Non-Parametric Outlier Synthesis

6 March 2023

Leitian Tao

Papers citing "Non-Parametric Outlier Synthesis"

50 / 76 papers shown

Title
Graph Synthetic Out-of-Distribution Exposure with Large Language Models Haoyan Xu Zhengtao Yao Ziyi Wang Zhan Cheng Xiyang Hu Mengyuan Li Yue Zhao OODD 52 0 0 29 Apr 2025
Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection Brian K. S. Isaac-Medina T. Breckon OODD 150 0 0 25 Apr 2025
Enhancing Out-of-Distribution Detection with Extended Logit Normalization Yifan Ding Xixi Liu Jonas Unger Gabriel Eilertsen OODD 26 0 0 15 Apr 2025
EOOD: Entropy-based Out-of-distribution Detection Guide Yang Chao Hou Weilong Peng Xiang Fang Yongwei Nie Peican Zhu Keke Tang OODD 54 0 0 04 Apr 2025
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies Chen Xu Tony Nguyen Emma Dixon Christopher Rodriguez Patrick "Tree" Miller Robert Lee Paarth Shah Rares Ambrus Haruki Nishimura Masha Itkina OffRL 89 2 0 11 Mar 2025
AdaSCALE: Adaptive Scaling for OOD Detection Sudarshan Regmi OODD 54 0 0 11 Mar 2025
OpenEarthSensing: Large-Scale Fine-Grained Benchmark for Open-World Remote Sensing Xiang Xiang Zhuo Xu Yao Deng Qinhao Zhou Yifan Liang Ke Chen Qingfang Zheng Yaowei Wang Xilin Chen Wen Gao VLM 48 0 0 28 Feb 2025
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation Danny Wang Ruihong Qiu Guangdong Bai Zi Huang 110 0 0 09 Feb 2025
Concept Matching with Agent for Out-of-Distribution Detection YuXiao Lee Xiaofeng Cao Jingcai Guo Wei Ye Qing-Wu Guo Yi Chang 66 0 0 08 Jan 2025
Multi-layer Radial Basis Function Networks for Out-of-distribution Detection Amol Khanna Chenyi Ling Derek Everett Edward Raff Nathan Inkawhich OODD 30 0 0 05 Jan 2025
Going Beyond Conventional OOD Detection Sudarshan Regmi OODD 58 1 0 16 Nov 2024
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection Geng Yu Jianing Zhu Jiangchao Yao Bo Han OODD 48 0 0 05 Nov 2024
AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models Yabin Zhang L. Zhang VLM OODD 33 2 0 26 Oct 2024
What If the Input is Expanded in OOD Detection? Boxuan Zhang Jianing Zhu Zengmao Wang Tongliang Liu Bo Du Bo Han AAML OODD 26 0 0 24 Oct 2024
Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation Seulbi Lee J. Kim Sangheum Hwang LRM 130 0 0 19 Oct 2024
Process Reward Model with Q-Value Rankings W. Li Yixuan Li LRM 59 15 0 15 Oct 2024
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models Mengyuan Chen Junyu Gao Changsheng Xu VLM OODD 30 0 0 11 Oct 2024
VLMGuard: Defending VLMs against Malicious Prompts via Unlabeled Data Xuefeng Du Reshmi Ghosh Robert Sim Ahmed Salem Vitor Carvalho Emily Lawton Yixuan Li Jack W. Stokes VLM AAML 38 6 0 01 Oct 2024
Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image Detection Saehyung Lee J. Mok Sangha Park Yongho Shin Dahuin Jung Sungroh Yoon 25 0 0 30 Sep 2024
Recent Advances in OOD Detection: Problems and Approaches Shuo Lu YingSheng Wang Lijun Sheng Aihua Zheng Lingxiao He Jian Liang OODD 68 3 0 18 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
Can OOD Object Detectors Learn from Foundation Models? Jiahui Liu Xin Wen Shizhen Zhao Y. Chen Xiaojuan Qi OODD 40 2 0 08 Sep 2024
Out-of-Distribution Detection with Attention Head Masking for Multimodal Document Classification Christos Constantinou Georgios Ioannides Aman Chadha Aaron Elkins Edwin Simpson OODD 41 0 0 20 Aug 2024
Out-of-Distribution Learning with Human Feedback Haoyue Bai Xuefeng Du Katie Rainey Shibin Parameswaran Yixuan Li OODD 26 3 0 14 Aug 2024
Your Classifier Can Be Secretly a Likelihood-Based OOD Detector Jirayu Burapacheep Yixuan Li OODD 37 3 0 09 Aug 2024
