Learning Confidence for Out-of-Distribution Detection in Neural Networks

13 February 2018

Papers citing "Learning Confidence for Out-of-Distribution Detection in Neural Networks"

50 / 113 papers shown

Title
CAShift: Benchmarking Log-Based Cloud Attack Detection under Normality Shift Jiongchi Yu Xiaofei Xie Q. Hu Bowen Zhang Ziming Zhao Yun Lin Lei Ma Ruitao Feng Frank Liau 48 0 0 12 Apr 2025
Going Beyond Conventional OOD Detection Sudarshan Regmi OODD 61 1 0 16 Nov 2024
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models Mengyuan Chen Junyu Gao Changsheng Xu VLM OODD 30 0 0 11 Oct 2024
ASPS: Augmented Segment Anything Model for Polyp Segmentation Huiqian Li Dingwen Zhang Jieru Yao Longfei Han Zhongyu Li J. Han 53 10 0 30 Jun 2024
Out-of-distribution detection based on subspace projection of high-dimensional features output by the last convolutional layer Qiuyu Zhu Yiwei He OODD 26 1 0 02 May 2024
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World Bowen Lei Dongkuan Xu Ruqi Zhang Bani Mallick UQCV 39 0 0 29 Mar 2024
Open-World Semantic Segmentation Including Class Similarity Matteo Sodano Federico Magistri Lucas Nunes Jens Behley C. Stachniss VLM 42 8 0 12 Mar 2024
ExCeL : Combined Extreme and Collective Logit Information for Enhancing Out-of-Distribution Detection Naveen Karunanayake Suranga Seneviratne Sanjay Chawla OODD 23 1 0 23 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 18 6 0 27 Oct 2023
Are Existing Out-Of-Distribution Techniques Suitable for Network Intrusion Detection? Andrea Corsini S. Yang OODD AAML 23 7 0 28 Aug 2023
Out-of-distribution detection using normalizing flows on the data manifold S. Razavi M. Mehmanchi Reshad Hosseini Mostafa Tavassolipour OODD 48 0 0 26 Aug 2023
Uncertainty Estimation of Transformers' Predictions via Topological Analysis of the Attention Matrices Elizaveta Kostenok D. Cherniavskii Alexey Zaytsev 56 5 0 22 Aug 2023
ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography H. Vaseli A. Gu Ahmadi Amiri Michael Y. Tsang A. Fung Nima Kondori Armin Saadat Purang Abolmaesumi T. Tsang 36 12 0 26 Jul 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 45 82 0 19 May 2023
Probing the Purview of Neural Networks via Gradient Analysis Jinsol Lee Charles Lehman Mohit Prabhushankar Ghassan AlRegib 29 7 0 06 Apr 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
WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis Yiye Chen Yunzhi Lin Ruinian Xu Patricio A. Vela OODD 32 3 0 14 Mar 2023
A Scalable and Efficient Iterative Method for Copying Machine Learning Classifiers N. Statuto Irene Unceta Jordi Nin O. Pujol 27 0 0 06 Feb 2023
KL Regularized Normalization Framework for Low Resource Tasks Neeraj Kumar Ankur Narang Brejesh Lall 26 1 0 21 Dec 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 26 35 0 28 Nov 2022
Delving into Out-of-Distribution Detection with Vision-Language Representations Yifei Ming Ziyan Cai Jiuxiang Gu Yiyou Sun W. Li Yixuan Li VLM OODD 52 157 0 24 Nov 2022
Interpreting deep learning output for out-of-distribution detection Damian J. Matuszewski I. Sintorn OODD 32 1 0 07 Nov 2022
Sequential Ensembling for Semantic Segmentation Rawal Khirodkar Brandon A. Smith Siddhartha Chandra Amit Agrawal A. Criminisi 29 2 0 08 Oct 2022
Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects Kira Maag Robin Shing Moon Chan Svenja Uhlemeyer K. Kowol Hanno Gottschalk 37 19 0 05 Oct 2022
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models Chen Liang Wenguan Wang Jiaxu Miao Yi Yang VLM 39 117 0 05 Oct 2022
