Unleashing the Power of Multi-Task Learning: A Comprehensive Survey Spanning Traditional, Deep, and Pretrained Foundation…
Generation of Uncorrelated Residual Variables for Chemical Process Fault Diagnosis via Transfer Learning-based Input-Output Decoupled…
Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantificationby Ruben Grewal, Paolo Tonella, Andrea…
Feature importance to explain multimodal prediction models. A clinical use caseby Jorn-Jan van de Beld,…
Personalized Federated Learning via Sequential Layer Expansion in Representation Learningby Jaewon Jang, Bonjun ChoiFirst submitted…
An exactly solvable model for emergence and scaling laws in the multitask sparse parity problemby…
Learning Manipulation Tasks in Dynamic and Shared 3D Spacesby Hariharan Arunachalam, Marc Hanheide, Sariah MghamesFirst…
Any-Quantile Probabilistic Forecasting of Short-Term Electricity Demandby Slawek Smyl, Boris N. Oreshkin, Paweł Pełka, Grzegorz…
Deep Evidential Learning for Radiotherapy Dose Predictionby Hai Siong Tan, Kuancheng Wang, Rafe McbethFirst submitted…
Comparison of self-supervised in-domain and supervised out-domain transfer learning for bird species recognitionby Houtan Ghaffari,…