The Extreme Value Machine

19 June 2015

Terrance E. Boult

Papers citing "The Extreme Value Machine"

48 / 48 papers shown

Title
On the Learning with Augmented Class via Forests Fan Xu Wuyang Chen Wei Gao 34 0 0 14 May 2025
Human Activity Recognition in an Open World D. Prijatelj Samuel Grieggs Jin Huang Dawei Du Ameya Shringi Christopher Funk Adam Kaufman Eric Robertson Walter J. Scheirer University of Notre Dame 80 3 0 17 Jan 2025
M-Tuning: Prompt Tuning with Mitigated Label Bias in Open-Set Scenarios Ning Liao Xiaopeng Zhang Minglu Cao Junchi Yan VPVLM VLM 74 0 0 31 Dec 2024
Open World Object Detection: A Survey Yiming Li Yi Wang Wenqian Wang Dan Lin Bingbing Li Kim-Hui Yap ObjD 50 0 0 15 Oct 2024
AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems Clara Punzi Roberto Pellungrini Mattia Setzu F. Giannotti D. Pedreschi 25 5 0 09 Feb 2024
Managing the unknown: a survey on Open Set Recognition and tangential areas Marcos Barcina-Blanco J. Lobo Pablo Garcia-Bringas Javier Del Ser VLM 44 2 0 14 Dec 2023
torchosr -- a PyTorch extension package for Open Set Recognition models evaluation in Python Joanna Komorniczak Pawel Ksieniewicz 3DV 12 3 0 16 May 2023
MDENet: Multi-modal Dual-embedding Networks for Malware Open-set Recognition Jingcai Guo Yuanyuan Xu Wenchao Xu Yufeng Zhan Yuxia Sun Song Guo 50 12 0 02 May 2023
Glocal Energy-based Learning for Few-Shot Open-Set Recognition Haoyu Wang Guansong Pang Peng Wang Lei Zhang Wei Wei Yanning Zhang 27 12 0 24 Apr 2023
Open-Set Face Identification on Few-Shot Gallery by Fine-Tuning Hojin Park Jaewoo Park Andrew Beng Jin Teoh CVBM 35 2 0 05 Jan 2023
Vocabulary-informed Zero-shot and Open-set Learning Yanwei Fu Xiaomei Wang Hanze Dong Yu-Gang Jiang Meng Wang Xiangyang Xue Leonid Sigal VLM 29 18 0 03 Jan 2023
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning Grégoire Petit Adrian Daniel Popescu Hugo Schindler David Picard Bertrand Delezoide CLL 32 113 0 23 Nov 2022
Regression modelling of spatiotemporal extreme U.S. wildfires via partially-interpretable neural networks J. Richards Raphael Huser 28 13 0 16 Aug 2022
A modeler's guide to extreme value software Léo R. Belzile Christophe Dutang P. Northrop Thomas Opitz 31 14 0 16 May 2022
Clustering by the Probability Distributions from Extreme Value Theory Sixiao Zheng Ke Fan Yanxi Hou Jianfeng Feng Yanwei Fu 21 5 0 20 Feb 2022
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 193 881 0 21 Oct 2021
A novel network training approach for open set image recognition Md Tahmid Hossaina S. Teng Guojun Lu Ferdous Sohel 26 0 0 27 Sep 2021
One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set Classification Jedrzej Kozerawski M. Turk VLM MQ 27 5 0 14 Sep 2021
A Survey on Open Set Recognition Atefeh Mahdavi Marco M. Carvalho BDL 29 35 0 18 Aug 2021
Bayesian Embeddings for Few-Shot Open World Recognition John Willes James Harrison Ali Harakeh Chelsea Finn Marco Pavone Steven Waslander BDL OffRL 27 18 0 29 Jul 2021
Learning Bounds for Open-Set Learning Zhen Fang Jie Lu Anjin Liu Feng Liu Guangquan Zhang 23 61 0 30 Jun 2021
Incremental Deep Neural Network Learning using Classification Confidence Thresholding Justin Leo Jugal Kalita CLL 24 15 0 21 Jun 2021
Handwriting Recognition with Novelty D. Prijatelj Samuel Grieggs Futoshi Yumoto Eric Robertson Walter J. Scheirer 34 1 0 13 May 2021
Towards Visual Semantics Fausto Giunchiglia L. Erculiani Andrea Passerini 22 16 0 26 Apr 2021
