Ultra-Quantisation: Efficient Embedding Search via 1.58-bit Encodings

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Connor, Richard, Dearle, Alan, Claydon, Ben
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Databases
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

HAKES: Scalable Vector Database for Embedding Search Service
by: Hu, Guoyu, et al.
Published: (2025)

1.58-bit FLUX
by: Yang, Chenglin, et al.
Published: (2024)

Demonstration of MaskSearch: Efficiently Querying Image Masks for Machine Learning Workflows
by: Wei, Lindsey Linxi, et al.
Published: (2024)

Observatory: Characterizing Embeddings of Relational Tables
by: Cong, Tianji, et al.
Published: (2023)

Selecting Walk Schemes for Database Embedding
by: Lubarsky, Yuval Lev, et al.
Published: (2024)

gHAWK: Local and Global Structure Encoding for Scalable Training of Graph Neural Networks on Knowledge Graphs
by: Sabir, Humera, et al.
Published: (2025)

An Encode-then-Decompose Approach to Unsupervised Time Series Anomaly Detection on Contaminated Training Data--Extended Version
by: Zhang, Buang, et al.
Published: (2025)

VectorSearch: Enhancing Document Retrieval with Semantic Embeddings and Optimized Search
by: Monir, Solmaz Seyed, et al.
Published: (2024)

Gem: Gaussian Mixture Model Embeddings for Numerical Feature Distributions
by: Rauf, Hafiz Tayyab, et al.
Published: (2024)

Efficient Vector Search in the Wild: One Model for Multi-K Queries
by: Peng, Yifan, et al.
Published: (2026)

Skeleton-Guided Learning for Shortest Path Search
by: Liu, Tiantian, et al.
Published: (2025)

Explainable Graph Neural Architecture Search via Monte-Carlo Tree Search (Full version)
by: Sasaki, Yuya
Published: (2023)

Towards Universal Tabular Embeddings: A Benchmark Across Data Tasks
by: Vogel, Liane, et al.
Published: (2026)

LeanVec: Searching vectors faster by making them fit
by: Tepper, Mariano, et al.
Published: (2023)

SEAnet: A Deep Learning Architecture for Data Series Similarity Search
by: Wang, Qitong, et al.
Published: (2026)

The Hybrid Multimodal Graph Index (HMGI): A Comprehensive Framework for Integrated Relational and Vector Search
by: Chandra, Joydeep, et al.
Published: (2025)

MaskSearch: Querying Image Masks at Scale
by: He, Dong, et al.
Published: (2023)

Implementing Semantic Join Operators Efficiently
by: Trummer, Immanuel
Published: (2025)

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
by: Ma, Shuming, et al.
Published: (2024)

Explainable Disparity Compensation for Efficient Fair Ranking
by: Gale, Abraham, et al.
Published: (2023)

Efficient Discovery of Significant Patterns with Few-Shot Resampling
by: Pellegrina, Leonardo, et al.
Published: (2024)

Efficient Data Access Paths for Mixed Vector-Relational Search
by: Sanca, Viktor, et al.
Published: (2024)

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching
by: Tian, Wei, et al.
Published: (2025)

CLAD: Efficient Log Anomaly Detection Directly on Compressed Representations
by: Tang, Benzhao, et al.
Published: (2026)

Theoretically and Practically Efficient Resistance Distance Computation on Large Graphs
by: Yang, Yichun, et al.
Published: (2026)

RLOMM: An Efficient and Robust Online Map Matching Framework with Reinforcement Learning
by: Chen, Minxiao, et al.
Published: (2025)

Efficient Discovery of Motif Transition Process for Large-Scale Temporal Graphs
by: Zheng, Zhiyuan, et al.
Published: (2025)

NeurStore: Efficient In-database Deep Learning Model Management System
by: Xiang, Siqi, et al.
Published: (2025)

RELOAD: A Robust and Efficient Learned Query Optimizer for Database Systems
by: Lee, Seokwon, et al.
Published: (2026)

Unifews: You Need Fewer Operations for Efficient Graph Neural Networks
by: Liao, Ningyi, et al.
Published: (2024)

MISFEAT: Feature Selection for Subgroups with Systematic Missing Data
by: Genossar, Bar, et al.
Published: (2024)

Graph2Region: Efficient Graph Similarity Learning with Structure and Scale Restoration
by: Liu, Zhouyang, et al.
Published: (2025)

Is it Bigger than a Breadbox: Efficient Cardinality Estimation for Real World Workloads
by: Yi, Zixuan, et al.
Published: (2025)

Efficient Data Valuation Approximation in Federated Learning: A Sampling-based Approach
by: Wei, Shuyue, et al.
Published: (2025)

QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models -- Extended Version
by: Campos, David, et al.
Published: (2024)

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data
by: Papadias, Serafeim, et al.
Published: (2026)

C$^{2}$TC: A Training-Free Framework for Efficient Tabular Data Condensation
by: Xu, Sijia, et al.
Published: (2026)

meds_reader: A fast and efficient EHR processing library
by: Steinberg, Ethan, et al.
Published: (2024)

SafeLoad: Efficient Admission Control Framework for Identifying Memory-Overloading Queries in Cloud Data Warehouses
by: Wu, Yifan, et al.
Published: (2026)

Preventing the Popular Item Embedding Based Attack in Federated Recommendations
by: Zhang, Jun, et al.
Published: (2025)