| 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 |
