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The Case for Learned Index Structures
v1v2v3 (latest)

The Case for Learned Index Structures

4 December 2017
Tim Kraska
Alex Beutel
Ed H. Chi
J. Dean
N. Polyzotis
ArXiv (abs)PDFHTML

Papers citing "The Case for Learned Index Structures"

44 / 244 papers shown
Title
Meta-Learning Deep Energy-Based Memory Models
Meta-Learning Deep Energy-Based Memory Models
Sergey Bartunov
Jack W. Rae
Simon Osindero
Timothy Lillicrap
165
34
0
07 Oct 2019
RLCache: Automated Cache Management Using Reinforcement Learning
RLCache: Automated Cache Management Using Reinforcement Learning
Sami Alabed
35
4
0
30 Sep 2019
A Survey of Machine Learning Applied to Computer Architecture Design
A Survey of Machine Learning Applied to Computer Architecture Design
Drew Penney
Lizhong Chen
AI4CE
65
29
0
26 Sep 2019
Understanding ML driven HPC: Applications and Infrastructure
Understanding ML driven HPC: Applications and Infrastructure
Geoffrey C. Fox
S. Jha
52
13
0
05 Sep 2019
Improved Cardinality Estimation by Learning Queries Containment Rates
Improved Cardinality Estimation by Learning Queries Containment Rates
Rojeh Hayek
O. Shmueli
54
19
0
21 Aug 2019
Index Network
Index Network
Hao Lu
Yutong Dai
Chunhua Shen
Songcen Xu
SSeg
21
0
0
11 Aug 2019
RSATree: Distribution-Aware Data Representation of Large-Scale Tabular
  Datasets for Flexible Visual Query
RSATree: Distribution-Aware Data Representation of Large-Scale Tabular Datasets for Flexible Visual Query
Honghui Mei
Wei Chen
Yating Wei
Yuanzhe Hu
Shuyue Zhou
Bingru Lin
Ying Zhao
Jiazhi Xia
42
19
0
06 Aug 2019
Indices Matter: Learning to Index for Deep Image Matting
Indices Matter: Learning to Index for Deep Image Matting
Hao Lu
Yutong Dai
Chunhua Shen
Songcen Xu
SSL
75
184
0
02 Aug 2019
Learning Key-Value Store Design
Learning Key-Value Store Design
Stratos Idreos
Niv Dayan
Wilson Qin
Mali Akmanalp
Sophie Hilgard
...
James Lennon
Varun Jain
Harshita Gupta
David Li
Zichen Zhu
11
8
0
11 Jul 2019
Database Meets Deep Learning: Challenges and Opportunities
Database Meets Deep Learning: Challenges and Opportunities
Wei Wang
Meihui Zhang
Gang Chen
H. V. Jagadish
Beng Chin Ooi
K. Tan
82
148
0
21 Jun 2019
Meta-Learning Neural Bloom Filters
Meta-Learning Neural Bloom Filters
Jack W. Rae
Sergey Bartunov
Timothy Lillicrap
64
36
0
10 Jun 2019
Learning Neural PDE Solvers with Convergence Guarantees
Learning Neural PDE Solvers with Convergence Guarantees
Jun-Ting Hsieh
Shengjia Zhao
Stephan Eismann
L. Mirabella
Stefano Ermon
AI4CE
78
145
0
04 Jun 2019
The Supermarket Model with Known and Predicted Service Times
The Supermarket Model with Known and Predicted Service Times
Michael Mitzenmacher
Matteo DellÁmico
63
13
0
23 May 2019
ALEX: An Updatable Adaptive Learned Index
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
70
300
0
21 May 2019
A Scalable Learned Index Scheme in Storage Systems
A Scalable Learned Index Scheme in Storage Systems
Pengfei Li
Yu Hua
Pengfei Zuo
Jingnan Jia
26
20
0
08 May 2019
Network Representation Learning: Consolidation and Renewed Bearing
Network Representation Learning: Consolidation and Renewed Bearing
Saket Gurukar
Priyesh Vijayan
Aakash Srinivasan
Goonmeet Bajaj
Chen Cai
...
