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Scaling Structured Inference with Randomization

Scaling Structured Inference with Randomization

7 December 2021
Yao Fu
John P. Cunningham
Mirella Lapata
    BDL
ArXivPDFHTML

Papers citing "Scaling Structured Inference with Randomization"

16 / 16 papers shown
Title
Low-Rank Constraints for Fast Inference in Structured Models
Low-Rank Constraints for Fast Inference in Structured Models
Justin T. Chiu
Yuntian Deng
Alexander M. Rush
BDL
53
14
0
08 Jan 2022
Latent Template Induction with Gumbel-CRFs
Latent Template Induction with Gumbel-CRFs
Yao Fu
Chuanqi Tan
Bin Bi
Mosha Chen
Yansong Feng
Alexander M. Rush
BDL
31
12
0
29 Nov 2020
Scaling Hidden Markov Language Models
Scaling Hidden Markov Language Models
Justin T. Chiu
Alexander M. Rush
BDL
96
25
0
09 Nov 2020
The Return of Lexical Dependencies: Neural Lexicalized PCFGs
The Return of Lexical Dependencies: Neural Lexicalized PCFGs
Hao Zhu
Yonatan Bisk
Graham Neubig
54
30
0
29 Jul 2020
Posterior Control of Blackbox Generation
Posterior Control of Blackbox Generation
Xiang Lisa Li
Alexander M. Rush
37
25
0
10 May 2020
Efficient Second-Order TreeCRF for Neural Dependency Parsing
Efficient Second-Order TreeCRF for Neural Dependency Parsing
Yu Zhang
Zhenghua Li
Min Zhang
42
105
0
03 May 2020
Estimating Gradients for Discrete Random Variables by Sampling without
  Replacement
Estimating Gradients for Discrete Random Variables by Sampling without Replacement
W. Kool
H. V. Hoof
Max Welling
BDL
107
50
0
14 Feb 2020
Fast Structured Decoding for Sequence Models
Fast Structured Decoding for Sequence Models
Zhiqing Sun
Zhuohan Li
Haoqing Wang
Zi Lin
Di He
Zhihong Deng
82
122
0
25 Oct 2019
Rao-Blackwellized Stochastic Gradients for Discrete Distributions
Rao-Blackwellized Stochastic Gradients for Discrete Distributions
Runjing Liu
Jeffrey Regier
Nilesh Tripuraneni
Michael I. Jordan
Jon D. McAuliffe
52
32
0
10 Oct 2018
Learning Neural Templates for Text Generation
Learning Neural Templates for Text Generation
Sam Wiseman
Stuart M. Shieber
Alexander M. Rush
108
200
0
30 Aug 2018
Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a
  Structured Variational Autoencoder
Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder
Caio Corro
Ivan Titov
BDL
40
56
0
25 Jul 2018
CRF Autoencoder for Unsupervised Dependency Parsing
CRF Autoencoder for Unsupervised Dependency Parsing
Jiong Cai
Yong Jiang
Kewei Tu
SSL
62
34
0
03 Aug 2017
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
Xuezhe Ma
Eduard H. Hovy
92
2,654
0
04 Mar 2016
Black Box Variational Inference
Black Box Variational Inference
Rajesh Ranganath
S. Gerrish
David M. Blei
DRL
BDL
136
1,167
0
31 Dec 2013
A General Algorithm for Approximate Inference and its Application to
  Hybrid Bayes Nets
A General Algorithm for Approximate Inference and its Application to Hybrid Bayes Nets
D. Koller
U. Lerner
Dragomir Anguelov
TPM
101
161
0
23 Jan 2013
Efficient Learning of Sparse Conditional Random Fields for Supervised
  Sequence Labelling
Efficient Learning of Sparse Conditional Random Fields for Supervised Sequence Labelling
Nataliya Sokolovska
Thomas Lavergne
Olivier Cappé
François Yvon
438
20
0
07 Sep 2009
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