Generalization

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Adversarial Discriminative Domain Adaptation

mixup: Beyond Empirical Risk Minimization

Wide & Deep Learning for Recommender Systems

A Semi-Explicit Algorithm for Parameters Estimation in a Time-Fractional Dual-Phase-Lag Heat Conduction Model

Feature Engineering Enhanced Machine Learning Prediction of Pore Properties in Lignin-Derived Nanoporous Carbon for High-Performance Supercapacitor Applications

CeNEP: A general-purpose machine learning interatomic potential for cementitious materials

Global well-posedness of the three-dimensional bipolar non-isentropic Euler–Poisson equations with heat conduction in bounded domains

Multi-objective prediction of Eu3+ doped double perovskite oxide phosphors with explainability and photoluminescence properties of novel Sr2ScNbO6:Eu3+ phosphors

MODELING PERIODICALLY FORCED HEAT WAVES IN INHOMOGENEOUS MEDIA VIA THE GENERALIZED FOURIER PRINCIPLE