{"total":166,"rows":[{"id":"2210.07242","title":"OpenOOD: Benchmarking Generalized Out-of-Distribution Detection","created":"2022-10-13","cited_by_count":268,"area":null},{"id":"2211.13445","title":"Delving into Out-of-Distribution Detection with Vision-Language Representations","created":"2022-11-24","cited_by_count":216,"area":null},{"id":"2209.09858","title":"Extremely Simple Activation Shaping for Out-of-Distribution Detection","created":"2022-09-20","cited_by_count":212,"area":null},{"id":"2306.09301","title":"OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection","created":"2023-06-15","cited_by_count":179,"area":null},{"id":"2306.01293","title":"LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning","created":"2023-06-02","cited_by_count":107,"area":null},{"id":"2309.13415","title":"Dream the Impossible: Outlier Imagination with Diffusion Models","created":"2023-09-23","cited_by_count":77,"area":"diffusion"},{"id":"2310.00227","title":"Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement","created":"2023-09-30","cited_by_count":77,"area":null},{"id":"2309.14888","title":"Nearest Neighbor Guidance for Out-of-Distribution Detection","created":"2023-09-26","cited_by_count":64,"area":null},{"id":"2312.11536","title":"Fast Decision Boundary based Out-of-Distribution Detector","created":"2023-12-15","cited_by_count":49,"area":null},{"id":"2310.06823","title":"NECO: NEural Collapse Based Out-of-distribution detection","created":"2023-10-10","cited_by_count":42,"area":null},{"id":"2402.03502","title":"How Does Unlabeled Data Provably Help Out-of-Distribution Detection?","created":"2024-02-05","cited_by_count":36,"area":null},{"id":"2407.21794","title":"Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey","created":"2024-07-31","cited_by_count":36,"area":"mllm"},{"id":"2303.13995","title":"LINe: Out-of-Distribution Detection by Leveraging Important Neurons","created":"2023-03-24","cited_by_count":34,"area":null},{"id":"2311.01479","title":"Detecting Out-of-Distribution Through the Lens of Neural Collapse","created":"2023-11-02","cited_by_count":34,"area":null},{"id":"2402.15374","title":"Outlier detection by ensembling uncertainty with negative objectness","created":"2024-02-23","cited_by_count":34,"area":null},{"id":"2208.02764","title":"OpenCon: Open-world Contrastive Learning","created":"2022-08-04","cited_by_count":33,"area":null},{"id":"2212.02295","title":"Block Selection Method for Using Feature Norm in Out-of-distribution Detection","created":"2022-12-05","cited_by_count":30,"area":null},{"id":"2305.13282","title":"Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection","created":"2023-05-22","cited_by_count":29,"area":null},{"id":"2306.02879","title":"Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization","created":"2023-06-05","cited_by_count":28,"area":null},{"id":"2302.02596","title":"Ten Lessons We Have Learned in the New \"Sparseland\": A Short Handbook for Sparse Neural Network Researchers","created":"2023-02-06","cited_by_count":25,"area":null},{"id":"2402.02949","title":"Kernel PCA for Out-of-Distribution Detection","created":"2024-02-05","cited_by_count":24,"area":null},{"id":"2402.17888","title":"ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection","created":"2024-02-27","cited_by_count":22,"area":null},{"id":"2405.11881","title":"Out-of-Distribution Detection with a Single Unconditional Diffusion Model","created":"2024-05-20","cited_by_count":22,"area":"diffusion"},{"id":"2308.00310","title":"GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients","created":"2023-08-01","cited_by_count":21,"area":null},{"id":"2412.06284","title":"Your Data Is Not Perfect: Towards Cross-Domain Out-of-Distribution Detection in Class-Imbalanced Data","created":"2024-12-09","cited_by_count":21,"area":null},{"id":"2308.10239","title":"From Global to Local: Multi-scale Out-of-distribution Detection","created":"2023-08-20","cited_by_count":18,"area":null},{"id":"2506.16330","title":"Reliable Few-shot Learning under Dual Noises","created":"2025-06-19","cited_by_count":17,"area":null},{"id":"2303.08010","title":"Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models","created":"2023-03-14","cited_by_count":16,"area":"inference"},{"id":"2306.02031","title":"DOS: Diverse Outlier Sampling for Out-of-Distribution Detection","created":"2023-06-03","cited_by_count":16,"area":null},{"id":"2306.03715","title":"Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability","created":"2023-06-06","cited_by_count":16,"area":null},{"id":"2302.11716","title":"VRA: Variational Rectified Activation for Out-of-distribution Detection","created":"2023-02-23","cited_by_count":15,"area":null},{"id":"2309.01488","title":"On the use of Mahalanobis distance for out-of-distribution detection with neural networks for medical imaging","created":"2023-09-04","cited_by_count":15,"area":null},{"id":"2310.02832","title":"Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness","created":"2023-10-04","cited_by_count":15,"area":null},{"id":"2303.12267","title":"AUTO: Adaptive Outlier Optimization for Test-Time OOD