{
  "originalData": {
    "name": "Node Chart 3D",
    "height": 700,
    "data": {
      "label": "Machine Learning",
      "nodes": [
        {
          "label": "Reinforcement Learning",
          "nodes": [
            {
              "label": "Classical RL",
              "nodes": [
                { "label": "Q-Learning", "year": "1992" },
                {
                  "label": "SARSA (State-Action-Reward-State-Action)",
                  "year": "1994"
                },
                { "label": "Policy Gradient Methods", "year": "1999" }
              ]
            },
            {
              "label": "Deep RL",
              "nodes": [
                {
                  "label": "Trust Region Policy Optimization (TRPO)",
                  "year": "2015"
                },
                { "label": "Deep Q-Network (DQN)", "year": "2015" },
                { "label": "Double DQN", "year": "2016" },
                { "label": "Dueling DQN", "year": "2016" },
                { "label": "Advantage Actor-Critic (A2C)", "year": "2016" },
                {
                  "label": "Asynchronous Advantage Actor-Critic (A3C)",
                  "year": "2016"
                },
                { "label": "Soft Actor-Critic (SAC)", "year": "2018" }
              ]
            }
          ]
        },
        {
          "label": "Supervised/Unsupervised Learning",
          "nodes": [
            {
              "label": "Neural Network Based dawfawfawf",
              "nodes": [
                {
                  "label": "Siamese Neural Networks",
                  "nodes": [
                    { "label": "Basic Siamese network", "year": "2005" },
                    { "label": "Triple network", "year": "2015" },
                    { "label": "Quadruple network", "year": "2017" },
                    {
                      "label": "RNN-based Siamese network",
                      "year": "2017"
                    },
                    {
                      "label": "Multi-view Siamese network",
                      "year": "2018"
                    },
                    { "label": "Pseudo Siamese network", "year": "2018" },
                    {
                      "label": "GNN-based Siamese network",
                      "year": "2019"
                    },
                    { "label": "Siamese GAN", "year": "2019" },
                    {
                      "label": "Manifold-based Siamese network",
                      "year": "2019"
                    },
                    {
                      "label": "Cross-modal Siamese network",
                      "year": "2019"
                    },
                    { "label": "DenseDisp", "year": "2020" }
                  ]
                },
                {
                  "label": "Graph neural networks",
                  "nodes": [
                    {
                      "label": "Recurrent Graph Neural Networks",
                      "nodes": [
                        { "label": "Graph Neural Network", "year": "2005" },
                        {
                          "label": "Graph Echo State Networks (GraphESN)",
                          "year": "2010"
                        },
                        {
                          "label": "Graph Attention Network",
                          "year": "2017"
                        }
                      ]
                    },
                    {
                      "label": "Convolutional Graph Neural Networks",
                      "nodes": [
                        {
                          "label": "Spectral-based Convolutional Graph Neural Network",
                          "year": "2014"
                        },
                        {
                          "label": "Diffusion-convolutional Graph Neural Network",
                          "year": "2016"
                        }
                      ]
                    },
                    {
                      "label": "Graph Autoencoders",
                      "nodes": [
                        {
                          "label": "Network Embeddings",
                          "nodes": [
                            {
                              "label": "Graph Autoencoder",
                              "year": "2016"
                            },
                            {
                              "label": "Variational Graph Auto-Encoders",
                              "year": "2016"
                            },
                            {
                              "label": "Adversarially Regularized Graph Autoencoder",
                              "year": "2018"
                            }
                          ]
                        },
                        {
                          "label": "Graph Generation",
                          "nodes": [
                            { "label": "GraphRNN", "year": "2018" },
                            { "label": "GraphVAE", "year": "2018" },
                            { "label": "NetGAN", "year": "2018" }
                          ]
                        }
                      ]
                    },
                    {
                      "label": "Spatial-temporal Graph Neural Networks",
                      "nodes": [
                        { "label": "Structural-RNN", "year": "2016" },
                        { "label": "Graph WaveNet", "year": "2018" },
                        {
                          "label": "Spatio-Temporal Graph Convolutional Networks",
                          "year": "2018"
                        },
                        {
                          "label": "Attention Based Spatial-Temporal Graph Convolutional Networks",
                          "year": "2019"
                        }
                      ]
                    }
                  ]
                },
                {
                  "label": "Language Models (LM)",
                  "nodes": [
                    {
                      "label": "Statistical Language Models",
                      "nodes": [
                        {
                          "label": "Statistical Language model",
                          "year": "1998"
                        }
                      ]
                    },
                    {
                      "label": "Neural Language Models",
                      "nodes": [
                        {
                          "label": "Neural language model",
                          "year": "2003"
                        }
                      ]
                    },
                    {
                      "label": "Pre-trained Language Models",
                      "nodes": [
                        {
                          "label": "Embeddings from Language Models (ELMo)",
                          "year": "2018"
                        },
                        {
