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Mark D. McDonnell

Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning

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Mar 12, 2024
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RanPAC: Random Projections and Pre-trained Models for Continual Learning

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Jul 05, 2023
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Single-bit-per-weight deep convolutional neural networks without batch-normalization layers for embedded systems

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Jul 22, 2019
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Diagnosing Convolutional Neural Networks using their Spectral Response

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Oct 08, 2018
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Training wide residual networks for deployment using a single bit for each weight

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Feb 23, 2018
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Track Everything: Limiting Prior Knowledge in Online Multi-Object Recognition

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Apr 21, 2017
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Understanding data augmentation for classification: when to warp?

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Nov 26, 2016
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Enhanced Image Classification With a Fast-Learning Shallow Convolutional Neural Network

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Aug 15, 2015
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Fast, simple and accurate handwritten digit classification by training shallow neural network classifiers with the 'extreme learning machine' algorithm

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Jul 22, 2015
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