out-of-distribution-detection topic

Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.

deel-ai

Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems to reduce costs, extend their lifespan, and facilitate sustainab...

conditionWang

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

Impression2805

Uncertainty-Aware Reliable Text Classification (KDD 2021)

snowood1

The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"

qitianwu

Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"

j-cb

Paper of out of distribution detection and generalization

miniHuiHui

Official PyTorch code for "Out-of-distribution detection with denoising diffusion models"

marksgraham

[WACV'23] Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-grained Environments

zjysteven

NeurIPS22 "RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection"

KingJamesSong