The Case for Learned Index Structures

4 December 2017

Papers citing "The Case for Learned Index Structures"

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Title
The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results Stanley Bak Changliu Liu Taylor T. Johnson NAI 30 112 0 31 Aug 2021
No DBA? No regret! Multi-armed bandits for index tuning of analytical and HTAP workloads with provable guarantees R. Perera Bastian Oetomo Benjamin I. P. Rubinstein Renata Borovica-Gajic 16 8 0 23 Aug 2021
A Survey on Deep Reinforcement Learning for Data Processing and Analytics Qingpeng Cai Can Cui Yiyuan Xiong Wei Wang Zhongle Xie Meihui Zhang OffRL 26 29 0 10 Aug 2021
Faster Matchings via Learned Duals M. Dinitz Sungjin Im Thomas Lavastida Benjamin Moseley Sergei Vassilvitskii 19 67 0 20 Jul 2021
Learned Sorted Table Search and Static Indexes in Small Model Space Domenico Amato Giosuè Lo Bosco Raffaele Giancarlo 32 6 0 19 Jul 2021
A Unified Transferable Model for ML-Enhanced DBMS Ziniu Wu Pei Yu Peilun Yang Rong Zhu Yuxing Han Yaliang Li Defu Lian K. Zeng Jingren Zhou 44 31 0 06 May 2021
One Model to Rule them All: Towards Zero-Shot Learning for Databases Benjamin Hilprecht Carsten Binnig VLM 34 33 0 03 May 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 64 224 0 23 Mar 2021
A Survey of Machine Learning for Computer Architecture and Systems Nan Wu Yuan Xie AI4TS AI4CE 28 145 0 16 Feb 2021
Accelerating Deep Learning Inference via Learned Caches Arjun Balasubramanian Adarsh Kumar Yuhan Liu Han Cao Shivaram Venkataraman Aditya Akella 28 18 0 18 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 19 39 0 23 Dec 2020
Are We Ready For Learned Cardinality Estimation? Xiaoying Wang Changbo Qu Weiyuan Wu Jiannan Wang Qingqing Zhou 41 113 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 37 57 0 23 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 47 22 0 16 Nov 2020
Neural Databases James Thorne Majid Yazdani Marzieh Saeidi Fabrizio Silvestri Sebastian Riedel A. Halevy NAI 39 9 0 14 Oct 2020
The Case for Learned Spatial Indexes Varun Pandey Alexander van Renen Andreas Kipf Ibrahim Sabek Jialin Ding A. Kemper 17 46 0 24 Aug 2020
Conformer-Kernel with Query Term Independence for Document Retrieval Bhaskar Mitra Sebastian Hofstatter Hamed Zamani Nick Craswell 27 21 0 20 Jul 2020
Hands-off Model Integration in Spatial Index Structures A. Hadian Ankita Kumar T. Heinis 9 22 0 29 Jun 2020
Queues with Small Advice Michael Mitzenmacher 9 20 0 27 Jun 2020
NeuroCard: One Cardinality Estimator for All Tables Zongheng Yang Amog Kamsetty Sifei Luan Eric Liang Yan Duan Xi Chen Ion Stoica 30 101 0 15 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 19 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 38 14 0 20 May 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 16 93 0 22 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 61 151 0 12 Mar 2020
LAQP: Learning-based Approximate Query Processing Meifan Zhang Hongzhi Wang VLM 26 11 0 05 Mar 2020
Video Monitoring Queries Nick Koudas Raymond Li Ioannis Xarchakos 32 34 0 24 Feb 2020
