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2011.14654
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Feature Space Singularity for Out-of-Distribution Detection
30 November 2020
Haiwen Huang
Zhihan Li
Lulu Wang
Sishuo Chen
Bin Dong
Xinyu Zhou
OODD
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Papers citing
"Feature Space Singularity for Out-of-Distribution Detection"
44 / 44 papers shown
Latent space analysis and generalization to out-of-distribution data
Katie Rainey
Erin Hausmann
D. Waagen
David Gray
D. Hulsey
256
0
0
19 Nov 2025
Synthesizing Near-Boundary OOD Samples for Out-of-Distribution Detection
Jinglun Li
Kaixun Jiang
Zhaoyu Chen
Bo Lin
Yao Tang
Weifeng Ge
Wenqiang Zhang
OODD
384
7
0
14 Jul 2025
FARE: A Deep Learning-Based Framework for Radar-based Face Recognition and Out-of-distribution Detection
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
Sabri Mustafa Kahya
Boran Hamdi Sivrikaya
Muhammet Sami Yavuz
Eckehard Steinbach
CVBM
176
0
0
14 Jan 2025
ITP: Instance-Aware Test Pruning for Out-of-Distribution Detection
AAAI Conference on Artificial Intelligence (AAAI), 2024
Haonan Xu
Yang Yang
OODD
306
3
0
17 Dec 2024
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models
Neural Information Processing Systems (NeurIPS), 2024
Mengyuan Chen
Junyu Gao
Changsheng Xu
VLM
OODD
404
14
0
11 Oct 2024
Collaborative Knowledge Distillation via a Learning-by-Education Node Community
Anestis Kaimakamidis
Ioannis Mademlis
Ioannis Pitas
425
2
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
483
3
0
09 Sep 2024
FOOD: Facial Authentication and Out-of-Distribution Detection with Short-Range FMCW Radar
International Conference on Information Photonics (ICIP), 2024
Sabri Mustafa Kahya
Boran Hamdi Sivrikaya
Muhammet Sami Yavuz
Eckehard Steinbach
CVBM
221
3
0
06 Jun 2024
BadActs: A Universal Backdoor Defense in the Activation Space
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
Biao Yi
Sishuo Chen
Yiming Li
Tong Li
Baolei Zhang
Zheli Liu
AAML
220
25
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
278
1
0
16 Mar 2024
Out-of-Distribution Detection using Neural Activation Prior
Weilin Wan
Weizhong Zhang
Quan Zhou
Fan Yi
Cheng Jin
OODD
499
1
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
302
2
0
12 Feb 2024
HAROOD: Human Activity Classification and Out-of-Distribution Detection with Short-Range FMCW Radar
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Sabri Mustafa Kahya
Muhammet Sami Yavuz
Eckehard G. Steinbach
237
10
0
14 Dec 2023
Deep Neural Networks Tend To Extrapolate Predictably
International Conference on Learning Representations (ICLR), 2023
Katie Kang
Amrith Rajagopal Setlur
Claire Tomlin
Sergey Levine
255
0
0
02 Oct 2023
PatchBackdoor: Backdoor Attack against Deep Neural Networks without Model Modification
ACM Multimedia (ACM MM), 2023
Yizhen Yuan
Rui Kong
Shenghao Xie
Yan Liang
Yunxin Liu
155
14
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
534
10
0
24 Jul 2023
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization
International Conference on Learning Representations (ICLR), 2023
Zichen Liu
Chris Xing Tian
Haoliang Li
Lei Ma
Shiqi Wang
UQCV
366
28
0
05 Jun 2023
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation
Artificial Intelligence Review (AIR), 2023
Xiaowei Huang
Wenjie Ruan
Wei Huang
Gao Jin
Yizhen Dong
...
