NC-TTT: A Noise Contrastive Approach for Test-Time Trainingby David Osowiechi, Gustavo A. Vargas Hakim, Mehrdad…
Graph data augmentation with Gromow-Wasserstein Barycentersby Andrea PontiFirst submitted to arxiv on: 12 Apr 2024CategoriesMain:…
Anti-Byzantine Attacks Enabled Vehicle Selection for Asynchronous Federated Learning in Vehicular Edge Computingby Cui Zhang,…
Physics-Enhanced Graph Neural Networks For Soft Sensing in Industrial Internet of Thingsby Keivan Faghih Niresi,…
DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Modelsby Nastaran Saadati, Minh Pham, Nasla Saleem, Joshua…
Continual Learning of Range-Dependent Transmission Loss for Underwater Acoustic using Conditional Convolutional Neural Netby Indu…
Deep learning-based auto-segmentation of paraganglioma for growth monitoringby E.M.C. Sijben, J.C. Jansen, M. de Ridder,…
A Multi-Level Framework for Accelerating Training Transformer Modelsby Longwei Zou, Han Zhang, Yangdong DengFirst submitted…
GRANP: A Graph Recurrent Attentive Neural Process Model for Vehicle Trajectory Predictionby Yuhao Luo, Kehua…
An inclusive review on deep learning techniques and their scope in handwriting recognitionby Sukhdeep Singh,…