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Out-of-Distribution Detection

Papers archive 2025-07-28

archive papers tagged: 888 · with a code link: 438 · where Syntology ran a sample: 181 (146 with a run with no instrument failure, 35 where every run was a failure of Syntology's instrument) Syntology

Show: all tagged papersonly where code ran (181 of 888 tagged: 146 with a run with no instrument failure, 35 where every run was a failure of Syntology's instrument)

Page 9 of 9: papers 801 to 888 of 888, in archive order: by repositories listed in the archive (most first), then newest first, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers that list no repository come after every paper that lists one.

Papers without a page here are shown as plain text. A Syntology line reads “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the figure “where Syntology's instrument failed” counts failures of Syntology's instrument, not of the code. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code); hover it for the repositories the samples that ran came from. Abstracts are on each paper's page.

• Out-of-distribution detection in satellite image classification
  9 Apr 2021 0 repositories listed
• The Compact Support Neural Network
  1 Apr 2021 0 repositories listed
• Performance Analysis of Out-of-Distribution Detection on Various Trained Neural Networks
  29 Mar 2021 0 repositories listed
• Joint Distribution across Representation Space for Out-of-Distribution Detection
  23 Mar 2021 0 repositories listed
• Out-of-Distribution Detection of Melanoma using Normalizing Flows
  23 Mar 2021 0 repositories listed
• SPICES: SURVEY PAPERS AS INTERACTIVE CHEATSHEET EMBEDDINGS
  18 Mar 2021 0 repositories listed
• Flow-based Self-supervised Density Estimation for Anomalous Sound Detection
  16 Mar 2021 0 repositories listed
• An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving
  5 Mar 2021 0 repositories listed
• Fool Me Once: Robust Selective Segmentation via Out-of-Distribution Detection with Contrastive Learning
  1 Mar 2021 0 repositories listed
• A statistical framework for efficient out of distribution detection in deep neural networks
  25 Feb 2021 0 repositories listed
• Bayesian OOD detection with aleatoric uncertainty and outlier exposure
  24 Feb 2021 0 repositories listed
• Improving Deep Learning Sound Events Classifiers using Gram Matrix Feature-wise Correlations
  23 Feb 2021 0 repositories listed
• Structured Dropout Variational Inference for Bayesian Neural Networks
  16 Feb 2021 0 repositories listed
• Label Smoothed Embedding Hypothesis for Out-of-Distribution Detection
  9 Feb 2021 0 repositories listed
• DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation
  14 Jan 2021 0 repositories listed
• Practical Evaluation of Out-of-Distribution Detection Methods for Image Classification
  7 Jan 2021 0 repositories listed
• A General Framework for Unsupervised Anomaly Detection
  1 Jan 2021 0 repositories listed
• A Simple and Effective Baseline for Out-of-Distribution Detection using Abstention
  1 Jan 2021 0 repositories listed
• Bayesian Neural Networks with Variance Propagation for Uncertainty Evaluation
  1 Jan 2021 0 repositories listed
• Energy-based Out-of-distribution Detection for Multi-label Classification
  1 Jan 2021 0 repositories listed
• Exploiting Safe Spots in Neural Networks for Preemptive Robustness and Out-of-Distribution Detection
  1 Jan 2021 0 repositories listed
• Suppressing Outlier Reconstruction in Autoencoders for Out-of-Distribution Detection
  1 Jan 2021 0 repositories listed
• TraDE: A Simple Self-Attention-Based Density Estimator
  1 Jan 2021 0 repositories listed
• Exploring Vicinal Risk Minimization for Lightweight Out-of-Distribution Detection
  15 Dec 2020 0 repositories listed
• Anomaly detection through latent space restoration using vector-quantized variational autoencoders
  12 Dec 2020 0 repositories listed
• Out-Of-Distribution Detection With Subspace Techniques And Probabilistic Modeling Of Features
  8 Dec 2020 0 repositories listed
• Perfect density models cannot guarantee anomaly detection
  7 Dec 2020 0 repositories listed
• Are DNNs fooled by extremely unrecognizable images?
  7 Dec 2020 0 repositories listed
• OOD-MAML: Meta-Learning for Few-Shot Out-of-Distribution Detection and Classification
  1 Dec 2020 0 repositories listed
• Unsupervised Anomaly Detection From Semantic Similarity Scores
  1 Dec 2020 0 repositories listed
• Evaluation of Out-of-Distribution Detection Performance of Self-Supervised Learning in a Controllable Environment
  26 Nov 2020 0 repositories listed
• Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs
  24 Nov 2020 0 repositories listed
• Self-Supervised Out-of-Distribution Detection in Brain CT Scans
  10 Nov 2020 0 repositories listed
• Out-of-Distribution Detection for Automotive Perception
  3 Nov 2020 0 repositories listed
• PAL : Pretext-based Active Learning
  29 Oct 2020 0 repositories listed
• Hierarchical Gaussian Processes with Wasserstein-2 Kernels
  28 Oct 2020 0 repositories listed
• Out-of-distribution detection for regression tasks: parameter versus predictor entropy
  24 Oct 2020 0 repositories listed
• Unsupervised Video Anomaly Detection via Normalizing Flows with Implicit Latent Features
  15 Oct 2020 0 repositories listed
• Geometric Disentanglement by Random Convex Polytopes
  29 Sep 2020 0 repositories listed
