#CIFAR-10

'Step-by-step Colab tutorial showing how to train a SimCLR model with Lightly, visualize embeddings, select informative coresets and evaluate transfer performance with a linear probe.'

New research reveals that generalization in flow matching models emerges from the neural network's approximation of velocity fields during early trajectories, challenging the belief that stochasticity drives this process.