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
Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization Lin Zhu Yifeng Yang Zichao Nie Yuan Gao VLM 28 3 0 13 Apr 2025
AdaSCALE: Adaptive Scaling for OOD Detection Sudarshan Regmi OODD 52 0 0 11 Mar 2025
Open-Set Recognition of Novel Species in Biodiversity Monitoring Yuyan Chen Nico Lang B. Christian Schmidt Aditya Jain Yves Basset Sara Beery Maxim Larrivée David Rolnick 42 0 0 03 Mar 2025
OpenEarthSensing: Large-Scale Fine-Grained Benchmark for Open-World Remote Sensing Xiang Xiang Zhuo Xu Yao Deng Qinhao Zhou Yifan Liang Ke Chen Qingfang Zheng Yaowei Wang Xilin Chen Wen Gao VLM 45 0 0 28 Feb 2025
HALO: Robust Out-of-Distribution Detection via Joint Optimisation Hugo Lyons Keenan S. Erfani Christopher Leckie OODD 202 0 0 27 Feb 2025
Multi-label out-of-distribution detection via evidential learning Eduardo Aguilar Bogdan Raducanu P. Radeva OODD 53 0 0 25 Feb 2025
Out-of-Distribution Detection using Synthetic Data Generation Momin Abbas Muneeza Azmat R. Horesh Mikhail Yurochkin 38 1 0 05 Feb 2025
ConceptVAE: Self-Supervised Fine-Grained Concept Disentanglement from 2D Echocardiographies C. Ciușdel Alex Serban Tiziano Passerini CoGe 69 1 0 03 Feb 2025
Scanning Trojaned Models Using Out-of-Distribution Samples Hossein Mirzaei Ali Ansari Bahar Dibaei Nia Mojtaba Nafez Moein Madadi ... Kian Shamsaie Mahdi Hajialilue Jafar Habibi Mohammad Sabokrou M. Rohban OODD 61 2 0 28 Jan 2025
Concept Matching with Agent for Out-of-Distribution Detection YuXiao Lee Xiaofeng Cao Jingcai Guo Wei Ye Qing-Wu Guo Yi Chang 56 0 0 08 Jan 2025
Multi-layer Radial Basis Function Networks for Out-of-distribution Detection Amol Khanna Chenyi Ling Derek Everett Edward Raff Nathan Inkawhich OODD 28 0 0 05 Jan 2025
Exploring Aleatoric Uncertainty in Object Detection via Vision Foundation Models Peng Cui Guande He Dan Zhang Zhijie Deng Yinpeng Dong Jun Zhu 82 0 0 26 Nov 2024
Semantic or Covariate? A Study on the Intractable Case of Out-of-Distribution Detection Xingming Long Jie M. Zhang Shiguang Shan Xilin Chen OODD 45 0 0 18 Nov 2024
Going Beyond Conventional OOD Detection Sudarshan Regmi OODD 52 1 0 16 Nov 2024
Robust Fine-tuning of Zero-shot Models via Variance Reduction B. Zhu Jiequan Cui H. Zhang VLM OODD 33 1 0 11 Nov 2024
Dimensionality-induced information loss of outliers in deep neural networks Kazuki Uematsu Kosuke Haruki Taiji Suzuki Mitsuhiro Kimura Takahiro Takimoto Hideyuki Nakagawa 20 0 0 29 Oct 2024
AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models Yabin Zhang L. Zhang VLM OODD 28 2 0 26 Oct 2024
A new approach for fine-tuning sentence transformers for intent classification and out-of-scope detection tasks Tianyi Zhang Atta Norouzian Aanchan Mohan Frederick Ducatelle 13 0 0 17 Oct 2024
Robust AI-Generated Text Detection by Restricted Embeddings Kristian Kuznetsov Eduard Tulchinskii Laida Kushnareva German Magai Serguei Barannikov Sergey I. Nikolenko Irina Piontkovskaya DeLMO 32 115 0 10 Oct 2024
Forte : Finding Outliers with Representation Typicality Estimation Debargha Ganguly Warren Morningstar A. Yu Vipin Chaudhary OODD 39 0 0 02 Oct 2024
MorphoSeg: An Uncertainty-Aware Deep Learning Method for Biomedical Segmentation of Complex Cellular Morphologies Tianhao Zhang Heather J. McCourty Berardo M. Sanchez-Tafolla Anton Nikolaev Lyudmila Mihaylova 19 0 0 25 Sep 2024
Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehicles Tongfei Guo Rui Liu Lili Su 38 1 0 25 Sep 2024
Proto-OOD: Enhancing OOD Object Detection with Prototype Feature Similarity Junkun Chen Jilin Mei Liang Chen Fangzhou Zhao Yu Hu Yu Hu ObjD 40 0 0 09 Sep 2024
Can OOD Object Detectors Learn from Foundation Models? Jiahui Liu Xin Wen Shizhen Zhao Y. Chen Xiaojuan Qi OODD 38 2 0 08 Sep 2024
