Search Results for author: Lucas Hayne

Found 2 papers, 1 papers with code

Much Easier Said Than Done: Falsifying the Causal Relevance of Linear Decoding Methods

no code implementations8 Nov 2022 Lucas Hayne, Abhijit Suresh, Hunar Jain, Rahul Kumar, R. McKell Carter

More specifically, we find that an interaction between selectivity and the average activity of the unit better predicts ablation performance deficits for groups of units in AlexNet, VGG16, MobileNetV2, and ResNet101.

The BUTTER Zone: An Empirical Study of Training Dynamics in Fully Connected Neural Networks

1 code implementation25 Jul 2022 Charles Edison Tripp, Jordan Perr-Sauer, Lucas Hayne, Monte Lunacek, Jamil Gafur

We present an empirical dataset surveying the deep learning phenomenon on fully-connected feed-forward multilayer perceptron neural networks.

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