Summary of C-melt: Contrastive Enhanced Masked Auto-encoders For Ecg-language Pre-training, by Manh Pham et al.
C-MELT: Contrastive Enhanced Masked Auto-Encoders for ECG-Language Pre-Trainingby Manh Pham, Aaqib Saeed, Dong MaFirst submitted…
C-MELT: Contrastive Enhanced Masked Auto-Encoders for ECG-Language Pre-Trainingby Manh Pham, Aaqib Saeed, Dong MaFirst submitted…
Adaptively Private Next-Token Prediction of Large Language Modelsby James Flemings, Meisam Razaviyayn, Murali AnnavaramFirst submitted…
Review Non-convex Optimization Method for Machine Learningby Greg B Fotopoulos, Paul Popovich, Nicholas Hall PapadopoulosFirst…
Model Comparisons: XNet Outperforms KANby Xin Li, Zhihong Jeff Xia, Xiaotao ZhengFirst submitted to arxiv…
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learningby Syed Irfan Ali Meerza,…
Deep Generative Modeling for Identification of Noisy, Non-Stationary Dynamical Systemsby Doris Voina, Steven Brunton, J.…
Multi-Omic and Quantum Machine Learning Integration for Lung Subtypes Classificationby Mandeep Kaur Saggi, Amandeep Singh…
Provably Accurate Shapley Value Estimation via Leverage Score Samplingby Christopher Musco, R. Teal WitterFirst submitted…
NTK-DFL: Enhancing Decentralized Federated Learning in Heterogeneous Settings via Neural Tangent Kernelby Gabriel Thompson, Kai…
TAEGAN: Generating Synthetic Tabular Data For Data Augmentationby Jiayu Li, Zilong Zhao, Kevin Yee, Uzair…