Title
Fewer Tokens, Greater Scaling: Self-Adaptive Visual Bases for Efficient and Expansive Representation Learning Shawn Young Xingyu Zeng Lijian Xu VLM 68 0 0 24 Nov 2025
CroTad: A Contrastive Reinforcement Learning Framework for Online Trajectory Anomaly Detection Rui Xue Dan He Fengmei Jin Chen Zhang Xiaofang Zhou 44 0 0 21 Nov 2025
Automatic Grid Updates for Kolmogorov-Arnold Networks using Layer Histograms Jamison Moody James Usevitch 141 0 0 11 Nov 2025
Mysteries of the Deep: Role of Intermediate Representations in Out of Distribution Detection I. M. De la Jara C. Rodriguez-Opazo D. Teney D. Ranasinghe E. Abbasnejad OODD 287 0 0 07 Oct 2025
"A 6 or a 9?": Ensemble Learning Through the Multiplicity of Performant Models and ExplanationsACM Transactions on Knowledge Discovery from Data (TKDD), 2025 Gianlucca L. Zuin Adriano Veloso 151 0 0 11 Sep 2025
DCV-ROOD Evaluation Framework: Dual Cross-Validation for Robust Out-of-Distribution Detection Arantxa Urrea-Castaño Nicolás Segura-Kunsagi Juan Luis Suárez-Díaz Rosana Montes F. Herrera OODD 205 0 0 06 Sep 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 302 2 0 14 Jul 2025
Open-Set LiDAR Panoptic Segmentation Guided by Uncertainty-Aware Learning Rohit Mohan Julia Hindel F. Drews Claudius Gläser Daniele Cattaneo Abhinav Valada UQCV EDL 378 1 0 16 Jun 2025
Improving Wildlife Out-of-Distribution Detection: Africas Big Five Mufhumudzi Muthivhi Jiahao Huo Fredrik Gustafsson Terence L van Zyl OODD 132 1 0 07 Jun 2025
FRAMES-VQA: Benchmarking Fine-Tuning Robustness across Multi-Modal Shifts in Visual Question AnsweringComputer Vision and Pattern Recognition (CVPR), 2025 Chengyue Huang Brisa Maneechotesuwan Shivang Chopra Z. Kira AAML 228 4 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 392 0 0 04 Apr 2025
Out-of-Distribution Detection using Synthetic Data Generation Momin Abbas Muneeza Azmat R. Horesh Mikhail Yurochkin OODD 515 4 0 05 Feb 2025
Self-supervised Benchmark Lottery on ImageNet: Do Marginal Improvements Translate to Improvements on Similar Datasets?IEEE International Joint Conference on Neural Network (IJCNN), 2024 Utku Ozbulak Esla Timothy Anzaku Solha Kang W. D. Neve J. Vankerschaver 273 2 0 28 Jan 2025
Deep Active Learning in the Open World Tian Xie Jifan Zhang Haoyue Bai R. Nowak VLM 813 6 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 151 1 0 25 Sep 2024
FlowCon: Out-of-Distribution Detection using Flow-Based Contrastive Learning Saandeep Aathreya Shaun J. Canavan OODD 219 3 0 03 Jul 2024
Zero-Shot Out-of-Distribution Detection with Outlier Label Exposure Choubo Ding Guansong Pang OODD VLM 221 5 0 03 Jun 2024
Enhancing Near OOD Detection in Prompt Learning: Maximum Gains, Minimal Costs M. Jung He Zhao Joanna Dipnall Lan Du Lan Du VLM OODD 222 3 0 25 May 2024
A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective Jeng-Lin Li Chih-Fan Hsu Ming-Ching Chang Wei-Chao Chen OOD 224 2 0 20 Feb 2024
Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model SplittingInternational Conference on Machine Learning (ICML), 2023 Anthony Chen Huanrui Yang Yulu Gan Denis A. Gudovskiy Zhen Dong Haofan Wang Tomoyuki Okuno Yohei Nakata Kurt Keutzer Shanghang Zhang 172 4 0 14 Dec 2023
The unreasonable effectiveness of AI CADe polyp detectors to generalize to new countries Joel Shor H. Yamano Daisuke Tsurumaru Yotam Intrator Hiroki Kayama ... Kaho Kobayashi Eiji Oki Roman Goldenberg Ehud Rivlin Ichiro Takemasa CML 176 0 0 11 Dec 2023
NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly GenerationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Hao Dong Gaëtan Frusque Yue Zhao Eleni Chatzi Olga Fink AAML 224 17 0 20 Nov 2023
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution DetectionInternational Conference on Information and Knowledge Management (CIKM), 2023 Zhihao Ding Jieming Shi Shiqi Shen Xuequn Shang Jiannong Cao Zhipeng Wang Zhi Gong OODD OOD 179 6 0 16 Oct 2023
Environment-biased Feature Ranking for Novelty Detection Robustness Stefan Smeu Elena Burceanu Emanuela Haller Andrei Liviu Nicolicioiu OOD 265 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 511 2 0 06 Jun 2023
k-NNN: Nearest Neighbors of Neighbors for Anomaly Detection Ori Nizan A. Tal 129 11 0 28 May 2023
Out-of-Distribution Detection for Adaptive Computer VisionScandinavian Conference on Image Analysis (SCIA), 2023 S. Lind Rudolph Triebel Luigi Nardi V. Krüger OODD 101 3 0 16 May 2023
