Out-of-Distribution Detection - Groups

CLINC150

The dataset used in the paper for semi-supervised intent classification

Dataset
JSON

Out-of-Distribution Detection through Soft Clustering with Non-Negative Kerne...

The dataset used for out-of-distribution detection through soft clustering with non-negative kernel regression.

Dataset
JSON

ISIC 2019

The dataset used in the paper to evaluate the proposed two-stage approximately orthogonal training framework (TAOTF) for Deep Neural Networks (DNNs).

Dataset
JSON

eICU and MIMIC-IV

The eICU and MIMIC-IV datasets are used for out-of-distribution detection in medical tabular data.

Dataset
JSON

Fashion-MNIST, MNIST, SVHN, dSprites, and CIFAR-10

The dataset used in the paper is Fashion-MNIST, MNIST, SVHN, dSprites, and CIFAR-10.

Dataset
JSON

OOD datasets

The datasets used for OOD detection.

Dataset
JSON

Multi-scale OOD DEtection (MODE)

Out-of-distribution (OOD) detection aims to detect “unknown” data whose labels have not been seen during the in-distribution (ID) training process.

Dataset
JSON

OpenOOD: Benchmarking Generalized Out-of-distribution Detection

OpenOOD is a benchmarking dataset for generalized out-of-distribution detection.

Dataset
JSON

Diffusion Denoising Process for Perceptron Bias in Out-of-distribution Detection

Out-of-distribution (OOD) detection is a crucial task for ensuring the reliability and safety of deep learning. The dataset used in this paper is CIFAR10, CIFAR100, and ImageNet.

Dataset
JSON

Gaussian Noise, Uniform Noise, Tin (C), Tin (R)

Dataset
JSON

10 datasets found