Summary of Gegenbauer Graph Neural Networks For Time-varying Signal Reconstruction, by Jhon A. Castro-correa et al.
Gegenbauer Graph Neural Networks for Time-varying Signal Reconstructionby Jhon A. Castro-Correa, Jhony H. Giraldo, Mohsen…
Summary of Preventing Collapse in Contrastive Learning with Orthonormal Prototypes (clop), by Huanran Li et al.
Preventing Collapse in Contrastive Learning with Orthonormal Prototypes (CLOP)by Huanran Li, Manh Nguyen, Daniel Pimentel-AlarcónFirst…
Summary of Multi-modal Contrastive Learning For Online Clinical Time-series Applications, by Fabian Baldenweg et al.
Multi-Modal Contrastive Learning for Online Clinical Time-Series Applicationsby Fabian Baldenweg, Manuel Burger, Gunnar Rätsch, Rita…
Summary of Iip-mixer:intra-inter Patch Mixing Architecture For Battery Remaining Useful Life Prediction, by Guangzai Ye et al.
IIP-Mixer:Intra-Inter Patch Mixing Architecture for Battery Remaining Useful Life Predictionby Guangzai Ye, Li Feng, Jianlan…
Summary of Dsf-gan: Downstream Feedback Generative Adversarial Network, by Oriel Perets et al.
DSF-GAN: DownStream Feedback Generative Adversarial Networkby Oriel Perets, Nadav RappoportFirst submitted to arxiv on: 27…
Summary of A Novel Loss Function-based Support Vector Machine For Binary Classification, by Yan Li and Liping Zhang
A Novel Loss Function-based Support Vector Machine for Binary Classificationby Yan Li, Liping ZhangFirst submitted…
Summary of Partially Blinded Unlearning: Class Unlearning For Deep Networks a Bayesian Perspective, by Subhodip Panda and Shashwat Sourav and Prathosh A.p
Partially Blinded Unlearning: Class Unlearning for Deep Networks a Bayesian Perspectiveby Subhodip Panda, Shashwat Sourav,…
Summary of Improving Sampling Methods For Fine-tuning Sentencebert in Text Streams, by Cristiano Mesquita Garcia et al.
Improving Sampling Methods for Fine-tuning SentenceBERT in Text Streamsby Cristiano Mesquita Garcia, Alessandro Lameiras Koerich,…
Summary of Improved Long Short-term Memory-based Wastewater Treatment Simulators For Deep Reinforcement Learning, by Esmaeel Mohammadi et al.
Improved Long Short-Term Memory-based Wastewater Treatment Simulators for Deep Reinforcement Learningby Esmaeel Mohammadi, Daniel Ortiz-Arroyo,…
Summary of An Analysis Of Linear Time Series Forecasting Models, by William Toner et al.
An Analysis of Linear Time Series Forecasting Modelsby William Toner, Luke DarlowFirst submitted to arxiv…