/active_learn_to_defer

Code for Sample Efficient Learning of Predictors that Complement Humans (ICML 2022)

Primary LanguagePython

Sample Efficient Learning of Predictors that Complement Humans

We provide two jupyter notebooks each replicates one of the figures in our paper:

  • joint_v_staged_model_complex.ipynb replicates Figure 2
  • joint_v_staged_sample_complexity.ipynb replicates Figure 3
  • python run_halfspaces.py replicates Figure 4

For reference implementation of learning to defer methods, please see our updated code in this repo instead https://github.com/clinicalml/human_ai_deferral