| Technical report on target classification in SAR track | May 3, 2024 | ClassificationData Augmentation | —Unverified | 0 |
| The Compact Support Neural Network | Apr 1, 2021 | Autonomous DrivingOut-of-Distribution Detection | —Unverified | 0 |
| The Effect of Optimization Methods on the Robustness of Out-of-Distribution Detection Approaches | Jun 25, 2020 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| E-ADDA: Unsupervised Adversarial Domain Adaptation Enhanced by a New Mahalanobis Distance Loss for Smart Computing | Jan 24, 2022 | Domain AdaptationOut-of-Distribution Detection | —Unverified | 0 |
| The Met Dataset: Instance-level Recognition for Artworks | Feb 3, 2022 | Contrastive LearningOut-of-Distribution Detection | —Unverified | 0 |
| The Needle in the haystack: Out-distribution aware Self-training in an Open-World Setting | Sep 29, 2021 | Out-of-Distribution DetectionSelf-Learning | —Unverified | 0 |
| Thinkback: Task-SpecificOut-of-Distribution Detection | Jul 13, 2021 | Out-of-Distribution Detection | —Unverified | 0 |
| Three Factors to Improve Out-of-Distribution Detection | Aug 2, 2023 | Contrastive LearningKnowledge Distillation | —Unverified | 0 |
| Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection | Sep 16, 2022 | Contrastive LearningOut-of-Distribution Detection | —Unverified | 0 |
| Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs | May 7, 2021 | Data AugmentationOut-of-Distribution Detection | —Unverified | 0 |
| Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning | Nov 11, 2023 | 2D Object DetectionDensity Estimation | —Unverified | 0 |
| Toward a Holistic Evaluation of Robustness in CLIP Models | Oct 2, 2024 | ClassificationOut-of-Distribution Detection | —Unverified | 0 |
| Toward a Realistic Benchmark for Out-of-Distribution Detection | Apr 16, 2024 | Out-of-Distribution DetectionSemantic Similarity | —Unverified | 0 |
| Towards a Framework for Deep Learning Certification in Safety-Critical Applications Using Inherently Safe Design and Run-Time Error Detection | Mar 12, 2024 | Deep LearningOut-of-Distribution Detection | —Unverified | 0 |
| Towards Few-shot Out-of-Distribution Detection | Nov 20, 2023 | General KnowledgeOut-of-Distribution Detection | —Unverified | 0 |
| Towards In-distribution Compatibility in Out-of-distribution Detection | Aug 29, 2022 | Out-of-Distribution Detection | —Unverified | 0 |
| Towards OOD Detection in Graph Classification from Uncertainty Estimation Perspective | Jun 21, 2022 | ClassificationGraph Classification | —Unverified | 0 |
| Towards Out-of-Distribution Detection for breast cancer classification in Point-of-Care Ultrasound Imaging | Feb 29, 2024 | Cancer ClassificationOut-of-Distribution Detection | —Unverified | 0 |
| Towards Out-of-Distribution Detection in Vocoder Recognition via Latent Feature Reconstruction | Jun 4, 2024 | Contrastive LearningDecoder | —Unverified | 0 |
| TraDE: A Simple Self-Attention-Based Density Estimator | Jan 1, 2021 | Density EstimationOut-of-Distribution Detection | —Unverified | 0 |
| TraDE: Transformers for Density Estimation | Apr 6, 2020 | Density EstimationOut-of-Distribution Detection | —Unverified | 0 |
| TRADI: Tracking deep neural network weight distributions for uncertainty estimation | Dec 24, 2019 | Computational EfficiencyGeneral Classification | —Unverified | 0 |
| DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers | Jun 15, 2023 | DenoisingImage Generation | —Unverified | 0 |
| TransductGAN: a Transductive Adversarial Model for Novelty Detection | Mar 29, 2022 | Generative Adversarial Networkmodel | —Unverified | 0 |
| Tree-based Ensemble Learning for Out-of-distribution Detection | May 5, 2024 | Ensemble LearningOut-of-Distribution Detection | —Unverified | 0 |
| TriAug: Out-of-Distribution Detection for Imbalanced Breast Lesion in Ultrasound | Feb 12, 2024 | Out-of-Distribution DetectionRobust classification | —Unverified | 0 |
| Out-of-distribution Partial Label Learning | Mar 11, 2024 | object-detectionObject Detection | —Unverified | 0 |
| TS-OOD: Evaluating Time-Series Out-of-Distribution Detection and Prospective Directions for Progress | Feb 21, 2025 | Out-of-Distribution DetectionTime Series | —Unverified | 0 |
| TTA-OOD: Test-time Augmentation for Improving Out-of-Distribution Detection in Gastrointestinal Vision | Jul 19, 2024 | Anomaly DetectionOut-of-Distribution Detection | —Unverified | 0 |
| Two-stage Modeling for Prediction with Confidence | Sep 19, 2022 | Out-of-Distribution DetectionPrediction | —Unverified | 0 |
| Uncertainty-Aware Out-of-Distribution Detection with Gaussian Processes | Dec 30, 2024 | Gaussian Processesimage-classification | —Unverified | 0 |
| Uncertainty-Aware Prediction for Graph Neural Networks | Sep 25, 2019 | ClassificationNode Classification | —Unverified | 0 |
| Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning | Jan 8, 2019 | Bayesian InferenceDeep Reinforcement Learning | —Unverified | 0 |
| Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs | Nov 24, 2020 | Out-of-Distribution Detectionreinforcement-learning | —Unverified | 0 |
| Uncertainty Estimation and Out-of-Distribution Detection for Counterfactual Explanations: Pitfalls and Solutions | Jul 20, 2021 | counterfactualMedical Diagnosis | —Unverified | 0 |
| Uncertainty Estimation and Out-of-Distribution Detection for LiDAR Scene Semantic Segmentation | Oct 11, 2024 | Autonomous VehiclesOut-of-Distribution Detection | —Unverified | 0 |
| Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction using the Local Lipschitz | May 12, 2023 | Computed Tomography (CT)Data Augmentation | —Unverified | 0 |
| Uncertainty estimation for out-of-distribution detection in computational histopathology | Oct 18, 2022 | Out-of-Distribution Detection | —Unverified | 0 |
| Mean-Field Approximation to Gaussian-Softmax Integral with Application to Uncertainty Estimation | Jun 13, 2020 | Out-of-Distribution Detection | —Unverified | 0 |
| Uncertainty-Estimation with Normalized Logits for Out-of-Distribution Detection | Feb 15, 2023 | Autonomous DrivingMedical Diagnosis | —Unverified | 0 |
| Uncertainty in Extreme Multi-label Classification | Oct 18, 2022 | ClassificationDecision Making | —Unverified | 0 |
| Uncertainty Surrogates for Deep Learning | Apr 16, 2021 | Computational EfficiencyDeep Learning | —Unverified | 0 |
| Understanding Failures in Out-of-Distribution Detection with Deep Generative Models | Jul 14, 2021 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection | Feb 16, 2024 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| Understanding the Feature Norm for Out-of-Distribution Detection | Oct 9, 2023 | Out-of-Distribution Detection | —Unverified | 0 |
| Understanding the properties and limitations of contrastive learning for Out-of-Distribution detection | Nov 6, 2022 | Contrastive LearningOut-of-Distribution Detection | —Unverified | 0 |
| Understanding the Role of Self-Supervised Learning in Out-of-Distribution Detection Task | Oct 26, 2021 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| Unified Out-Of-Distribution Detection: A Model-Specific Perspective | Apr 13, 2023 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| Unsupervised Anomaly Detection From Semantic Similarity Scores | Dec 1, 2020 | Anomaly DetectionOut-of-Distribution Detection | —Unverified | 0 |
| Unsupervised Evaluation of Out-of-distribution Detection: A Data-centric Perspective | Feb 16, 2023 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
