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cs.LG2025
Making Sense Of Distributed Representations With Activation Spectroscopy
Kyle Reing, Greg Ver Steeg, Aram Galstyan
In the study of neural network interpretability, there is growing evidence to suggest that relevant features are encoded across many neurons in a distributed fashion. Making sense…
cs.LG2020
Improving Generalization by Controlling Label-Noise Information in Neural Network Weights
Hrayr Harutyunyan, Kyle Reing, Greg Ver Steeg +1
In the presence of noisy or incorrect labels, neural networks have the undesirable tendency to memorize information about the noise. Standard regularization techniques such as drop…