A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

7 October 2016

Papers citing "A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks"

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Title
HAROOD: Human Activity Classification and Out-of-Distribution Detection with Short-Range FMCW Radar Sabri Mustafa Kahya Muhammet Sami Yavuz Eckehard G. Steinbach 34 4 0 14 Dec 2023
An Ambiguity Measure for Recognizing the Unknowns in Deep Learning Roozbeh Yousefzadeh AAML UQCV 33 0 0 11 Dec 2023
Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-Training Arun V. Reddy William Paul Corban Rivera Ketul Shah Celso M. de Melo Rama Chellappa 42 4 0 05 Dec 2023
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition Chong Wang Yuanhong Chen Fengbei Liu Yuyuan Liu Davis J. McCarthy Helen Frazer Gustavo Carneiro 34 1 0 30 Nov 2023
Model-free Test Time Adaptation for Out-Of-Distribution Detection Yi-Fan Zhang Xue Wang Tian Zhou Kun Yuan Zhang Zhang Liang Wang Rong Jin Tien-Ping Tan TTA OODD 32 4 0 28 Nov 2023
ExCeL : Combined Extreme and Collective Logit Information for Enhancing Out-of-Distribution Detection Naveen Karunanayake Suranga Seneviratne Sanjay Chawla OODD 28 1 0 23 Nov 2023
A Baseline Analysis of Reward Models' Ability To Accurately Analyze Foundation Models Under Distribution Shift Will LeVine Benjamin Pikus Tony Chen Sean Hendryx 48 8 0 21 Nov 2023
Llamas Know What GPTs Don't Show: Surrogate Models for Confidence Estimation Vaishnavi Shrivastava Percy Liang Ananya Kumar 28 28 0 15 Nov 2023
Identifying Light-curve Signals with a Deep Learning Based Object Detection Algorithm. II. A General Light Curve Classification Framework Kaiming Cui D. J. Armstrong Fabo Feng 29 2 0 14 Nov 2023
Mixture-of-Experts for Open Set Domain Adaptation: A Dual-Space Detection Approach Zhenbang Du Jiayu An Yunlu Tu Jiahao Hong Dongrui Wu MoE 28 1 0 01 Nov 2023
Classifier-head Informed Feature Masking and Prototype-based Logit Smoothing for Out-of-Distribution Detection Zhuohao Sun Yiqiao Qiu Zhijun Tan Weishi Zheng Ruixuan Wang OODD 25 6 0 27 Oct 2023
Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method Yukun Zhao Lingyong Yan Weiwei Sun Guoliang Xing Chong Meng Shuaiqiang Wang Zhicong Cheng Zhaochun Ren Dawei Yin 36 37 0 27 Oct 2023
Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP Sungmin Cho Hyunsoo Cho Sang-Woo Lee Junyeob Kim Choonghyun Park Sang-goo Lee Kang Min Yoo Taeuk Kim VLM OOD 53 1 0 23 Oct 2023
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation Jianing Zhu Geng Yu Jiangchao Yao Tongliang Liu Gang Niu Masashi Sugiyama Bo Han OODD 39 30 0 21 Oct 2023
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection Pei Wang Keqing He Yutao Mou Xiaoshuai Song Yanan Wu Jingang Wang Yunsen Xian Xunliang Cai Weiran Xu 21 3 0 20 Oct 2023
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection Zhihao Ding Jieming Shi Shiqi Shen Xuequn Shang Jiannong Cao Zhipeng Wang Zhi Gong OODD OOD 42 4 0 16 Oct 2023
Conformal Prediction for Deep Classifier via Label Ranking Jianguo Huang Huajun Xi Linjun Zhang Huaxiu Yao Yue Qiu Hongxin Wei 41 22 0 10 Oct 2023
Understanding the Feature Norm for Out-of-Distribution Detection Jaewoo Park Jacky Chen Long Chai Jaeho Yoon Andrew Beng Jin Teoh OODD 34 12 0 09 Oct 2023
Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection in Medical Tabular Data Mohammad Azizmalayeri Ameen Abu-Hanna Dirk Kraft OOD 33 5 0 28 Sep 2023
The Robust Semantic Segmentation UNCV2023 Challenge Results Xuanlong Yu Yi Zuo Zitao Wang Xiaowen Zhang Jiaxuan Zhao ... Angela Yao Wenlong Chen Ivor J. A. Simpson Neill D. F. Campbell Gianni Franchi UQCV 40 4 0 27 Sep 2023
Mask2Anomaly: Mask Transformer for Universal Open-set Segmentation Shyam Nandan Rai Fabio Cermelli Barbara Caputo Carlo Masone ISeg ViT 33 5 0 08 Sep 2023
Continual Improvement of Threshold-Based Novelty Detection Abe Ejilemele Jorge Mendez-Mendez 38 0 0 05 Sep 2023
Are Existing Out-Of-Distribution Techniques Suitable for Network Intrusion Detection? Andrea Corsini S. Yang OODD AAML 23 7 0 28 Aug 2023
