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"

50 / 784 papers shown

Title
Deep Open-Set Recognition for Silicon Wafer Production Monitoring Luca Frittoli Diego Carrera B. Rossi P. Fragneto Giacomo Boracchi BDL 24 19 0 30 Aug 2022
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection Samuel Wilson Tobias Fischer Feras Dayoub Dimity Miller Niko Sünderhauf OODD 31 29 0 29 Aug 2022
Open-Set Semi-Supervised Object Detection Yen-Cheng Liu Chih-Yao Ma Xiaoliang Dai Junjiao Tian Peter Vajda Zijian He Z. Kira 26 22 0 29 Aug 2022
Towards In-distribution Compatibility in Out-of-distribution Detection Boxi Wu Jie Jiang Haidong Ren Zifan Du Wenxiao Wang Zhifeng Li Deng Cai Xiaofei He Binbin Lin Wei Liu OODD 29 1 0 29 Aug 2022
CheapET-3: Cost-Efficient Use of Remote DNN Models Michael Weiss 41 1 0 24 Aug 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey Yanbei Chen Massimiliano Mancini Xiatian Zhu Zeynep Akata 50 115 0 24 Aug 2022
Tunable Hybrid Proposal Networks for the Open World Matthew J. Inkawhich Nathan Inkawhich H. Li Yiran Chen 37 2 0 23 Aug 2022
Meta-Causal Feature Learning for Out-of-Distribution Generalization Yuqing Wang Xiangxian Li Zhuang Qi Jingyu Li Xuelong Li Xiangxu Meng Lei Meng OOD OODD BDL 44 25 0 22 Aug 2022
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay Gyuhak Kim Zixuan Ke Bin Liu VLM CLL OODD 25 30 0 20 Aug 2022
Open Long-Tailed Recognition in a Dynamic World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu VLM 51 18 0 17 Aug 2022
Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model Xiulong Yang Sheng-Min Shih Yinlin Fu Xiaoting Zhao Shihao Ji DiffM 33 56 0 16 Aug 2022
Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation Jiamin Liang Yuhao Huang Haoming Li Shuangchi He Xindi Hu Zejian Chen Isabel Kaltenborn Dong Ni OOD 33 42 0 05 Aug 2022
OpenCon: Open-world Contrastive Learning Yiyou Sun Yixuan Li VLM SSL DRL 62 39 0 04 Aug 2022
Approximate Bayesian Neural Operators: Uncertainty Quantification for Parametric PDEs Emilia Magnani Nicholas Kramer Runa Eschenhagen Lorenzo Rosasco Philipp Hennig UQCV BDL 26 9 0 02 Aug 2022
A knee cannot have lung disease: out-of-distribution detection with in-distribution voting using the medical example of chest X-ray classification Alessandro Wollek Theresa Willem Michael Ingrisch B. Sabel Tobias Lasser OOD 22 3 0 01 Aug 2022
Modeling Human Response to Robot Errors for Timely Error Detection Maia Stiber Russell H. Taylor Chien-Ming Huang 27 28 0 01 Aug 2022
Out-of-Distribution Detection with Semantic Mismatch under Masking Yijun Yang Ruiyuan Gao Qiang Xu OODD 32 27 0 31 Jul 2022
Exploring the Design of Adaptation Protocols for Improved Generalization and Machine Learning Safety Puja Trivedi Danai Koutra Jayaraman J. Thiagarajan AAML 35 0 0 26 Jul 2022
Task-Relevant Failure Detection for Trajectory Predictors in Autonomous Vehicles Alec Farid Sushant Veer Boris Ivanovic Karen Leung Marco Pavone 48 24 0 25 Jul 2022
CODiT: Conformal Out-of-Distribution Detection in Time-Series Data R. Kaur Kaustubh Sridhar Sangdon Park Susmit Jha Anirban Roy O. Sokolsky Insup Lee OODD AI4TS 144 1 0 24 Jul 2022
3DOS: Towards 3D Open Set Learning -- Benchmarking and Understanding Semantic Novelty Detection on Point Clouds A. Alliegro Francesco Cappio Borlino Tatiana Tommasi 3DPC 3DV 42 7 0 23 Jul 2022
Generating and Detecting True Ambiguity: A Forgotten Danger in DNN Supervision Testing Michael Weiss A. Gómez Paolo Tonella AAML 23 6 0 21 Jul 2022
Latent Discriminant deterministic Uncertainty Gianni Franchi Xuanlong Yu Andrei Bursuc Emanuel Aldea Séverine Dubuisson David Filliat UQCV 34 18 0 20 Jul 2022
Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis in Hyperbolic Geometry Yawen Cui Zitong Yu Wei Peng Li Liu CLL 35 11 0 20 Jul 2022
Exploiting Inter-Sample Affinity for Knowability-Aware Universal Domain Adaptation Yifan Wang Lin Zhang Ran Song Hongliang Li Lin Ma Wei Emma Zhang 31 6 0 19 Jul 2022
