clinicalml / human_ai_deferralLinks
Human-AI Deferral Evaluation Benchmark (Learning to Defer) AISTATS23
☆22Updated 2 years ago
Alternatives and similar repositories for human_ai_deferral
Users that are interested in human_ai_deferral are comparing it to the libraries listed below
Sorting:
- An easy-to-use interface for measuring uncertainty and robustness.☆15Updated 4 years ago
- An Empirical Framework for Domain Generalization In Clinical Settings☆30Updated 3 years ago
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…☆153Updated 2 years ago
- Learning to Split for Automatic Bias Detection☆47Updated 2 years ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆75Updated 2 years ago
- Optimal Transport Dataset Distance☆174Updated 3 years ago
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆87Updated last year
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 3 years ago
- ☆32Updated last year
- This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pyt…☆52Updated 4 years ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 4 years ago
- Reusable BatchBALD implementation☆78Updated last year
- Extending Conformal Prediction to LLMs☆68Updated last year
- A statistical toolkit for scientific discovery using machine learning☆79Updated last year
- Locally Valid and Discriminative Prediction Intervals for Deep Learning Models☆13Updated 2 years ago
- Local explanations with uncertainty 💐!☆42Updated 2 years ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆73Updated last year
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…☆255Updated 2 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆43Updated 3 years ago
- A toolkit for developing foundation models using Electronic Health Record (EHR) data.☆48Updated 2 weeks ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆55Updated 3 years ago
- This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help …☆25Updated 2 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆114Updated 3 years ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆111Updated 2 years ago
- Dataset and modelling infrastructure for modelling "event streams": sequences of continuous time, multivariate events with complex intern…☆116Updated 6 months ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆43Updated 7 months ago
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆87Updated 2 years ago
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆84Updated last month
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆70Updated 2 years ago