Leslie N. Smith

According to our database, Leslie N. Smith authored at least 17 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., February, 2023

General Cyclical Training of Neural Networks.

Leslie N. Smith

Adv. Artif. Intell. Mach. Learn., 2023

2022

Building One-Shot Semi-Supervised (BOSS) Learning Up to Fully Supervised Performance.

Leslie N. Smith, Adam Conovaloff

Frontiers Artif. Intell., 2022

Cyclical Focal Loss.

Leslie N. Smith

CoRR, 2022

2021

An Approach to Partial Observability in Games: Learning to Both Act and Observe.

Elizabeth Gilmour, Noah Plotkin, Leslie N. Smith

Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

2020

Empirical Perspectives on One-Shot Semi-supervised Learning.

Leslie N. Smith, Adam Conovaloff

CoRR, 2020

2019

A Useful Taxonomy for Adversarial Robustness of Neural Networks.

Leslie N. Smith

CoRR, 2019

2018

A disciplined approach to neural network hyper-parameters: Part 1 - learning rate, batch size, momentum, and weight decay.

Leslie N. Smith

CoRR, 2018

2017

Super-Convergence: Very Fast Training of Residual Networks Using Large Learning Rates.

Leslie N. Smith, Nicholay Topin

CoRR, 2017

Exploring loss function topology with cyclical learning rates.

Leslie N. Smith, Nicholay Topin

CoRR, 2017

Best Practices for Applying Deep Learning to Novel Applications.

Leslie N. Smith

CoRR, 2017

Cyclical Learning Rates for Training Neural Networks.

Leslie N. Smith

Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

2016

Deep Convolutional Neural Network Design Patterns.

Leslie N. Smith, Nicholay Topin

CoRR, 2016

Gradual DropIn of Layers to Train Very Deep Neural Networks.

Leslie N. Smith, Emily M. Hand, Timothy Doster

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

No More Pesky Learning Rate Guessing Games.

Leslie N. Smith

CoRR, 2015

2013

Improving Dictionary Learning: Multiple Dictionary Updates and Coefficient Reuse.

Leslie N. Smith, Michael Elad

IEEE Signal Process. Lett., 2013

How to find real-world applications for compressive sensing

Leslie N. Smith

CoRR, 2013