| A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models | Jan 30, 2025 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 |
| Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection | Nov 5, 2024 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 |
| A Review and Refinement of Surprise Adequacy | Mar 10, 2021 | Out-of-Distribution Detection | CodeCode Available | 1 |
| Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data | Feb 26, 2020 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 |
| Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection | Oct 18, 2021 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 |
| EAT: Towards Long-Tailed Out-of-Distribution Detection | Dec 14, 2023 | Long-tail LearningOut-of-Distribution Detection | CodeCode Available | 1 |
| A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks | Oct 7, 2016 | Anomaly DetectionAutomatic Speech Recognition | CodeCode Available | 1 |
| GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection | Jan 1, 2023 | Out-of-Distribution Detection | CodeCode Available | 1 |
| Temperature as Uncertainty in Contrastive Learning | Oct 8, 2021 | Contrastive LearningLinear evaluation | CodeCode Available | 1 |
| Test-Time Linear Out-of-Distribution Detection | Jan 1, 2024 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 |
| Nearest Neighbor Guidance for Out-of-Distribution Detection | Sep 26, 2023 | Out-of-Distribution Detection | CodeCode Available | 1 |
| The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training | May 25, 2022 | Conditional Text GenerationOut-of-Distribution Detection | CodeCode Available | 1 |
| How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection? | Mar 8, 2022 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 |
| Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration | Jul 3, 2023 | Autonomous DrivingObject | CodeCode Available | 1 |
| RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness | Jun 29, 2022 | Out-of-Distribution Detection | CodeCode Available | 1 |
| A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection | Jun 16, 2021 | Intent DetectionOut-of-Distribution Detection | CodeCode Available | 1 |
| Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification | Dec 4, 2020 | Bayesian InferenceDecision Making Under Uncertainty | CodeCode Available | 1 |
| Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization | Aug 24, 2023 | Out-of-Distribution Detection | CodeCode Available | 1 |
| A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification | Jul 15, 2021 | Conformal PredictionDeep Reinforcement Learning | CodeCode Available | 1 |
| Energy-based Hopfield Boosting for Out-of-Distribution Detection | May 14, 2024 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 |
| Turning the Curse of Heterogeneity in Federated Learning into a Blessing for Out-of-Distribution Detection | Feb 1, 2023 | Autonomous DrivingFederated Learning | CodeCode Available | 1 |
| Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model | Mar 14, 2025 | Bayesian InferenceEfficient Exploration | —Unverified | 0 |
| Contextualised Out-of-Distribution Detection using Pattern Identication | Oct 24, 2023 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| Conservative Uncertainty Estimation By Fitting Prior Networks | May 1, 2020 | Out-of-Distribution Detection | —Unverified | 0 |
| ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection | Feb 27, 2024 | Density EstimationOut-of-Distribution Detection | —Unverified | 0 |
| Adaptive Label Smoothing for Out-of-Distribution Detection | Oct 8, 2024 | Data AugmentationOut-of-Distribution Detection | —Unverified | 0 |
| Graph Neural Stochastic Differential Equations | Aug 23, 2023 | Out-of-Distribution DetectionPrediction | —Unverified | 0 |
| Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation | Nov 29, 2019 | Image SegmentationMedical Image Segmentation | —Unverified | 0 |
| AI-Driven Road Maintenance Inspection v2: Reducing Data Dependency & Quantifying Road Damage | Oct 7, 2022 | Few-Shot Learningobject-detection | —Unverified | 0 |
| Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection | Dec 20, 2024 | Out-of-Distribution Detection | —Unverified | 0 |
| Epistemic Uncertainty Quantification For Pre-Trained Neural Networks | Jan 1, 2024 | Active LearningOut-of-Distribution Detection | —Unverified | 0 |
| EOOD: Entropy-based Out-of-distribution Detection | Apr 4, 2025 | Out-of-Distribution Detection | —Unverified | 0 |
| A Survey on Out-of-Distribution Detection in NLP | May 5, 2023 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| GradPCA: Leveraging NTK Alignment for Reliable Out-of-Distribution Detection | May 21, 2025 | image-classificationImage Classification | —Unverified | 0 |
| How Out-of-Distribution Detection Learning Theory Enhances Transformer: Learnability and Reliability | Jun 13, 2024 | Image ClassificationLearning Theory | —Unverified | 0 |
| A Survey on Assessing the Generalization Envelope of Deep Neural Networks: Predictive Uncertainty, Out-of-distribution and Adversarial Samples | Aug 21, 2020 | Image ClassificationOut-of-Distribution Detection | —Unverified | 0 |
| A Holistic Assessment of the Reliability of Machine Learning Systems | Jul 20, 2023 | Adversarial RobustnessOut-of-Distribution Detection | —Unverified | 0 |
| Computer Aided Diagnosis and Out-of-Distribution Detection in Glaucoma Screening Using Color Fundus Photography | Feb 24, 2022 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| Gradient-Based Adversarial and Out-of-Distribution Detection | Jun 16, 2022 | Out-of-Distribution Detection | —Unverified | 0 |
| Epistemic Uncertainty Quantification For Pre-trained Neural Network | Apr 15, 2024 | Active LearningOut-of-Distribution Detection | —Unverified | 0 |
| Enhancing Out-of-Distribution Detection with Extended Logit Normalization | Apr 15, 2025 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| Establishing baselines and introducing TernaryMixOE for fine-grained out-of-distribution detection | Mar 30, 2023 | Out-of-Distribution Detection | —Unverified | 0 |
| Enhancing Out-of-Distribution Detection with Multitesting-based Layer-wise Feature Fusion | Mar 16, 2024 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| Evaluation of Out-of-Distribution Detection Performance of Self-Supervised Learning in a Controllable Environment | Nov 26, 2020 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| Evaluation of Out-of-Distribution Detection Performance on Autonomous Driving Datasets | Jan 30, 2024 | Autonomous DrivingOut-of-Distribution Detection | —Unverified | 0 |
| A Survey of Uncertainty Estimation in LLMs: Theory Meets Practice | Oct 20, 2024 | Bayesian InferenceOut-of-Distribution Detection | —Unverified | 0 |
| G-OSR: A Comprehensive Benchmark for Graph Open-Set Recognition | Mar 1, 2025 | Anomaly DetectionGraph Anomaly Detection | —Unverified | 0 |
| A Unified Approach Towards Active Learning and Out-of-Distribution Detection | May 18, 2024 | Active LearningOut-of-Distribution Detection | —Unverified | 0 |
| Gradients as a Measure of Uncertainty in Neural Networks | Aug 18, 2020 | Out-of-Distribution Detection | —Unverified | 0 |
| Cluster-aware Contrastive Learning for Unsupervised Out-of-distribution Detection | Feb 6, 2023 | Contrastive LearningOut-of-Distribution Detection | —Unverified | 0 |
