🔍 Vector Search - tomasz · Scour

Self-supervised local learning rules learn the hidden hierarchical structure of high-dimensional data 🤖Machine Learning

GOMA: Toward Structure-Driven Multimodal Alignment from a Graph Signal Smoothing Perspective 👁️Computer Vision

Semantic Search to Glean Valuable Insights from Podcast- Part 3 🌱Stemming

mlops.community·5d

Text-Guided Visual Representation Learning for Robust Multimodal E-Commerce Recommendation 🔗RAG

Semantic Search to Glean Valuable Insights from Podcast Series Part 2 🎙️Podcast Production

mlops.community·5d

How Multimodal Vector Databases Are Transforming Challenges Across Industries 🌱Stemming

mlops.community·5d

jina-embeddings-v5-omni: Geometry-preserving Embeddings via Locked Aligned Towers 🔗RAG

ML-Embed: Inclusive and Efficient Embeddings for a Multilingual World 🔗RAG

Rethinking the Good Enough Embedding for Easy Few-Shot Learning 💬Prompt Engineering

Beyond Similarity Search: Tenure and the Case for Structured Belief State in LLM Memory 🔢Kolmogorov Complexity

Uncovering Symmetry Transfer in Large Language Models via Layer-Peeled Optimization 🔗RAG

Task-Adaptive Embedding Refinement via Test-time LLM Guidance 🔗RAG

A Unified Geometric Framework for Weighted Contrastive Learning 🔗RAG

A Picture is Worth a Thousand Words? An Empirical Study of Aggregation Strategies for Visual Financial Document Retrieval 🔍Information Retrieval

Think When Needed: Adaptive Reasoning-Driven Multimodal Embeddings with a Dual-LoRA Architecture 🧠LLM Reasoning

Geometric Factual Recall in Transformers 🤖Transformer Architecture

Solve the Loop: Attractor Models for Language and Reasoning 🧠LLM Reasoning

SCOPE: Siamese Contrastive Operon Pair Embeddings for Functional Sequence Representation and Classification 🔢Kolmogorov Complexity

RQ-MoE: Residual Quantization via Mixture of Experts for Efficient Input-Dependent Vector Compression 🔢Kolmogorov Complexity

Mechanistic Interpretability of EEG Foundation Models via Sparse Autoencoders 🔢Kolmogorov Complexity

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