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Searching for More Efficient Dynamic Programs

Searching for More Efficient Dynamic Programs

14 September 2021
Tim Vieira
Ryan Cotterell
Jason Eisner
ArXivPDFHTML

Papers citing "Searching for More Efficient Dynamic Programs"

18 / 18 papers shown
Title
Monte Carlo Tree Search: A Review of Recent Modifications and
  Applications
Monte Carlo Tree Search: A Review of Recent Modifications and Applications
M. Świechowski
Konrad Godlewski
B. Sawicki
Jacek Mańdziuk
48
259
0
08 Mar 2021
A Machine Learning guided Rewriting Approach for ASP Logic Programs
A Machine Learning guided Rewriting Approach for ASP Logic Programs
Elena Mastria
J. Zangari
S. Perri
Francesco Calimeri
6
4
0
22 Sep 2020
Best-First Beam Search
Best-First Beam Search
Clara Meister
Tim Vieira
Ryan Cotterell
26
71
0
08 Jul 2020
Stanza: A Python Natural Language Processing Toolkit for Many Human
  Languages
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Peng Qi
Yuhao Zhang
Yuhui Zhang
Jason Bolton
Christopher D. Manning
AI4TS
225
1,681
0
16 Mar 2020
Torch-Struct: Deep Structured Prediction Library
Torch-Struct: Deep Structured Prediction Library
Alexander M. Rush
35
63
0
03 Feb 2020
Towards modular and programmable architecture search
Towards modular and programmable architecture search
Renato M. P. Negrinho
Darshan Patil
Nghia T. Le
Daniel C. Ferreira
Matthew R. Gormley
Geoffrey J. Gordon
30
26
0
30 Sep 2019
Exact Hard Monotonic Attention for Character-Level Transduction
Exact Hard Monotonic Attention for Character-Level Transduction
Shijie Wu
Ryan Cotterell
18
59
0
15 May 2019
A General Framework for Multi-fidelity Bayesian Optimization with
  Gaussian Processes
A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes
Jialin Song
Yuxin Chen
Yisong Yue
100
101
0
02 Nov 2018
Hard Non-Monotonic Attention for Character-Level Transduction
Hard Non-Monotonic Attention for Character-Level Transduction
Shijie Wu
Pamela Shapiro
Ryan Cotterell
32
42
0
29 Aug 2018
Neural Architecture Search using Deep Neural Networks and Monte Carlo
  Tree Search
Neural Architecture Search using Deep Neural Networks and Monte Carlo Tree Search
Linnan Wang
Yiyang Zhao
Yuu Jinnai
Yuandong Tian
Rodrigo Fonseca
BDL
40
50
0
18 May 2018
Linear-Time Constituency Parsing with RNNs and Dynamic Programming
Juneki Hong
Liang Huang
29
7
0
17 May 2018
A Minimal Span-Based Neural Constituency Parser
A Minimal Span-Based Neural Constituency Parser
Mitchell Stern
Jacob Andreas
Dan Klein
48
196
0
10 May 2017
On the Complexity of CCG Parsing
On the Complexity of CCG Parsing
Marco Kuhlmann
G. Satta
Peter Jonsson
19
11
0
21 Feb 2017
Structured Attention Networks
Structured Attention Networks
Yoon Kim
Carl Denton
Luong Hoang
Alexander M. Rush
68
462
0
03 Feb 2017
Deep Biaffine Attention for Neural Dependency Parsing
Deep Biaffine Attention for Neural Dependency Parsing
Timothy Dozat
Christopher D. Manning
88
1,220
0
06 Nov 2016
Global Neural CCG Parsing with Optimality Guarantees
Global Neural CCG Parsing with Optimality Guarantees
Kenton Lee
M. Lewis
Luke Zettlemoyer
33
40
0
05 Jul 2016
Neural CRF Parsing
Neural CRF Parsing
Greg Durrett
Dan Klein
25
128
0
13 Jul 2015
A Complete Anytime Algorithm for Treewidth
A Complete Anytime Algorithm for Treewidth
Vibhav Gogate
R. Dechter
TPM
93
174
0
11 Jul 2012
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