| Are DNNs fooled by extremely unrecognizable images? | Dec 7, 2020 | Out-of-Distribution Detection | —Unverified | 0 |
| Perfect density models cannot guarantee anomaly detection | Dec 7, 2020 | Active LearningAnomaly Detection | —Unverified | 0 |
| Unsupervised Anomaly Detection From Semantic Similarity Scores | Dec 1, 2020 | Anomaly DetectionOut-of-Distribution Detection | —Unverified | 0 |
| OOD-MAML: Meta-Learning for Few-Shot Out-of-Distribution Detection and Classification | Dec 1, 2020 | Few-Shot LearningGeneral Classification | —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 |
| Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs | Nov 24, 2020 | Out-of-Distribution Detectionreinforcement-learning | —Unverified | 0 |
| Probing Predictions on OOD Images via Nearest Categories | Nov 17, 2020 | Adversarial RobustnessFew-Shot Learning | CodeCode Available | 0 |
| Self-Supervised Out-of-Distribution Detection in Brain CT Scans | Nov 10, 2020 | Anomaly DetectionOut-of-Distribution Detection | —Unverified | 0 |
| Out-of-Distribution Detection for Automotive Perception | Nov 3, 2020 | Autonomous DrivingObject Recognition | —Unverified | 0 |
| PAL : Pretext-based Active Learning | Oct 29, 2020 | Active LearningMulti-Task Learning | —Unverified | 0 |
| Hierarchical Gaussian Processes with Wasserstein-2 Kernels | Oct 28, 2020 | Gaussian ProcessesOut-of-Distribution Detection | —Unverified | 0 |
| Out-of-distribution detection for regression tasks: parameter versus predictor entropy | Oct 24, 2020 | DiversityOut-of-Distribution Detection | —Unverified | 0 |
| Unsupervised Video Anomaly Detection via Normalizing Flows with Implicit Latent Features | Oct 15, 2020 | Anomaly DetectionDecoder | —Unverified | 0 |
| Geometric Disentanglement by Random Convex Polytopes | Sep 29, 2020 | ClusteringDisentanglement | —Unverified | 0 |
| Informative Outlier Matters: Robustifying Out-of-distribution Detection Using Outlier Mining | Sep 28, 2020 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| Learn what you can't learn: Regularized Ensembles for Transductive out-of-distribution detection | Sep 28, 2020 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| Fair and accurate age prediction using distribution aware data curation and augmentation | Sep 11, 2020 | Age EstimationData Augmentation | CodeCode Available | 0 |
| Improving colonoscopy lesion classification using semi-supervised deep learning | Sep 7, 2020 | ClassificationDeep Learning | —Unverified | 0 |
| Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings | Sep 3, 2020 | Bayesian InferenceOut-of-Distribution Detection | CodeCode Available | 0 |
| Learning to Profile: User Meta-Profile Network for Few-Shot Learning | Aug 21, 2020 | Few-Shot LearningMeta-Learning | —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 |
| Gradients as a Measure of Uncertainty in Neural Networks | Aug 18, 2020 | Out-of-Distribution Detection | —Unverified | 0 |
| Improving Face Recognition by Clustering Unlabeled Faces in the Wild | Jul 14, 2020 | ClusteringFace Clustering | —Unverified | 0 |
| Revisiting One-vs-All Classifiers for Predictive Uncertainty and Out-of-Distribution Detection in Neural Networks | Jul 10, 2020 | Allimage-classification | —Unverified | 0 |
| Contrastive Training for Improved Out-of-Distribution Detection | Jul 10, 2020 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| Soft Labeling Affects Out-of-Distribution Detection of Deep Neural Networks | Jul 7, 2020 | Model CompressionOut-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 |
| 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 |
| 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 |
| Hybrid Models for Open Set Recognition | Mar 27, 2020 | Open Set LearningOut-of-Distribution Detection | —Unverified | 0 |
| Out-of-Distribution Detection for Skin Lesion Images with Deep Isolation Forest | Mar 20, 2020 | Out-of-Distribution Detection | —Unverified | 0 |
| Diversity inducing Information Bottleneck in Model Ensembles | Mar 10, 2020 | Diversitymodel | CodeCode Available | 0 |
| Out-of-Distribution Detection in Multi-Label Datasets using Latent Space of β-VAE | Mar 10, 2020 | Image Segmentationobject-detection | —Unverified | 0 |
| Kullback-Leibler Divergence-Based Out-of-Distribution Detection with Flow-Based Generative Models | Feb 9, 2020 | Anomaly DetectionGroup Anomaly Detection | —Unverified | 0 |
| 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 |
| Out-of-Distribution Detection Using Layerwise Uncertainty in Deep Neural Networks | Jan 1, 2020 | ClassificationGeneral Classification | —Unverified | 0 |
| 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 |
| Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models | Nov 18, 2019 | Anomaly DetectionAutonomous Driving | —Unverified | 0 |
