Cross-Entropy Optimization for Hyperparameter Optimization in Stochastic Gradient-based Approaches to Train Deep Neural Networksby Kevin…
A Dynamic Weighting Strategy to Mitigate Worker Node Failure in Distributed Deep Learningby Yuesheng Xu,…
ETAGE: Enhanced Test Time Adaptation with Integrated Entropy and Gradient Norms for Robust Model Performanceby…
Symbolic Regression with a Learned Concept Libraryby Arya Grayeli, Atharva Sehgal, Omar Costilla-Reyes, Miles Cranmer,…
Recent Trends in Modelling the Continuous Time Series using Deep Learning: A Surveyby Mansura Habiba,…
Trimming the Risk: Towards Reliable Continuous Training for Deep Learning Inspection Systemsby Altaf Allah Abbassi,…
Hierarchical Hypercomplex Network for Multimodal Emotion Recognitionby Eleonora Lopez, Aurelio Uncini, Danilo ComminielloFirst submitted to…
Optimization and Generalization Guarantees for Weight Normalizationby Pedro Cisneros-Velarde, Zhijie Chen, Sanmi Koyejo, Arindam BanerjeeFirst…
PINNfluence: Influence Functions for Physics-Informed Neural Networksby Jonas R. Naujoks, Aleksander Krasowski, Moritz Weckbecker, Thomas…
Uncertainty Estimation by Density Aware Evidential Deep Learningby Taeseong Yoon, Heeyoung KimFirst submitted to arxiv…