A Computational Approach to Packet Classification Alon Rashelbach Ori Rottenstreich M. Silberstein 19 52 0 10 Feb 2020
Learning Multi-dimensional Indexes Vikram Nathan Jialin Ding Mohammad Alizadeh Tim Kraska AI4CE 11 204 0 03 Dec 2019
Learning to Control Latent Representations for Few-Shot Learning of Named Entities Omar U. Florez Erik T. Mueller BDL 17 5 0 19 Nov 2019
FLAML: A Fast and Lightweight AutoML Library Chi Wang Qingyun Wu Markus Weimer Erkang Zhu 30 199 0 12 Nov 2019
Learning-Based Low-Rank Approximations Piotr Indyk A. Vakilian Yang Yuan 39 67 0 30 Oct 2019
The PGM-index: a multicriteria, compressed and learned approach to data indexing P. Ferragina Giorgio Vinciguerra 6 120 0 14 Oct 2019
LISA: Towards Learned DNA Sequence Search Darryl Ho Jialin Ding Sanchit Misra Nesime Tatbul Vikram Nathan Vasimuddin Tim Kraska 9 14 0 10 Oct 2019
Meta-Learning Deep Energy-Based Memory Models Sergey Bartunov Jack W. Rae Simon Osindero Timothy Lillicrap 45 34 0 07 Oct 2019
A Survey of Machine Learning Applied to Computer Architecture Design Drew Penney Lizhong Chen AI4CE 33 29 0 26 Sep 2019
Improved Cardinality Estimation by Learning Queries Containment Rates Rojeh Hayek O. Shmueli 15 19 0 21 Aug 2019
Indices Matter: Learning to Index for Deep Image Matting Hao Lu Yutong Dai Chunhua Shen Songcen Xu SSL 27 183 0 02 Aug 2019
Database Meets Deep Learning: Challenges and Opportunities Wei Wang Meihui Zhang Gang Chen H. V. Jagadish Beng Chin Ooi K. Tan 24 147 0 21 Jun 2019
ALEX: An Updatable Adaptive Learned Index Jialin Ding U. F. Minhas Jia Yu Chi Wang Jaeyoung Do ... Badrish Chandramouli J. Gehrke Donald Kossmann D. Lomet Tim Kraska 13 293 0 21 May 2019
Approximate Query Processing using Deep Generative Models Saravanan Thirumuruganathan Shohedul Hasan Nick Koudas Gautam Das 45 50 0 24 Mar 2019
Neural Packet Classification Eric Liang Hang Zhu Xin Jin Ion Stoica OffRL 40 120 0 27 Feb 2019
Deep Hashing using Entropy Regularised Product Quantisation Network Jo Schlemper Jose Caballero Andrew P. Aitken Joost R. van Amersfoort 21 1 0 11 Feb 2019
Flexible Operator Embeddings via Deep Learning Ryan Marcus Olga Papaemmanouil 18 4 0 25 Jan 2019
Learning Space Partitions for Nearest Neighbor Search Yihe Dong Piotr Indyk Ilya P. Razenshteyn Tal Wagner 29 12 0 24 Jan 2019
A Model for Learned Bloom Filters, and Optimizing by Sandwiching Michael Mitzenmacher 17 182 0 03 Jan 2019
SmartChoices: Hybridizing Programming and Machine Learning Victor Carbune Thierry Coppey A. Daryin Thomas Deselaers Nikhil Sarda J. Yagnik 24 2 0 01 Oct 2018
Spreading vectors for similarity search Alexandre Sablayrolles Matthijs Douze Cordelia Schmid Hervé Jégou MQ 27 115 0 08 Jun 2018
Learning to Optimize Tensor Programs Tianqi Chen Lianmin Zheng Eddie Q. Yan Ziheng Jiang T. Moreau Luis Ceze Carlos Guestrin Arvind Krishnamurthy 39 395 0 21 May 2018
Parallel Computation of PDFs on Big Spatial Data Using Spark Ji Liu Noel Moreno Lemus Esther Pacitti Fábio Porto P. Valduriez 19 6 0 08 May 2018
Learning State Representations for Query Optimization with Deep Reinforcement Learning Jennifer Ortiz Magdalena Balazinska J. Gehrke S. S. Keerthi 39 162 0 22 Mar 2018