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions Kai-Chun Liu Zhihang Fu Chao Chen Sheng Jin Ze Chen Mingyuan Tao Rongxin Jiang Jieping Ye VLM OODD 58 4 0 23 Jul 2024
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution Kai-Chun Liu Zhihang Fu Sheng Jin Chao Chen Ze Chen Rongxin Jiang Fan Zhou Yao-Shen Chen Jieping Ye OODD 46 0 0 23 Jul 2024
LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models Yabin Zhang Wenjie Zhu Chenhang He Lei Zhang VLM 47 7 0 12 Jul 2024
OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning Wenjun Miao Guansong Pang Trong-Tung Nguyen Ruohang Fang Jin Zheng Xiao Bai OODD 39 1 0 08 Jul 2024
Unveiling the Unknown: Conditional Evidence Decoupling for Unknown Rejection Zhaowei Wu Binyi Su Hua Zhang Zhong Zhou EDL 52 0 0 26 Jun 2024
SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation Yixia Li Boya Xiong Guanhua Chen Yun Chen OODD 35 2 0 18 Jun 2024
How Out-of-Distribution Detection Learning Theory Enhances Transformer: Learnability and Reliability Yijin Zhou Yuguang Wang Xiaowen Dong Yuguang Wang 48 0 0 13 Jun 2024
Zero-Shot Out-of-Distribution Detection with Outlier Label Exposure Choubo Ding Guansong Pang OODD VLM 30 3 0 03 Jun 2024
When and How Does In-Distribution Label Help Out-of-Distribution Detection? Xuefeng Du Yiyou Sun Yixuan Li 37 7 0 28 May 2024
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities Hao Dong Yue Zhao Eleni Chatzi Olga Fink OODD 37 11 0 27 May 2024
CLIPScope: Enhancing Zero-Shot OOD Detection with Bayesian Scoring Hao Fu Naman Patel Prashanth Krishnamurthy Farshad Khorrami OODD 26 4 0 23 May 2024
Energy-based Hopfield Boosting for Out-of-Distribution Detection Claus Hofmann Simon Schmid Bernhard Lehner Daniel Klotz Sepp Hochreiter OODD 45 8 0 14 May 2024
CLIP-driven Outliers Synthesis for few-shot OOD detection Hao Sun Rundong He Zhongyi Han Zhicong Lin Yongshun Gong Yilong Yin OODD 42 5 0 30 Mar 2024
Negative Label Guided OOD Detection with Pretrained Vision-Language Models Xue Jiang Feng Liu Zhengfeng Fang Hong Chen Tongliang Liu Feng Zheng Bo Han VLM 55 28 0 29 Mar 2024
Hyperbolic Metric Learning for Visual Outlier Detection Alvaro Gonzalez-Jimenez Simone Lionetti Dena Bazazian Philippe Gottfrois Fabian Gröger Marc Pouly Alexander A. Navarini 59 1 0 22 Mar 2024
Outlier detection by ensembling uncertainty with negative objectness Anja Delić Matej Grcić Sinisa Segvic UQCV 51 15 0 23 Feb 2024
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning Wei-Cheng Huang Chun-Fu Chen Hsiang Hsu VLM 20 11 0 06 Feb 2024
How Does Unlabeled Data Provably Help Out-of-Distribution Detection? Xuefeng Du Zhen Fang Ilias Diakonikolas Yixuan Li OODD 43 27 0 05 Feb 2024
Learning with Mixture of Prototypes for Out-of-Distribution Detection Haodong Lu Dong Gong Shuo Wang Jason Xue Lina Yao Kristen Moore OODD 58 22 0 05 Feb 2024
AI Art Neural Constellation: Revealing the Collective and Contrastive State of AI-Generated and Human Art Faizan Farooq Khan Diana Kim Divyansh Jha Youssef Mohamed Hanna Chang Ahmed Elgammal Luba Elliott Mohamed Elhoseiny 17 3 0 04 Feb 2024
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection Chao Chen Zhihang Fu Kai-Chun Liu Ze Chen Mingyuan Tao Jieping Ye OODD 33 3 0 04 Feb 2024
Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization Yuhang Zang Hanlin Goh Josh Susskind Chen Huang VLM 37 12 0 29 Jan 2024
ARGS: Alignment as Reward-Guided Search Maxim Khanov Jirayu Burapacheep Yixuan Li 35 44 0 23 Jan 2024
Fast Decision Boundary based Out-of-Distribution Detector Litian Liu Yao Qin OODD 15 12 0 15 Dec 2023
Likelihood-Aware Semantic Alignment for Full-Spectrum Out-of-Distribution Detection Fan Lu Kai Zhu Kecheng Zheng Wei Zhai Xuemiao Xu OODD 155 4 0 04 Dec 2023