Sihao Wu
Peipei Xu
Dengyu Wu
André Freitas
Mustafa A. Mustafa
ALM
429
171
0
19 May 2023
SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection
Jingyang Zhang
Nathan Inkawhich
Randolph Linderman
R. Luley
Yiran Chen
Xue Yang
OODD
311
1
0
25 Mar 2023
LINe: Out-of-Distribution Detection by Leveraging Important Neurons
Computer Vision and Pattern Recognition (CVPR), 2023
Yong Hyun Ahn
Gyeong-Moon Park
Seong Tae Kim
OODD
417
48
0
24 Mar 2023
MCROOD: Multi-Class Radar Out-Of-Distribution Detection
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Sabri Mustafa Kahya
Muhammet Sami Yavuz
Eckehard Steinbach
170
13
0
10 Mar 2023
Reconstruction-based Out-of-Distribution Detection for Short-Range FMCW Radar
European Signal Processing Conference (EUSIPCO), 2023
Sabri Mustafa Kahya
Muhammet Sami Yavuz
Eckehard Steinbach
OODD
449
8
0
27 Feb 2023
Unsupervised Layer-wise Score Aggregation for Textual OOD Detection
AAAI Conference on Artificial Intelligence (AAAI), 2023
Maxime Darrin
Guillaume Staerman
Eduardo Dadalto Camara Gomes
Jackie CK Cheung
Pablo Piantanida
Pierre Colombo
OODD
728
17
0
20 Feb 2023
Fine-Tuning Deteriorates General Textual Out-of-Distribution Detection by Distorting Task-Agnostic Features
Findings (Findings), 2023
Sishuo Chen
Wenkai Yang
Xiaohan Bi
Xu Sun
OODD
250
16
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
282
5
0
24 Jan 2023
Rainproof: An Umbrella To Shield Text Generators From Out-Of-Distribution Data
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Maxime Darrin
Pablo Piantanida
Pierre Colombo
OODD
517
17
0
18 Dec 2022
Watermarking for Out-of-distribution Detection
Neural Information Processing Systems (NeurIPS), 2022
Qizhou Wang
Yifan Zhang
Yonggang Zhang
Jing Zhang
Chen Gong
Tongliang Liu
Bo Han
OODD
281
39
0
27 Oct 2022
Expose Backdoors on the Way: A Feature-Based Efficient Defense against Textual Backdoor Attacks
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Sishuo Chen
Wenkai Yang
Zhiyuan Zhang
Xiaohan Bi
Xu Sun
SILM
AAML
264
34
0
14 Oct 2022
Holistic Sentence Embeddings for Better Out-of-Distribution Detection
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Sishuo Chen
Xiaohan Bi
Rundong Gao
Xu Sun
OODD
258
6
0
14 Oct 2022
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection
IEEE International Conference on Computer Vision (ICCV), 2022
Samuel Wilson
Tobias Fischer
Feras Dayoub
Dimity Miller
Niko Sünderhauf
OODD
546
45
0
29 Aug 2022
Out-of-Distribution Detection with Semantic Mismatch under Masking
European Conference on Computer Vision (ECCV), 2022
Yijun Yang
Ruiyuan Gao
Qiang Xu
OODD
329
37
0
31 Jul 2022
3DOS: Towards 3D Open Set Learning -- Benchmarking and Understanding Semantic Novelty Detection on Point Clouds
Neural Information Processing Systems (NeurIPS), 2022
A. Alliegro
Francesco Cappio Borlino
Tatiana Tommasi
3DPC
3DV
390
12
0
23 Jul 2022
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation
Neural Information Processing Systems (NeurIPS), 2022
Mehmet Özgür Türkoglu
Alexander Becker
H. Gündüz
Mina Rezaei
B. Bischl
Rodrigo Caye Daudt
Stefano Dáronco
Jan Dirk Wegner
Konrad Schindler
FedML
UQCV
637
38
0
31 May 2022
Extensible Machine Learning for Encrypted Network Traffic Application Labeling via Uncertainty Quantification
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2022
Steven Jorgensen
J. Holodnak
Jensen Dempsey
Karla de Souza
Ananditha Raghunath
Vernon Rivet
N. Demoes
Andrés Alejos
Allan B. Wollaber
AAML
275
57
0
11 May 2022
Learning by Erasing: Conditional Entropy based Transferable Out-Of-Distribution Detection
AAAI Conference on Artificial Intelligence (AAAI), 2022
Meng Xing
Zhiyong Feng
Yong Su
Changjae Oh
OODD
230
5
0
23 Apr 2022
A Continual Learning Framework for Adaptive Defect Classification and Inspection
Journal of QualityTechnology (JQT), 2022
Wenbo Sun
Raed Al Kontar
Judy Jin
Tzyy-Shuh Chang
220
13
0
16 Mar 2022
The Familiarity Hypothesis: Explaining the Behavior of Deep Open Set Methods
Pattern Recognition (Pattern Recogn.), 2022
Thomas G. Dietterich
Alexander Guyer
569
46
0
04 Mar 2022
Hyperdimensional Feature Fusion for Out-Of-Distribution Detection
Samuel Wilson
Tobias Fischer
Niko Sünderhauf
Feras Dayoub
OODD
323
23
0
10 Dec 2021
CVAD: A generic medical anomaly detector based on Cascade VAE
Xiaoyuan Guo
J. Gichoya
S. Purkayastha
Imon Banerjee
OODD
344
10
0
29 Oct 2021
Generalized Out-of-Distribution Detection: A Survey
International Journal of Computer Vision (IJCV), 2021
Jingkang Yang
Kaiyang Zhou
Shouqing Yang
Ziwei Liu
925
1,329
0
21 Oct 2021
Meta Learning Low Rank Covariance Factors for Energy-Based Deterministic Uncertainty
International Conference on Learning Representations (ICLR), 2021
Jeffrey Willette
Haebeom Lee
Juho Lee
Sung Ju Hwang
OODD
OOD
289
2
0
12 Oct 2021
Harnessing Unrecognizable Faces for Improving Face Recognition
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Siqi Deng
Yuanjun Xiong
Meng Wang
Wei Xia
Stefano Soatto
CVBM
193
13
0
08 Jun 2021
Deep Deterministic Uncertainty: A Simple Baseline
Computer Vision and Pattern Recognition (CVPR), 2021
Jishnu Mukhoti
Andreas Kirsch
Joost R. van Amersfoort
Juil Sock
Y. Gal
UD
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577
236
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Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness
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Zi Lin
Shreyas Padhy
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17 Jun 2020
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