Title
Open-Set LiDAR Panoptic Segmentation Guided by Uncertainty-Aware Learning Rohit Mohan Julia Hindel F. Drews Claudius Gläser Daniele Cattaneo Abhinav Valada UQCV EDL 19 0 0 16 Jun 2025
Improving Wildlife Out-of-Distribution Detection: Africas Big Five Mufhumudzi Muthivhi Jiahao Huo Fredrik Gustafsson Terence L van Zyl OODD 7 0 0 07 Jun 2025
FRAMES-VQA: Benchmarking Fine-Tuning Robustness across Multi-Modal Shifts in Visual Question Answering Chengyue Huang Brisa Maneechotesuwan Shivang Chopra Z. Kira AAML 36 0 0 27 May 2025
EOOD: Entropy-based Out-of-distribution Detection Guide Yang Chao Hou Weilong Peng Xiang Fang Yongwei Nie Peican Zhu Keke Tang OODD 143 0 0 04 Apr 2025
Self-supervised Benchmark Lottery on ImageNet: Do Marginal Improvements Translate to Improvements on Similar Datasets? Utku Ozbulak Esla Timothy Anzaku Solha Kang W. D. Neve J. Vankerschaver 136 0 0 28 Jan 2025
Deep Active Learning in the Open World Tian Xie Jifan Zhang Haoyue Bai R. Nowak VLM 416 3 0 10 Nov 2024
MorphoSeg: An Uncertainty-Aware Deep Learning Method for Biomedical Segmentation of Complex Cellular Morphologies Tianhao Zhang Heather J. McCourty Berardo M. Sanchez-Tafolla Anton Nikolaev Lyudmila Mihaylova 71 0 0 25 Sep 2024
Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting Anthony Chen Huanrui Yang Yulu Gan Denis A. Gudovskiy Zhen Dong Haofan Wang Tomoyuki Okuno Yohei Nakata Kurt Keutzer Shanghang Zhang 67 3 0 14 Dec 2023
NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly Generation Hao Dong Gaëtan Frusque Yue Zhao Eleni Chatzi Olga Fink AAML 103 7 0 20 Nov 2023
Environment-biased Feature Ranking for Novelty Detection Robustness Stefan Smeu Elena Burceanu Emanuela Haller Andrei Liviu Nicolicioiu OOD 87 0 0 21 Sep 2023
A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection Eduardo Dadalto Camara Gomes Pierre Colombo Guillaume Staerman Nathan Noiry Pablo Piantanida OODD 397 2 0 06 Jun 2023
k-NNN: Nearest Neighbors of Neighbors for Anomaly Detection Ori Nizan A. Tal 43 7 0 28 May 2023
Out-of-Distribution Detection for Adaptive Computer Vision S. Lind Rudolph Triebel Luigi Nardi V. Krüger OODD 59 2 0 16 May 2023
DEnsity: Open-domain Dialogue Evaluation Metric using Density Estimation Yujin Baek Seungil Lee Daniel Rim Jaegul Choo 48 4 0 08 May 2023
Continuous Learning for Android Malware Detection Yizheng Chen Zhoujie Ding David Wagner 101 39 0 08 Feb 2023
Simplifying Open-Set Video Domain Adaptation with Contrastive Learning Giacomo Zara Victor G. Turrisi da Costa Subhankar Roy Paolo Rota Elisa Ricci 78 2 0 09 Jan 2023
CRADL: Contrastive Representations for Unsupervised Anomaly Detection and Localization Carsten T. Lüth David Zimmerer Gregor Koehler Paul F. Jaeger Fabian Isensee Jens Petersen Klaus H. Maier-Hein UQCV MedIm 44 4 0 05 Jan 2023
GEDI: GEnerative and DIscriminative Training for Self-Supervised Learning Emanuele Sansone Robin Manhaeve SSL 105 9 0 27 Dec 2022
Boosting Out-of-Distribution Detection with Multiple Pre-trained Models Feng Xue Zi He Chuanlong Xie Falong Tan Zhenguo Li OODD 123 7 0 24 Dec 2022
Reconstructing Humpty Dumpty: Multi-feature Graph Autoencoder for Open Set Action Recognition Dawei Du Ameya Shringi A. Hoogs Christopher Funk 62 3 0 12 Dec 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 128 174 0 24 Nov 2022
Understanding the properties and limitations of contrastive learning for Out-of-Distribution detection Nawid Keshtmand Raúl Santos-Rodríguez J. Lawry SSL 103 1 0 06 Nov 2022
Watermarking for Out-of-distribution Detection Qizhou Wang Feng Liu Yonggang Zhang Jing Zhang Chen Gong Tongliang Liu Bo Han OODD 88 32 0 27 Oct 2022
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity Dennis Ulmer J. Frellsen Christian Hardmeier 264 23 0 20 Oct 2022
Exploiting Mixed Unlabeled Data for Detecting Samples of Seen and Unseen Out-of-Distribution Classes Yifang Sun Wei Wang OODD 56 5 0 13 Oct 2022
