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

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

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

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

General Cyclical Training of Neural Networks. - Smith, Leslie N. (CoRR, 2022)

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

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

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

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

Building One-Shot Semi-supervised (BOSS) Learning up to Fully Supervised Performance. - Smith, Leslie N.; Conovaloff, Adam (CoRR, 2020)

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

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

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

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

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

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

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

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

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

Gradual DropIn of Layers to Train Very Deep Neural Networks. - Smith, Leslie N.; Hand, Emily M.; Doster, Timothy (CoRR, 2015)

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

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