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
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection Marc Lafon Elias Ramzi Clément Rambour Nicolas Thome OODD 40 10 0 26 May 2023
Energy-based Detection of Adverse Weather Effects in LiDAR Data Aldi Piroli Vinzenz Dallabetta Johannes Kopp M. Walessa D. Meissner Klaus C. J. Dietmayer 32 17 0 25 May 2023
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future Linyi Yang Yangqiu Song Xuan Ren Chenyang Lyu Yidong Wang Lingqiao Liu Jindong Wang Jennifer Foster Yue Zhang OOD 44 2 0 23 May 2023
Subspace-Configurable Networks Dong Wang O. Saukh Xiaoxi He Lothar Thiele OOD 43 0 0 22 May 2023
Uncertainty-based Detection of Adversarial Attacks in Semantic Segmentation Kira Maag Asja Fischer AAML UQCV 28 4 0 22 May 2023
Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD Detection, Calibration, and Accuracy Stanislav Dereka I. Karpukhin Maksim Zhdanov Sergey Kolesnikov 41 0 0 19 May 2023
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation Xiaowei Huang Wenjie Ruan Wei Huang Gao Jin Yizhen Dong ... Sihao Wu Peipei Xu Dengyu Wu André Freitas Mustafa A. Mustafa ALM 52 83 0 19 May 2023
Semantic Anomaly Detection with Large Language Models Amine Elhafsi Rohan Sinha Christopher Agia Edward Schmerling I. Nesnas Marco Pavone 42 65 0 18 May 2023
Universal Domain Adaptation from Foundation Models: A Baseline Study Bin Deng Kui Jia VLM 34 6 0 18 May 2023
HiNoVa: A Novel Open-Set Detection Method for Automating RF Device Authentication Luke Puppo Weng-Keen Wong B. Hamdaoui Abdurrahman Elmaghbub 26 4 0 16 May 2023
Adversarial Examples Detection with Enhanced Image Difference Features based on Local Histogram Equalization Z. Yin Shaowei Zhu Han Su Jianteng Peng Wanli Lyu Bin Luo AAML 31 2 0 08 May 2023
Interactive System-wise Anomaly Detection Guanchu Wang Ninghao Liu Daochen Zha Xia Hu AAML 22 1 0 21 Apr 2023
MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning Zheng Lian Haiyang Sun Guoying Zhao Kang Chen Mingyu Xu ... Meng Wang Min Zhang Guoying Zhao Björn W. Schuller Jianhua Tao 50 48 0 18 Apr 2023
CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery Shaozhe Hao Kai Han Kwan-Yee K. Wong 53 16 0 14 Apr 2023
In-Distribution and Out-of-Distribution Self-supervised ECG Representation Learning for Arrhythmia Detection S. Soltanieh J. Hashemi Ali Etemad 32 11 0 13 Apr 2023
Unsupervised out-of-distribution detection for safer robotically guided retinal microsurgery Alain Jungo Lars Doorenbos Tommaso Da Col Maarten J. Beelen M. Zinkernagel Pablo Márquez-Neila Raphael Sznitman OODD 42 3 0 11 Apr 2023
Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation for Decentralized Learning Deepak Ravikumar Gobinda Saha Sai Aparna Aketi Kaushik Roy 21 2 0 09 Apr 2023
On-site Noise Exposure technique for noise-robust machine fault classification Wonjun Yi Jung-Woo Choi 21 0 0 07 Apr 2023
Probing the Purview of Neural Networks via Gradient Analysis Jinsol Lee Charles Lehman Mohit Prabhushankar Ghassan AlRegib 34 7 0 06 Apr 2023
Non-Generative Energy Based Models Jacob Piland Christopher Sweet Priscila Saboia Charles Vardeman A. Czajka 36 0 0 03 Apr 2023
Establishing baselines and introducing TernaryMixOE for fine-grained out-of-distribution detection Noah Fleischmann Walter D. Bennette Nathan Inkawhich OODD 26 0 0 30 Mar 2023
Did You Mean...? Confidence-based Trade-offs in Semantic Parsing Elias Stengel-Eskin Benjamin Van Durme 34 5 0 29 Mar 2023
Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection Nicola Franco Daniel Korth J. Lorenz Karsten Roscher Stephan Guennemann 33 5 0 27 Mar 2023
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck Jongheon Jeong Sihyun Yu Hankook Lee Jinwoo Shin AAML 49 0 0 24 Mar 2023
