawel Renc, Yugang Jia, Anthony E. Samir, Jaroslaw…
Summary of Tuning the Frequencies: Robust Training For Sinusoidal Neural Networks, by Tiago Novello et al.
Tuning the Frequencies: Robust Training for Sinusoidal Neural Networksby Tiago Novello, Diana Aldana, Andre Araujo,…
Summary of Computational Music Analysis From First Principles, by Dmitri Tymoczko and Mark Newman
Computational music analysis from first principlesby Dmitri Tymoczko, Mark NewmanFirst submitted to arxiv on: 30…
Summary of Private Collaborative Edge Inference Via Over-the-air Computation, by Selim F. Yilmaz et al.
Private Collaborative Edge Inference via Over-the-Air Computationby Selim F. Yilmaz, Burak Hasircioglu, Li Qiao, Deniz…
Summary of Embedding Space Selection For Detecting Memorization and Fingerprinting in Generative Models, by Jack He et al.
Embedding Space Selection for Detecting Memorization and Fingerprinting in Generative Modelsby Jack He, Jianxing Zhao,…
Summary of Dkl-kan: Scalable Deep Kernel Learning Using Kolmogorov-arnold Networks, by Shrenik Zinage et al.
DKL-KAN: Scalable Deep Kernel Learning using Kolmogorov-Arnold Networksby Shrenik Zinage, Sudeepta Mondal, Soumalya SarkarFirst submitted…