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Diversity-Aware Batch Active Learning for Dependency Parsing

Diversity-Aware Batch Active Learning for Dependency Parsing

28 April 2021
Tianze Shi
Adrian Benton
Igor Malioutov
Ozan Irsoy
ArXivPDFHTML

Papers citing "Diversity-Aware Batch Active Learning for Dependency Parsing"

17 / 17 papers shown
Title
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
499
42,449
0
03 Dec 2019
Unsupervised Cross-lingual Representation Learning at Scale
Unsupervised Cross-lingual Representation Learning at Scale
Alexis Conneau
Kartikay Khandelwal
Naman Goyal
Vishrav Chaudhary
Guillaume Wenzek
Francisco Guzmán
Edouard Grave
Myle Ott
Luke Zettlemoyer
Veselin Stoyanov
215
6,565
0
05 Nov 2019
Multi-Document Summarization with Determinantal Point Processes and
  Contextualized Representations
Multi-Document Summarization with Determinantal Point Processes and Contextualized Representations
Sangwoo Cho
Chen Li
Dong Yu
H. Foroosh
Fei Liu
58
17
0
24 Oct 2019
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian
  Active Learning
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning
Andreas Kirsch
Joost R. van Amersfoort
Y. Gal
FedML
87
627
0
19 Jun 2019
Batch Active Learning Using Determinantal Point Processes
Batch Active Learning Using Determinantal Point Processes
Erdem Biyik
Kenneth Wang
Nima Anari
Dorsa Sadigh
68
62
0
19 Jun 2019
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds
Jordan T. Ash
Chicheng Zhang
A. