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  1. MLP-Offload: Multi-Level, Multi-Path Offloading for LLM Pre-training to Break the GPU Memory Wall
    2025/09/02 by Maurya, Avinash, Rafique, M. Mustafa, Cappello, Franck +1 · 2 citations
    #Artificial Intelligence (cs.AI) #Distributed #E.2 #FOS: Computer and information sciences #H.2.0 #I.2.11 #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
  2. RPS: A Generic Reservoir Patterns Sampler
    2024/10/31 by Diop, Lamine, Plantevit, Marc, Soulet, Arnaud · 1 citation
    #60: Probability theory #Artificial Intelligence (cs.AI) #Combinatorics (math.CO) #E.1 #E.2 #F.2 #FOS: Computer and information sciences #FOS: Mathematics #G.3 #Machine Learning (cs.LG) #Probability (math.PR)
  3. Carefully Structured Compression: Efficiently Managing StarCraft II Data
    2024/10/11 by Ferenczi, Bryce, Newbury, Rhys, Burke, Michael +1 · 1 citation
    #E.2 #FOS: Computer and information sciences #I.2.0 #I.5.0 #Machine Learning (cs.LG)
  4. Enhancing Structured-Data Retrieval with GraphRAG: Soccer Data Case Study
    2024/09/26 by Zahra Sepasdar, Sushant Gautam, Sepasdar, Zahra +7 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Data Management and Algorithms #Data Mining Algorithms and Applications #Databases (cs.DB) #E.1 #E.2 #FOS: Computer and information sciences #Graph Theory and Algorithms #H.2 #H.3 #Information Retrieval (cs.IR)
  5. Understanding The Effectiveness of Lossy Compression in Machine Learning Training Sets
    2024/03/23 by Robert Underwood, Jon C. Calhoun, Underwood, Robert +5 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #C.4 #E.2 #FOS: Computer and information sciences #I.2.6 #Machine Learning (cs.LG) #Neural Networks and Applications
  6. Proposal for an Organic Web, The missing link between the Web and the Semantic Web, Part 1
    2023/09/19 by Mathilde Noual, Noual, Mathilde · 1 voice
    Computer Science · #Digital Libraries (cs.DL) #E.2 #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #H.3 #Information Retrieval (cs.IR) #Semantic Web and Ontologies #cs.DL #cs.ET #cs.IR
  7. Finding a Second Wind: Speeding Up Graph Traversal Queries in RDBMSs Using Column-Oriented Processing
    2023/08/16 by Mikhail V. Firsov, Michael Polyntsov, Firsov, Mikhail +5 · 1 citation
    Computer Science · #Advanced Database Systems and Queries #Data Management and Algorithms #Databases (cs.DB) #E.2 #FOS: Computer and information sciences #H.2.4 #Performance (cs.PF) #Semantic Web and Ontologies
  8. Pure Data Foundation of Mathematics and Computing
    2023/05/09 by S. Youssef, Youssef, Saul · 1 citation
    Computer Science · #03B70 (Primary) 18A15 (Secondary) #Advanced Algebra and Logic #Category Theory (math.CT) #Distributed #E.0 #E.2 #F.4.1 #FOS: Computer and information sciences #FOS: Mathematics #Logic (math.LO) #Logic, Reasoning, and Knowledge #Parallel #Rough Sets and Fuzzy Logic #and Cluster Computing (cs.DC)
  9. Hybrid Materialization in a Disk-Based Column-Store
    2023/04/17 by Klyuchikov, Evgeniy, Mikhailova, Elena, Chernishev, George · 1 citation
    #Databases (cs.DB) #E.2 #FOS: Computer and information sciences #H.2.4 #Performance (cs.PF)
  10. GreedyGD: Enhanced Generalized Deduplication for Direct Analytics in IoT
    2023/04/14 by Hurst, Aaron, Lucani, Daniel E., Zhang, Qi · 1 citation
    #Databases (cs.DB) #E.2 #FOS: Computer and information sciences
  11. Exact Learning of Multitrees and Almost-Trees Using Path Queries
    2022/08/08 by Afshar, Ramtin, Goodrich, Michael T. · 1 citation
    #Data Structures and Algorithms (cs.DS) #E.2 #F.2.0 #FOS: Computer and information sciences
  12. The Impact of Logical Errors on Quantum Algorithms
    2021/11/05 by Subasi, Omer, Krishnamoorthy, Sriram · 1 citation