GAPX: Generalized Autoregressive Paraphrase-Identification X Yi Zhou Renyu Li Hayden Housen Ser-Nam Lim BDL 27 0 0 05 Oct 2022
Towards Improving Calibration in Object Detection Under Domain Shift Muhammad Akhtar Munir M. H. Khan M. Sarfraz Mohsen Ali 19 22 0 15 Sep 2022
Open Long-Tailed Recognition in a Dynamic World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu VLM 43 18 0 17 Aug 2022
Instance-Aware Observer Network for Out-of-Distribution Object Segmentation Victor Besnier Andrei Bursuc David Picard Alexandre Briot 39 1 0 18 Jul 2022
Towards out of distribution generalization for problems in mechanics Lingxiao Yuan Harold S. Park Emma Lejeune OOD AI4CE 36 17 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 33 4 0 28 Jun 2022
Gradient-Based Adversarial and Out-of-Distribution Detection Jinsol Lee Mohit Prabhushankar Ghassan AlRegib UQCV 34 13 0 16 Jun 2022
The Devil is in the Labels: Noisy Label Correction for Robust Scene Graph Generation Lin Li Long Chen Yifeng Huang Zhimeng Zhang Songyang Zhang Jun Xiao NoLa 31 72 0 07 Jun 2022
Boosting Facial Expression Recognition by A Semi-Supervised Progressive Teacher Jing Jiang Weihong Deng 29 23 0 28 May 2022
Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcare Marissa Radensky Dustin Burson Rajya Bhaiya Daniel S. Weld 24 0 0 27 Apr 2022
Few-shot Learning with Noisy Labels Kevin J Liang Samrudhdhi B. Rangrej Vladan Petrovic Tal Hassner NoLa 22 47 0 12 Apr 2022
Expanding Low-Density Latent Regions for Open-Set Object Detection Jiaming Han Yuqiang Ren Jian Ding Xingjia Pan Ke Yan Guisong Xia ObjD 40 59 0 28 Mar 2022
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration R. Hebbalaguppe Jatin Prakash Neelabh Madan Chetan Arora UQCV 25 42 0 25 Mar 2022
GOSS: Towards Generalized Open-set Semantic Segmentation Jie Hong Weihong Li Junlin Han Jiyang Zheng Pengfei Fang Mehrtash Harandi L. Petersson VLM 27 19 0 23 Mar 2022
Learning Confidence for Transformer-based Neural Machine Translation Yu Lu Jiali Zeng Jiajun Zhang Shuangzhi Wu Mu Li 36 9 0 22 Mar 2022
How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection? Yifei Ming Yiyou Sun Ousmane Amadou Dia Yixuan Li OODD 26 95 0 08 Mar 2022
Reducing Overconfidence Predictions for Autonomous Driving Perception Gledson Melotti C. Premebida Jordan J. Bird Diego Resende Faria Nuno Gonccalves 16 7 0 16 Feb 2022
Out-of-distribution Detection with Boundary Aware Learning Sen Pei Xin Zhang Bin Fan Gaofeng Meng OODD 21 8 0 22 Dec 2021
WOOD: Wasserstein-based Out-of-Distribution Detection Yinan Wang Wenbo Sun Jionghua Jin Zhen Kong Xiaowei Yue OODD 20 8 0 13 Dec 2021
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures Dan Hendrycks Andy Zou Mantas Mazeika Leonard Tang Bo-wen Li D. Song Jacob Steinhardt UQCV 23 137 0 09 Dec 2021
Probabilistic Approach for Road-Users Detection Gledson Melotti Weihao Lu Pedro Conde Dezong Zhao A. Asvadi Nuno Gonçalves C. Premebida 27 2 0 02 Dec 2021
Label-Free Model Evaluation with Semi-Structured Dataset Representations Xiaoxiao Sun Yunzhong Hou Hongdong Li Liang Zheng 13 11 0 01 Dec 2021
Teaching Humans When To Defer to a Classifier via Exemplars Hussein Mozannar Arvindmani Satyanarayan David Sontag 36 43 0 22 Nov 2021
Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration Wenhao Li Qisen Xu Chuyun Shen Bin Hu Fengping Zhu Yuxin Li Bo Jin Xiangfeng Wang 30 5 0 15 Nov 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 188 879 0 21 Oct 2021