2021清华大学《高级机器学习》课件和报告_高级机器学习和专家报告

[{"title":"（ 27 个子文件 265.34MB ） 2021清华大学《高级机器学习》课件和报告_高级机器学习和专家报告","children":[{"title":"2021清华大学《高级机器学习》课件和报告_高级机器学习和专家报告","children":[{"title":"A8.2-Representation_Learning.pdf <span style='color:#111;'> 9.79MB </span>","children":null,"spread":false},{"title":"A8.1-Autoencoders.pdf <span style='color:#111;'> 8.70MB </span>","children":null,"spread":false},{"title":"A2.1-SVM-update-2.pdf <span style='color:#111;'> 9.99MB </span>","children":null,"spread":false},{"title":"A3.1-Unsupervised Learning-update.pdf <span style='color:#111;'> 2.63MB </span>","children":null,"spread":false},{"title":"A5.1-Graphical Model.pdf <span style='color:#111;'> 15.34MB </span>","children":null,"spread":false},{"title":"20200513-唐建-LogicalReasoningGNN-Tsinghua-2020.5.13.pdf <span style='color:#111;'> 16.87MB </span>","children":null,"spread":false},{"title":"A1.1-outline-1.pdf <span style='color:#111;'> 5.76MB </span>","children":null,"spread":false},{"title":"A5.2-Approximate Inference.pdf <span style='color:#111;'> 2.04MB </span>","children":null,"spread":false},{"title":"A7.1-CNN_new.pdf <span style='color:#111;'> 16.08MB </span>","children":null,"spread":false},{"title":"A11.2-GAN.pdf <span style='color:#111;'> 17.50MB </span>","children":null,"spread":false},{"title":"A12-Online_Learning_short_2020.pdf <span style='color:#111;'> 5.65MB </span>","children":null,"spread":false},{"title":"A10-AutoML_new.pdf <span style='color:#111;'> 15.95MB </span>","children":null,"spread":false},{"title":"A4.1-Matrix Factorization-update-1.pdf <span style='color:#111;'> 15.56MB </span>","children":null,"spread":false},{"title":"A6-Ensemble.pdf <span style='color:#111;'> 8.47MB </span>","children":null,"spread":false},{"title":"20200429-李沐-automl.pdf <span style='color:#111;'> 5.93MB </span>","children":null,"spread":false},{"title":"A9-Representation Learning for Networks.pdf <span style='color:#111;'> 18.21MB </span>","children":null,"spread":false},{"title":"A14-BERTology.pdf <span style='color:#111;'> 4.35MB </span>","children":null,"spread":false},{"title":"A3.2-Topic Model-update.pdf <span style='color:#111;'> 5.74MB </span>","children":null,"spread":false},{"title":"A11.1-adversarialLearning.pdf <span style='color:#111;'> 4.39MB </span>","children":null,"spread":false},{"title":"A4.2-Non_parametric_Bayesian_Models-update-1.pdf <span style='color:#111;'> 737.95KB </span>","children":null,"spread":false},{"title":"20200408-李航-Sequence to Sequence Models.pdf <span style='color:#111;'> 1.33MB </span>","children":null,"spread":false},{"title":"20200429-李磊-learning deep latent models for text sequences - Tsinghua 2020.4.29.pdf <span style='color:#111;'> 19.05MB </span>","children":null,"spread":false},{"title":"A7. 2-Sequence_Modeling__Recurrent_and_Recursive_Nets_2019 (3).pdf <span style='color:#111;'> 10.96MB </span>","children":null,"spread":false},{"title":"A13-RL_short_2020.pdf <span style='color:#111;'> 23.68MB </span>","children":null,"spread":false},{"title":"A2.2-DNN-update-2.pdf <span style='color:#111;'> 3.72MB </span>","children":null,"spread":false},{"title":"A16-Beyond-GNN.pdf <span style='color:#111;'> 18.21MB </span>","children":null,"spread":false},{"title":"A15-DL-Reasoning.pdf <span style='color:#111;'> 18.03MB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]