5 citations · 6 across the 5 of their papers we have counts for
3 papers · 1 filter
Principled Weight Initialization for Hypernetworks
Oscar Chang, Lampros Flokas, Hod Lipson
Hypernetworks are meta neural networks that generate weights for a main neural network in an end-to-end differentiable manner. Despite extensive applications ranging from multi-tas…
Beyond Categorical Label Representations for Image Classification
Boyuan Chen, Yu Li, Sunand Raghupathi +1
We find that the way we choose to represent data labels can have a profound effect on the quality of trained models. For example, training an image classifier to regress audio labe…
Ensemble Model Patching: A Parameter-Efficient Variational Bayesian Neural Network
Oscar Chang, Yuling Yao, David Williams-King +1
Two main obstacles preventing the widespread adoption of variational Bayesian neural networks are the high parameter overhead that makes them infeasible on large networks, and the…