Pranav Maneriker
Anasua Mitra
Vedang Patel
Balaraman Ravindran
Srinivasan Parthasarathy
71
23
0
02 May 2019
Approximate Query Processing using Deep Generative Models
Approximate Query Processing using Deep Generative Models
Saravanan Thirumuruganathan
Shohedul Hasan
Nick Koudas
Gautam Das
77
51
0
24 Mar 2019
Multi-Attribute Selectivity Estimation Using Deep Learning
Multi-Attribute Selectivity Estimation Using Deep Learning
Shohedul Hasan
Saravanan Thirumuruganathan
Jees Augustine
Nick Koudas
Gautam Das
50
25
0
24 Mar 2019
Learning Everywhere: Pervasive Machine Learning for Effective
  High-Performance Computation
Learning Everywhere: Pervasive Machine Learning for Effective High-Performance Computation
Geoffrey C. Fox
J. Glazier
J. Kadupitiya
V. Jadhao
Minje Kim
...
Madhav Marathe
Abhijin Adiga
Jiangzhuo Chen
O. Beckstein
S. Jha
48
53
0
27 Feb 2019
Neural Packet Classification
Neural Packet Classification
Eric Liang
Hang Zhu
Xin Jin
Ion Stoica
OffRL
78
122
0
27 Feb 2019
Joint Optimization of Tree-based Index and Deep Model for Recommender
  Systems
Joint Optimization of Tree-based Index and Deep Model for Recommender Systems
Ziru Xu
Daqing Chang
Xinhang Li
Pengye Zhang
Xiang Li
Jie He
Han Li
Jian Xu
Kun Gai
76
96
0
19 Feb 2019
Deep Hashing using Entropy Regularised Product Quantisation Network
Deep Hashing using Entropy Regularised Product Quantisation Network
Jo Schlemper
Jose Caballero
Andrew P. Aitken
Joost R. van Amersfoort
104
1
0
11 Feb 2019
Learned Indexes for Dynamic Workloads
Learned Indexes for Dynamic Workloads
Chuzhe Tang
Zhiyuan Dong
Minjie Wang
Zhaoguo Wang
Haibo Chen
18
9
0
02 Feb 2019
Flexible Operator Embeddings via Deep Learning
Flexible Operator Embeddings via Deep Learning
Ryan Marcus
Olga Papaemmanouil
40
4
0
25 Jan 2019
Learning Space Partitions for Nearest Neighbor Search
Learning Space Partitions for Nearest Neighbor Search
Yihe Dong
Piotr Indyk
Ilya P. Razenshteyn
Tal Wagner
86
12
0
24 Jan 2019
A Model for Learned Bloom Filters, and Optimizing by Sandwiching
A Model for Learned Bloom Filters, and Optimizing by Sandwiching
Michael Mitzenmacher
67
185
0
03 Jan 2019
Uniform Convergence Bounds for Codec Selection
Uniform Convergence Bounds for Codec Selection
Clayton Sanford
Cyrus Cousins
E. Upfal
27
0
0
18 Dec 2018
Deep Reinforcement Learning
Deep Reinforcement Learning
Yuxi Li
VLMOffRL
191
144
0
15 Oct 2018
SmartChoices: Hybridizing Programming and Machine Learning
SmartChoices: Hybridizing Programming and Machine Learning
Victor Carbune
Thierry Coppey
A. Daryin
Thomas Deselaers
Nikhil Sarda
J. Yagnik
27
2
0
01 Oct 2018
Déjà Vu: an empirical evaluation of the memorization properties of
  ConvNets
Déjà Vu: an empirical evaluation of the memorization properties of ConvNets
Alexandre Sablayrolles
Matthijs Douze
Cordelia Schmid
Hervé Jégou
49
18
0
17 Sep 2018
Towards Better Interpretability in Deep Q-Networks
Towards Better Interpretability in Deep Q-Networks
Raghuram Mandyam Annasamy
