Christopher Beckham

Communication-efficient and distributed learning over wireless networks:principles and applications

MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space

Understanding and Enhancing Mixed Sample Data Augmentation.

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

Text Data Augmentation for Deep Learning

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

An Optimal Feature Parameter Set Based on Gated Recurrent Unit Recurrent Neural Networks for Speech Segment Detection

Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications

Enforcing statistical constraints in generative adversarial networks for modeling chaotic dynamical systems

Physics-informed machine learning

UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation

Augment Your Batch: Improving Generalization Through Instance Repetition

ClimateNet: A Machine Learning dataset for Climate Science Research

Manifold Mixup: Encouraging Meaningful On-Manifold Interpolation as a Regularizer.

WekaDeeplearning4j: A deep learning package for Weka based on Deeplearning4j

Manifold Mixup: Better Representations by Interpolating Hidden States