Feature Space Singularity for Out-of-Distribution Detection

30 November 2020

Papers citing "Feature Space Singularity for Out-of-Distribution Detection"

43 / 43 papers shown

Title
ITP: Instance-Aware Test Pruning for Out-of-Distribution Detection Haonan Xu Yang Yang OODD 76 0 0 17 Dec 2024
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models Mengyuan Chen Junyu Gao Changsheng Xu VLM OODD 23 0 0 11 Oct 2024
Collaborative Knowledge Distillation via a Learning-by-Education Node Community Anestis Kaimakamidis Ioannis Mademlis Ioannis Pitas 18 0 0 30 Sep 2024
Proto-OOD: Enhancing OOD Object Detection with Prototype Feature Similarity Junkun Chen Jilin Mei Liang Chen Fangzhou Zhao Yu Hu Yu Hu ObjD 40 0 0 09 Sep 2024
FOOD: Facial Authentication and Out-of-Distribution Detection with Short-Range FMCW Radar Sabri Mustafa Kahya Boran Hamdi Sivrikaya Muhammet Sami Yavuz Eckehard Steinbach CVBM 21 2 0 06 Jun 2024
BadActs: A Universal Backdoor Defense in the Activation Space Biao Yi Sishuo Chen Yiming Li Tong Li Baolei Zhang Zheli Liu AAML 28 5 0 18 May 2024
Enhancing Out-of-Distribution Detection with Multitesting-based Layer-wise Feature Fusion Jiawei Li Sitong Li Shanshan Wang Yicheng Zeng Falong Tan Chuanlong Xie OODD 17 1 0 16 Mar 2024
Out-of-Distribution Detection using Neural Activation Prior Weilin Wan Weizhong Zhang Quan Zhou Fan Yi Cheng Jin OODD 25 0 0 28 Feb 2024
Out-of-Distribution Detection and Data Drift Monitoring using Statistical Process Control Ghada Zamzmi Kesavan Venkatesh Brandon Nelson Smriti Prathapan Paul H Yi B. Sahiner Jana G. Delfino OOD 11 0 0 12 Feb 2024
HAROOD: Human Activity Classification and Out-of-Distribution Detection with Short-Range FMCW Radar Sabri Mustafa Kahya Muhammet Sami Yavuz Eckehard G. Steinbach 25 4 0 14 Dec 2023
Deep Neural Networks Tend To Extrapolate Predictably Katie Kang Amrith Rajagopal Setlur Claire Tomlin Sergey Levine 15 0 0 02 Oct 2023
PatchBackdoor: Backdoor Attack against Deep Neural Networks without Model Modification Yizhen Yuan Rui Kong Shenghao Xie Yuanchun Li Yunxin Liu 11 7 0 22 Aug 2023
HOOD: Real-Time Human Presence and Out-of-Distribution Detection Using FMCW Radar Sabri Mustafa Kahya Muhammet Sami Yavuz Eckehard Steinbach 28 3 0 24 Jul 2023
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization Y. Liu Chris Xing Tian Haoliang Li Lei Ma Shiqi Wang UQCV 11 19 0 05 Jun 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 27 81 0 19 May 2023
SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection Jingyang Zhang Nathan Inkawhich Randolph Linderman R. Luley Yiran Chen H. Li OODD 14 1 0 25 Mar 2023
LINe: Out-of-Distribution Detection by Leveraging Important Neurons Yong Hyun Ahn Gyeong-Moon Park Seong Tae Kim OODD 105 31 0 24 Mar 2023
MCROOD: Multi-Class Radar Out-Of-Distribution Detection Sabri Mustafa Kahya Muhammet Sami Yavuz Eckehard Steinbach 6 9 0 10 Mar 2023
Reconstruction-based Out-of-Distribution Detection for Short-Range FMCW Radar Sabri Mustafa Kahya Muhammet Sami Yavuz Eckehard Steinbach OODD 11 7 0 27 Feb 2023
