SOTAVerified

Novelty Detection

Scientific Novelty Detection

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 249 papers

TitleStatusHype
Deep Learning for Anomaly Detection: A Review—0
Novelty Detection in Reinforcement Learning with World Models—0
Deep Variational Semi-Supervised Novelty Detection—0
A Survey of Inductive Biases for Factorial Representation-Learning—0
Detecting bird sound in unknown acoustic background using crowdsourced training data—0
Detecting Novel Processes with CANDIES -- An Holistic Novelty Detection Technique based on Probabilistic Models—0
Difference-Seeking Generative Adversarial Network--Unseen Sample Generation—0
Distance-based Confidence Score for Neural Network Classifiers—0
On the link between generative semi-supervised learning and generative open-set recognition—0
Document Level Novelty Detection: Textual Entailment Lends a Helping Hand—0
A Contrastive Teacher-Student Framework for Novelty Detection under Style Shifts—0
Dynamic Horizon Value Estimation for Model-based Reinforcement Learning—0
Hack The Box: Fooling Deep Learning Abstraction-Based Monitors—0
Language Models for Novelty Detection in System Call Traces—0
CONCLAD: COntinuous Novel CLAss Detector—0
AquaSignal: An Integrated Framework for Robust Underwater Acoustic Analysis—0
KNN-Contrastive Learning for Out-of-Domain Intent Classification—0
Latent Space Exploration Using Generative Kernel PCA—0
Managing the unknown: a survey on Open Set Recognition and tangential areas—0
Discriminative Multi-level Reconstruction under Compact Latent Space for One-Class Novelty Detection—0
From Unsupervised to Semi-supervised Anomaly Detection Methods for HRRP Targets—0
CND-IDS: Continual Novelty Detection for Intrusion Detection Systems—0
OCKELM+: Kernel Extreme Learning Machine based One-class Classification using Privileged Information (or KOC+: Kernel Ridge Regression or Least Square SVM with zero bias based One-class Classification using Privileged Information)—0
Fast Training of Deep Networks with One-Class CNNs—0
Self-supervised New Activity Detection in Sensor-based Smart Environments—0
Gathering Cyber Threat Intelligence from Twitter Using Novelty Classification—0
Calibration of One-Class SVM for MV set estimation—0
Generative Models for Novelty Detection: Applications in abnormal event and situational change detection from data series—0
Comparison Visual Instruction Tuning—0
Global Semantic Consistency for Zero-Shot Learning—0
GODS: Generalized One-class Discriminative Subspaces for Anomaly Detection—0
GraphEval: A Lightweight Graph-Based LLM Framework for Idea Evaluation—0
Feature Extraction for Novelty Detection in Network Traffic—0
Harnessing Large Language Models for Scientific Novelty Detection—0
Hierarchical Novelty Detection for Visual Object Recognition—0
Connective Reconstruction-based Novelty Detection—0
Isolation Forest in Novelty Detection Scenario—0
Holmes: An Efficient and Lightweight Semantic Based Anomalous Email Detector—0
How to detect novelty in textual data streams? A comparative study of existing methods—0
Hypothesis-Driven Deep Learning for Out of Distribution Detection—0
Image quality assessment for closed-loop computer-assisted lung ultrasound—0
Improving auto-encoder novelty detection using channel attention and entropy minimization—0
A Robust Likelihood Model for Novelty Detection—0
Improving novelty detection with generative adversarial networks on hand gesture data—0
Keeping Deep Lithography Simulators Updated: Global-Local Shape-Based Novelty Detection and Active Learning—0
Beyond the Known: Adversarial Autoencoders in Novelty Detection—0
Evaluating the Use of Reconstruction Error for Novelty Localization—0
Information bottleneck through variational glasses—0
Information Processing by Neuron Populations in the Central Nervous System: Mathematical Structure of Data and Operations—0
A novel approach for automatic acoustic novelty detection using a denoising autoencoder with bidirectional LSTM neural networks—0
Show:102550
← PrevPage 2 of 5Next →

No leaderboard results yet.