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Energy-based Out-of-distribution Detection

8 October 2020

Papers citing "Energy-based Out-of-distribution Detection"

50 / 957 papers shown

Title
Legitimate ground-truth-free metrics for deep uncertainty classification scoringInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Arthur Pignet Chiara Regniez John Klein 377 2 0 30 Oct 2024
Dimensionality-induced information loss of outliers in deep neural networks Kazuki Uematsu Kosuke Haruki Taiji Suzuki Mitsuhiro Kimura Takahiro Takimoto Hideyuki Nakagawa 201 0 0 29 Oct 2024
Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution AdaptationNeural Information Processing Systems (NeurIPS), 2024 Wenjun Miao Guansong Pang Jin Zheng Xiao Bai OODD 326 4 0 28 Oct 2024
PViT: Prior-augmented Vision Transformer for Out-of-distribution Detection Tianhao Zhang Zhixiang Chen Lyudmila Mihaylova 703 3 0 27 Oct 2024
AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language ModelsNeural Information Processing Systems (NeurIPS), 2024 Yabin Zhang Guang Dai VLM OODD 201 14 0 26 Oct 2024
What If the Input is Expanded in OOD Detection?Neural Information Processing Systems (NeurIPS), 2024 Boxuan Zhang Jianing Zhu Zengmao Wang Tongliang Liu Bo Du Bo Han AAML OODD 331 7 0 24 Oct 2024
A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators Han Zhou Jordy Van Landeghem Teodora Popordanoska Matthew B. Blaschko 556 5 0 20 Oct 2024
Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation Seulbi Lee J. Kim Sangheum Hwang LRM 966 3 0 19 Oct 2024
What's New in My Data? Novelty Exploration via Contrastive GenerationInternational Conference on Learning Representations (ICLR), 2024 Masaru Isonuma Ivan Titov 206 0 0 18 Oct 2024
Latent Space Chain-of-Embedding Enables Output-free LLM Self-EvaluationInternational Conference on Learning Representations (ICLR), 2024 Yiming Wang Pei Zhang Baosong Yang Yang Li Rui Wang LRM 346 31 0 17 Oct 2024
ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic InterpretabilityInternational Conference on Learning Representations (ICLR), 2024 Zhongxiang Sun Xiaoxue Zang Kai Zheng Yang Song Jun Xu Xiao Zhang Weijie Yu Yang Song Han Li 279 55 0 15 Oct 2024
FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and DetectionNeural Information Processing Systems (NeurIPS), 2024 Xinting Liao Weiming Liu Pengyang Zhou Fengyuan Yu Jiahe Xu Jun Wang Wenjie Wang Chaochao Chen Xiaolin Zheng FedML OODD 308 14 0 15 Oct 2024
Process Reward Model with Q-Value RankingsInternational Conference on Learning Representations (ICLR), 2024 W. Li Yixuan Li LRM 578 58 0 15 Oct 2024
RICASSO: Reinforced Imbalance Learning with Class-Aware Self-Supervised Outliers Exposure Wei Wei Sin Chee Chin Tingxuan Gao Wenming Yang 343 0 0 14 Oct 2024
COME: Test-time adaption by Conservatively Minimizing EntropyInternational Conference on Learning Representations (ICLR), 2024 Qingyang Zhang Yatao Bian Xinke Kong Peilin Zhao Changqing Zhang OOD TTA 801 13 0 12 Oct 2024
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language ModelsNeural Information Processing Systems (NeurIPS), 2024 Mengyuan Chen Junyu Gao Changsheng Xu VLM OODD 320 12 0 11 Oct 2024
A Systematic Review of Edge Case Detection in Automated Driving: Methods, Challenges and Future Directions Saeed Rahmani Sabine Rieder Erwin de Gelder Marcel Sonntag Jorge Lorente Mallada Sytze Kalisvaart Vahid Hashemi Simeon C. Calvert 268 2 0 11 Oct 2024
Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 Zhuohang Li Jiaxin Zhang Chao Yan Kamalika Das Sricharan Kumar Murat Kantarcioglu Sricharan Kumar RALM 196 2 0 10 Oct 2024
AHA: Human-Assisted Out-of-Distribution Generalization and DetectionNeural Information Processing Systems (NeurIPS), 2024 Haoyue Bai Jifan Zhang Robert Nowak 422 8 0 10 Oct 2024
Adaptive Label Smoothing for Out-of-Distribution Detection Mingle Xu Jaehwan Lee Sook Yoon D. Park OODD 149 2 0 08 Oct 2024
Continuous Contrastive Learning for Long-Tailed Semi-Supervised RecognitionNeural Information Processing Systems (NeurIPS), 2024 Zi-Hao Zhou Siyuan Fang Zi-Jing Zhou Tong Wei Yuanyu Wan Min-Ling Zhang 198 9 0 08 Oct 2024
Out-of-Distribution Detection with Relative Angles Berker Demirel Marco Fumero Francesco Locatello 340 0 0 06 Oct 2024
Multi-Robot Motion Planning with Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2024 Yorai Shaoul Itamar Mishani Shivam Vats Jiaoyang Li Maxim Likhachev DiffM 413 14 0 04 Oct 2024
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors Shuangpeng Han Mengmi Zhang 879 0 0 03 Oct 2024
Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models Shuoyuan Wang Shouqing Yang Jianguo Huang VLM 495 4 0 03 Oct 2024
Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image DetectionNeural Information Processing Systems (NeurIPS), 2024 Saehyung Lee J. Mok Sangha Park Yongho Shin Dahuin Jung Sungroh Yoon 222 0 0 30 Sep 2024
Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category DiscoveryNeural Information Processing Systems (NeurIPS), 2024 Haonan Lin Wenbin An Jiahao Wang Yan Chen Feng Tian Mengmeng Wang Guang Dai Qianying Wang Jingdong Wang 262 4 0 29 Sep 2024
Visual Concept Networks: A Graph-Based Approach to Detecting Anomalous Data in Deep Neural NetworksInternational Conferences on Pattern Recognition and Artificial Intelligence (ICCPRAI), 2024 Debargha Ganguly Debayan Gupta Vipin Chaudhary GNN 170 1 0 26 Sep 2024
Bridging OOD Detection and Generalization: A Graph-Theoretic ViewNeural Information Processing Systems (NeurIPS), 2024 Han Wang Yixuan Li CML 278 2 0 26 Sep 2024
VL4AD: Vision-Language Models Improve Pixel-wise Anomaly Detection Liangyu Zhong Joachim Sicking Fabian Hüger Hanno Gottschalk VLM 212 0 0 25 Sep 2024
Scalable Ensemble Diversification for OOD Generalization and Detection Alexander Rubinstein Luca Scimeca Damien Teney Seong Joon Oh BDL OOD 1.0K 2 0 25 Sep 2024
Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehicles Tongfei Guo Rui Liu Lili Su 275 4 0 25 Sep 2024
Margin-bounded Confidence Scores for Out-of-Distribution DetectionIndustrial Conference on Data Mining (IDM), 2024 L. Tamang Mohamed Reda Bouadjenek Richard Dazeley Sunil Aryal OODD 209 2 0 22 Sep 2024
Learning Multi-Manifold Embedding for Out-Of-Distribution Detection Jeng-Lin Li Ming-Ching Chang Wei-Chao Chen OODD 140 2 0 19 Sep 2024
Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances Shuo Lu YingSheng Wang Lijun Sheng Lingxiao He A. Zheng Jian Liang OODD 518 7 0 18 Sep 2024
Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental LearningEuropean Conference on Computer Vision (ECCV), 2024 Min-Yeong Park Jae-Ho Lee Gyeong-Moon Park CLL 284 52 0 17 Sep 2024
Uncertainty-Guided Appearance-Motion Association Network for Out-of-Distribution Action DetectionConference on Multimedia Information Processing and Retrieval (MIPR), 2024 Xiang Fang Arvind Easwaran B. Genest 354 7 0 16 Sep 2024
Competency-Aware Planning for Probabilistically Safe Navigation Under Perception Uncertainty Sara Pohland Claire Tomlin 492 0 0 09 Sep 2024
Can OOD Object Detectors Learn from Foundation Models?European Conference on Computer Vision (ECCV), 2024 Jiahui Liu Xin Wen Shizhen Zhao Yukang Chen Xiaojuan Qi OODD 281 11 0 08 Sep 2024
MILE: A Mutation Testing Framework of In-Context Learning SystemsInternational Symposium on Software Engineering: Theories, Tools, and Applications (ISSETTA), 2024 Zeming Wei Yihao Zhang Meng Sun 229 1 0 07 Sep 2024
LoGex: Improved tail detection of extremely rare histopathology classes via guided diffusion Maximilian Mueller Matthias Hein MedIm 341 0 0 02 Sep 2024
Logit Scaling for Out-of-Distribution DetectionMachine Vision and Applications (MVA), 2024 Andrija Djurisic Rosanne Liu Mladen Nikolic OODD 220 2 0 02 Sep 2024
Adapting Vision-Language Models to Open Classes via Test-Time Prompt TuningChinese Conference on Pattern Recognition and Computer Vision (CPRCV), 2024 Zhengqing Gao Xiang Ao Xu-Yao Zhang Cheng-Lin Liu VLM VPVLM 279 1 0 29 Aug 2024
Hierarchical Visual Categories Modeling: A Joint Representation Learning and Density Estimation Framework for Out-of-Distribution DetectionIEEE International Conference on Computer Vision (ICCV), 2023 Jinglun Li Xinyu Zhou Pinxue Guo Yixuan Sun Yiwen Huang Weifeng Ge Wenqiang Zhang 208 5 0 28 Aug 2024
LRP4RAG: Detecting Hallucinations in Retrieval-Augmented Generation via Layer-wise Relevance Propagation Haichuan Hu Yuhan Sun Xiaochen Xie Quanjun Zhang 343 12 0 28 Aug 2024
Diffusion based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution DetectionAAAI Conference on Artificial Intelligence (AAAI), 2024 Suhee Yoon Sanghyu Yoon Ye Seul Sim Sungik Choi Kyungeun Lee Hye-Seung Cho Hankook Lee Woohyung Lim 238 1 0 27 Aug 2024
Online Continuous Generalized Category DiscoveryEuropean Conference on Computer Vision (ECCV), 2024 Keon-Hee Park Hakyung Lee Kyungwoo Song Gyeong-Moon Park CLL BDL 281 4 0 24 Aug 2024
Out-of-Distribution Detection with Attention Head Masking for Multimodal Document Classification Christos Constantinou Georgios Ioannides Vasu Sharma Aaron Elkins Edwin Simpson OODD 154 1 0 20 Aug 2024
On the Potential of Open-Vocabulary Models for Object Detection in Unusual Street Scenes Sadia Ilyas Ido Freeman Matthias Rottmann ObjD 296 6 0 20 Aug 2024
Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learning Dong Geun Shin Hye Won Chung OODD 328 3 0 20 Aug 2024