LoGex: Improved tail detection of extremely rare histopathology classes via guided diffusion Maximilian Mueller Matthias Hein MedIm 35 0 0 02 Sep 2024
Your Classifier Can Be Secretly a Likelihood-Based OOD Detector Jirayu Burapacheep Yixuan Li OODD 32 3 0 09 Aug 2024
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution Kai-Chun Liu Zhihang Fu Sheng Jin Chao Chen Ze Chen Rongxin Jiang Fan Zhou Yao-Shen Chen Jieping Ye OODD 44 0 0 23 Jul 2024
LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models Yabin Zhang Wenjie Zhu Chenhang He Lei Zhang VLM 45 7 0 12 Jul 2024
Improving Out-of-Distribution Detection by Combining Existing Post-hoc Methods Paul Novello Yannick Prudent Joseba Dalmau Corentin Friedrich Y. Pequignot OODD 35 1 0 09 Jul 2024
Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection Eduardo Dadalto F. Alberge Pierre Duhamel Pablo Piantanida OODD 43 0 0 23 Jun 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors Peter Lorenz Mario Fernandez Jens Müller Ullrich Kothe AAML 73 1 0 21 Jun 2024
Self-Regulated Data-Free Knowledge Amalgamation for Text Classification Prashanth Vijayaraghavan Hongzhi Wang Luyao Shi Tyler Baldwin David Beymer Ehsan Degan 29 1 0 16 Jun 2024
Measuring Stochastic Data Complexity with Boltzmann Influence Functions Nathan Ng Roger C. Grosse Marzyeh Ghassemi 30 0 0 04 Jun 2024
When and How Does In-Distribution Label Help Out-of-Distribution Detection? Xuefeng Du Yiyou Sun Yixuan Li 27 7 0 28 May 2024
WeiPer: OOD Detection using Weight Perturbations of Class Projections Maximilian Granz Manuel Heurich Tim Landgraf OODD 37 1 0 27 May 2024
Enhancing Near OOD Detection in Prompt Learning: Maximum Gains, Minimal Costs M. Jung He Zhao Joanna Dipnall Belinda Gabbe Lan Du VLM OODD 34 1 0 25 May 2024
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations Mohammad Azizmalayeri Ameen Abu-Hanna Giovanni Cina OODD 38 1 0 21 May 2024
How to train your ViT for OOD Detection Maximilian Mueller Matthias Hein 18 0 0 21 May 2024
Monitizer: Automating Design and Evaluation of Neural Network Monitors Muqsit Azeem Marta Grobelna Sudeep Kanav Jan Křetínský Stefanie Mohr Sabine Rieder 39 2 0 16 May 2024
Variational Bayesian Last Layers James Harrison John Willes Jasper Snoek BDL UQCV 57 23 0 17 Apr 2024
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey Naveen Karunanayake Ravin Gunawardena Suranga Seneviratne Sanjay Chawla OOD 38 5 0 08 Apr 2024
A noisy elephant in the room: Is your out-of-distribution detector robust to label noise? Galadrielle Humblot-Renaux Sergio Escalera T. Moeslund OODD UQCV NoLa 29 5 0 02 Apr 2024
TrustSQL: Benchmarking Text-to-SQL Reliability with Penalty-Based Scoring Gyubok Lee Woosog Chay Seonhee Cho Edward Choi LMTD 39 4 0 23 Mar 2024
Hyperbolic Metric Learning for Visual Outlier Detection Alvaro Gonzalez-Jimenez Simone Lionetti Dena Bazazian Philippe Gottfrois Fabian Gröger M. Pouly A. Navarini 51 1 0 22 Mar 2024
Just Say the Name: Online Continual Learning with Category Names Only via Data Generation Minhyuk Seo Diganta Misra Seongwon Cho Minjae Lee Jonghyun Choi CLL 33 7 0 16 Mar 2024
Enhancing Out-of-Distribution Detection with Multitesting-based Layer-wise Feature Fusion Jiawei Li Sitong Li Shanshan Wang Yicheng Zeng Falong Tan Chuanlong Xie OODD 30 1 0 16 Mar 2024
Out-of-Distribution Detection using Neural Activation Prior Weilin Wan Weizhong Zhang Quan Zhou Fan Yi Cheng Jin OODD 37 0 0 28 Feb 2024
Outlier detection by ensembling uncertainty with negative objectness Anja Delić Matej Grcić Sinisa Segvic UQCV 43 15 0 23 Feb 2024
Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism Hippolyte Gisserot-Boukhlef Manuel Faysse Emmanuel Malherbe C´eline Hudelot Pierre Colombo 30 2 0 20 Feb 2024
EndoOOD: Uncertainty-aware Out-of-distribution Detection in Capsule Endoscopy Diagnosis Qiaozhi Tan Long Bai Guan-Feng Wang Mobarakol Islam Hongliang Ren 23 4 0 18 Feb 2024