🔢 Embeddings

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

AI Summarization Optimization
schneier.com·1d·
Discuss: Hacker News
⛰️Gradient Descent
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Post-training methods for language models
developers.redhat.com·6h
⛰️Gradient Descent
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SciTextures: Collecting and Connecting Visual Patterns, Models, and Code Across Science and Art
arxiv.org·8h
📐Computational Geometry
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Region-Aware Reconstruction Strategy for Pre-training fMRI Foundation Model
arxiv.org·8h
🗺️UMAP
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DynBERG: Dynamic BERT-based Graph neural network for financial fraud detection
arxiv.org·8h
🗺️Network Visualization
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When to Trust the Answer: Question-Aligned Semantic Nearest Neighbor Entropy for Safer Surgical VQA
arxiv.org·8h
🗺️Manifold Learning
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Efficient Curvature-aware Graph Network
arxiv.org·8h
🗺️Network Visualization
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Phased DMD: Few-step Distribution Matching Distillation via Score Matching within Subintervals
arxiv.org·1d
⛰️Gradient Descent
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Bio-Inspired Neuron Synapse Optimization for Adaptive Learning and Smart Decision-Making
arxiv.org·8h
⛰️Gradient Descent
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ParaScopes: What do Language Models Activations Encode About Future Text?
arxiv.org·8h
🔗Markov Chains
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Anatomically Constrained Transformers for Echocardiogram Analysis
arxiv.org·8h
🗺️UMAP
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HUME: Measuring the Human-Model Performance Gap in Text Embedding Task
paperium.net·3d·
Discuss: DEV
🗺️UMAP
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LinEAS: End-to-end Learning of Activation Steering with a Distributional Loss
machinelearning.apple.com·1d
⛰️Gradient Descent
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Contrastive Knowledge Transfer and Robust Optimization for Secure Alignment of Large Language Models
arxiv.org·1d
⛰️Gradient Descent
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Thought-For-Food: Reasoning Chain Induced Food Visual Question Answering
arxiv.org·8h
🗺️UMAP
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MedRECT: A Medical Reasoning Benchmark for Error Correction in Clinical Texts
arxiv.org·8h
📄FASTQ
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Erasing 'Ugly' from the Internet: Propagation of the Beauty Myth in Text-Image Models
arxiv.org·8h
📦Pseudobulk
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ROVER: Benchmarking Reciprocal Cross-Modal Reasoning for Omnimodal Generation
arxiv.org·8h
🗺️Manifold Learning
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Beyond Brute Force: AI That Thinks Like an Engineer by Arvind Sundararajan
dev.to·1d·
Discuss: DEV
⛰️Gradient Descent
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HyFormer-Net: A Synergistic CNN-Transformer with Interpretable Multi-Scale Fusion for Breast Lesion Segmentation and Classification in Ultrasound Images
arxiv.org·8h
🗺️UMAP
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