LINe: Out-of-Distribution Detection by Leveraging Important Neurons Yong Hyun Ahn Gyeong-Moon Park Seong Tae Kim OODD 119 31 0 24 Mar 2023
Anomaly Detection under Distribution Shift T. Cao Jiawen Zhu Guansong Pang 48 26 0 24 Mar 2023
Calibrated Out-of-Distribution Detection with a Generic Representation Tomás Vojír Jan Sochman Rahaf Aljundi Juan E. Sala Matas OODD UQCV 29 6 0 23 Mar 2023
Watch Out for the Confusing Faces: Detecting Face Swapping with the Probability Distribution of Face Identification Models Yuxuan Duan Xuhong Zhang Chuer Yu Zonghui Wang S. Ji Wenzhi Chen AAML CVBM 19 0 0 23 Mar 2023
Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization Zhuo Huang Miaoxi Zhu Xiaobo Xia Li Shen Jun Yu Chen Gong Bo Han Bo Du Tongliang Liu 43 33 0 23 Mar 2023
AUTO: Adaptive Outlier Optimization for Test-Time OOD Detection Puning Yang Jian Liang Jie Cao Ran He 41 12 0 22 Mar 2023
A Global Model Approach to Robust Few-Shot SAR Automatic Target Recognition Nathan Inkawhich 13 14 0 20 Mar 2023
Finding Competence Regions in Domain Generalization Jens Müller Stefan T. Radev R. Schmier Felix Dräxler Carsten Rother Ullrich Kothe 37 4 0 17 Mar 2023
WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis Yiye Chen Yunzhi Lin Ruinian Xu Patricio A. Vela OODD 37 3 0 14 Mar 2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning Zhuliang Yu Yin Li Yong Jae Lee 29 10 0 13 Mar 2023
Toward Unsupervised Realistic Visual Question Answering Yuwei Zhang Chih-Hui Ho Nuno Vasconcelos CoGe 27 2 0 09 Mar 2023
Rethinking Confidence Calibration for Failure Prediction Fei Zhu Zhen Cheng Xu-Yao Zhang Cheng-Lin Liu UQCV 22 39 0 06 Mar 2023
Non-Parametric Outlier Synthesis Leitian Tao Xuefeng Du Xiaojin Zhu Yixuan Li OODD 33 98 0 06 Mar 2023
Rule-based Out-Of-Distribution Detection Giacomo De Bernardi Sara Narteni E. Cambiaso Maurizio Mongelli OODD 44 3 0 03 Mar 2023
Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection Zhen Cheng Fei Zhu Xu-Yao Zhang Cheng-Lin Liu MoMe OODD 45 11 0 02 Mar 2023
Reconstruction-based Out-of-Distribution Detection for Short-Range FMCW Radar Sabri Mustafa Kahya Muhammet Sami Yavuz Eckehard Steinbach OODD 23 7 0 27 Feb 2023
Online Black-Box Confidence Estimation of Deep Neural Networks Fabian Woitschek G. Schneider UQCV 28 1 0 27 Feb 2023
A Plot is Worth a Thousand Words: Model Information Stealing Attacks via Scientific Plots Boyang Zhang Xinlei He Yun Shen Tianhao Wang Yang Zhang AAML 37 2 0 23 Feb 2023
Novel Intent Detection and Active Learning Based Classification (Student Abstract) Ankan Mullick 8 5 0 22 Feb 2023
Recent Advancements in Deep Learning Applications and Methods for Autonomous Navigation: A Comprehensive Review Arman Asgharpoor Golroudbari M. Sabour 27 20 0 22 Feb 2023
Using Semantic Information for Defining and Detecting OOD Inputs Ramneet Kaur Xiayan Ji Souradeep Dutta Michele Caprio Yahan Yang E. Bernardis O. Sokolsky Insup Lee OODD 45 7 0 21 Feb 2023
DC4L: Distribution Shift Recovery via Data-Driven Control for Deep Learning Models Vivian Lin Kuk Jin Jang Souradeep Dutta Michele Caprio O. Sokolsky Insup Lee OOD 38 6 0 20 Feb 2023
Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness Javier Poyatos Daniel Molina Aitor Martínez Javier Del Ser Francisco Herrera 39 10 0 20 Feb 2023
Mutual Exclusive Modulator for Long-Tailed Recognition Haixu Long Xiaolin Zhang Yanbin Liu Zongtai Luo Jianbo Liu 19 2 0 19 Feb 2023
Uncertainty-Estimation with Normalized Logits for Out-of-Distribution Detection Mou-Yue Huang Yu Qiao 19 2 0 15 Feb 2023
Semantic Image Segmentation: Two Decades of Research G. Csurka Riccardo Volpi Boris Chidlovskii 3DV 39 50 0 13 Feb 2023