Learned Data Compression: Challenges and Opportunities for the Future
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Qiyu, Han, Siyuan, Liao, Jianwei, Li, Jin, Peng, Jingshu, Du, Jun, Chen, Lei |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Synergizing Data Imputation and Electronic Health Records for Advancing Prostate Cancer Research: Challenges, and Practical Applications
by: Batouche, Abderrahim Oussama, et al.
Published: (2023)
by: Batouche, Abderrahim Oussama, et al.
Published: (2023)
LIRA: A Learning-based Query-aware Partition Framework for Large-scale ANN Search
by: Zeng, Ximu, et al.
Published: (2025)
by: Zeng, Ximu, et al.
Published: (2025)
OpenZL: A Graph-Based Model for Compression
by: Collet, Yann, et al.
Published: (2025)
by: Collet, Yann, et al.
Published: (2025)
OpenZL: Using Graphs to Compress Smaller and Faster
by: Collet, Yann, et al.
Published: (2026)
by: Collet, Yann, et al.
Published: (2026)
LIST: Learning to Index Spatio-Textual Data for Embedding based Spatial Keyword Queries
by: Yin, Ziqi, et al.
Published: (2024)
by: Yin, Ziqi, et al.
Published: (2024)
GRAB-ANNS: High-Throughput Indexing and Hybrid Search via GPU-Native Bucketing
by: Zhao, Xinkui, et al.
Published: (2026)
by: Zhao, Xinkui, et al.
Published: (2026)
Combining PatternRank with Huffman Coding: A Novel Compression Algorithm
by: Shukurov, Jasurbek
Published: (2024)
by: Shukurov, Jasurbek
Published: (2024)
Personalized w-Event Privacy for Infinite Stream Estimation
by: Du, Leilei, et al.
Published: (2026)
by: Du, Leilei, et al.
Published: (2026)
On the Costs and Benefits of Learned Indexing for Dynamic High-Dimensional Data: Extended Version
by: Slanináková, Terézia, et al.
Published: (2025)
by: Slanináková, Terézia, et al.
Published: (2025)
ReSearch: A Multi-Stage Machine Learning Framework for Earth Science Data Discovery
by: Sun, Youran, et al.
Published: (2026)
by: Sun, Youran, et al.
Published: (2026)
Relational Deep Dive: Error-Aware Queries Over Unstructured Data
by: Chao, Daren, et al.
Published: (2025)
by: Chao, Daren, et al.
Published: (2025)
POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval
by: Liu, Yaoyang, et al.
Published: (2025)
by: Liu, Yaoyang, et al.
Published: (2025)
Curator: Efficient Vector Search with Low-Selectivity Filters
by: Jin, Yicheng, et al.
Published: (2026)
by: Jin, Yicheng, et al.
Published: (2026)
Starling: An I/O-Efficient Disk-Resident Graph Index Framework for High-Dimensional Vector Similarity Search on Data Segment
by: Wang, Mengzhao, et al.
Published: (2024)
by: Wang, Mengzhao, et al.
Published: (2024)
Multiple Index Merge for Approximate Nearest Neighbor Search
by: Jing, Liuchang, et al.
Published: (2026)
by: Jing, Liuchang, et al.
Published: (2026)
Efficient Data-aware Distance Comparison Operations for High-Dimensional Approximate Nearest Neighbor Search
by: Deng, Liwei, et al.
Published: (2024)
by: Deng, Liwei, et al.
Published: (2024)
Fuzzy Integration of Data Lake Tables
by: Khatiwada, Aamod, et al.
Published: (2025)
by: Khatiwada, Aamod, et al.
Published: (2025)
Data-Aware Socratic Query Refinement in Database Systems
by: Zhang, Ruiyuan, et al.
Published: (2025)
by: Zhang, Ruiyuan, et al.
Published: (2025)
Experimental Analysis of Large-scale Learnable Vector Storage Compression
by: Zhang, Hailin, et al.
Published: (2023)
by: Zhang, Hailin, et al.
Published: (2023)
Compass: General Filtered Search across Vector and Structured Data
by: Ye, Chunxiao, et al.
Published: (2025)
by: Ye, Chunxiao, et al.
Published: (2025)
LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities
by: Zhu, Yuqi, et al.
Published: (2023)
by: Zhu, Yuqi, et al.
Published: (2023)
Altar: Structuring Sharable Experimental Data from Early Exploration to Publication
by: Gaultier, William, et al.
Published: (2026)
by: Gaultier, William, et al.
