Hugo Larochelle
(6 articles)
Bayesian Optimization
Strategy for optimizing complex, expensive-to-evaluate functions by building a probabilistic model of the function and using it to select the most promising points to evaluate.
Generality: 770
Autoencoder
Type of artificial neural network used to learn efficient codings of unlabeled data, typically for the purpose of dimensionality reduction or feature learning.
Generality: 815
Bayesian Neural Network
A neural network that incorporates Bayesian inference to model uncertainty in its predictions and parameters.
Generality: 500
Sparse Autoencoder
Type of neural network designed to learn efficient data representations by enforcing sparsity on the hidden layer activations.
Generality: 625
AutoML
Automated Machine Learning
Automated Machine Learning
Streamlines the process of applying ML by automating the tasks of selecting the appropriate algorithms and tuning their hyperparameters.
Generality: 790
Contrastive Learning
ML technique used primarily in unsupervised learning that improves model performance by teaching the model to distinguish between similar and dissimilar data points.
Generality: 720