Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2112.03638
Cited By
Scaling Structured Inference with Randomization
7 December 2021
Yao Fu
John P. Cunningham
Mirella Lapata
BDL
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Scaling Structured Inference with Randomization"
16 / 16 papers shown
Title
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
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
Justin T. Chiu
Alexander M. Rush
BDL
96
25
0
09 Nov 2020
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
Xiang Lisa Li
Alexander M. Rush
34
25
0
10 May 2020
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
W. Kool
H. V. Hoof
Max Welling
BDL
107
50
0
14 Feb 2020
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
Runjing Liu
Jeffrey Regier
Nilesh Tripuraneni
Michael I. Jordan
Jon D. McAuliffe
52
32
0
10 Oct 2018
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
Caio Corro
Ivan Titov
BDL
40
56
0
25 Jul 2018
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
Xuezhe Ma
Eduard H. Hovy
92
2,654
0
04 Mar 2016
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
D. Koller
U. Lerner
Dragomir Anguelov
TPM
99
161
0
23 Jan 2013
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
1