A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)

A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)

PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"

PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"

Promises and Pitfalls of Threshold-based Auto-labeling (NeurIPS 2023, Spotlight)

Promises and Pitfalls of Threshold-based Auto-labeling (NeurIPS 2023, Spotlight)

Pearls from Pebbles: Improved Confidence Functions for Auto-labeling (NeurIPS 2024)

Code for "Budgeted Classification with Rejection: An Evolutionary Method with Multiple Objectives", at IEEE CEC 2022

Robust Selective Classification of Skin Lesions with Asymmetric Costs

Robust Selective Classification of Skin Lesions with Asymmetric Costs

Machine Learning with a Reject Option

Machine Learning with a Reject Option

Official implementation of the ICLR paper "Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It"