DEnsity: Open-domain Dialogue Evaluation Metric using Density EstimationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Yujin Baek Seungil Lee Daniel Rim Jaegul Choo 188 6 0 08 May 2023
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution LocalizationComputer Vision and Pattern Recognition (CVPR), 2023 Mingze Yuan Yingda Xia Hexin Dong Zi Chen Jiawen Yao ... Bin Dong Jing Zhou Le Lu Ling Zhang Li Zhang OOD MedIm 148 25 0 01 Apr 2023
Training, Architecture, and Prior for Deterministic Uncertainty Methods Bertrand Charpentier Chenxiang Zhang Stephan Günnemann UQCV OOD AI4CE 252 8 0 10 Mar 2023
Two-step counterfactual generation for OOD examples Nawid Keshtmand Raúl Santos-Rodríguez J. Lawry OODD CML 103 0 0 10 Feb 2023
Continuous Learning for Android Malware DetectionUSENIX Security Symposium (USENIX Security), 2023 Yizheng Chen Zhoujie Ding David Wagner 246 61 0 08 Feb 2023
Simplifying Open-Set Video Domain Adaptation with Contrastive LearningComputer Vision and Image Understanding (CVIU), 2023 Giacomo Zara Victor G. Turrisi da Costa Subhankar Roy Paolo Rota Elisa Ricci 176 4 0 09 Jan 2023
CRADL: Contrastive Representations for Unsupervised Anomaly Detection and Localization Carsten T. Lüth David Zimmerer Gregor Koehler Paul F. Jaeger Hyunjin Park Jens Petersen Klaus H. Maier-Hein UQCV MedIm 108 6 0 05 Jan 2023
GEDI: GEnerative and DIscriminative Training for Self-Supervised Learning Emanuele Sansone Robin Manhaeve SSL 370 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 312 7 0 24 Dec 2022
Reconstructing Humpty Dumpty: Multi-feature Graph Autoencoder for Open Set Action RecognitionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022 Dawei Du Ameya Shringi A. Hoogs Christopher Funk 133 3 0 12 Dec 2022
A Call to Reflect on Evaluation Practices for Failure Detection in Image ClassificationInternational Conference on Learning Representations (ICLR), 2022 Paul F. Jaeger Carsten T. Lüth Lukas Klein Till J. Bungert UQCV 282 43 0 28 Nov 2022
Delving into Out-of-Distribution Detection with Vision-Language RepresentationsNeural Information Processing Systems (NeurIPS), 2022 Yifei Ming Ziyan Cai Jiuxiang Gu Yiyou Sun W. Li Shouqing Yang VLM OODD 221 219 0 24 Nov 2022
Contrastive Classification and Representation Learning with Probabilistic InterpretationAAAI Conference on Artificial Intelligence (AAAI), 2022 Rahaf Aljundi Yash J. Patel Milan Šulc Daniel Olmeda N. Chumerin SSL 145 8 0 07 Nov 2022
Understanding the properties and limitations of contrastive learning for Out-of-Distribution detection Nawid Keshtmand Raúl Santos-Rodríguez J. Lawry SSL 145 2 0 06 Nov 2022
Watermarking for Out-of-distribution DetectionNeural Information Processing Systems (NeurIPS), 2022 Qizhou Wang Yifan Zhang Yonggang Zhang Jing Zhang Chen Gong Tongliang Liu Bo Han OODD 148 36 0 27 Oct 2022
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data ScarcityConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Dennis Ulmer J. Frellsen Christian Hardmeier 409 27 0 20 Oct 2022
Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer EnsembleConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Hyunsoo Cho Choonghyun Park Jaewoo Kang Kang Min Yoo Taeuk Kim Sang-goo Lee OODD 196 9 0 20 Oct 2022
Exploiting Mixed Unlabeled Data for Detecting Samples of Seen and Unseen Out-of-Distribution ClassesAAAI Conference on Artificial Intelligence (AAAI), 2022 Yifang Sun Wei Wang OODD 93 5 0 13 Oct 2022
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active LearningNeural Information Processing Systems (NeurIPS), 2022 Dongmin Park Yooju Shin Jihwan Bang Youngjune Lee Hwanjun Song Jae-Gil Lee 415 30 0 13 Oct 2022
Out-of-Distribution Detection and Selective Generation for Conditional Language ModelsInternational Conference on Learning Representations (ICLR), 2022 Jie Jessie Ren Jiaming Luo Yao-Min Zhao Kundan Krishna Mohammad Saleh Balaji Lakshminarayanan Peter J. Liu OODD 287 156 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 Juil Sock P. Dokania Ser-Nam Lim OODD 169 6 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 521 0 0 19 Sep 2022
Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification Randolph Linderman Jingyang Zhang Nathan Inkawhich Xue Yang Yiran Chen OODD 284 11 0 09 Sep 2022