| Structured DropConnect for Uncertainty Inference in Image Classification | Jun 16, 2021 | Classificationimage-classification | CodeCode Available | 0 |
| Robust Out-of-Distribution Detection on Deep Probabilistic Generative Models | Jun 15, 2021 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 0 |
| Shifting Transformation Learning for Out-of-Distribution Detection | Jun 7, 2021 | Anomaly DetectionContrastive Learning | —Unverified | 0 |
| Rectangular Flows for Manifold Learning | Jun 2, 2021 | Density EstimationOut-of-Distribution Detection | CodeCode Available | 0 |
| One Representation to Rule Them All: Identifying Out-of-Support Examples in Few-shot Learning with Generic Representations | Jun 2, 2021 | AllFew-Shot Learning | —Unverified | 0 |
| Improving Compositionality of Neural Networks by Decoding Representations to Inputs | Jun 1, 2021 | FairnessOut-of-Distribution Detection | —Unverified | 0 |
| Out-of-Distribution Detection in Dermatology using Input Perturbation and Subset Scanning | May 24, 2021 | FairnessOut-of-Distribution Detection | —Unverified | 0 |
| Improving Entropic Out-of-Distribution Detection using Isometric Distances and the Minimum Distance Score | May 21, 2021 | Out-of-Distribution Detection | —Unverified | 0 |
| An Effective Baseline for Robustness to Distributional Shift | May 15, 2021 | Deep LearningOut-of-Distribution Detection | CodeCode Available | 0 |
| Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs | May 7, 2021 | Data AugmentationOut-of-Distribution Detection | —Unverified | 0 |
| Out-of-distribution Detection and Generation using Soft Brownian Offset Sampling and Autoencoders | May 4, 2021 | DecoderOut-of-Distribution Detection | CodeCode Available | 0 |
| Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation | Apr 28, 2021 | Gaussian ProcessesImage Segmentation | —Unverified | 0 |
| ODDObjects: A Framework for Multiclass Unsupervised Anomaly Detection on Masked Objects | Apr 26, 2021 | Anomaly DetectionImage Reconstruction | CodeCode Available | 0 |
| Neural Mean Discrepancy for Efficient Out-of-Distribution Detection | Apr 23, 2021 | General ClassificationOut-of-Distribution Detection | —Unverified | 0 |
| Uncertainty Surrogates for Deep Learning | Apr 16, 2021 | Computational EfficiencyDeep Learning | —Unverified | 0 |
| I Find Your Lack of Uncertainty in Computer Vision Disturbing | Apr 16, 2021 | Out-of-Distribution DetectionUncertainty Quantification | —Unverified | 0 |
| Out-of-Distribution Detection for Dermoscopic Image Classification | Apr 15, 2021 | ClassificationGeneral Classification | —Unverified | 0 |
| Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning | Apr 11, 2021 | Deep Learningimage-classification | CodeCode Available | 0 |
| Out-of-distribution detection in satellite image classification | Apr 9, 2021 | ClassificationDeep Learning | —Unverified | 0 |
| The Compact Support Neural Network | Apr 1, 2021 | Autonomous DrivingOut-of-Distribution Detection | —Unverified | 0 |
| Performance Analysis of Out-of-Distribution Detection on Various Trained Neural Networks | Mar 29, 2021 | Outlier DetectionOut-of-Distribution Detection | —Unverified | 0 |
| Out-of-Distribution Detection of Melanoma using Normalizing Flows | Mar 23, 2021 | BIG-bench Machine LearningDensity Estimation | —Unverified | 0 |
| Joint Distribution across Representation Space for Out-of-Distribution Detection | Mar 23, 2021 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| SPICES: SURVEY PAPERS AS INTERACTIVE CHEATSHEET EMBEDDINGS | Mar 18, 2021 | Cultural Vocal Bursts Intensity PredictionOut-of-Distribution Detection | —Unverified | 0 |
| Flow-based Self-supervised Density Estimation for Anomalous Sound Detection | Mar 16, 2021 | Anomaly DetectionDensity Estimation | —Unverified | 0 |
| An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving | Mar 5, 2021 | Out-of-Distribution Detection | —Unverified | 0 |
| Fool Me Once: Robust Selective Segmentation via Out-of-Distribution Detection with Contrastive Learning | Mar 1, 2021 | Contrastive LearningData Augmentation | —Unverified | 0 |
| A statistical framework for efficient out of distribution detection in deep neural networks | Feb 25, 2021 | Autonomous VehiclesOut-of-Distribution Detection | —Unverified | 0 |
| Bayesian OOD detection with aleatoric uncertainty and outlier exposure | Feb 24, 2021 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| Improving Deep Learning Sound Events Classifiers using Gram Matrix Feature-wise Correlations | Feb 23, 2021 | Out-of-Distribution Detection | —Unverified | 0 |
| Unsupervised Energy-based Out-of-distribution Detection using Stiefel-Restricted Kernel Machine | Feb 16, 2021 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 0 |
| Structured Dropout Variational Inference for Bayesian Neural Networks | Feb 16, 2021 | Bayesian InferenceComputational Efficiency | —Unverified | 0 |
| Self-Supervised Features Improve Open-World Learning | Feb 15, 2021 | Incremental LearningOut-of-Distribution Detection | CodeCode Available | 0 |
| Label Smoothed Embedding Hypothesis for Out-of-Distribution Detection | Feb 9, 2021 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| Probabilistic Trust Intervals for Out of Distribution Detection | Feb 2, 2021 | Image ClassificationOut-of-Distribution Detection | CodeCode Available | 0 |
| DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation | Jan 14, 2021 | DiversityOut-of-Distribution Detection | —Unverified | 0 |
| Practical Evaluation of Out-of-Distribution Detection Methods for Image Classification | Jan 7, 2021 | General Classificationimage-classification | —Unverified | 0 |
| A General Framework for Unsupervised Anomaly Detection | Jan 1, 2021 | Anomaly DetectionOut-of-Distribution Detection | —Unverified | 0 |
| Bayesian Neural Networks with Variance Propagation for Uncertainty Evaluation | Jan 1, 2021 | Bayesian InferenceComputational Efficiency | —Unverified | 0 |
| A Simple and Effective Baseline for Out-of-Distribution Detection using Abstention | Jan 1, 2021 | Deep LearningOut-of-Distribution Detection | —Unverified | 0 |
| Generative Max-Mahalanobis Classifiers for Image Classification, Generation and More | Jan 1, 2021 | Adversarial RobustnessClassification | CodeCode Available | 0 |
| Suppressing Outlier Reconstruction in Autoencoders for Out-of-Distribution Detection | Jan 1, 2021 | Outlier DetectionOut-of-Distribution Detection | —Unverified | 0 |
| TraDE: A Simple Self-Attention-Based Density Estimator | Jan 1, 2021 | Density EstimationOut-of-Distribution Detection | —Unverified | 0 |
| Energy-based Out-of-distribution Detection for Multi-label Classification | Jan 1, 2021 | ClassificationGeneral Classification | —Unverified | 0 |
| Exploiting Safe Spots in Neural Networks for Preemptive Robustness and Out-of-Distribution Detection | Jan 1, 2021 | Adversarial DefenseOut-of-Distribution Detection | —Unverified | 0 |
| Exploring Vicinal Risk Minimization for Lightweight Out-of-Distribution Detection | Dec 15, 2020 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| 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 |
| Out-Of-Distribution Detection With Subspace Techniques And Probabilistic Modeling Of Features | Dec 8, 2020 | Dimensionality ReductionOut-of-Distribution Detection | —Unverified | 0 |
