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The Case for Learned Index Structures

4 December 2017

Papers citing "The Case for Learned Index Structures"

50 / 244 papers shown

Title
Accelerating Deep Learning Inference via Learned Caches Arjun Balasubramanian Adarsh Kumar Yuhan Liu Han Cao Shivaram Venkataraman Aditya Akella 64 19 0 18 Jan 2021
A Pluggable Learned Index Method via Sampling and Gap Insertion Yaliang Li Daoyuan Chen Bolin Ding K. Zeng Jingren Zhou 56 15 0 04 Jan 2021
Learned Indexes for a Google-scale Disk-based Database Hussam Abu-Libdeh Deniz Altinbuken Alex Beutel Ed H. Chi Lyric Doshi Tim Kraska Xiaozhou Li Li Andy Ly Christopher Olston 69 42 0 23 Dec 2020
Are We Ready For Learned Cardinality Estimation? Xiaoying Wang Changbo Qu Weiyuan Wu Jiannan Wang Qingqing Zhou 63 117 0 12 Dec 2020
Learnable and Instance-Robust Predictions for Online Matching, Flows and Load Balancing Thomas Lavastida Benjamin Moseley R. Ravi Chenyang Xu OOD 104 59 0 23 Nov 2020
FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation Rong Zhu Ziniu Wu Yuxing Han Kai Zeng A. Pfadler Zhengping Qian Jingren Zhou Tengjiao Wang 70 91 0 18 Nov 2020
Video Big Data Analytics in the Cloud: A Reference Architecture, Survey, Opportunities, and Open Research Issues A. Alam I. Ullah Young-Koo Lee 60 25 0 16 Nov 2020
Predict and Write: Using K-Means Clustering to Extend the Lifetime of NVM Storage Saeed Kargar Heiner Litz Faisal Nawab 18 17 0 04 Nov 2020
DBA bandits: Self-driving index tuning under ad-hoc, analytical workloads with safety guarantees R. Perera Bastian Oetomo Benjamin I. P. Rubinstein Renata Borovica-Gajic 41 32 0 19 Oct 2020
Survive the Schema Changes: Integration of Unmanaged Data Using Deep Learning Zijie Wang Lixi Zhou A. Das Valay Dave Zhanpeng Jin Jia Zou 90 3 0 15 Oct 2020
Neural Databases James Thorne Majid Yazdani Marzieh Saeidi Fabrizio Silvestri Sebastian Riedel A. Halevy NAI 96 9 0 14 Oct 2020
Running Neural Networks on the NIC G. Siracusano Salvator Galea D. Sanvito Mohammad Malekzadeh Hamed Haddadi G. Antichi R. Bifulco 46 25 0 04 Sep 2020
The Case for Learned Spatial Indexes Varun Pandey Alexander van Renen Andreas Kipf Ibrahim Sabek Jialin Ding A. Kemper 55 47 0 24 Aug 2020
Spitz: A Verifiable Database System Meihui Zhang Zhongle Xie Cong Yue Ziyue Zhong 49 21 0 21 Aug 2020
Multi-Temporal Analysis and Scaling Relations of 100,000,000,000 Network Packets J. Kepner C. Meiners Chansup Byun Sarah McGuire Tim Davis ... S. Samsi Douglas A. Stetson Adam Tse Charles Yee Peter Michaleas 21 13 0 01 Aug 2020
The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures Evgenios M. Kornaropoulos Silei Ren R. Tamassia AAML 58 19 0 01 Aug 2020
Automated Database Indexing using Model-free Reinforcement Learning Gabriel Paludo Licks Felipe Meneguzzi OffRL 43 28 0 25 Jul 2020
Conformer-Kernel with Query Term Independence for Document Retrieval Bhaskar Mitra Sebastian Hofstatter Hamed Zamani Nick Craswell 61 21 0 20 Jul 2020
Learning from Data to Speed-up Sorted Table Search Procedures: Methodology and Practical Guidelines Domenico Amato Giosuè Lo Bosco Raffaele Giancarlo 10 0 0 20 Jul 2020
Frequency Estimation in Data Streams: Learning the Optimal Hashing Scheme Dimitris Bertsimas V. Digalakis 44 5 0 17 Jul 2020
Hands-off Model Integration in Spatial Index Structures A. Hadian Ankita Kumar T. Heinis 41 23 0 29 Jun 2020
COAX: Correlation-Aware Indexing on Multidimensional Data with Soft Functional Dependencies A. Hadian Behzad Ghaffari Taiyi Wang T. Heinis 45 5 0 29 Jun 2020
Queues with Small Advice Michael Mitzenmacher 35 21 0 27 Jun 2020
Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads Jialin Ding Vikram Nathan Mohammad Alizadeh Tim Kraska 52 146 0 23 Jun 2020
NeuroCard: One Cardinality Estimator for All Tables Zongheng Yang Amog Kamsetty Sifei Luan Eric Liang Yan Duan Xi Chen Ion Stoica 72 107 0 15 Jun 2020
Online Page Migration with ML Advice Piotr Indyk Frederik Mallmann-Trenn Slobodan Mitrović R. Rubinfeld OnRL 116 18 0 09 Jun 2020
Partitioned Learned Bloom Filter Kapil Vaidya Eric R. Knorr Tim Kraska Michael Mitzenmacher 52 32 0 05 Jun 2020
MLOS: An Infrastructure for Automated Software Performance Engineering Carlo Curino Neha Godwal Brian Kroth S. Kuryata Greg Lapinski ... Olga Poppe Adam Śmiechowski Ed Thayer Markus Weimer Yiwen Zhu 49 15 0 01 Jun 2020
From WiscKey to Bourbon: A Learned Index for Log-Structured Merge Trees Yifan Dai Yien Xu Aishwarya Ganesan Ramnatthan Alagappan Brian Kroth Andrea C. Arpaci-Dusseau Remzi H. Arpaci-Dusseau 55 1 0 28 May 2020
Consistent and Flexible Selectivity Estimation for High-Dimensional Data Yaoshu Wang Chuan Xiao Jianbin Qin Rui Mao Onizuka Makoto Wei Wang Rui Zhang Yoshiharu Ishikawa 52 14 0 20 May 2020
RadixSpline: A Single-Pass Learned Index Andreas Kipf Ryan Marcus Alexander van Renen Mihail Stoian A. Kemper Tim Kraska Thomas Neumann 71 177 0 30 Apr 2020
Qd-tree: Learning Data Layouts for Big Data Analytics Zongheng Yang Badrish Chandramouli Chi Wang J. Gehrke Yinan Li U. F. Minhas P. Larson Donald Kossmann R. Acharya 70 94 0 22 Apr 2020
NN-based Transformation of Any SQL Cardinality Estimator for Handling DISTINCT, AND, OR and NOT Rojeh Hayek O. Shmueli 13 3 0 15 Apr 2020
Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems Weijie Zhao Deping Xie Ronglai Jia Yulei Qian Rui Ding Mingming Sun P. Li MoE 120 152 0 12 Mar 2020
LAQP: Learning-based Approximate Query Processing Meifan Zhang Hongzhi Wang VLM 73 11 0 05 Mar 2020
Video Monitoring Queries Nick Koudas Raymond Li Ioannis Xarchakos 62 37 0 24 Feb 2020
Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach Yaoshu Wang Chuan Xiao Jianbin Qin Xin Cao Yifang Sun Wei Wang Makoto Onizuka 58 25 0 15 Feb 2020
A Computational Approach to Packet Classification Alon Rashelbach Ori Rottenstreich M. Silberstein 39 52 0 10 Feb 2020
Learning Multi-dimensional Indexes Vikram Nathan Jialin Ding Mohammad Alizadeh Tim Kraska AI4CE 71 211 0 03 Dec 2019
SOSD: A Benchmark for Learned Indexes Andreas Kipf Ryan Marcus Alexander van Renen Mihail Stoian A. Kemper Tim Kraska Thomas Neumann 68 93 0 29 Nov 2019
Towards Similarity Graphs Constructed by Deep Reinforcement Learning Dmitry Baranchuk Artem Babenko GNN 33 11 0 27 Nov 2019
Learning to Control Latent Representations for Few-Shot Learning of Named Entities Omar U. Florez Erik T. Mueller BDL 88 5 0 19 Nov 2019
The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design J. Dean 45 79 0 13 Nov 2019
FLAML: A Fast and Lightweight AutoML Library Chi Wang Qingyun Wu Markus Weimer Erkang Zhu 107 205 0 12 Nov 2019
Learning-Based Low-Rank Approximations Piotr Indyk A. Vakilian Yang Yuan 91 69 0 30 Oct 2019
Adaptive Learned Bloom Filter (Ada-BF): Efficient Utilization of the Classifier Zhenwei Dai Anshumali Shrivastava 49 46 0 21 Oct 2019
DLB: Deep Learning Based Load Balancing Xiao-ke Zhu Qi Zhang Taining Cheng Ling Liu Wenmeng Zhou Jing He 8 8 0 18 Oct 2019
Similarity Driven Approximation for Text Analytics Guangyan Hu Yongfeng Zhang S. Rigo Thu D. Nguyen 19 0 0 16 Oct 2019
The PGM-index: a multicriteria, compressed and learned approach to data indexing P. Ferragina Giorgio Vinciguerra 51 126 0 14 Oct 2019
LISA: Towards Learned DNA Sequence Search Darryl Ho Jialin Ding Sanchit Misra Nesime Tatbul Vikram Nathan Vasimuddin Tim Kraska 41 15 0 10 Oct 2019