                          "label": "RoBERTa (Robustly Optimized BERT Pretraining Approach)",
                          "year": "2019"
                        },
                        {
                          "label": "Bidirectional Encoder Representations from Transformers (BERT)",
                          "year": "2018"
                        },
                        {
                          "label": "GPT (Generative Pre-trained Transformer)",
                          "year": "2018"
                        },
                        { "label": "GPT-2", "year": "2019" },
                        { "label": "BART", "year": "2019" }
                      ]
                    },
                    {
                      "label": "Large Language Models",
                      "nodes": [
                        {
                          "label": "T5 (Text-to-Text Transfer Transformer)",
                          "year": "2019"
                        },
                        { "label": "GPT-3", "year": "2020" },
                        { "label": "LaMDA", "year": "2022" },
                        { "label": "PaLM", "year": "2022" },
                        { "label": "Galactica", "year": "2022" },
                        { "label": "GPT-4", "year": "2023" },
                        { "label": "LLaMA", "year": "2023" }
                      ]
                    }
                  ]
                },
                {
                  "label": "Autoencoders",
                  "nodes": [
                    { "label": "Vanilla Autoencoder", "year": "1987" },
                    { "label": "Denoising Autoencoder", "year": "2008" },
                    {
                      "label": "Convolutional Autoencoder",
                      "year": "2011"
                    },
                    { "label": "Contractive Autoencoder", "year": "2011" },
                    { "label": "Variational Autoencoder", "year": "2013" },
                    { "label": "Adversarial Autoencoder", "year": "2015" }
                  ]
                },
                {
                  "label": "Diffusion models",
                  "nodes": [
                    {
                      "label": "Diffusion Probabilistic Model",
                      "year": "2015"
                    },
                    {
                      "label": "Noise-conditioned Score Network",
                      "year": "2019"
                    },
                    {
                      "label": "Denoising diffusion probabilistic model",
                      "year": "2020"
                    },
                    { "label": "Latent Diffusion Model", "year": "2022" }
                  ]
                },
                {
                  "label": "Generative adversarial networks",
                  "nodes": [
                    { "label": "Vanilla GAN", "year": "2014" },
                    { "label": "Conditional GAN", "year": "2014" },
                    { "label": "Wasserstein GAN (WGAN)", "year": "2017" },
                    { "label": "CycleGAN", "year": "2017" },
                    { "label": "Progressive GAN", "year": "2017" },
                    { "label": "StarGAN", "year": "2017" }
                  ]
                },
                {
                  "label": "Transformers",
                  "nodes": [
                    { "label": "Vanilla Transformer", "year": "2017" },
                    {
                      "label": "BERT (Bidirectional Encoder Representations from Transformers)",
                      "year": "2018"
                    },
                    { "label": "XLNet", "year": "2019" }
                  ]
                },
                {
                  "label": "Recurrent neural networks",
                  "nodes": [
                    { "label": "Jordan Network", "year": "1986" },
                    { "label": "Elman Network", "year": "1990" },
                    {
                      "label": "Long Short-Term Memory (LSTM)",
                      "year": "1997"
                    },
                    { "label": "Bidirectional RNN (BRNN)", "year": "1997" },
                    { "label": "Echo State Network (ESN)", "year": "2002" },
                    {
                      "label": "Gated Recurrent Unit (GRU)",
                      "year": "2014"
                    },
                    { "label": "RNNsearch", "year": "2014" },
                    { "label": "Hierarchical RNN (HRNN)", "year": "2015" },
                    {
                      "label": "Recurrent Convolutional Neural Network (RCNN)",
                      "year": "2015"
                    },
                    { "label": "UGRNN", "year": "2015" },
                    { "label": "QRNN", "year": "2016" },
                    { "label": "GNMT", "year": "2016" },
                    { "label": "AWD-LSTM", "year": "2018" },
                    { "label": "SRU", "year": "2018" }
                  ]
                },
                {
                  "label": "Convolutional Neural Networks (ConvNets, CNNs)",
                  "nodes": [
                    {
                      "label": "Video Processing",
                      "nodes": [
                        { "label": "3D CNN", "year": "2012" },
                        { "label": "Two-Steam CNN", "year": "2014" },
                        {
                          "label": "Two-Steam CNN with Fusion",
                          "year": "2016"
                        },
                        { "label": "Temporal Segment CNN", "year": "2016" },
                        {
                          "label": "You Look Only Once (YOLO)",
                          "year": "2016"
                        },
                        { "label": "R(2+1)D", "year": "2018" }
                      ]
                    },
                    {
                      "label": "Image Processing Networks",
                      "nodes": [
                        { "label": "LeNet", "year": "1998" },
                        { "label": "AlexNet", "year": "2012" },
                        { "label": "VGG", "year": "2014" },
                        {
                          "label": "GoogLeNet (Inception)",
                          "year": "2014"
                        },
                        { "label": "ResNet", "year": "2015" },
                        { "label": "DenseNet", "year": "2016" },
                        { "label": "MobileNet", "year": "2017" },
                        { "label": "ImageNet", "year": "2017" },
                        { "label": "EfficientNet", "year": "2019" },
                        { "label": "EfficientNetV2", "year": "2020" },
                        {
                          "label": "Vision Transformer (ViT)",
                          "year": "2020"
                        },
                        { "label": "ResNeSt", "year": "2020" },
                        { "label": "Swin Transformer", "year": "2021" },
