Leslie N. Smith

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 18

Top Topics

Partial Observability

Supervised Learning

Top Venues

Frontiers Artif. Intell.

Publications

Leslie N. Smith
General Cyclical Training of Neural Networks. Adv. Artif. Intell. Mach. Learn. 3 (1) (2023)
Marko Orescanin, Leslie N. Smith, Saurabh Sahu, Palash Goyal, Sujit Rokka Chhetri
Editorial: Deep learning with limited labeled data for vision, audio, and text. Frontiers Artif. Intell. 6 (2023)
Leslie N. Smith
Cyclical Focal Loss. CoRR (2022)
Leslie N. Smith
General Cyclical Training of Neural Networks. CoRR (2022)
Leslie N. Smith, Adam Conovaloff
Building One-Shot Semi-Supervised (BOSS) Learning Up to Fully Supervised Performance. Frontiers Artif. Intell. 5 (2022)
Elizabeth Gilmour, Noah Plotkin, Leslie N. Smith
An Approach to Partial Observability in Games: Learning to Both Act and Observe. CoRR (2021)
Elizabeth Gilmour, Noah Plotkin, Leslie N. Smith
An Approach to Partial Observability in Games: Learning to Both Act and Observe. CoG (2021)
Helena E. Liu, Leslie N. Smith
FROST: Faster and more Robust One-shot Semi-supervised Training. CoRR (2020)
Leslie N. Smith, Adam Conovaloff
Building One-Shot Semi-supervised (BOSS) Learning up to Fully Supervised Performance. CoRR (2020)
Leslie N. Smith, Adam Conovaloff
Empirical Perspectives on One-Shot Semi-supervised Learning. CoRR (2020)
Leslie N. Smith
A Useful Taxonomy for Adversarial Robustness of Neural Networks. CoRR (2019)
Leslie N. Smith
A disciplined approach to neural network hyper-parameters: Part 1 - learning rate, batch size, momentum, and weight decay. CoRR (2018)
Leslie N. Smith, Nicholay Topin
Exploring loss function topology with cyclical learning rates. CoRR (2017)
Leslie N. Smith
Cyclical Learning Rates for Training Neural Networks. WACV (2017)
Leslie N. Smith
Best Practices for Applying Deep Learning to Novel Applications. CoRR (2017)
Leslie N. Smith, Nicholay Topin
Super-Convergence: Very Fast Training of Residual Networks Using Large Learning Rates. CoRR (2017)
Leslie N. Smith, Nicholay Topin
Deep Convolutional Neural Network Design Patterns. CoRR (2016)
Leslie N. Smith, Emily M. Hand, Timothy Doster
Gradual DropIn of Layers to Train Very Deep Neural Networks. CVPR (2016)
Leslie N. Smith
No More Pesky Learning Rate Guessing Games. CoRR (2015)
Leslie N. Smith, Emily M. Hand, Timothy Doster
Gradual DropIn of Layers to Train Very Deep Neural Networks. CoRR (2015)
Leslie N. Smith
How to find real-world applications for compressive sensing CoRR (2013)
Leslie N. Smith, Michael Elad
Improving Dictionary Learning: Multiple Dictionary Updates and Coefficient Reuse. IEEE Signal Process. Lett. 20 (1) (2013)