Unsupervised Layer-wise Score Aggregation for Textual OOD Detection Maxime Darrin Guillaume Staerman Eduardo Dadalto Camara Gomes Jackie CK Cheung Pablo Piantanida Pierre Colombo OODD 33 11 0 20 Feb 2023
Fine-Tuning Deteriorates General Textual Out-of-Distribution Detection by Distorting Task-Agnostic Features Sishuo Chen Wenkai Yang Xiaohan Bi Xu Sun OODD 11 13 0 30 Jan 2023
Interpretable Out-Of-Distribution Detection Using Pattern Identification Romain Xu-Darme Julien Girard-Satabin Darryl Hond Gabriele Incorvaia Zakaria Chihani OODD 6 3 0 24 Jan 2023
Rainproof: An Umbrella To Shield Text Generators From Out-Of-Distribution Data Maxime Darrin Pablo Piantanida Pierre Colombo OODD 24 12 0 18 Dec 2022
Watermarking for Out-of-distribution Detection Qizhou Wang Feng Liu Yonggang Zhang Jing Zhang Chen Gong Tongliang Liu Bo Han OODD 6 31 0 27 Oct 2022
Expose Backdoors on the Way: A Feature-Based Efficient Defense against Textual Backdoor Attacks Sishuo Chen Wenkai Yang Zhiyuan Zhang Xiaohan Bi Xu Sun SILM AAML 13 23 0 14 Oct 2022
Holistic Sentence Embeddings for Better Out-of-Distribution Detection Sishuo Chen Xiaohan Bi Rundong Gao Xu Sun OODD 6 4 0 14 Oct 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
Out-of-Distribution Detection with Semantic Mismatch under Masking Yijun Yang Ruiyuan Gao Qiang Xu OODD 14 27 0 31 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 15 7 0 23 Jul 2022
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation Mehmet Özgür Türkoglu Alexander Becker H. Gündüz Mina Rezaei Bernd Bischl Rodrigo Caye Daudt Stefano Dáronco Jan Dirk Wegner Konrad Schindler FedML UQCV 30 25 0 31 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 20 27 0 11 May 2022
Learning by Erasing: Conditional Entropy based Transferable Out-Of-Distribution Detection Meng Xing Zhiyong Feng Yong Su Changjae Oh OODD 13 2 0 23 Apr 2022
A Continual Learning Framework for Adaptive Defect Classification and Inspection Wenbo Sun Raed Al Kontar Judy Jin Tzyy-Shuh Chang 10 10 0 16 Mar 2022
The Familiarity Hypothesis: Explaining the Behavior of Deep Open Set Methods Thomas G. Dietterich Alexander Guyer 11 38 0 04 Mar 2022
Hyperdimensional Feature Fusion for Out-Of-Distribution Detection Samuel Wilson Tobias Fischer Niko Sünderhauf Feras Dayoub OODD 14 16 0 10 Dec 2021
CVAD: A generic medical anomaly detector based on Cascade VAE Xiaoyuan Guo J. Gichoya S. Purkayastha Imon Banerjee OODD 11 8 0 29 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 171 870 0 21 Oct 2021
Meta Learning Low Rank Covariance Factors for Energy-Based Deterministic Uncertainty Jeffrey Willette Haebeom Lee Juho Lee Sung Ju Hwang OODD OOD 25 1 0 12 Oct 2021
Harnessing Unrecognizable Faces for Improving Face Recognition Siqi Deng Yuanjun Xiong Meng Wang Wei Xia Stefano Soatto CVBM 13 11 0 08 Jun 2021
Deep Deterministic Uncertainty: A Simple Baseline Jishnu Mukhoti Andreas Kirsch Joost R. van Amersfoort Philip H. S. Torr Y. Gal UD UQCV PER BDL 8 144 0 23 Feb 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 261 10,196 0 16 Nov 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015