How Transformer Models Detect Anomalies in System Logs
hackernoon.com·13h
📊Empirical Bayes
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How neuroscientists are using AI
thetransmitter.org·2h
🗺️UMAP
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A Hybrid Deep Learning and Forensic Approach for Robust Deepfake Detection
arxiv.org·1d
📦Pseudobulk
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Beyond ImageNet: Understanding Cross-Dataset Robustness of Lightweight Vision Models
arxiv.org·2h
🗺️UMAP
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Identifying the Periodicity of Information in Natural Language
arxiv.org·1d
📊Differential Expression
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The Illustrated NeurIPS 2025: A Visual Map of the AI Frontier
newsletter.languagemodels.co·15h
🗺️UMAP
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Real-time and Zero-footprint Bag of Synthetic Syllables Algorithm for E-mail Spam Detection Using Subject Line and Short Text Fields
arxiv.org·2h
📦Pseudobulk
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OMEGA: Optimized Multimodal Position Encoding Index Derivation with Global Adaptive Scaling for Vision-Language Models
arxiv.org·2h
🗺️UMAP
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The Curvature Rate {\lambda}: A Scalar Measure of Input-Space Sharpness in Neural Networks
arxiv.org·2h
🗺️Manifold Learning
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Scalable Knowledge Graph Embedding via Adaptive Dimensionality Reduction & Multi-Objective Optimization
⛰️Gradient Descent
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Balancing Interpretability and Performance in Motor Imagery EEG Classification: A Comparative Study of ANFIS-FBCSP-PSO and EEGNet
arxiv.org·2h
⛰️Gradient Descent
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Knowledge Elicitation with Large Language Models for Interpretable Cancer Stage Identification from Pathology Reports
arxiv.org·2h
📊Empirical Bayes
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Text-guided Fine-Grained Video Anomaly Detection
arxiv.org·2h
🗺️UMAP
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Probabilistic Robustness for Free? Revisiting Training via a Benchmark
arxiv.org·2h
⛰️Gradient Descent
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A Framework Based on Graph Cellular Automata for Similarity Evaluation in Urban Spatial Networks
arxiv.org·2h
🗺️Network Visualization
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FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applications
arxiv.org·2h
🚀Streamlit
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