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Novelty Detection

Scientific Novelty Detection

Papers

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Showing 51–100 of 249 papers

TitleStatusHype
Unsupervised Novelty Detection Methods Benchmarking with Wavelet DecompositionCode0
Deep Transfer Learning for Multiple Class Novelty DetectionCode0
OCmst: One-class Novelty Detection using Convolutional Neural Network and Minimum Spanning TreesCode0
Derandomized Novelty Detection with FDR Control via Conformal E-valuesCode0
AquaSignal: An Integrated Framework for Robust Underwater Acoustic AnalysisCode0
Generative Probabilistic Novelty Detection with Adversarial AutoencodersCode0
Novelty Detection via Robust Variational AutoencodingCode0
NovelCraft: A Dataset for Novelty Detection and Discovery in Open WorldsCode0
Application of SsVGMM to medical data-classification with novelty detectionCode0
q-Space Novelty Detection with Variational AutoencodersCode0
Novelty Detection and Analysis of Traffic Scenario Infrastructures in the Latent Space of a Vision Transformer-Based Triplet AutoencoderCode0
Metric Learning for Novelty and Anomaly DetectionCode0
Self-supervised network distillation: an effective approach to exploration in sparse reward environmentsCode0
A Post-processing Method for Detecting Unknown Intent of Dialogue System via Pre-trained Deep Neural Network ClassifierCode0
Novelty Detection in Sequential Data by Informed Clustering and ModelingCode0
EX2: Exploration with Exemplar Models for Deep Reinforcement LearningCode0
Semi-supervised novelty detection using ensembles with regularized disagreementCode0
Adaptive novelty detection with false discovery rate guaranteeCode0
Latent Space Autoregression for Novelty DetectionCode0
Learning Deep Features for One-Class ClassificationCode0
Margin-Aware Intra-Class Novelty Identification for Medical ImagesCode0
Enhancing Multiple Reliability Measures via Nuisance-extended Information BottleneckCode0
Deep Unknown Intent Detection with Margin LossCode0
Adversarially Learned One-Class Classifier for Novelty DetectionCode0
Efficient SVDD Sampling with Approximation Guarantees for the Decision BoundaryCode0
Multivariate Triangular Quantile Maps for Novelty DetectionCode0
Efficient Novelty Detection Methods for Early Warning of Potential Fatal DiseasesCode0
Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging DataCode0
Killing it with Zero-Shot: Adversarially Robust Novelty DetectionCode0
Measuring the Novelty of Natural Language Text Using the Conjunctive Clauses of a Tsetlin Machine Text ClassifierCode0
Adversarially Robust One-class Novelty DetectionCode0
Novelty Goes Deep. A Deep Neural Solution To Document Level Novelty DetectionCode0
Novelty Detection on Radio Astronomy Data using SignaturesCode0
SHELS: Exclusive Feature Sets for Novelty Detection and Continual Learning Without Class BoundariesCode0
Dynamic Horizon Value Estimation for Model-based Reinforcement Learning—0
DODEM: DOuble DEfense Mechanism Against Adversarial Attacks Towards Secure Industrial Internet of Things Analytics—0
Document Level Novelty Detection: Textual Entailment Lends a Helping Hand—0
Diversity for Contingency: Learning Diverse Behaviors for Efficient Adaptation and Transfer—0
Autoencoder-based Semantic Novelty Detection: Towards Dependable AI-based Systems—0
Distance-based Confidence Score for Neural Network Classifiers—0
Difference-Seeking Generative Adversarial Network--Unseen Sample Generation—0
A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution—0
Detecting Novel Processes with CANDIES -- An Holistic Novelty Detection Technique based on Probabilistic Models—0
Detecting bird sound in unknown acoustic background using crowdsourced training data—0
A Survey on Open Set Recognition—0
Anomaly Detection in Predictive Maintenance: A New Evaluation Framework for Temporal Unsupervised Anomaly Detection Algorithms—0
Adaptive learning of density ratios in RKHS—0
Deep Variational Semi-Supervised Novelty Detection—0
A Survey of Inductive Biases for Factorial Representation-Learning—0
Deep Learning for Anomaly Detection: A Review—0
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