Results for "weight reuse"
Convolutional Neural Network
Intermediate
Networks using convolution operations with weight sharing and locality, effective for images and signals.
Few-Shot Learning
Intermediate
Achieving task performance by providing a small number of examples inside the prompt without weight updates.
Graph Attention Network
Intermediate
GNN using attention to weight neighbor contributions dynamically.
Weight Initialization
Intermediate
Methods to set starting weights to preserve signal/gradient scales across layers.
Open-Weight Model
Intermediate
Models whose weights are publicly available.