Denoising Diffusion Probabilistic Models
Generated images by learning to turn random noise into a picture, step by step.
2020
50,106
Works
Selected research papers and books, linked to their authors.
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
A book explaining kernel methods for learning complex patterns by comparing examples.
2002
27,440
A fast learning algorithm for deep belief nets
Made deep networks easier to train by teaching them one layer at a time.
2006
24,763
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
MAML trains models to adapt to new tasks with only a few examples.
2017
21,385
Layer Normalization
Layer normalization stabilizes training by rescaling signals within each example.
2016
20,827
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
Expanded network capacity by routing each input to a small set of specialist subnetworks.
2017
8,025