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

16 June 2021

Balaji Lakshminarayanan

UQCV

ArXiv PDF HTML

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

32 / 132 papers shown

Title
Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large Language Models Albert Xu Xiang Ren Robin Jia OODD 14 2 0 28 Nov 2022
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification Paul F. Jaeger Carsten T. Lüth Lukas Klein Till J. Bungert UQCV 24 35 0 28 Nov 2022
Watermarking for Out-of-distribution Detection Qizhou Wang Feng Liu Yonggang Zhang Jing Zhang Chen Gong Tongliang Liu Bo Han OODD 22 31 0 27 Oct 2022
Is Out-of-Distribution Detection Learnable? Zhen Fang Yixuan Li Jie Lu Jiahua Dong Bo Han Feng Liu OODD 30 122 0 26 Oct 2022
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection Jingkang Yang Pengyun Wang Dejian Zou Zitang Zhou Kun Ding ... Kaiyang Zhou Wayne Zhang Dan Hendrycks Yixuan Li Ziwei Liu OODD 28 224 0 13 Oct 2022
Out-of-Distribution Detection and Selective Generation for Conditional Language Models Jie Jessie Ren Jiaming Luo Yao-Min Zhao Kundan Krishna Mohammad Saleh Balaji Lakshminarayanan Peter J. Liu OODD 67 94 0 30 Sep 2022
Your Out-of-Distribution Detection Method is Not Robust! Mohammad Azizmalayeri Arshia Soltani Moakhar Arman Zarei Reihaneh Zohrabi M. T. Manzuri M. Rohban OODD 33 15 0 30 Sep 2022
Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification Randolph Linderman Jingyang Zhang Nathan Inkawhich H. Li Yiran Chen OODD 143 6 0 09 Sep 2022
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection Samuel Wilson Tobias Fischer Feras Dayoub Dimity Miller Niko Sünderhauf OODD 21 29 0 29 Aug 2022
A Simple Test-Time Method for Out-of-Distribution Detection Ke Fan Yikai Wang Qian Yu Da Li Yanwei Fu OODD 47 8 0 17 Jul 2022
Plex: Towards Reliability using Pretrained Large Model Extensions Dustin Tran J. Liu Michael W. Dusenberry Du Phan Mark Collier ... D. Sculley Y. Gal Zoubin Ghahramani Jasper Snoek Balaji Lakshminarayanan VLM 31 124 0 15 Jul 2022
Know Your Space: Inlier and Outlier Construction for Calibrating Medical OOD Detectors V. Narayanaswamy Yamen Mubarka Rushil Anirudh Deepta Rajan A. Spanias Jayaraman J. Thiagarajan OOD 4 1 0 12 Jul 2022
Back to the Basics: Revisiting Out-of-Distribution Detection Baselines Jo-Lan Kuan Jonas W. Mueller OODD 8 27 0 07 Jul 2022
No GPU? No problem: an ultra fast 3D detection of road users with a simple proposal generator and energy-based out-of-distribution PointNets Alvari Seppänen Eerik Alamikkotervo Risto Ojala Giacomo Dario Kari Tammi 3DPC 24 0 0 06 Jun 2022
Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation Li Mingzhe Xiexiong Lin Xiuying Chen Jinxiong Chang Qishen Zhang ... Taifeng Wang Zhongyi Liu Wei Chu Dongyan Zhao Rui Yan 46 11 0 26 May 2022
Test-Time Robust Personalization for Federated Learning Liang Jiang Tao R. Lin FedML OOD TTA 77 43 0 22 May 2022
Near out-of-distribution detection for low-resolution radar micro-Doppler signatures Martin Bauw Santiago Velasco-Forero Jesús Angulo C. Adnet O. Airiau OODD 19 5 0 12 May 2022
Extensible Machine Learning for Encrypted Network Traffic Application Labeling via Uncertainty Quantification Steven Jorgensen J. Holodnak Jensen Dempsey Karla de Souza Ananditha Raghunath Vernon Rivet N. Demoes Andrés Alejos Allan B. Wollaber AAML 28 28 0 11 May 2022
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness J. Liu Shreyas Padhy Jie Jessie Ren Zi Lin Yeming Wen Ghassen Jerfel Zachary Nado Jasper Snoek Dustin Tran Balaji Lakshminarayanan UQCV BDL 16 48 0 01 May 2022
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback Yuntao Bai Andy Jones Kamal Ndousse Amanda Askell Anna Chen ... Jack Clark Sam McCandlish C. Olah Benjamin Mann Jared Kaplan 66 2,308 0 12 Apr 2022
Igeood: An Information Geometry Approach to Out-of-Distribution Detection Eduardo Dadalto Camara Gomes F. Alberge Pierre Duhamel Pablo Piantanida OODD 17 27 0 15 Mar 2022
Out of Distribution Detection on ImageNet-O Anugya Srivastava S. Jain Mugdha Thigle OOD 51 5 0 23 Jan 2022
Invariant Representation Driven Neural Classifier for Anti-QCD Jet Tagging Taoli Cheng Aaron Courville 17 6 0 18 Jan 2022
Adversarial vulnerability of powerful near out-of-distribution detection Stanislav Fort OODD 11 17 0 18 Jan 2022
Hyperdimensional Feature Fusion for Out-Of-Distribution Detection Samuel Wilson Tobias Fischer Niko Sünderhauf Feras Dayoub OODD 27 16 0 10 Dec 2021
Decomposing Representations for Deterministic Uncertainty Estimation Haiwen Huang Joost R. van Amersfoort Y. Gal UQCV OOD UD 18 1 0 01 Dec 2021
FROB: Few-shot ROBust Model for Classification and Out-of-Distribution Detection Nikolaos Dionelis Mehrdad Yaghoobi Sotirios A. Tsaftaris OODD 11 4 0 30 Nov 2021
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges Mohammadreza Salehi Hossein Mirzaei Dan Hendrycks Yixuan Li M. Rohban Mohammad Sabokrou OOD 25 190 0 26 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 176 875 0 21 Oct 2021
No True State-of-the-Art? OOD Detection Methods are Inconsistent across Datasets Fahim Tajwar Ananya Kumar Sang Michael Xie Percy Liang OODD 19 21 0 12 Sep 2021
Neural Mean Discrepancy for Efficient Out-of-Distribution Detection Xin Dong Junfeng Guo Ang Li W. Ting Cong Liu H. T. Kung OODD 13 57 0 23 Apr 2021
Semi-supervised novelty detection using ensembles with regularized disagreement A. Tifrea E. Stavarache Fanny Yang UQCV 21 6 0 10 Dec 2020