Scalable and reliable deep transfer learning for intelligent fault detection via multi-scale neural processes embedded…
Predicting trucking accidents with truck drivers ’safety climate perception across companies: A transfer learning approachby…
Differential Private Federated Transfer Learning for Mental Health Monitoring in Everyday Settings: A Case Study…
Robust agents learn causal world modelsby Jonathan Richens, Tom EverittFirst submitted to arxiv on: 16…
Personalised Drug Identifier for Cancer Treatment with Transformers using Auxiliary Informationby Aishwarya Jayagopal, Hansheng Xue,…
Multi-Hierarchical Surrogate Learning for Structural Dynamical Crash Simulations Using Graph Convolutional Neural Networksby Jonas Kneifl,…
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharingby Yongzhe Jia, Xuyun Zhang,…
Enabling Multi-Agent Transfer Reinforcement Learning via Scenario Independent Representationby Ayesha Siddika Nipu, Siming Liu, Anthony…
Transfer learning with generative models for object detection on limited datasetsby Matteo Paiano, Stefano Martina,…
Transferring facade labels between point clouds with semantic octrees while considering change detectionby Sophia Schwarz,…