                        { "label": "CrossViT", "year": "2021" }
                      ]
                    }
                  ]
                },
                {
                  "label": "Feedforward neural networks",
                  "nodes": [
                    { "label": "Single-layer perceptron", "year": "1958" },
                    { "label": "Multi-layer perceptron", "year": "1965" }
                  ]
                }
              ]
            },
            {
              "label": "Classical ML",
              "nodes": [
                {
                  "label": "Instance-based ML",
                  "nodes": [
                    {
                      "label": "k-Nearest Neighbors (kNN)",
                      "year": "1951"
                    },
                    {
                      "label": "Memory-Based Reasoning (MBR)",
                      "year": "1991"
                    },
                    { "label": "Case-Based Reasoning", "year": "1993" }
                  ]
                },
                {
                  "label": "Non-instance-based ML",
                  "nodes": [
                    {
                      "label": "Bayesian Algorithms",
                      "nodes": [
                        {
                          "label": "Regression",
                          "nodes": [
                            {
                              "label": "Bayesian Linear Regression",
                              "year": "1992"
                            },
                            {
                              "label": "Gaussian process regression",
                              "year": "2006"
                            },
                            { "label": "Bayesian CART", "year": "1998" }
                          ]
                        },
                        {
                          "label": "Clusterization",
                          "nodes": [
                            {
                              "label": "Gaussian Mixture Model",
                              "year": "1977"
                            }
                          ]
                        }
                      ]
                    },
                    {
                      "label": "Non-Bayesian Algorithms",
                      "nodes": [
                        {
                          "label": "Clusterization",
                          "nodes": [
                            { "label": "K-means", "year": "1967" },
                            {
                              "label": "Hierarchical clustering",
                              "year": "1963"
                            },
                            { "label": "DBSCAN", "year": "1996" },
                            {
                              "label": "Spectral clustering",
                              "year": "2001"
                            }
                          ]
                        },
                        {
                          "label": "Regression",
                          "nodes": [
                            {
                              "label": "Ensembles",
                              "nodes": [
                                {
                                  "label": "Boosting",
                                  "nodes": [
                                    { "label": "CatBoost", "year": "2018" },
                                    { "label": "LightGBM", "year": "2017" },
                                    { "label": "XGBoost", "year": "2016" },
                                    {
                                      "label": "Gradient Tree Boosting",
                                      "year": "2001"
                                    },
                                    { "label": "AdaBoost", "year": "1995" }
                                  ]
                                },
                                { "label": "Stacking", "year": "1992" },
                                {
                                  "label": "Bagging",
                                  "nodes": [
                                    {
                                      "label": "Rotation Forest",
                                      "year": "2006"
                                    },
                                    {
                                      "label": "Random Forest",
                                      "year": "2001"
                                    }
                                  ]
                                }
                              ]
                            },
                            {
                              "label": "Support Vector Machine (SVM)",
                              "year": "1995"
                            },
                            {
                              "label": "Decision Trees",
                              "nodes": [
                                {
                                  "label": "Classification and Regression Trees (CART)",
                                  "year": "1984"
                                },
                                { "label": "ID3", "year": "1986" },
                                { "label": "C4.5", "year": "1993" }
                              ]
                            },
                            {
                              "label": "Linear  Regressors",
                              "nodes": [
                                {
                                  "label": "Linear Regression",
                                  "year": "1869"
                                },
                                {
                                  "label": "Logistic Regression",
                                  "year": "1958"
                                },
                                {
                                  "label": "Ridge Regression",
                                  "year": "1970"
                                },
                                {
                                  "label": "Lasso Regression",
                                  "year": "1996"
                                },
                                { "label": "Elastic Net", "year": "2005" },
                                {
                                  "label": "Partial least-squares regression",
                                  "year": "1986"
                                },
                                {
                                  "label": "Principal Components Regression",
                                  "year": "1982"
                                }
                              ]
                            }
                          ]
                        }
                      ]
                    }
                  ]
                }
              ]
            }
          ]
        }
      ]
    }
  }
}