Results for "stochastic network"

Stochastic generation strategies that trade determinism for diversity; key knobs include temperature and nucleus sampling.

Protecting data during network transfer and while stored; essential for ML pipelines handling sensitive data.

Probabilistic energy-based neural network with hidden variables.

Two-network setup where generator fools a discriminator.

A gradient method using random minibatches for efficient training on large datasets.

Optimization under uncertainty.

A parameterized function composed of interconnected units organized in layers with nonlinear activations.

Networks using convolution operations with weight sharing and locality, effective for images and signals.

Networks with recurrent connections for sequences; largely supplanted by Transformers for many tasks.

Early architecture using learned gates for skip connections.

Chooses which experts process each token.

Neural networks that operate on graph-structured data by propagating information along edges.

GNN framework where nodes iteratively exchange and aggregate messages from neighbors.

GNN using attention to weight neighbor contributions dynamically.