How to find real-world applications for compressive sensing - Leslie N. Smith (CoRR, 2013)

Improving Dictionary Learning: Multiple Dictionary Updates and Coefficient Reuse. - Leslie N. Smith; Michael Elad (IEEE Signal Process. Lett., 2013)

No More Pesky Learning Rate Guessing Games. - Leslie N. Smith (CoRR, 2015)

Gradual DropIn of Layers to Train Very Deep Neural Networks. - Leslie N. Smith; Emily M. Hand; Timothy Doster (CVPR, 2016)

Deep Convolutional Neural Network Design Patterns. - Leslie N. Smith; Nicholay Topin (CoRR, 2016)

Cyclical Learning Rates for Training Neural Networks. - Leslie N. Smith (WACV, 2017)

Best Practices for Applying Deep Learning to Novel Applications. - Leslie N. Smith (CoRR, 2017)

Exploring loss function topology with cyclical learning rates. - Leslie N. Smith; Nicholay Topin (CoRR, 2017)

Super-Convergence: Very Fast Training of Residual Networks Using Large Learning Rates. - Leslie N. Smith; Nicholay Topin (CoRR, 2017)

A disciplined approach to neural network hyper-parameters: Part 1 - learning rate, batch size, momentum, and weight decay. - Leslie N. Smith (CoRR, 2018)

A Useful Taxonomy for Adversarial Robustness of Neural Networks. - Leslie N. Smith (CoRR, 2019)

Empirical Perspectives on One-Shot Semi-supervised Learning. - Leslie N. Smith; Adam Conovaloff (CoRR, 2020)

An Approach to Partial Observability in Games: Learning to Both Act and Observe. - Elizabeth Gilmour; Noah Plotkin; Leslie N. Smith (CoG, 2021)

Cyclical Focal Loss. - Leslie N. Smith (CoRR, 2022)

Building One-Shot Semi-Supervised (BOSS) Learning Up to Fully Supervised Performance. - Leslie N. Smith; Adam Conovaloff (Frontiers Artif. Intell., 2022)

General Cyclical Training of Neural Networks. - Leslie N. Smith (Adv. Artif. Intell. Mach. Learn., 2023)

Editorial: Deep learning with limited labeled data for vision, audio, and text. - Marko Orescanin; Leslie N. Smith; Saurabh Sahu; Palash Goyal; Sujit Rokka Chhetri (Frontiers Artif. Intell., 2023)

Symmetry constrained neural networks for detection and localization of damage in metal plates. - James Amarel; Christopher Rudolf; Athanasios Iliopoulos; John G. Michopoulos; Leslie N. Smith (CoRR, 2024)

A Deep Learning Framework for Two-Dimensional, Multi-Frequency Propagation Factor Estimation. - Sarah E. Wessinger; Leslie N. Smith; Jacob Gull; Jonathan Gehman; Zachary Beever; Andrew J. Kammerer (CoRR, 2025)