Detection","created":"2023-03-22","cited_by_count":13,"area":null},{"id":"2402.00865","title":"Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection","created":"2024-02-01","cited_by_count":13,"area":null},{"id":"2404.01775","title":"A noisy elephant in the room: Is your out-of-distribution detector robust to label noise?","created":"2024-04-02","cited_by_count":13,"area":null},{"id":"2404.12368","title":"Gradient-Regularized Out-of-Distribution Detection","created":"2024-04-18","cited_by_count":13,"area":null},{"id":"2405.14737","title":"CLIPScope: Enhancing Zero-Shot OOD Detection with Bayesian Scoring","created":"2024-05-23","cited_by_count":13,"area":null},{"id":"2410.08611","title":"Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models","created":"2024-10-11","cited_by_count":13,"area":"mllm"},{"id":"2412.13394","title":"Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation","created":"2024-12-18","cited_by_count":10,"area":null},{"id":"2303.06232","title":"MCROOD: Multi-Class Radar Out-Of-Distribution Detection","created":"2023-03-10","cited_by_count":9,"area":null},{"id":"2305.16966","title":"Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection","created":"2023-05-26","cited_by_count":9,"area":null},{"id":"2310.04724","title":"Activate and Reject: Towards Safe Domain Generalization under Category Shift","created":"2023-10-07","cited_by_count":9,"area":null},{"id":"2503.00325","title":"CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging","created":"2025-03-01","cited_by_count":9,"area":null},{"id":"2309.16220","title":"Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection in Medical Tabular Data","created":"2023-09-28","cited_by_count":8,"area":null},{"id":"2211.16778","title":"Rethinking Out-of-Distribution Detection From a Human-Centric Perspective","created":"2022-11-30","cited_by_count":7,"area":null},{"id":"2308.06072","title":"Out-of-Distribution Detection for Monocular Depth Estimation","created":"2023-08-11","cited_by_count":7,"area":null},{"id":"2405.11337","title":"A Unified Approach Towards Active Learning and Out-of-Distribution Detection","created":"2024-05-18","cited_by_count":7,"area":null},{"id":"2503.08023","title":"AdaSCALE: Adaptive Scaling for OOD Detection","created":"2025-03-11","cited_by_count":7,"area":null},{"id":"2407.16725","title":"Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions","created":"2024-07-23","cited_by_count":6,"area":"mllm"},{"id":"2307.07002","title":"Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks","created":"2023-07-13","cited_by_count":5,"area":null},{"id":"2307.09455","title":"Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained Transformers","created":"2023-07-18","cited_by_count":5,"area":null},{"id":"2310.18104","title":"Classifier-head Informed Feature Masking and Prototype-based Logit Smoothing for Out-of-Distribution Detection","created":"2023-10-27","cited_by_count":5,"area":null},{"id":"2411.10701","title":"Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection","created":"2024-11-16","cited_by_count":5,"area":"diffusion"},{"id":"2504.03342","title":"EOOD: Entropy-based Out-of-distribution Detection","created":"2025-04-04","cited_by_count":5,"area":null},{"id":"2510.10584","title":"Equipping Vision Foundation Model with Mixture of Experts for Out-of-Distribution Detection","created":"2025-10-12","cited_by_count":5,"area":"moe"},{"id":"2510.17131","title":"GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection","created":"2025-10-20","cited_by_count":5,"area":"diffusion"},{"id":"2308.02396","title":"HOOD: Real-Time Human Presence and Out-of-Distribution Detection Using FMCW Radar","created":"2023-07-24","cited_by_count":4,"area":null},{"id":"2310.00847","title":"Can Pre-trained Networks Detect Familiar Out-of-Distribution Data?","created":"2023-10-02","cited_by_count":4,"area":null},{"id":"2402.10062","title":"Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection","created":"2024-02-04","cited_by_count":4,"area":null},{"id":"2408.04851","title":"Your Classifier Can Be Secretly a Likelihood-Based OOD Detector","created":"2024-08-09","cited_by_count":4,"area":null},{"id":"2409.18235","title":"Visual Concept Networks: A Graph-Based Approach to Detecting Anomalous Data in Deep Neural Networks","created":"2024-09-26","cited_by_count":4,"area":null},{"id":"2410.07185","title":"Margin-bounded Confidence Scores for Out-of-Distribution Detection","created":"2024-09-22","cited_by_count":4,"area":null},{"id":"2410.18472","title":"What If the Input is Expanded in OOD Detection?","created":"2024-10-24","cited_by_count":4,"area":null},{"id":"2501.16718","title":"Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection","created":"2025-01-28","cited_by_count":4,"area":null},{"id":"2502.03323","title":"Out-of-Distribution Detection using Synthetic Data Generation","created":"2025-02-05","cited_by_count":4,"area":"synth"},{"id":"2503.14832","title":"H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection","created":"2025-03-19","cited_by_count":4,"area":null},{"id":"2506.14194","title":"An Information-Theoretic Framework for Feature Construction in