out-of-distribution-detection

#数据仓库#Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

#计算机科学#A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

#计算机科学#Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

#Awesome#A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition

Benchmarking Generalized Out-of-Distribution Detection

Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc

#计算机科学#Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

The Official Repository for "Generalized OOD Detection: A Survey"

ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.

CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)

Self-Supervised Learning for OOD Detection (NeurIPS 2019)

[TPAMI 2022] Adversarial Reciprocal Points Learning for Open Set Recognition

The Combined Anomalous Object Segmentation (CAOS) Benchmark

#大语言模型#[ACM CSUR 2025] Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances

#自然语言处理#Papers for Open Knowledge Discovery

#计算机科学#The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks

#计算机科学#Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).

Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)

PyTorch implementation of MCM (Delving into out-of-distribution detection with vision-language representations), NeurIPS 2022

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...