🔢 Embeddings

Vector Representations, Semantic Search, Similarity, Text Encoding, Neural Networks

How Transformer Models Detect Anomalies in System Logs
hackernoon.com·19h
📊Empirical Bayes
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Can-t stop till you get enough
cant.bearblog.dev·1d·
Discuss: Hacker News
🗂️AnnData
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FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applications
arxiv.org·7h
🚀Streamlit
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Predicting Encoding Energy from Low-Pass Anchors for Green Video Streaming
arxiv.org·7h
🔲Zarr
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Hydra: Dual Exponentiated Memory for Multivariate Time Series Analysis
arxiv.org·7h
⛰️Gradient Descent
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Spatial Secrets: Unleashing Language Models with Unexpected Masking by Arvind Sundararajan
dev.to·7h·
Discuss: DEV
🗺️Spatial Transcriptomics
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Building MultiLingo: An AI Translation Agent with Telex Integration
dev.to·18h·
Discuss: DEV
🚀Streamlit
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Engineering.ai: A Platform for Teams of AI Engineers in Computational Design
arxiv.org·7h
📐Computational Geometry
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Measuring Machine Companionship: Scale Development and Validation for AI Companions
arxiv.org·7h
🗺️UMAP
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Gaining Momentum: Uncovering Hidden Scoring Dynamics in Hockey through Deep Neural Sequencing and Causal Modeling
arxiv.org·7h
⛰️Gradient Descent
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Multi-Representation Attention Framework for Underwater Bioacoustic Denoising and Recognition
arxiv.org·1d
⛰️Gradient Descent
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Balanced Multimodal Learning via Mutual Information
arxiv.org·7h
🗺️UMAP
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Understanding Support Vector Machines SVM: Origins, Working, and Real-World Applications
dev.to·1d·
Discuss: DEV
🗺️UMAP
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NOMAD - Navigating Optimal Model Application to Datastreams
arxiv.org·7h
⛰️Gradient Descent
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Reversal Invariance in Autoregressive Language Models
arxiv.org·7h
⛰️Gradient Descent
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Wave-Particle (Continuous-Discrete) Dualistic Visual Tokenization for Unified Understanding and Generation
arxiv.org·7h
📐Computational Geometry
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Transformer-Based Decoding in Concatenated Coding Schemes Under Synchronization Errors
arxiv.org·7h
🔲Zarr
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The case against pgvector
simonwillison.net·16h
🔲Zarr
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Multi-Modal Feature Fusion for Spatial Morphology Analysis of Traditional Villages via Hierarchical Graph Neural Networks
arxiv.org·1d
🗺️UMAP
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Approximating Young Measures With Deep Neural Networks
arxiv.org·7h
⛰️Gradient Descent
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