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Novelty Detection

Scientific Novelty Detection

Papers

Showing 5175 of 249 papers

TitleStatusHype
Novelty Detection on Radio Astronomy Data using SignaturesCode0
Towards Explainable, Safe Autonomous Driving with Language Embeddings for Novelty Identification and Active Learning: Framework and Experimental Analysis with Real-World Data Sets0
Self-supervised New Activity Detection in Sensor-based Smart Environments0
Wasserstein Distance-based Expansion of Low-Density Latent Regions for Unknown Class DetectionCode0
Managing the unknown: a survey on Open Set Recognition and tangential areas0
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models0
Incremental Object-Based Novelty Detection with Feedback Loop0
Transductive conformal inference with adaptive scoresCode0
Novelty Detection in Reinforcement Learning with World Models0
Diversity for Contingency: Learning Diverse Behaviors for Efficient Adaptation and Transfer0
OpenPatch: a 3D patchwork for Out-Of-Distribution detection0
Robust Novelty Detection through Style-Conscious Feature RankingCode0
Environment-biased Feature Ranking for Novelty Detection Robustness0
Continual Improvement of Threshold-Based Novelty Detection0
Language Models for Novelty Detection in System Call Traces0
Information Processing by Neuron Populations in the Central Nervous System: Mathematical Structure of Data and Operations0
Searching for Novel Chemistry in Exoplanetary Atmospheres using Machine Learning for Anomaly Detection0
Multi-Scale Memory Comparison for Zero-/Few-Shot Anomaly Detection0
Adaptive learning of density ratios in RKHS0
Zero-Shot Anomaly Detection with Pre-trained Segmentation Models0
Unsupervised Anomaly Detection via Nonlinear Manifold Learning0
WePaMaDM-Outlier Detection: Weighted Outlier Detection using Pattern Approaches for Mass Data Mining0
A Robust Likelihood Model for Novelty Detection0
A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution0
RSC-VAE: Recoding Semantic Consistency Based VAE for One-Class Novelty Detection0
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