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2020 – today
- 2024
[i15]James Amarel, Christopher Rudolf, Athanasios Iliopoulos, John G. Michopoulos, Leslie N. Smith:
Symmetry constrained neural networks for detection and localization of damage in metal plates. CoRR abs/2409.06084 (2024)- 2023
- [j4]Leslie N. Smith:
General Cyclical Training of Neural Networks. Adv. Artif. Intell. Mach. Learn. 3(1): 958-976 (2023) - [j3]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) - 2022
- [j2]Leslie N. Smith, Adam Conovaloff:
Building One-Shot Semi-Supervised (BOSS) Learning Up to Fully Supervised Performance. Frontiers Artif. Intell. 5: 880729 (2022) - [i14]Leslie N. Smith:
General Cyclical Training of Neural Networks. CoRR abs/2202.08835 (2022) - [i13]Leslie N. Smith:
Cyclical Focal Loss. CoRR abs/2202.08978 (2022) - 2021
- [c3]Elizabeth Gilmour, Noah Plotkin, Leslie N. Smith:
An Approach to Partial Observability in Games: Learning to Both Act and Observe. CoG 2021: 1-5 - [i12]Elizabeth Gilmour, Noah Plotkin, Leslie N. Smith:
An Approach to Partial Observability in Games: Learning to Both Act and Observe. CoRR abs/2108.05701 (2021) - 2020
- [i11]Leslie N. Smith, Adam Conovaloff:
Empirical Perspectives on One-Shot Semi-supervised Learning. CoRR abs/2004.04141 (2020) - [i10]Leslie N. Smith, Adam Conovaloff:
Building One-Shot Semi-supervised (BOSS) Learning up to Fully Supervised Performance. CoRR abs/2006.09363 (2020)
2010 – 2019
- 2019
- [i9]Leslie N. Smith:
A Useful Taxonomy for Adversarial Robustness of Neural Networks. CoRR abs/1910.10679 (2019) - 2018
- [i8]Leslie N. Smith:
A disciplined approach to neural network hyper-parameters: Part 1 - learning rate, batch size, momentum, and weight decay. CoRR abs/1803.09820 (2018) - 2017
- [c2]Leslie N. Smith:
Cyclical Learning Rates for Training Neural Networks. WACV 2017: 464-472 - [i7]Leslie N. Smith, Nicholay Topin:
Exploring loss function topology with cyclical learning rates. CoRR abs/1702.04283 (2017) - [i6]Leslie N. Smith:
Best Practices for Applying Deep Learning to Novel Applications. CoRR abs/1704.01568 (2017) - [i5]Leslie N. Smith, Nicholay Topin:
Super-Convergence: Very Fast Training of Residual Networks Using Large Learning Rates. CoRR abs/1708.07120 (2017) - 2016
- [c1]Leslie N. Smith, Emily M. Hand, Timothy Doster:
Gradual DropIn of Layers to Train Very Deep Neural Networks. CVPR 2016: 4763-4771 - [i4]Leslie N. Smith, Nicholay Topin:
Deep Convolutional Neural Network Design Patterns. CoRR abs/1611.00847 (2016) - 2015
- [i3]Leslie N. Smith:
No More Pesky Learning Rate Guessing Games. CoRR abs/1506.01186 (2015) - [i2]Leslie N. Smith, Emily M. Hand, Timothy Doster:
Gradual DropIn of Layers to Train Very Deep Neural Networks. CoRR abs/1511.06951 (2015) - 2013
- [j1]Leslie N. Smith, Michael Elad:
Improving Dictionary Learning: Multiple Dictionary Updates and Coefficient Reuse. IEEE Signal Process. Lett. 20(1): 79-82 (2013) - [i1]Leslie N. Smith:
How to find real-world applications for compressive sensing. CoRR abs/1305.1199 (2013)
Coauthor Index
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last updated on 2024-10-15 00:21 CEST by the dblp team
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