{"total":70,"rows":[{"id":"2312.11536","title":"Fast Decision Boundary based Out-of-Distribution Detector","created":"2023-12-15","cited_by_count":49,"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":"2409.11884","title":"Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances","created":"2024-09-18","cited_by_count":26,"area":null},{"id":"2402.02949","title":"Kernel PCA for Out-of-Distribution Detection","created":"2024-02-05","cited_by_count":24,"area":null},{"id":"2506.16330","title":"Reliable Few-shot Learning under Dual Noises","created":"2025-06-19","cited_by_count":17,"area":null},{"id":"2405.08766","title":"Energy-based Hopfield Boosting for Out-of-Distribution Detection","created":"2024-05-14","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":"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":"2408.04851","title":"Your Classifier Can Be Secretly a Likelihood-Based OOD Detector","created":"2024-08-09","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":"2506.09399","title":"Improving Out-of-Distribution Detection via Dynamic Covariance Calibration","created":"2025-06-11","cited_by_count":4,"area":null},{"id":"2510.15202","title":"A Geometry-Based View of Mahalanobis OOD Detection","created":"2025-10-17","cited_by_count":4,"area":null},{"id":"2409.01175","title":"Logit Scaling for Out-of-Distribution Detection","created":"2024-09-02","cited_by_count":3,"area":null},{"id":"2502.15901","title":"TS-OOD: Evaluating Time-Series Out-of-Distribution Detection and Prospective Directions for Progress","created":"2025-02-21","cited_by_count":3,"area":null},{"id":"2504.11434","title":"Enhancing Out-of-Distribution Detection with Extended Logit Normalization","created":"2025-04-15","cited_by_count":3,"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":"2406.15104","title":"Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors","created":"2024-06-21","cited_by_count":2,"area":null},{"id":"2407.07135","title":"Improving Out-of-Distribution Detection by Combining Existing Post-hoc Methods","created":"2024-07-09","cited_by_count":2,"area":null},{"id":"2410.04525","title":"Out-of-Distribution Detection with Relative Angles","created":"2024-10-06","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":"2503.07330","title":"Revisiting Out-of-Distribution Detection in Real-time Object Detection: From Benchmark Pitfalls to a New Mitigation Paradigm","created":"2025-03-10","cited_by_count":2,"area":null},{"id":"2504.02685","title":"STOOD-X methodology: using statistical nonparametric test for OOD Detection Large-Scale datasets enhanced with explainability","created":"2025-04-03","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":"2506.23881","title":"Spurious-Aware Prototype Refinement for Reliable Out-of-Distribution Detection","created":"2025-06-30","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":"2501.08005","title":"DisCoPatch: Taming Adversarially-driven Batch Statistics for Improved Out-of-Distribution Detection","created":"2025-01-14","cited_by_count":1,"area":null},{"id":"2502.03359","title":"GHOST: Gaussian Hypothesis Open-Set Technique","created":"2025-02-05","cited_by_count":1,"area":null},{"id":"2502.11638","title":"Safeguarding AI in Medical Imaging: Post-Hoc Out-of-Distribution Detection with Normalizing Flows","created":"2025-02-17","cited_by_count":1,"area":null},{"id":"2502.15833","title":"Advancing Out-of-Distribution Detection via Local Neuroplasticity","created":"2025-02-20","cited_by_count":1,"area":null},{"id":"2505.15284","title":"Kernel PCA for Out-of-Distribution Detection: Non-Linear Kernel Selection and Approximation","created":"2025-05-21","cited_by_count":1,"area":null},{"id":"2506.10146","title":"Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors","created":"2025-06-11","cited_by_count":1,"area":null},{"id":"2510.17338","title":"Nearest-Class Mean and Logits Agreement for Wildlife Open-Set Recognition","created":"2025-10-20","cited_by_count":1,"area":null},{"id":"2512.04034","title":"Domain Feature Collapse: Implications for Out-of-Distribution Detection and Solutions","created":"2025-12-03","cited_by_count":1,"area":null},{"id":"2512.19725","title":"Out-of-Distribution Detection for Continual Learning: Design Principles and Benchmarking","created":"2025-12-16","cited_by_count":1,"area":null},{"id":"2601.10802","title":"ICONIC-444: A 3.1-Million-Image Dataset for OOD Detection Research","created":"2026-01-15","cited_by_count":1,"area":null},{"id":"2601.10836","title":"One Model, Many Behaviors: Training-Induced Effects on Out-of-Distribution Detection","created":"2026-01-15","cited_by_count":1,"area":null},{"id":"2602.06031","title":"AP-OOD: Attention Pooling for Out-of-Distribution Detection","created":"2026-02-05","cited_by_count":1,"area":null},{"id":"2602.10062","title":"Vendi Novelty Scores for Out-of-Distribution Detection","created":"2026-02-10","cited_by_count":1,"area":null},{"id":"2603.02618","title":"Mind the Way You Select Negative Texts: Pursuing the Distance Consistency in OOD