Novelty Detection

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

30 shown of 84 papers with code (249 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Word-level Human Interpretable Scoring Mechanism for Novel Text Detection Using Tsetlin Machines
  10 May 2021 6 repositories listed
  Our approach encodes a description of the novel documents using the linguistic patterns captured by TM clauses.
• Anomaly Detection via Reverse Distillation from One-Class Embedding
  26 Jan 2022 5 repositories listed Syntology ran 14 of 18 samples · 4 unverified · 15 pointer-only (licence)
  Knowledge distillation (KD) achieves promising results on the challenging problem of unsupervised anomaly detection (AD).
• Measuring the Novelty of Natural Language Text Using the Conjunctive Clauses of a Tsetlin Machine Text Classifier
  17 Nov 2020 5 repositories listed
  The mechanism uses the conjunctive clauses of the TM to measure to what degree a text matches the classes covered by the training data.
• Adversarially Learned One-Class Classifier for Novelty Detection
  25 Feb 2018 5 repositories listed
  Our architecture is composed of two deep networks, each of which trained by competing with each other while collaborating to understand the underlying concept in the target class, and then classify the testing samples.
• Learning Deep Features for One-Class Classification
  16 Jan 2018 5 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  We propose a deep learning-based solution for the problem of feature learning in one-class classification.
• Generalized Out-of-Distribution Detection: A Survey
  21 Oct 2021 4 repositories listed
  In this survey, we first present a unified framework called generalized OOD detection, which encompasses the five aforementioned problems, i.
• One-Class Convolutional Neural Network
  24 Jan 2019 4 repositories listed
  We present a novel Convolutional Neural Network (CNN) based approach for one class classification.
• APRIL-GAN: A Zero-/Few-Shot Anomaly Classification and Segmentation Method for CVPR 2023 VAND Workshop Challenge Tracks 1&2: 1st Place on Zero-shot AD and 4th Place on Few-shot AD
  27 May 2023 2 repositories listed Syntology ran 4 of 10 samples · 6 unverified
  In this challenge, our method achieved first place in the zero-shot track, especially excelling in segmentation with an impressive F1 score improvement of 0.
• SimpleNet: A Simple Network for Image Anomaly Detection and Localization
  27 Mar 2023 2 repositories listed Syntology ran 10 of 17 samples · 7 unverified
  SimpleNet consists of four components: (1) a pre-trained Feature Extractor that generates local features, (2) a shallow Feature Adapter that transfers local features towards target domain, (3) a simple Anomaly Feature…
• Self-supervised network distillation: an effective approach to exploration in sparse reward environments
  22 Feb 2023 2 repositories listed
  The solution to such a problem may be to equip the agent with an intrinsic motivation that will provide informed exploration during which the agent is likely to also encounter external reward.
• NovelCraft: A Dataset for Novelty Detection and Discovery in Open Worlds
  23 Jun 2022 2 repositories listed
  In order for artificial agents to successfully perform tasks in changing environments, they must be able to both detect and adapt to novelty.
• Efficient SVDD Sampling with Approximation Guarantees for the Decision Boundary
  29 Sep 2020 2 repositories listed
  Our approach is to frame SVDD sampling as an optimization problem, where constraints guarantee that sampling indeed approximates the original decision boundary.
• TAP-DLND 1.0 : A Corpus for Document Level Novelty Detection
  20 Feb 2018 2 repositories listed
  Detecting novelty of an entire document is an Artificial Intelligence (AI) frontier problem that has widespread NLP applications, such as extractive document summarization, tracking development of news events,…
• AquaSignal: An Integrated Framework for Robust Underwater Acoustic Analysis
  20 May 2025 1 repository listed
  This paper presents AquaSignal, a modular and scalable pipeline for preprocessing, denoising, classification, and novelty detection of underwater acoustic signals.
• Open-Set Gait Recognition from Sparse mmWave Radar Point Clouds
  10 Mar 2025 1 repository listed
  In this work, we tackle the challenging problem of Open-set Gait Recognition (OSGR) from sparse mmWave radar point clouds.
• Killing it with Zero-Shot: Adversarially Robust Novelty Detection
  25 Jan 2025 1 repository listed
  By incorporating robust pretrained features into the k-NN algorithm, we establish a new standard for performance and robustness in the field of robust ND.
• Redefining Normal: A Novel Object-Level Approach for Multi-Object Novelty Detection
  15 Dec 2024 1 repository listed
  Adapting to our object-level definition of `normal', we modify knowledge distillation frameworks, where a student network learns from a pre-trained teacher network.
• Unsupervised Novelty Detection Methods Benchmarking with Wavelet Decomposition
  11 Sep 2024 1 repository listed
  Novelty detection is a critical task in various engineering fields.
• Universal Novelty Detection Through Adaptive Contrastive Learning
  20 Aug 2024 1 repository listed Syntology ran 10 of 11 samples · 1 unverified
  More precisely, for novelty detection, distribution shifts may occur in the training set or the test set.
• Infinite-dimensional Mahalanobis Distance with Applications to Kernelized Novelty Detection
  16 Jul 2024 1 repository listed
  Using the variance norm, we introduce the notion of a kernelized nearest-neighbour Mahalanobis distance.
• Novelty Detection on Radio Astronomy Data using Signatures
  22 Feb 2024 1 repository listed
  We demonstrate how SigNova improves the detection of various types of RFI (e.
• Wasserstein Distance-based Expansion of Low-Density Latent Regions for Unknown Class Detection
  10 Jan 2024 1 repository listed
  We present a novel approach that effectively identifies unknown objects by distinguishing between high and low-density regions in latent space.
• Navigating Open Set Scenarios for Skeleton-based Action Recognition
  11 Dec 2023 1 repository listed Syntology ran 8 of 12 samples · 4 unverified · 12 pointer-only (licence)
  In real-world scenarios, human actions often fall outside the distribution of training data, making it crucial for models to recognize known actions and reject unknown ones.
• Transductive conformal inference with adaptive scores
  27 Oct 2023 1 repository listed
  Conformal inference is a fundamental and versatile tool that provides distribution-free guarantees for many machine learning tasks.
• Robust Novelty Detection through Style-Conscious Feature Ranking
  5 Oct 2023 1 repository listed
  This distinction forms the basis for robust novelty detection, emphasizing the identification of semantic changes resilient to style distributional shifts.
• Beyond Citations: Measuring Novel Scientific Ideas and their Impact in Publication Text
  28 Sep 2023 1 repository listed
  New scientific ideas drive progress, yet measuring scientific novelty remains challenging.
• 2nd Place Winning Solution for the CVPR2023 Visual Anomaly and Novelty Detection Challenge: Multimodal Prompting for Data-centric Anomaly Detection
  15 Jun 2023 1 repository listed
  This technical report introduces the winning solution of the team Segment Any Anomaly for the CVPR2023 Visual Anomaly and Novelty Detection (VAND) challenge.
• Signal Novelty Detection as an Intrinsic Reward for Robotics
  14 Apr 2023 1 repository listed
  In advanced robot control, reinforcement learning is a common technique used to transform sensor data into signals for actuators, based on feedback from the robot’s environment.
• Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck
  24 Mar 2023 1 repository listed
  In practical scenarios where training data is limited, many predictive signals in the data can be rather from some biases in data acquisition (i.
• Derandomized Novelty Detection with FDR Control via Conformal E-values
  14 Feb 2023 1 repository listed
  Conformal inference provides a general distribution-free method to rigorously calibrate the output of any machine learning algorithm for novelty detection.

Syntology lines on 6 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.