Katia Sycara
FAtt
52
59
0
15 Sep 2018
LIFT: Reinforcement Learning in Computer Systems by Learning From
  Demonstrations
LIFT: Reinforcement Learning in Computer Systems by Learning From Demonstrations
Michael Schaarschmidt
A. Kuhnle
Ben Ellis
Kai Fricke
Felix Gessert
Eiko Yoneki
OffRL
53
41
0
23 Aug 2018
Spreading vectors for similarity search
Spreading vectors for similarity search
Alexandre Sablayrolles
Matthijs Douze
Cordelia Schmid
Hervé Jégou
MQ
141
121
0
08 Jun 2018
Learning to Optimize Tensor Programs
Learning to Optimize Tensor Programs
Tianqi Chen
Lianmin Zheng
Eddie Q. Yan
Ziheng Jiang
T. Moreau
Luis Ceze
Carlos Guestrin
Arvind Krishnamurthy
108
407
0
21 May 2018
Parallel Computation of PDFs on Big Spatial Data Using Spark
Parallel Computation of PDFs on Big Spatial Data Using Spark
Ji Liu
Noel Moreno Lemus
Esther Pacitti
Fábio Porto
P. Valduriez
36
6
0
08 May 2018
PANDA: Facilitating Usable AI Development
PANDA: Facilitating Usable AI Development
Jinyang Gao
Wei Wang
Meihui Zhang
Gang Chen
H. V. Jagadish
Guoliang Li
Teck Khim Ng
Beng Chin Ooi
Sheng Wang
Jingren Zhou
75
4
0
26 Apr 2018
Learning State Representations for Query Optimization with Deep
  Reinforcement Learning
Learning State Representations for Query Optimization with Deep Reinforcement Learning
Jennifer Ortiz
Magdalena Balazinska
J. Gehrke
S. S. Keerthi
92
162
0
22 Mar 2018
The Three Pillars of Machine Programming
The Three Pillars of Machine Programming
Justin Emile Gottschlich
Armando Solar-Lezama
Nesime Tatbul
Michael Carbin
Martin Rinard
Regina Barzilay
Saman P. Amarasinghe
J. Tenenbaum
Tim Mattson
76
63
0
20 Mar 2018
Learning Memory Access Patterns
Learning Memory Access Patterns
Milad Hashemi
Kevin Swersky
Jamie A. Smith
Grant Ayers
Heiner Litz
Jichuan Chang
Christos Kozyrakis
Parthasarathy Ranganathan
47
205
0
06 Mar 2018
Massivizing Computer Systems: a Vision to Understand, Design, and
  Engineer Computer Ecosystems through and beyond Modern Distributed Systems
Massivizing Computer Systems: a Vision to Understand, Design, and Engineer Computer Ecosystems through and beyond Modern Distributed Systems
Alexandru Iosup
Alexandru Uta
L. Versluis
George Andreadis
Erwin Van Eyk
T. Hegeman
Sacheendra Talluri
V. V. Beek
L. Toader
GNN
45
28
0
15 Feb 2018
Competitive caching with machine learned advice
Competitive caching with machine learned advice
Thodoris Lykouris
Sergei Vassilvitskii
69
388
0
15 Feb 2018
Learning Correlation Space for Time Series
Learning Correlation Space for Time Series
Han Qiu
Hoang Thanh Lam
Francesco Fusco
M. Sinn
AI4TS
33
4
0
10 Feb 2018
In-network Neural Networks
In-network Neural Networks
G. Siracusano
R. Bifulco
MoE
66
52
0
17 Jan 2018
Associative Memories to Accelerate Approximate Nearest Neighbor Search
Associative Memories to Accelerate Approximate Nearest Neighbor Search
Vincent Gripon
Matthias Löwe
Franck Vermet
50
12
0
10 Nov 2016
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