Uncertainty Estimation of Transformers' Predictions via Topological Analysis of the Attention Matrices Elizaveta Kostenok D. Cherniavskii Alexey Zaytsev 58 5 0 22 Aug 2023
How Good Are LLMs at Out-of-Distribution Detection? Bo Liu Li-Ming Zhan Zexin Lu Yu Feng Lei Xue Xiao-Ming Wu OODD 42 8 0 20 Aug 2023
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression Xuanlong Yu Gianni Franchi Jindong Gu Emanuel Aldea UQCV 29 4 0 17 Aug 2023
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation Jadie Adams Shireen Y. Elhabian UQCV 21 5 0 15 Aug 2023
Learning on Graphs with Out-of-Distribution Nodes Yunho Song Donglin Wang OODD 21 39 0 13 Aug 2023
Expert load matters: operating networks at high accuracy and low manual effort Sara Sangalli Ertunc Erdil E. Konukoglu 17 4 0 09 Aug 2023
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation M. Woodland Nihil Patel Mais Al Taie J. Yung Tucker Netherton Ankit B. Patel Kristy K. Brock OOD 30 6 0 07 Aug 2023
Redesigning Out-of-Distribution Detection on 3D Medical Images A. Vasiliuk Daria Frolova Mikhail Belyaev B. Shirokikh OOD 34 5 0 07 Aug 2023
HOOD: Real-Time Human Presence and Out-of-Distribution Detection Using FMCW Radar Sabri Mustafa Kahya Muhammet Sami Yavuz Eckehard Steinbach 48 3 0 24 Jul 2023
Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained Transformers Jaeyoung Kim Kyuheon Jung Dongbin Na Sion Jang Eunbin Park Sungchul Choi OODD 41 6 0 18 Jul 2023
Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks M. Baran Joanna Baran Mateusz Wójcik Maciej Ziȩba Adam Gonczarek OODD 54 4 0 13 Jul 2023
Learning Adversarial Semantic Embeddings for Zero-Shot Recognition in Open Worlds Tianqi Li Guansong Pang Xiao Bai Jingyi Zheng Lei Zhou Xin Ning VLM 45 27 0 07 Jul 2023
Robust Uncertainty Estimation for Classification of Maritime Objects J. Becktor Frederik E. T. Schöller Evangelos Boukas Lazaros Nalpantidis UQCV OOD 50 2 0 03 Jul 2023
Image Background Serves as Good Proxy for Out-of-distribution Data Sen Pei 44 1 0 02 Jul 2023
Beyond AUROC & co. for evaluating out-of-distribution detection performance Galadrielle Humblot-Renaux Sergio Escalera T. Moeslund OODD 22 4 0 26 Jun 2023
A Cosine Similarity-based Method for Out-of-Distribution Detection Nguyen Ngoc-Hieu Nguyen Hung-Quang The-Anh Ta Thanh Nguyen-Tang Khoa D. Doan Hoang Thanh-Tung OODD 24 2 0 23 Jun 2023
Confidence-Based Model Selection: When to Take Shortcuts for Subpopulation Shifts Annie S. Chen Yoonho Lee Amrith Rajagopal Setlur Sergey Levine Chelsea Finn OOD 27 5 0 19 Jun 2023
Open Set Relation Extraction via Unknown-Aware Training Jun Zhao Xin Zhao Wenyu Zhan Qi Zhang Tao Gui Zhongyu Wei Yunwen Chen Xiang Gao Xuanjing Huang 38 1 0 08 Jun 2023
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability Jianing Zhu Hengzhuang Li Jiangchao Yao Tongliang Liu Jianliang Xu Bo Han OODD 50 12 0 06 Jun 2023
A Data-Driven Measure of Relative Uncertainty for Misclassification Detection Eduardo Dadalto Camara Gomes Marco Romanelli Georg Pichler Pablo Piantanida UQCV 48 5 0 02 Jun 2023
In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation Julian Bitterwolf Maximilian Müller Matthias Hein OODD 29 84 0 01 Jun 2023
Probabilistic computation and uncertainty quantification with emerging covariance He Ma Yong Qi Li Zhang Wenlian Lu Jianfeng Feng 11 1 0 30 May 2023
Beyond Confidence: Reliable Models Should Also Consider Atypicality Mert Yuksekgonul Linjun Zhang James Zou Carlos Guestrin 32 20 0 29 May 2023
Gaussian Process Probes (GPP) for Uncertainty-Aware Probing Zehao Wang Alexander Ku Jason Baldridge Thomas Griffiths Been Kim UQCV 38 11 0 29 May 2023
Training Private Models That Know What They Don't Know Stephan Rabanser Anvith Thudi Abhradeep Thakurta Krishnamurthy Dvijotham Nicolas Papernot 26 7 0 28 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 26 1 0 26 May 2023
Maskomaly:Zero-Shot Mask Anomaly Segmentation J. Ackermann Daniel Gehrig Feng Yu ISeg 40 23 0 26 May 2023