Enhancing Out-of-Distribution Detection with Multitesting-based Layer-wise Feature Fusion

no code implementations • 16 Mar 2024 • Jiawei Li, Sitong Li, Shanshan Wang, Yicheng Zeng, Falong Tan, Chuanlong Xie

When trained using KNN on CIFAR10, MLOD-Fisher significantly lowers the false positive rate (FPR) from 24. 09% to 7. 47% on average compared to merely utilizing the features of the last layer.

Out-of-Distribution Detection Out of Distribution (OOD) Detection

LRBmat: A Novel Gut Microbial Interaction and Individual Heterogeneity Inference Method for Colorectal Cancer

1 code implementation • 13 Mar 2023 • Shan Tang, Shanjun Mao, Yangyang Chen, Falong Tan, Lihua Duan, Cong Pian, Xiangxiang Zeng

Many methods adopt gut microbiota to solve it, but few of them simultaneously take into account the complex interactions and individual heterogeneity of gut microbiota, which are two common and important issues in genetics and intestinal microbiology, especially in high-dimensional cases.

Boosting Out-of-Distribution Detection with Multiple Pre-trained Models

1 code implementation • 24 Dec 2022 • Feng Xue, Zi He, Chuanlong Xie, Falong Tan, Zhenguo Li

This advance raises a natural question: Can we leverage the diversity of multiple pre-trained models to improve the performance of post hoc detection methods?

Out-of-Distribution Detection Out of Distribution (OOD) Detection