5 citations · 6 across the 5 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2026
Closed Gates Leak: Decomposing Adjacent-Layer Cancellation in Gated Language Models
Harvey Dam, Ganesh Gopalakrishnan
In transformer language models with gated multilayer perceptrons (MLPs), adjacent layers write partly against each other into the residual stream. Previous work interpreted this ca…
cs.LG2025
Local-Order Auxiliary Losses Can Improve Autoencoder Reconstruction
Harvey Dam, Martin Burtscher, Tripti Agarwal +1
Mean-squared error is the default objective for training autoencoders, yet compressed reconstructions often depend not only on pointwise accuracy but also on preserving local spati…
cs.LG2023
Understanding the Effect of the Long Tail on Neural Network Compression
Harvey Dam, Vinu Joseph, Aditya Bhaskara +3
Network compression is now a mature sub-field of neural network research: over the last decade, significant progress has been made towards reducing the size of models and speeding…