Published: (2026)
HyEm: Query-Adaptive Hyperbolic Retrieval for Biomedical Ontologies via Euclidean Vector Indexing
by: Deng, Ou, et al.
Published: (2026)
by: Deng, Ou, et al.
Published: (2026)
A Word-Based Compression Technique for Text Files.
by: Vernor, Russel L., III, et al.
Published: (1978)
by: Vernor, Russel L., III, et al.
Published: (1978)
ACORN: Performant and Predicate-Agnostic Search Over Vector Embeddings and Structured Data
by: Patel, Liana, et al.
Published: (2024)
by: Patel, Liana, et al.
Published: (2024)
Pneuma: Leveraging LLMs for Tabular Data Representation and Retrieval in an End-to-End System
by: Balaka, Muhammad Imam Luthfi, et al.
Published: (2025)
by: Balaka, Muhammad Imam Luthfi, et al.
Published: (2025)
Lightweight Correlation-Aware Table Compression
by: Stoian, Mihail, et al.
Published: (2024)
by: Stoian, Mihail, et al.
Published: (2024)
Why Are Learned Indexes So Effective but Sometimes Ineffective?
by: Liu, Qiyu, et al.
Published: (2024)
by: Liu, Qiyu, et al.
Published: (2024)
Simplifying Data Integration: SLM-Driven Systems for Unified Semantic Queries Across Heterogeneous Databases
by: Lin, Teng
Published: (2025)
by: Lin, Teng
Published: (2025)
SIEVE: Effective Filtered Vector Search with Collection of Indexes
by: Li, Zhaoheng, et al.
Published: (2025)
by: Li, Zhaoheng, et al.
Published: (2025)
Implementation and Privacy Guarantees for Scalable Keyword Search on SOLID-based Decentralized Data with Granular Visibility Constraints
by: Ragab, Mohamed, et al.
Published: (2026)
by: Ragab, Mohamed, et al.
Published: (2026)
LLM-Driven Data Generation and a Novel Soft Metric for Evaluating Text-to-SQL in Aviation MRO
by: Sutanto, Patrick, et al.
Published: (2025)
by: Sutanto, Patrick, et al.
Published: (2025)
AlayaLaser: Efficient Index Layout and Search Strategy for Large-scale High-dimensional Vector Similarity Search
by: Chen, Weijian, et al.
Published: (2026)
by: Chen, Weijian, et al.
Published: (2026)
WaZI: A Learned and Workload-aware Z-Index
by: Pai, Sachith, et al.
Published: (2023)
by: Pai, Sachith, et al.
Published: (2023)
Efficient Filtered-ANN via Learning-based Query Planning
by: Gan, Zhuocheng, et al.
Published: (2026)
by: Gan, Zhuocheng, et al.
Published: (2026)
CRouting: Reducing Expensive Distance Calls in Graph-Based Approximate Nearest Neighbor Search
by: Li, Zhenxin, et al.
Published: (2025)
by: Li, Zhenxin, et al.
Published: (2025)
A Survey on Open Dataset Search in the LLM Era: Retrospectives and Perspectives
by: Li, Pengyue, et al.
Published: (2025)
by: Li, Pengyue, et al.
Published: (2025)
RAIRS: Optimizing Redundant Assignment and List Layout for IVF-Based ANN Search
by: Yang, Zehai, et al.
Published: (2026)
by: Yang, Zehai, et al.
Published: (2026)
Lossless Compression of Vector IDs for Approximate Nearest Neighbor Search
by: Severo, Daniel, et al.
Published: (2025)
by: Severo, Daniel, et al.
Published: (2025)
Mixed-Precision Embeddings for Large-Scale Recommendation Models
by: Li, Shiwei, et al.
Published: (2024)
by: Li, Shiwei, et al.
Published: (2024)
Similar Items
-
Synergizing Data Imputation and Electronic Health Records for Advancing Prostate Cancer Research: Challenges, and Practical Applications
by: Batouche, Abderrahim Oussama, et al.
Published: (2023) -
LIRA: A Learning-based Query-aware Partition Framework for Large-scale ANN Search
by: Zeng, Ximu, et al.
Published: (2025) -
OpenZL: A Graph-Based Model for Compression
by: Collet, Yann, et al.
Published: (2025) -
OpenZL: Using Graphs to Compress Smaller and Faster
by: Collet, Yann, et al.
Published: (2026) -
LIST: Learning to Index Spatio-Textual Data for Embedding based Spatial Keyword Queries
by: Yin, Ziqi, et al.
Published: (2024)