Robuta

https://mmdetection.org/ MMDetection – Powerful AI Object Detection Models & Tool Apr 30, 2026 - MMDetection delivers cutting-edge object detection solutions with optimized models, modular design, and seamless integration for AI development. #MMDetection ai objectdetection modelsmmdetectionpowerfultool https://aclanthology.org/2025.coling-main.585/ PARAPHRASUS: A Comprehensive Benchmark for Evaluating Paraphrase Detection Models - ACL Anthology Andrianos Michail, Simon Clematide, Juri Opitz. Proceedings of the 31st International Conference on Computational Linguistics. 2025. paraphrase detectioncomprehensivebenchmark https://www.ycombinator.com/companies/dragoneye Dragoneye: Custom video detection models in less than 5 minutes | Y Combinator Custom video detection models in less than 5 minutes. Founded in 2023 by Alex Liao, Dragoneye has 2 employees based in New York, NY, USA. custom videodetection models https://openreview.net/forum?id=GN9otzf5o6&referrer=%5BAuthor%20Console%5D(%2Fgroup%3Fid%3DICLR.cc%2F2026%2FConference%2FAuthors%23your-submissions) Inlier-Centric Post-Training Quantization for Object Detection Models | OpenReview Object detection is pivotal in computer vision, yet its immense computational demands make deployment slow and power-hungry, motivating quantization. However,... post trainingobject detectioninliercentricquantization https://app.resemble.ai/ Resemble AI - AI Speech & Detection Models Create realistic AI voices, transform speech, and detect AI-generated audio, video, and images with Resemble AI. resemble aispeech detectionmodels https://arxiv.org/html/2502.21112v2 Optimizing Large Language Models for ESG Activity Detection in Financial Texts large language modelsesg activityoptimizing https://arxiv.org/abs/2504.17004 [2504.17004] (Im)possibility of Automated Hallucination Detection in Large Language Models Abstract page for arXiv paper 2504.17004: (Im)possibility of Automated Hallucination Detection in Large Language Models https://aclanthology.org/2024.propor-1.31/ Exploring Portuguese Hate Speech Detection in Low-Resource Settings: Lightly Tuning Encoder Models... Gabriel Assis, Annie Amorim, Jonnathan Carvalho, Daniel de Oliveira, Daniela Vianna, Aline Paes. Proceedings of the 16th International Conference on... low resource settings https://openreview.net/forum?id=LLtAgx6qH1 Single-pass detection of jailbreaking input in large language models | OpenReview Recent advancements have exposed the vulnerability of aligned large language models (LLMs) to jailbreaking attacks, which sparked a current wave of research on... large language modelssingle passdetectionjailbreaking https://aclanthology.org/2021.naacl-industry.35/ Training Language Models under Resource Constraints for Adversarial Advertisement Detection - ACL... Eshwar Shamanna Girishekar, Shiv Surya, Nishant Nikhil, Dyut Kumar Sil, Sumit Negi, Aruna Rajan. Proceedings of the 2021 Conference of the North American... training language modelsresource constraints https://www.easychair.org/publications/preprint/GQsh Adversarial Attacks on BERT-Based Fake News Detection Models fake news detectionadversarial attacksbertbasedmodels https://deepai.org/publication/anomaly-detection-at-scale-the-case-for-deep-distributional-time-series-models Anomaly Detection at Scale: The Case for Deep Distributional Time Series Models | DeepAI Jul 30, 2020 - 07/30/20 - This paper introduces a new methodology for detecting anomalies in time series data, with a primary application to monitoring the ... https://castbox.fm/episode/EP267-AI-SOC-or-AI-in-a-SOC--Cutting-Through-Hype%2C-Pricing-Models%2C-and-SIEM-Detection-Efficacy-with-Raffy-Marty-id3830644-id920616987 EP267 AI SOC or AI in a SOC? Cutting Through Hype, Pricing Models, and SIEM Detection Efficacy with... https://deepai.org/publication/language-models-for-novelty-detection-in-system-call-traces Language Models for Novelty Detection in System Call Traces | DeepAI Sep 5, 2023 - 09/05/23 - Due to the complexity of modern computer systems, novel and unexpected behaviors frequently occur. Such deviations are either norm... language modelsnovelty detectionsystem calltracesdeepai https://www.isi.edu/results/publications/24380/a-comparison-of-foundation-and-supervised-learning-models-for-automated-detection-of-referable-glaucoma-from-fundus-photographs/ A comparison of foundation and supervised learning models for automated detection of referable... Purpose: To compare the performance of a fine-tuned foundation model against a supervised learning-based transfer learning model in detecting referable... a comparisonsupervised learning https://www.scirp.org/journal/paperinformation?paperid=128967 A Stacking-Based Ensemble Approach with Embeddings from Language Models for Depression Detection... Depression is a major public health problem around the world and contributes significantly to poor health and poverty. The rate of the number of people being... https://www.omicsonline.org/proceedings/detection-of-lou-gehrigs-disease-and-parkinsons-disease-in-rat-models-through-locomotion-analysis-4918.html Detection Of Lou Gehrig?s Disease And Parkinson?s Disease In Rat Models Through Locomotion Analysis... A non-invasive locomotion analysis approach is described to detect locomotion deficiencies due to amyotrophic lateral sclerosis (ALS) (also called Lou... lou gehrig s disease https://www.databricks.com/blog/training-10000-anomaly-detection-models-one-billion-records-explainable-predictions Training 10,000 Anomaly Detection Models on One Billion Records with Explainable Predictions |... An in-depth look at how the DAXS methodology leverages scalable, explainable anomaly detection for predictive maintenance in manufacturing, using Databricks to... https://www.westernsydney.edu.au/icns/research-projects/open-phd-projects/underwater-acoustic-drone-detection-via-neuromorphic-models-of-marine-mammal-audition Underwater Acoustic Drone Detection via Neuromorphic Models of Marine Mammal Audition Marine mammals, like dolphins and whales, possess exceptional auditory systems, enabling them to navigate and communicate efficiently in the underwater world,... underwater acousticdrone detectionmarine mammalvia https://arxiv.org/abs/2603.17570v1 [2603.17570v1] FoMo X: Modular Explainability Signals for Outlier Detection Foundation Models Abstract page for arXiv paper 2603.17570v1: FoMo X: Modular Explainability Signals for Outlier Detection Foundation Models https://deepai.org/publication/a-novel-hierarchical-intrusion-detection-system-based-on-decision-tree-and-rules-based-models A Novel Hierarchical Intrusion Detection System based on Decision Tree and Rules-based Models |... Dec 21, 2018 - 12/21/18 - This paper proposes a novel intrusion detection system (IDS) that combines different classifier approaches which are based on deci... intrusion detection system