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning Dongmin Park Yooju Shin Jihwan Bang Youngjune Lee Hwanjun Song Jae-Gil Lee 108 26 0 13 Oct 2022
Out-of-Distribution Detection and Selective Generation for Conditional Language Models Jie Jessie Ren Jiaming Luo Yao-Min Zhao Kundan Krishna Mohammad Saleh Balaji Lakshminarayanan Peter J. Liu OODD 129 114 0 30 Sep 2022
Raising the Bar on the Evaluation of Out-of-Distribution Detection Jishnu Mukhoti Tsung-Yu Lin Bor-Chun Chen Ashish Shah Philip Torr P. Dokania Ser-Nam Lim OODD 52 4 0 24 Sep 2022
Provably Uncertainty-Guided Universal Domain Adaptation Yifan Wang Lin Zhang Ran Song Paul L. Rosin Yibin Li Wei Emma Zhang OOD UQCV 153 0 0 19 Sep 2022
Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification Randolph Linderman Jingyang Zhang Nathan Inkawhich H. Li Yiran Chen OODD 175 7 0 09 Sep 2022
Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System Xin Li Yao Qiang Chengyin Li Sijia Liu D. Zhu OOD MedIm 70 4 0 09 Sep 2022
Probing Contextual Diversity for Dense Out-of-Distribution Detection Silvio Galesso M. A. Bravo Mehdi Naouar Thomas Brox 43 4 0 30 Aug 2022
The Value of Out-of-Distribution Data Ashwin De Silva Rahul Ramesh Carey E. Priebe Pratik Chaudhari Joshua T. Vogelstein OODD 91 12 0 23 Aug 2022
Exploiting Inter-Sample Affinity for Knowability-Aware Universal Domain Adaptation Yifan Wang Lin Zhang Ran Song Hongliang Li Lin Ma Wei Emma Zhang 124 6 0 19 Jul 2022
Class-Specific Semantic Reconstruction for Open Set Recognition Hongzhi Huang Yu Wang Qinghua Hu Mingg-Ming Cheng BDL 91 60 0 05 Jul 2022
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities Julian Bitterwolf Alexander Meinke Maximilian Augustin Matthias Hein OODD 112 27 0 20 Jun 2022
Dual Representation Learning for Out-of-Distribution Detection Zhilin Zhao LongBing Cao 73 3 0 19 Jun 2022
OOD Augmentation May Be at Odds with Open-Set Recognition Mohammad Azizmalayeri M. Rohban 68 9 0 09 Jun 2022
Anomaly Detection with Test Time Augmentation and Consistency Evaluation Haowei He Jiaye Teng Yang Yuan 17 2 0 06 Jun 2022
Fake It Till You Make It: Towards Accurate Near-Distribution Novelty Detection Hossein Mirzaei Mohammadreza Salehi Sajjad Shahabi E. Gavves Cees G. M. Snoek Mohammad Sabokrou M. Rohban OOD 72 6 0 28 May 2022
Robust and Efficient Medical Imaging with Self-Supervision Shekoofeh Azizi Laura J. Culp Jan Freyberg Basil Mustafa Sebastien Baur ... Geoffrey E. Hinton N. Houlsby Alan Karthikesalingam Mohammad Norouzi Vivek Natarajan OOD 127 61 0 19 May 2022
Evaluation Gaps in Machine Learning Practice Ben Hutchinson Negar Rostamzadeh Christina Greer Katherine A. Heller Vinodkumar Prabhakaran ELM 98 63 0 11 May 2022
Out-of-Distribution Detection with Deep Nearest Neighbors Yiyou Sun Yifei Ming Xiaojin Zhu Yixuan Li OODD 216 534 0 13 Apr 2022
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback Yuntao Bai Andy Jones Kamal Ndousse Amanda Askell Anna Chen ... Jack Clark Sam McCandlish C. Olah Benjamin Mann Jared Kaplan 260 2,630 0 12 Apr 2022
Self-Supervised Losses for One-Class Textual Anomaly Detection Kimberly T. Mai Toby O. Davies Lewis D. Griffin 71 7 0 12 Apr 2022
Open-set Recognition via Augmentation-based Similarity Learning Sepideh Esmaeilpour Lei Shu Bin Liu 44 3 0 24 Mar 2022
No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly Detection Mohamed Yousef Marcel R. Ackermann Unmesh Kurup Tom E. Bishop OODD OOD 95 3 0 19 Mar 2022
Is it all a cluster game? -- Exploring Out-of-Distribution Detection based on Clustering in the Embedding Space Poulami Sinhamahapatra Rajat Koner Karsten Roscher Stephan Günnemann OODD 28 5 0 16 Mar 2022
Igeood: An Information Geometry Approach to Out-of-Distribution Detection Eduardo Dadalto Camara Gomes F. Alberge Pierre Duhamel Pablo Piantanida OODD 178 29 0 15 Mar 2022
Model-agnostic out-of-distribution detection using combined statistical tests Federico Bergamin Pierre-Alexandre Mattei Jakob Drachmann Havtorn Hugo Senetaire Hugo Schmutz Lars Maaløe Søren Hauberg J. Frellsen OODD 87 19 0 02 Mar 2022