| 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 |
| Task-agnostic Out-of-Distribution Detection Using Kernel Density Estimation | Jun 18, 2020 | Autonomous DrivingClassification | CodeCode Available | 0 |
| Density of States Estimation for Out-of-Distribution Detection | Jun 16, 2020 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| Mean-Field Approximation to Gaussian-Softmax Integral with Application to Uncertainty Estimation | Jun 13, 2020 | Out-of-Distribution Detection | —Unverified | 0 |
| Weakly-supervised Temporal Action Localization by Uncertainty Modeling | Jun 12, 2020 | Action ClassificationAction Localization | CodeCode Available | 1 |
| Probabilistic Autoencoder | Jun 9, 2020 | Bayesian InferenceDenoising | CodeCode Available | 1 |
| Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples | Jun 7, 2020 | General ClassificationMetric Learning | CodeCode Available | 1 |
| Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks | May 16, 2020 | Out-of-Distribution Detection | —Unverified | 0 |
| Conservative Uncertainty Estimation By Fitting Prior Networks | May 1, 2020 | Out-of-Distribution Detection | —Unverified | 0 |
| Improving Calibration and Out-of-Distribution Detection in Medical Image Segmentation with Convolutional Neural Networks | Apr 12, 2020 | Image SegmentationMedical Image Segmentation | CodeCode Available | 0 |
| TraDE: Transformers for Density Estimation | Apr 6, 2020 | Density EstimationOut-of-Distribution Detection | —Unverified | 0 |
| Anomaly Detection and Prototype Selection Using Polyhedron Curvature | Apr 5, 2020 | Anomaly DetectionDenoising | CodeCode Available | 0 |
| Flows for simultaneous manifold learning and density estimation | Mar 31, 2020 | DenoisingDensity Estimation | CodeCode Available | 1 |
| GAN-based Priors for Quantifying Uncertainty | Mar 27, 2020 | Bayesian InferenceDenoising | CodeCode Available | 1 |
| Hybrid Models for Open Set Recognition | Mar 27, 2020 | Open Set LearningOut-of-Distribution Detection | —Unverified | 0 |
| Robust Out-of-distribution Detection for Neural Networks | Mar 21, 2020 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 |
| Out-of-Distribution Detection for Skin Lesion Images with Deep Isolation Forest | Mar 20, 2020 | Out-of-Distribution Detection | —Unverified | 0 |
| Out-of-Distribution Detection in Multi-Label Datasets using Latent Space of β-VAE | Mar 10, 2020 | Image Segmentationobject-detection | —Unverified | 0 |
| Diversity inducing Information Bottleneck in Model Ensembles | Mar 10, 2020 | Diversitymodel | CodeCode Available | 0 |
| Isolation Mondrian Forest for Batch and Online Anomaly Detection | Mar 8, 2020 | Anomaly DetectionEnsemble Learning | CodeCode Available | 1 |
| Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder | Mar 6, 2020 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 |
| Uncertainty Estimation Using a Single Deep Deterministic Neural Network | Mar 4, 2020 | Out-of-Distribution DetectionUncertainty Quantification | 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 |
| Kullback-Leibler Divergence-Based Out-of-Distribution Detection with Flow-Based Generative Models | Feb 9, 2020 | Anomaly DetectionGroup Anomaly Detection | —Unverified | 0 |
| Characterizing Structural Regularities of Labeled Data in Overparameterized Models | Feb 8, 2020 | Density EstimationOut-of-Distribution Detection | CodeCode Available | 1 |
| Real-time Out-of-distribution Detection in Learning-Enabled Cyber-Physical Systems | Jan 28, 2020 | Anomaly DetectionBIG-bench Machine Learning | —Unverified | 0 |
| Efficient Out-of-Distribution Detection in Digital Pathology Using Multi-Head Convolutional Neural Networks | Jan 25, 2020 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| Which MOoD Methods work? A Benchmark of Medical Out of Distribution Detection | Jan 25, 2020 | Medical DiagnosisOut-of-Distribution Detection | —Unverified | 0 |
| Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification | Jan 17, 2020 | General ClassificationOut-of-Distribution Detection | CodeCode Available | 1 |
| Deep Residual Flow for Out of Distribution Detection | Jan 15, 2020 | Out-of-Distribution Detection | CodeCode Available | 1 |
| Out-of-Distribution Detection Using Layerwise Uncertainty in Deep Neural Networks | Jan 1, 2020 | ClassificationGeneral Classification | —Unverified | 0 |
| Detecting Out-of-Distribution Examples with In-distribution Examples and Gram Matrices | Dec 28, 2019 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 |
| TRADI: Tracking deep neural network weight distributions for uncertainty estimation | Dec 24, 2019 | Computational EfficiencyGeneral Classification | —Unverified | 0 |
| A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks | Dec 22, 2019 | Out-of-Distribution Detection | CodeCode Available | 0 |
| Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection | Dec 11, 2019 | DecoderOut-of-Distribution Detection | —Unverified | 0 |
| Why Should we Combine Training and Post-Training Methods for Out-of-Distribution Detection? | Dec 5, 2019 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation | Nov 29, 2019 | Image SegmentationMedical Image Segmentation | —Unverified | 0 |
| Scaling Out-of-Distribution Detection for Real-World Settings | Nov 25, 2019 | Anomaly SegmentationOut-of-Distribution Detection | CodeCode Available | 1 |
| Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models | Nov 18, 2019 | Anomaly DetectionAutonomous Driving | —Unverified | 0 |
| Out of distribution detection for intra-operative functional imaging | Nov 5, 2019 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| Are Out-of-Distribution Detection Methods Effective on Large-Scale Datasets? | Oct 30, 2019 | General Classificationimage-classification | —Unverified | 0 |
| Detecting Underspecification with Local Ensembles | Oct 21, 2019 | Active LearningOut-of-Distribution Detection | CodeCode Available | 1 |
| Unsupervised Out-of-Distribution Detection with Batch Normalization | Oct 21, 2019 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| Out-of-distribution Detection in Classifiers via Generation | Oct 9, 2019 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 0 |
| Towards neural networks that provably know when they don't know | Sep 26, 2019 | Out-of-Distribution Detection | CodeCode Available | 0 |
| Neural Network Out-of-Distribution Detection for Regression Tasks | Sep 25, 2019 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| Uncertainty-Aware Prediction for Graph Neural Networks | Sep 25, 2019 | ClassificationNode Classification | —Unverified | 0 |
| Improving Confident-Classifiers For Out-of-distribution Detection | Sep 25, 2019 | image-classificationImage Classification | CodeCode Available | 0 |
| Fourier networks for uncertainty estimates and out-of-distribution detection | Sep 25, 2019 | Out-of-Distribution Detection | —Unverified | 0 |
| Out-of-Distribution Image Detection Using the Normalized Compression Distance | Sep 25, 2019 | Out-of-Distribution Detection | —Unverified | 0 |
