How to contributeΒΆ

Please contribute by opening a pull request at https://github.com/cjratcliff/ml-compiled.

List of sections that need expanding in rough priority order (high at the top):

  • Transformer
  • Deconvolution layer
  • Rademacher complexity
  • VC dimension
  • Evidence lower-bound
  • Normalizing flows
  • Change of variables
  • ZCA
  • Gradient boosting
  • CRFs
  • Codomain
  • Continuous
  • Image
  • SVMs - dual form, primal form and training
  • Matrix differentiation
  • Weibull distribution
  • Vanishing/exploding gradient problem
  • Feature scaling
  • Object tracking
  • Positve-unlabeled learning
  • Logit
  • Question answering
  • Translation
  • Manifold hypothesis
  • Variational Bayes
  • Parametric and non-parametric models
  • Discriminative model
  • Energy-based model
  • Expectation-maximisation (EM)
  • Inductive bias
  • Metric learning
  • Overcomplete representation
  • Bayesian neural network
  • Sparsity
  • Advantage function
  • Counterfactual regret minimization
  • Direct policy search
  • Information set
  • Regret matching
  • Reward clipping
  • Reward sparsity
  • Value iteration
  • Mean field approach
  • Partition function

List of sections to be added:

  • Imitation learning
  • Catastrophic forgetting
  • Trust region policy optimization
  • Softmax bottleneck
  • Whitening
  • Self-attention
  • Lipschitz smoothness
  • Lipschitz constant
  • Canonical Correlation Analysis (CCA)
  • Compositionality
  • Bayesian neural networks
  • Deep Belief Networks/Machines
  • Restricted Boltzmann Machines
  • Regression - p-values