• Informative Outlier Matters: Robustifying Out-of-distribution Detection Using Outlier Mining
  28 Sep 2020 0 repositories listed
• Learn what you can't learn: Regularized Ensembles for Transductive out-of-distribution detection
  28 Sep 2020 0 repositories listed
• Improving colonoscopy lesion classification using semi-supervised deep learning
  7 Sep 2020 0 repositories listed
• A Survey on Assessing the Generalization Envelope of Deep Neural Networks: Predictive Uncertainty, Out-of-distribution and Adversarial Samples
  21 Aug 2020 0 repositories listed
• Learning to Profile: User Meta-Profile Network for Few-Shot Learning
  21 Aug 2020 0 repositories listed
• Gradients as a Measure of Uncertainty in Neural Networks
  18 Aug 2020 0 repositories listed
• Improving Face Recognition by Clustering Unlabeled Faces in the Wild
  14 Jul 2020 0 repositories listed
• Contrastive Training for Improved Out-of-Distribution Detection
  10 Jul 2020 0 repositories listed
• Revisiting One-vs-All Classifiers for Predictive Uncertainty and Out-of-Distribution Detection in Neural Networks
  10 Jul 2020 0 repositories listed
• Soft Labeling Affects Out-of-Distribution Detection of Deep Neural Networks
  7 Jul 2020 0 repositories listed
• The Effect of Optimization Methods on the Robustness of Out-of-Distribution Detection Approaches
  25 Jun 2020 0 repositories listed
• Density of States Estimation for Out-of-Distribution Detection
  16 Jun 2020 0 repositories listed
• Mean-Field Approximation to Gaussian-Softmax Integral with Application to Uncertainty Estimation
  13 Jun 2020 0 repositories listed
• Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks
  16 May 2020 0 repositories listed
• Conservative Uncertainty Estimation By Fitting Prior Networks
  1 May 2020 0 repositories listed
• TraDE: Transformers for Density Estimation
  6 Apr 2020 0 repositories listed
• Hybrid Models for Open Set Recognition
  27 Mar 2020 0 repositories listed
• Out-of-Distribution Detection for Skin Lesion Images with Deep Isolation Forest
  20 Mar 2020 0 repositories listed
• Out-of-Distribution Detection in Multi-Label Datasets using Latent Space of β-VAE
  10 Mar 2020 0 repositories listed
• Kullback-Leibler Divergence-Based Out-of-Distribution Detection with Flow-Based Generative Models
  9 Feb 2020 0 repositories listed
• Real-time Out-of-distribution Detection in Learning-Enabled Cyber-Physical Systems
  28 Jan 2020 0 repositories listed
• Efficient Out-of-Distribution Detection in Digital Pathology Using Multi-Head Convolutional Neural Networks
  25 Jan 2020 0 repositories listed
• Which MOoD Methods work? A Benchmark of Medical Out of Distribution Detection
  25 Jan 2020 0 repositories listed
• Out-of-Distribution Detection Using Layerwise Uncertainty in Deep Neural Networks
  1 Jan 2020 0 repositories listed
• TRADI: Tracking deep neural network weight distributions for uncertainty estimation
  24 Dec 2019 0 repositories listed
• Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection
  11 Dec 2019 0 repositories listed
• Why Should we Combine Training and Post-Training Methods for Out-of-Distribution Detection?
  5 Dec 2019 0 repositories listed
• Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation
  29 Nov 2019 0 repositories listed
• Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models
  18 Nov 2019 0 repositories listed
• Out of distribution detection for intra-operative functional imaging
  5 Nov 2019 0 repositories listed
• Are Out-of-Distribution Detection Methods Effective on Large-Scale Datasets?
  30 Oct 2019 0 repositories listed
• Unsupervised Out-of-Distribution Detection with Batch Normalization
  21 Oct 2019 0 repositories listed
• Fourier networks for uncertainty estimates and out-of-distribution detection
  25 Sep 2019 0 repositories listed
• Neural Network Out-of-Distribution Detection for Regression Tasks
  25 Sep 2019 0 repositories listed
• Out-of-distribution Detection in Few-shot Classification
  25 Sep 2019 0 repositories listed
• Out-of-Distribution Image Detection Using the Normalized Compression Distance
  25 Sep 2019 0 repositories listed
• Simultaneous Classification and Out-of-Distribution Detection Using Deep Neural Networks
  25 Sep 2019 0 repositories listed
• Uncertainty-Aware Prediction for Graph Neural Networks
  25 Sep 2019 0 repositories listed
• Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers?
  26 Aug 2019 0 repositories listed
• Density estimation in representation space to predict model uncertainty
  20 Aug 2019 0 repositories listed
• Out-of-Distribution Detection Using Neural Rendering Generative Models
  10 Jul 2019 0 repositories listed
• Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections
  30 May 2019 0 repositories listed
• Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning
  8 Jan 2019 0 repositories listed
• Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance
  6 Dec 2018 0 repositories listed
• A Variational Dirichlet Framework for Out-of-Distribution Detection
  18 Nov 2018 0 repositories listed
• On the Confidence of Neural Network Predictions for some NLP Tasks
  22 Oct 2018 0 repositories listed
• Discriminative out-of-distribution detection for semantic segmentation
  23 Aug 2018 0 repositories listed
• Out-of-Distribution Detection using Multiple Semantic Label Representations
  20 Aug 2018 0 repositories listed
• High-Resolution Mammogram Synthesis using Progressive Generative Adversarial Networks
  9 Jul 2018 0 repositories listed