- Active_ML.pdf - Diapositivas
- active_learning.ipynb - Algunos ejemplos para las diapositivas
- requirements.txt - Paquetes necesarios para ejecutar el notebook
Material para la próxima clase: https://drive.google.com/drive/folders/1Q75Mm5HLg3t91ENjARFfIDLXDWBFF67D?usp=sharing
- https://medium.com/nvidia-ai/scalable-active-learning-for-autonomous-driving-a-practical-implementation-and-a-b-test-4d315ed04b5f
- https://www.usenix.org/system/files/conference/usenixsecurity16/sec16_paper_tramer.pdf
- https://scikit-learn.org/stable/modules/calibration.html
- https://www.sciencedirect.com/science/article/pii/S1566253520303134
- https://en.wikipedia.org/wiki/Platt_scaling
- https://openreview.net/pdf?id=JiYq3eqTKY
- https://christophm.github.io/interpretable-ml-book/influential.html#influential