Instance-Aware Observer Network for Out-of-Distribution Object Segmentation Victor Besnier Andrei Bursuc David Picard Alexandre Briot 44 1 0 18 Jul 2022
Task-aware Similarity Learning for Event-triggered Time Series Shaoyu Dou Kai Yang Yang Jiao Chengbo Qiu Kui Ren AI4TS 34 0 0 17 Jul 2022
Augmenting Softmax Information for Selective Classification with Out-of-Distribution Data Guoxuan Xia C. Bouganis OODD 21 27 0 15 Jul 2022
Estimating Test Performance for AI Medical Devices under Distribution Shift with Conformal Prediction Charles Lu Syed Rakin Ahmed Praveer Singh Jayashree Kalpathy-Cramer OOD 37 5 0 12 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 14 1 0 12 Jul 2022
Language Models (Mostly) Know What They Know Saurav Kadavath Tom Conerly Amanda Askell T. Henighan Dawn Drain ... Nicholas Joseph Benjamin Mann Sam McCandlish C. Olah Jared Kaplan ELM 61 726 0 11 Jul 2022
Towards Adaptive Unknown Authentication for Universal Domain Adaptation by Classifier Paradox Yunyun Wang Yaojie Liu Songcan Chen 23 1 0 10 Jul 2022
On the Robustness and Anomaly Detection of Sparse Neural Networks Morgane Ayle Bertrand Charpentier John Rachwan Daniel Zügner Simon Geisler Stephan Günnemann AAML 63 3 0 09 Jul 2022
Back to the Basics: Revisiting Out-of-Distribution Detection Baselines Jo-Lan Kuan Jonas W. Mueller OODD 30 28 0 07 Jul 2022
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition Matej Grcić Petra Bevandić Sinivsa vSegvić 32 54 0 06 Jul 2022
Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios Xueying Zhan Zeyu Dai Qingzhong Wang Qing Li Haoyi Xiong Dejing Dou Antoni B. Chan OODD 16 3 0 04 Jul 2022
Shifts 2.0: Extending The Dataset of Real Distributional Shifts A. Malinin A. Athanasopoulos M. Barakovic Meritxell Bach Cuadra Mark Gales ... Francesco La Rosa Eli Sivena V. Tsarsitalidis Efi Tsompopoulou E. Volf OOD 33 28 0 30 Jun 2022
EBMs vs. CL: Exploring Self-Supervised Visual Pretraining for Visual Question Answering Violetta Shevchenko Ehsan Abbasnejad A. Dick Anton Van Den Hengel Damien Teney 51 0 0 29 Jun 2022
SLOVA: Uncertainty Estimation Using Single Label One-Vs-All Classifier Bartosz Wójcik J. Grela Marek Śmieja Krzysztof Misztal Jacek Tabor UQCV 38 4 0 28 Jun 2022
POEM: Out-of-Distribution Detection with Posterior Sampling Yifei Ming Ying Fan Yixuan Li OODD 42 114 0 28 Jun 2022
Distributional Gaussian Processes Layers for Out-of-Distribution Detection S. Popescu D. Sharp James H. Cole Konstantinos Kamnitsas Ben Glocker OOD 36 0 0 27 Jun 2022
Confidence Score Based Conformer Speaker Adaptation for Speech Recognition Jiajun Deng Xurong Xie Tianzi Wang Mingyu Cui Boyang Xue Zengrui Jin Mengzhe Geng Guinan Li Xunying Liu Helen M. Meng 22 13 0 24 Jun 2022
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities Julian Bitterwolf Alexander Meinke Maximilian Augustin Matthias Hein OODD 21 25 0 20 Jun 2022
Multiple Testing Framework for Out-of-Distribution Detection A. Magesh V. Veeravalli Anirban Roy Susmit Jha OODD 47 5 0 20 Jun 2022
ADBench: Anomaly Detection Benchmark Songqiao Han Xiyang Hu Hailiang Huang Mingqi Jiang Yue Zhao OOD 46 296 0 19 Jun 2022
Gray Learning from Non-IID Data with Out-of-distribution Samples Zhilin Zhao LongBing Cao Changbao Wang OOD OODD 45 1 0 19 Jun 2022
Maximum Class Separation as Inductive Bias in One Matrix Tejaswi Kasarla Gertjan J. Burghouts Max van Spengler Elise van der Pol Rita Cucchiara Pascal Mettes 31 22 0 17 Jun 2022
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation Tao Sun Mattia Segu Janis Postels Yuxuan Wang Luc Van Gool Bernt Schiele F. Tombari Feng Yu TTA 57 149 0 16 Jun 2022
Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey Abhijith Sharma Yijun Bian Phil Munz Apurva Narayan VLM AAML 32 20 0 16 Jun 2022
Gradient-Based Adversarial and Out-of-Distribution Detection Jinsol Lee Mohit Prabhushankar Ghassan AlRegib UQCV 40 13 0 16 Jun 2022