    #D.4.8 #E.1 #E.2 #F.2.1 #F.2.2 #FOS: Physical sciences #Quantum Physics (quant-ph)
  13. On the Optimal Time/Space Tradeoff for Hash Tables
    2021/10/31 by Bender, Michael A., Farach-Colton, Martín, Kuszmaul, John +2 · 2 citations
    #68W40 #Data Structures and Algorithms (cs.DS) #E.2 #FOS: Computer and information sciences
  14. A Bloom Filter Survey: Variants for Different Domain Applications
    2021/06/23 by Abdennebi, Anes, Kaya, Kamer · 3 citations
    #A.1 #ACM-class: E.1 #Data Structures and Algorithms (cs.DS) #Databases (cs.DB) #E.2 #FOS: Computer and information sciences
  15. RobustBF: A High Accuracy and Memory Efficient 2D Bloom Filter
    2021/06/06 by Nayak, Sabuzima, Patgiri, Ripon · 1 citation
    #41-XX #68Mxx #68Wxx #Data Structures and Algorithms (cs.DS) #E.1 #E.2 #FOS: Computer and information sciences #H.2 #H.3
  16. Revisiting Data Compression in Column-Stores
    2021/05/19 by Slesarev, Alexander, Klyuchikov, Evgeniy, Smirnov, Kirill +1 · 1 citation
    #Databases (cs.DB) #Distributed #E.2 #FOS: Computer and information sciences #H.2 #Parallel #Performance (cs.PF) #and Cluster Computing (cs.DC)
  17. Matched Queues with Matching Batch Pair (m, n)
    2020/09/06 by Liu, Heng-Li, Li, Quan-Lin, Zhang, Chi · 1 citation
    #60J22 #60J28 #68Q85 #90B06 #90B15 #90B22 #90B25 #Artificial Intelligence (cs.AI) #D.4.6 #D.4.8 #Distributed #Dynamical Systems (math.DS) #E.2 #E.3 #FOS: Computer and information sciences #FOS: Mathematics #H.2.4 #H.3.5 #Networking and Internet Architecture (cs.NI) #Parallel #Probability (math.PR) #and Cluster Computing (cs.DC)
  18. VisualSem: A High-quality Knowledge Graph for Vision and Language
    2020/08/20 by Houda Alberts, Alberts, Houda, Huang, Teresa +10 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #E.0 #E.2 #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Topic Modeling
  19. Multi-probe consistent hashing
    2015/05/01 by Ben Appleton, Michael O’Reilly, Appleton, Ben +1 · 3 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Algorithms and Data Compression #Data Structures and Algorithms (cs.DS) #E.1 #E.2 #FOS: Computer and information sciences #Network Packet Processing and Optimization
  20. Adjacency labeling schemes and induced-universal graphs
    2014/04/13 by Alstrup, Stephen, Kaplan, Haim, Thorup, Mikkel +1 · 2 citations
    #Combinatorics (math.CO) #Data Structures and Algorithms (cs.DS) #Discrete Mathematics (cs.DM) #E.1 #E.2 #FOS: Computer and information sciences #FOS: Mathematics #G.2.1 #G.2.2
  21. Sharp Load Thresholds for Cuckoo Hashing
    2009/10/27 by Fountoulakis, Nikolaos, Panagiotou, Konstantinos · 1 citation
    #Combinatorics (math.CO) #Data Structures and Algorithms (cs.DS) #Discrete Mathematics (cs.DM) #E.2 #FOS: Computer and information sciences #FOS: Mathematics #G.2.2 #G.3 #Probability (math.PR)
  22. Time-Space Trade-Offs for Predecessor Search
    2006/03/10 by Mihai Pǎtraşcu, Mikkel Thorup, Patrascu, Mihai +1 · 3 citations
    Computer Science · #Advanced Graph Theory Research #Algorithms and Data Compression #Complexity and Algorithms in Graphs #Computational Complexity (cs.CC) #Data Structures and Algorithms (cs.DS) #E.2 #F.2.3 #FOS: Computer and information sciences
  23. Kolmogorov's Structure Functions and Model Selection
    2002/04/16 by Nikolay Vereshchagin, Nikolai Vereshchagin, Paul Vitanyi +3 · 2 citations
    Computer Science · Mathematics · Physics and Astronomy · #AI-based Problem Solving and Planning #Computability, Logic, AI Algorithms #Computational Complexity (cs.CC) #Data Analysis #E.2 #E.4 #E.5 #Evolutionary Algorithms and Applications #F.1.1 #F.1.3 #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #H.1.1 #Probability (math.PR) #Statistics and Probability (physics.data-an) #cs.CC #math.PR #physics.data-an