#数据仓库#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
#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)
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...
#计算机科学#The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"
PyTorch implementation of MCM (Delving into out-of-distribution detection with vision-language representations), NeurIPS 2022