A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection

16 June 2021

Balaji Lakshminarayanan

UQCV

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Papers citing "A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection"

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Title
How Does Unlabeled Data Provably Help Out-of-Distribution Detection? Xuefeng Du Zhen Fang Ilias Diakonikolas Yixuan Li OODD 41 27 0 05 Feb 2024
NODI: Out-Of-Distribution Detection with Noise from Diffusion Jingqiu Zhou Aojun Zhou Hongsheng Li DiffM 21 1 0 13 Jan 2024
Towards Reliable AI Model Deployments: Multiple Input Mixup for Out-of-Distribution Detection Dasol Choi Dongbin Na OODD 8 2 0 24 Dec 2023
GROOD: Gradient-Aware Out-of-Distribution Detection Mostafa ElAraby Sabyasachi Sahoo Y. Pequignot Paul Novello Liam Paull 13 0 0 22 Dec 2023
Likelihood-Aware Semantic Alignment for Full-Spectrum Out-of-Distribution Detection Fan Lu Kai Zhu Kecheng Zheng Wei Zhai Xuemiao Xu OODD 155 4 0 04 Dec 2023
ExCeL : Combined Extreme and Collective Logit Information for Enhancing Out-of-Distribution Detection Naveen Karunanayake Suranga Seneviratne Sanjay Chawla OODD 21 1 0 23 Nov 2023
DALA: A Distribution-Aware LoRA-Based Adversarial Attack against Language Models Yibo Wang Xiangjue Dong James Caverlee Philip S. Yu 21 2 0 14 Nov 2023
Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning Jianxiang Feng Jongseok Lee Simon Geisler Stephan Gunnemann Rudolph Triebel OODD 24 4 0 11 Nov 2023
Mahalanobis-Aware Training for Out-of-Distribution Detection Connor Mclaughlin J. Matterer Michael Yee OODD 16 0 0 01 Nov 2023
On Task-personalized Multimodal Few-shot Learning for Visually-rich Document Entity Retrieval Jiayi Chen H. Dai Bo Dai Aidong Zhang Wei Wei 21 2 0 01 Nov 2023
Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach Sangwoong Yoon Young-Uk Jin Yung-Kyun Noh Frank C. Park 16 12 0 28 Oct 2023
Toward Stronger Textual Attack Detectors Pierre Colombo Marine Picot Nathan Noiry Guillaume Staerman Pablo Piantanida 38 5 0 21 Oct 2023
NECO: NEural Collapse Based Out-of-distribution detection Mouin Ben Ammar Nacim Belkhir Sebastian Popescu Antoine Manzanera Gianni Franchi OODD 29 18 0 10 Oct 2023
Unified Uncertainty Calibration Kamalika Chaudhuri David Lopez-Paz 19 0 0 02 Oct 2023
Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement Kai Xu Rongyu Chen Gianni Franchi Angela Yao OODD 45 32 0 30 Sep 2023
Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection in Medical Tabular Data Mohammad Azizmalayeri Ameen Abu-Hanna Dirk Kraft OOD 20 5 0 28 Sep 2023
On the use of Mahalanobis distance for out-of-distribution detection with neural networks for medical imaging Harry Anthony Konstantinos Kamnitsas 22 9 0 04 Sep 2023
Improving Out-of-Distribution Detection in Echocardiographic View Classication through Enhancing Semantic Features Jaeik Jeon S. Ha Yeonggul Jang Y. Yoon Jiyeon Kim Hyunseok Jeong D. Jeong Youngtaek Hong Seung-Ah Lee Hyuk-Jae Chang 11 2 0 31 Aug 2023
From Global to Local: Multi-scale Out-of-distribution Detection Ji Zhang Lianli Gao Bingguang Hao Hao Huang Jingkuan Song H. Shen OODD 26 16 0 20 Aug 2023
Distance Matters For Improving Performance Estimation Under Covariate Shift Mélanie Roschewitz Ben Glocker 23 1 0 14 Aug 2023
Unsupervised Out-of-Distribution Dialect Detection with Mahalanobis Distance Sourya Dipta Das Yash Vadi Abhishek Unnam Kuldeep Yadav 12 1 0 09 Aug 2023
ScatterUQ: Interactive Uncertainty Visualizations for Multiclass Deep Learning Problems Harry Li Steven Jorgensen J. Holodnak Allan B. Wollaber OOD UQCV 17 1 0 08 Aug 2023
Likelihood-ratio-based confidence intervals for neural networks Laurens Sluijterman Eric Cator Tom Heskes UQCV 25 0 0 04 Aug 2023
General-Purpose Multi-Modal OOD Detection Framework Viet Duong Qiong Wu Zhengyi Zhou Eric Zavesky Jiahe Chen Xiangzhou Liu Wen-Ling Hsu Huajie Shao OODD 36 2 0 24 Jul 2023
HOOD: Real-Time Human Presence and Out-of-Distribution Detection Using FMCW Radar Sabri Mustafa Kahya Muhammet Sami Yavuz Eckehard Steinbach 33 3 0 24 Jul 2023
Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks M. Baran Joanna Baran Mateusz Wójcik Maciej Ziȩba Adam Gonczarek OODD 28 4 0 13 Jul 2023
Morse Neural Networks for Uncertainty Quantification Benoit Dherin Huiyi Hu Jie Jessie Ren Michael W. Dusenberry Balaji Lakshminarayanan UQCV AI4CE 21 4 0 02 Jul 2023
Towards Open Vocabulary Learning: A Survey Jianzong Wu Xiangtai Li Shilin Xu Haobo Yuan Henghui Ding ... Jiangning Zhang Yu Tong Xudong Jiang Bernard Ghanem Dacheng Tao ObjD VLM 29 136 0 28 Jun 2023
Conservative Prediction via Data-Driven Confidence Minimization Caroline Choi Fahim Tajwar Yoonho Lee Huaxiu Yao Ananya Kumar Chelsea Finn 26 5 0 08 Jun 2023
A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection Eduardo Dadalto Camara Gomes Pierre Colombo Guillaume Staerman Nathan Noiry Pablo Piantanida OODD 33 2 0 06 Jun 2023
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization Y. Liu Chris Xing Tian Haoliang Li Lei Ma Shiqi Wang UQCV 24 19 0 05 Jun 2023
A Data-Driven Measure of Relative Uncertainty for Misclassification Detection Eduardo Dadalto Camara Gomes Marco Romanelli Georg Pichler Pablo Piantanida UQCV 25 5 0 02 Jun 2023
In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation Julian Bitterwolf Maximilian Müller Matthias Hein OODD 19 83 0 01 Jun 2023
Gaussian Process Probes (GPP) for Uncertainty-Aware Probing Z. Wang Alexander Ku Jason Baldridge Thomas L. Griffiths Been Kim UQCV 21 11 0 29 May 2023
Building One-class Detector for Anything: Open-vocabulary Zero-shot OOD Detection Using Text-image Models Yunhao Ge Jie Jessie Ren Jiaping Zhao Kaifeng Chen Andrew Gallagher Laurent Itti Balaji Lakshminarayanan VLM ObjD 24 1 0 26 May 2023
Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep Classifiers A. Venkataramanan Assia Benbihi Martin Laviale C´edric Pradalier UQCV 21 6 0 23 May 2023
MLHOps: Machine Learning for Healthcare Operations Kristoffer Larsen Vallijah Subasri A. Krishnan Cláudio Tinoco Mesquita Diana Paez Laleh Seyyed-Kalantari Amalia Peix LM&MA AI4TS VLM 27 2 0 04 May 2023
Out-of-distribution detection algorithms for robust insect classification M. Saadati Prithviraj Ammanabrolu Shivani Chiranjeevi Talukder Zaki Jubery Mark O. Riedl S. Sarkar Arti Singh Baskar Ganapathysubramanian OODD 42 8 0 02 May 2023
Learning Sample Difficulty from Pre-trained Models for Reliable Prediction Peng Cui Dan Zhang Zhijie Deng Yinpeng Dong Junyi Zhu 16 12 0 20 Apr 2023
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization Mingze Yuan Yingda Xia Hexin Dong Zi Chen Jiawen Yao ... Bin Dong Jing Zhou Le Lu Ling Zhang Li Zhang OOD MedIm 16 20 0 01 Apr 2023
LINe: Out-of-Distribution Detection by Leveraging Important Neurons Yong Hyun Ahn Gyeong-Moon Park Seong Tae Kim OODD 111 31 0 24 Mar 2023
MCROOD: Multi-Class Radar Out-Of-Distribution Detection Sabri Mustafa Kahya Muhammet Sami Yavuz Eckehard Steinbach 22 9 0 10 Mar 2023
Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution Detection Nikolas Adaloglou Félix D. P. Michels Tim Kaiser M. Kollmann VLM 29 0 0 10 Mar 2023
A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models J. Allingham Jie Jessie Ren Michael W. Dusenberry Xiuye Gu Yin Cui Dustin Tran J. Liu Balaji Lakshminarayanan LLMAG VLM 24 32 0 13 Feb 2023
Two-step counterfactual generation for OOD examples Nawid Keshtmand Raúl Santos-Rodríguez J. Lawry OODD CML 17 0 0 10 Feb 2023
Robustness to Spurious Correlations Improves Semantic Out-of-Distribution Detection Lily H. Zhang Rajesh Ranganath OODD 19 6 0 08 Feb 2023
A Data-Centric Approach for Improving Adversarial Training Through the Lens of Out-of-Distribution Detection Mohammad Azizmalayeri Arman Zarei Alireza Isavand M. T. Manzuri M. Rohban OODD 35 0 0 25 Jan 2023
A Latent Space Correlation-Aware Autoencoder for Anomaly Detection in Skewed Data Padmaksha Roy 17 0 0 01 Jan 2023
Rainproof: An Umbrella To Shield Text Generators From Out-Of-Distribution Data Maxime Darrin Pablo Piantanida Pierre Colombo OODD 40 12 0 18 Dec 2022
A Learning Based Hypothesis Test for Harmful Covariate Shift T. Ginsberg Zhongyuan Liang Rahul G. Krishnan 6 11 0 06 Dec 2022