Understanding and Improving Fast Adversarial Training

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Understanding and Improving Fast Adversarial Training

Chat with Graph Search

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Diffusion Stochastic Optimization for Min-Max Problems

GLoFool: Global Enhancements and Local Perturbations to Craft Adversarial Images

Retrieval of Surface Solar Radiation through Implicit Albedo Recovery from Temporal Context

Machine learning-enabled estimation of cardiac output from peripheral waveforms is independent of blood pressure measurement location in an in silico population

Edge-Cloud Collaborated Object Detection via Bandwidth Adaptive Difficult-Case Discriminator

Machine Learning in Decision-Making Systems: Fairness, Robustness, and Data Bias

Enhancing skin lesion classification: a CNN approach with human baseline comparison

A Study on Quantum Graph Neural Networks Applied to Molecular Physics

Rosette Spectroscopic Imaging for Whole-Brain Slab Metabolite Mapping at 7T: Acceleration Potential and Reproducibility

Integer Linear Programming for Unsupervised Training Set Selection in Molecular Machine Learning

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Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning

Error assessment of an adaptive finite elements-neural networks method for an elliptic parametric PDE

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

Statistical Inference for Inverse Problems: From Sparsity-Based Methods to Neural Networks

Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks

Understanding generalization and robustness in modern deep learning

Aggregating Spatial and Photometric Context for Photometric Stereo