Deep Learning and Traffic Classification: Lessons learned from a commercial-grade dataset with hundreds of encrypted and zero-day applications Lixuan Yang A. Finamore Feng Jun Dario Rossi 22 46 0 07 Apr 2021
Collective Decision of One-vs-Rest Networks for Open Set Recognition Jaeyeon Jang Chang Ouk Kim 40 25 0 18 Mar 2021
Self-Supervised Features Improve Open-World Learning A. Dhamija T. Ahmad Jonathan Schwan Mohsen Jafarzadeh Chunchun Li Terrance E. Boult SSL 32 13 0 15 Feb 2021
Open-World Semi-Supervised Learning Kaidi Cao Maria Brbic J. Leskovec BDL 30 178 0 06 Feb 2021
Automatic Open-World Reliability Assessment Mohsen Jafarzadeh T. Ahmad A. Dhamija Chunchun Li Steve Cruz Terrance E. Boult 26 11 0 11 Nov 2020
Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly Detection Hao Fu A. Veldanda Prashanth Krishnamurthy S. Garg Farshad Khorrami AAML 38 14 0 04 Nov 2020
Appropriateness of Performance Indices for Imbalanced Data Classification: An Analysis S. S. Mullick Shounak Datta Sourish Gunesh Dhekane Swagatam Das 6 65 0 26 Aug 2020
Improving Face Recognition by Clustering Unlabeled Faces in the Wild Aruni RoyChowdhury Xiang Yu Kihyuk Sohn Erik Learned-Miller Manmohan Chandraker CVBM 25 19 0 14 Jul 2020
One-vs-Rest Network-based Deep Probability Model for Open Set Recognition Jaeyeon Jang Chang Ouk Kim UQCV 32 11 0 17 Apr 2020
Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning Paola Cascante-Bonilla Fuwen Tan Yanjun Qi Vicente Ordonez ODL 50 23 0 16 Jan 2020
Entropic Out-of-Distribution Detection David Macêdo T. I. Ren Cleber Zanchettin Adriano Oliveira Teresa B Ludermir OODD UQCV 25 32 0 15 Aug 2019
Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy Qing Yu Kiyoharu Aizawa OODD 19 164 0 14 Aug 2019
A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning Shahbaz Rezaei Xin Liu SILM AAML 33 46 0 08 Apr 2019
Deep CNN-based Multi-task Learning for Open-Set Recognition Poojan Oza Vishal M. Patel 24 35 0 07 Mar 2019
Integrating Propositional and Relational Label Side Information for Hierarchical Zero-Shot Image Classification Colin Samplawski H. Kwon Erik Learned-Miller Benjamin M. Marlin VLM 24 1 0 14 Feb 2019
Wireless Network Intelligence at the Edge Jihong Park S. Samarakoon M. Bennis Mérouane Debbah 23 518 0 07 Dec 2018
Recent Advances in Open Set Recognition: A Survey Chuanxing Geng Sheng-Jun Huang Songcan Chen BDL ObjD 59 759 0 21 Nov 2018
Towards Principled Uncertainty Estimation for Deep Neural Networks Richard E. Harang Ethan M. Rudd BDL UQCV 36 6 0 29 Oct 2018
Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers Apoorv Vyas Nataraj Jammalamadaka Xia Zhu Dipankar Das Bharat Kaul Theodore L. Willke OODD 27 247 0 04 Sep 2018
Memory Based Online Learning of Deep Representations from Video Streams F. Pernici F. Bartoli Matteo Bruni A. Bimbo CVBM 41 29 0 17 Nov 2017
Dropout Sampling for Robust Object Detection in Open-Set Conditions Dimity Miller Lachlan Nicholson Feras Dayoub Niko Sünderhauf BDL UQCV 39 233 0 18 Oct 2017
Vocabulary-informed Extreme Value Learning Yanwei Fu Hanze Dong Yu-Feng Ma Zhengjun Zhang Xiangyang Xue VLM 15 4 0 28 May 2017
Toward Open-Set Face Recognition Manuel Günther Steve Cruz Ethan M. Rudd Terrance E. Boult CVBM 38 78 0 03 May 2017
Open-Set Support Vector Machines Pedro Ribeiro Mendes Júnior Terrance E. Boult Jacques Wainer Anderson de Rezende Rocha VLM 23 18 0 13 Jun 2016