| Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder | Dec 24, 2020 | Image GenerationOut-of-Distribution Detection | CodeCode Available | 1 |
| Masksembles for Uncertainty Estimation | Dec 15, 2020 | Classifier calibrationEnsemble Learning | CodeCode Available | 1 |
| Exploring Vicinal Risk Minimization for Lightweight Out-of-Distribution Detection | Dec 15, 2020 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| Disentangled Information Bottleneck | Dec 14, 2020 | Adversarial AttackOut-of-Distribution Detection | CodeCode Available | 1 |
| Anomaly detection through latent space restoration using vector-quantized variational autoencoders | Dec 12, 2020 | Anomaly DetectionOut-of-Distribution Detection | —Unverified | 0 |
| Learning Energy-Based Models With Adversarial Training | Dec 11, 2020 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 0 |
| Semi-supervised novelty detection using ensembles with regularized disagreement | Dec 10, 2020 | Novelty DetectionOut-of-Distribution Detection | CodeCode Available | 0 |
| Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation | Dec 9, 2020 | General ClassificationOut-of-Distribution Detection | CodeCode Available | 1 |
| Out-Of-Distribution Detection With Subspace Techniques And Probabilistic Modeling Of Features | Dec 8, 2020 | Dimensionality ReductionOut-of-Distribution Detection | —Unverified | 0 |
| 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 |
| Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification | Dec 4, 2020 | Bayesian InferenceDecision Making Under Uncertainty | CodeCode Available | 1 |
| 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 |
| Feature Space Singularity for Out-of-Distribution Detection | Nov 30, 2020 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 |
| 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 |
| Multiscale Score Matching for Out-of-Distribution Detection | Oct 25, 2020 | Out-of-Distribution Detection | CodeCode Available | 1 |
| Out-of-distribution detection for regression tasks: parameter versus predictor entropy | Oct 24, 2020 | DiversityOut-of-Distribution Detection | —Unverified | 0 |
| RobustBench: a standardized adversarial robustness benchmark | Oct 19, 2020 | Adversarial RobustnessBenchmarking | CodeCode Available | 1 |
| Unsupervised Video Anomaly Detection via Normalizing Flows with Implicit Latent Features | Oct 15, 2020 | Anomaly DetectionDecoder | —Unverified | 0 |
| Energy-based Out-of-distribution Detection | Oct 8, 2020 | Out-of-Distribution Detection | CodeCode Available | 1 |
| VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models | Oct 1, 2020 | Image GenerationOut-of-Distribution Detection | CodeCode Available | 1 |
| 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 |
| Estimating Example Difficulty Using Variance of Gradients | Aug 26, 2020 | Out-of-Distribution Detection | CodeCode Available | 1 |
| 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 |
| Improving predictions of Bayesian neural nets via local linearization | Aug 19, 2020 | Out-of-Distribution Detection | CodeCode Available | 1 |
| Gradients as a Measure of Uncertainty in Neural Networks | Aug 18, 2020 | Out-of-Distribution Detection | —Unverified | 0 |
| FOOD: Fast Out-Of-Distribution Detector | Aug 16, 2020 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 |
| Hybrid Discriminative-Generative Training via Contrastive Learning | Jul 17, 2020 | Contrastive LearningOut-of-Distribution Detection | CodeCode Available | 1 |
| CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances | Jul 16, 2020 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 |
| Improving Face Recognition by Clustering Unlabeled Faces in the Wild | Jul 14, 2020 | ClusteringFace Clustering | —Unverified | 0 |
| Contrastive Training for Improved Out-of-Distribution Detection | Jul 10, 2020 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —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 |
| A Benchmark of Medical Out of Distribution Detection | Jul 8, 2020 | DiagnosticMedical Diagnosis | CodeCode Available | 1 |
| Soft Labeling Affects Out-of-Distribution Detection of Deep Neural Networks | Jul 7, 2020 | Model CompressionOut-of-Distribution Detection | —Unverified | 0 |
| Confidence-Aware Learning for Deep Neural Networks | Jul 3, 2020 | Active LearningOut-of-Distribution Detection | CodeCode Available | 1 |
| Sliced Iterative Normalizing Flows | Jul 1, 2020 | Density EstimationImage Generation | CodeCode Available | 1 |
| ATOM: Robustifying Out-of-distribution Detection Using Outlier Mining | Jun 26, 2020 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 |