Detection with VLMs","created":"2026-03-03","cited_by_count":1,"area":null},{"id":"2605.07821","title":"Mitigating Simplicity Bias in OOD Detection through Object Co-occurrence Analysis","created":"2026-05-08","cited_by_count":1,"area":null},{"id":"2605.14413","title":"MahaVar: OOD Detection via Class-wise Mahalanobis Distance Variance under Neural Collapse","created":"2026-05-14","cited_by_count":1,"area":null},{"id":"2607.02435","title":"MARVEL: Margin-Aware Robust von Mises-Fischer Expert Learning for Long-Tailed Out-of-Distribution Detection","created":"2026-07-02","cited_by_count":1,"area":null},{"id":"2411.11254","title":"Semantic or Covariate? A Study on the Intractable Case of Out-of-Distribution Detection","created":"2024-11-18","cited_by_count":0,"area":null},{"id":"2412.03058","title":"Revisiting Energy-Based Model for Out-of-Distribution Detection","created":"2024-12-04","cited_by_count":0,"area":null},{"id":"2502.08695","title":"A Bayesian Nonparametric Perspective on Mahalanobis Distance for Out of Distribution Detection","created":"2025-02-12","cited_by_count":0,"area":null},{"id":"2506.00998","title":"LoRA-BAM: Input Filtering for Fine-tuned LLMs via Boxed Abstraction Monitors over LoRA Layers","created":"2025-06-01","cited_by_count":0,"area":null},{"id":"2506.10200","title":"DynaSubVAE: Adaptive Subgrouping for Scalable and Robust OOD Detection","created":"2025-06-11","cited_by_count":0,"area":null},{"id":"2507.00368","title":"Out-of-Distribution Detection with Adaptive Top-K Logits Integration","created":"2025-07-01","cited_by_count":0,"area":null},{"id":"2507.22576","title":"COOkeD: Ensemble-based OOD detection in the era of zero-shot CLIP","created":"2025-07-30","cited_by_count":0,"area":null},{"id":"2508.01087","title":"COSTARR: Consolidated Open Set Technique with Attenuation for Robust Recognition","created":"2025-08-01","cited_by_count":0,"area":null},{"id":"2508.21463","title":"Multi-Method Ensemble for Out-of-Distribution Detection","created":"2025-08-29","cited_by_count":0,"area":null},{"id":"2510.10653","title":"A Machine Learning Perspective on Automated Driving Corner Cases","created":"2025-10-12","cited_by_count":0,"area":null},{"id":"2601.22703","title":"DAVIS: OOD Detection via Dominant Activations and Variance for Increased Separation","created":"2026-01-30","cited_by_count":0,"area":null},{"id":"2602.02409","title":"Catalyst: Out-of-Distribution Detection via Elastic Scaling","created":"2026-02-02","cited_by_count":0,"area":null},{"id":"2603.07195","title":"Shaping Parameter Contribution Patterns for Out-of-Distribution Detection","created":"2026-03-07","cited_by_count":0,"area":null},{"id":"2603.11269","title":"Beyond the Class Subspace: Teacher-Guided Training for Reliable Out-of-Distribution Detection in Single-Domain Models","created":"2026-03-11","cited_by_count":0,"area":null},{"id":"2603.15213","title":"Tracking the Discriminative Axis: Dual Prototypes for Test-Time OOD Detection Under Covariate Shift","created":"2026-03-16","cited_by_count":0,"area":null},{"id":"2603.18290","title":"CORE: Robust Out-of-Distribution Detection via Confidence and Orthogonal Residual Scoring","created":"2026-03-18","cited_by_count":0,"area":null},{"id":"2603.22660","title":"Bounding Box Anomaly Scoring for simple and efficient Out-of-Distribution detection","created":"2026-03-24","cited_by_count":0,"area":null},{"id":"2604.08572","title":"Ranked Activation Shift for Post-Hoc Out-of-Distribution Detection","created":"2026-03-27","cited_by_count":0,"area":null},{"id":"2605.01063","title":"GEODE: Angle-Adaptive OOD Detection with Universal Scorer Compatibility","created":"2026-05-01","cited_by_count":0,"area":null},{"id":"2605.17818","title":"Evidence-Guided Unknown Rejection for High-Confidence Near-Known Unknowns","created":"2026-05-18","cited_by_count":0,"area":null},{"id":"2605.31187","title":"From Local Geometry to Global Pseudo Labeling for Robust Positive Unlabeled Learning under Covariate Shift","created":"2026-05-29","cited_by_count":0,"area":null},{"id":"2606.05536","title":"Dual Feature Decoupling for Fine-Grained OOD Detection","created":"2026-06-04","cited_by_count":0,"area":null},{"id":"2606.27784","title":"Improving Adversarial Robustness via Activation Amplification and Attenuation","created":"2026-06-26","cited_by_count":0,"area":null},{"id":"2608.01407","title":"Training-Free Out-of-Distribution Detection for Pathology Whole-Slide Images","created":"2026-08-02","cited_by_count":0,"area":null},{"id":"2608.19080","title":"SPK: Eliciting Structured Prior Knowledge for Interpretable Out-of-Distribution Detection in Real-Time Object Detection","created":"2026-08-19","cited_by_count":0,"area":null},{"id":"2609.01027","title":"Fi-ImageNet-1k: An OOD Benchmark From the Inside of the ImageNet-1k Validation Set","created":"2026-09-01","cited_by_count":0,"area":null},{"id":"2609.06785","title":"Unified Multi-Layer Subspace Modeling for Cross-Domain OOD Detection","created":"2026-09-06","cited_by_count":0,"area":null}],"next_cursor":null}