Out-of-Distribution Detection","created":"2025-06-17","cited_by_count":4,"area":null},{"id":"2508.00350","title":"BOOD: Boundary-based Out-Of-Distribution Data Generation","created":"2025-08-01","cited_by_count":4,"area":"diffusion"},{"id":"2301.13012","title":"Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection","created":"2022-12-26","cited_by_count":3,"area":null},{"id":"2308.11480","title":"Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection","created":"2023-08-22","cited_by_count":3,"area":null},{"id":"2310.06085","title":"Quantile-based Maximum Likelihood Training for Outlier Detection","created":"2023-08-20","cited_by_count":3,"area":null},{"id":"2406.09867","title":"Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox","created":"2024-06-14","cited_by_count":3,"area":null},{"id":"2409.01175","title":"Logit Scaling for Out-of-Distribution Detection","created":"2024-09-02","cited_by_count":3,"area":null},{"id":"2409.12479","title":"Learning Multi-Manifold Embedding for Out-Of-Distribution Detection","created":"2024-09-19","cited_by_count":3,"area":null},{"id":"2409.18205","title":"Bridging OOD Detection and Generalization: A Graph-Theoretic View","created":"2024-09-26","cited_by_count":3,"area":null},{"id":"2412.05897","title":"Epistemic Uncertainty for Generated Image Detection","created":"2024-12-08","cited_by_count":3,"area":null},{"id":"2503.01691","title":"Open-Insect: Benchmarking Open-Set Recognition of Novel Species in Biodiversity Monitoring","created":"2025-03-03","cited_by_count":3,"area":null},{"id":"2507.10225","title":"Synthesizing Near-Boundary OOD Samples for Out-of-Distribution Detection","created":"2025-07-14","cited_by_count":3,"area":"mllm"},{"id":"2305.17797","title":"T2FNorm: Extremely Simple Scaled Train-time Feature Normalization for OOD Detection","created":"2023-05-28","cited_by_count":2,"area":null},{"id":"2306.03522","title":"A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection","created":"2023-06-06","cited_by_count":2,"area":null},{"id":"2401.08689","title":"NODI: Out-Of-Distribution Detection with Noise from Diffusion","created":"2024-01-13","cited_by_count":2,"area":null},{"id":"2402.18162","title":"Out-of-Distribution Detection using Neural Activation Prior","created":"2024-02-28","cited_by_count":2,"area":null},{"id":"2405.10350","title":"Monitizer: Automating Design and Evaluation of Neural Network Monitors","created":"2024-05-16","cited_by_count":2,"area":null},{"id":"2408.17337","title":"Evaluating Reliability in Medical DNNs: A Critical Analysis of Feature and Confidence-Based OOD Detection","created":"2024-08-30","cited_by_count":2,"area":null},{"id":"2410.08491","title":"Edge Case Detection in Automated Driving: Methods, Challenges, and Future Directions","created":"2024-10-11","cited_by_count":2,"area":null},{"id":"2501.08083","title":"Benchmarking Vision Foundation Models for Input Monitoring in Autonomous Driving","created":"2025-01-14","cited_by_count":2,"area":null},{"id":"2502.20668","title":"OpenEarthSensing: Large-Scale Fine-Grained Benchmark for Open-World Remote Sensing","created":"2025-02-28","cited_by_count":2,"area":null},{"id":"2505.16017","title":"GradPCA: Leveraging NTK Alignment for Reliable Out-of-Distribution Detection","created":"2025-05-21","cited_by_count":2,"area":null},{"id":"2505.23412","title":"Buffer-free Class-Incremental Learning with Out-of-Distribution Detection","created":"2025-05-29","cited_by_count":2,"area":null},{"id":"2506.06719","title":"Improving Wildlife Out-of-Distribution Detection: Africas Big Five","created":"2025-06-07","cited_by_count":2,"area":null},{"id":"2508.21695","title":"Activation Subspaces for Out-of-Distribution Detection","created":"2025-08-29","cited_by_count":2,"area":null},{"id":"2510.06505","title":"Medix: Out-of-Distribution Detection from Unlabeled Wild Data via Robust Gradient Statistics","created":"2025-10-07","cited_by_count":2,"area":null},{"id":"2512.01080","title":"Building Trustworthy AI for Materials Discovery: From Autonomous Laboratories to Z-scores","created":"2025-11-30","cited_by_count":2,"area":null},{"id":"2303.14531","title":"SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection","created":"2023-03-25","cited_by_count":1,"area":null},{"id":"2307.13069","title":"General-Purpose Multi-Modal OOD Detection Framework","created":"2023-07-24","cited_by_count":1,"area":null},{"id":"2310.08139","title":"DualAug: Exploiting Additional Heavy Augmentation with OOD Data Rejection","created":"2023-10-12","cited_by_count":1,"area":null},{"id":"2311.13959","title":"RankFeat&RankWeight: Rank-1 Feature/Weight Removal for Out-of-distribution Detection","created":"2023-11-23","cited_by_count":1,"area":null},{"id":"2311.14754","title":"ExCeL : Combined Extreme and Collective Logit Information for Enhancing Out-of-Distribution Detection","created":"2023-11-23","cited_by_count":1,"area":null},{"id":"2405.01662","title":"Out-of-distribution detection based on subspace projection of high-dimensional features output by the last convolutional layer","created":"2024-05-02","cited_by_count":1,"area":null}],"next_cursor":"100"}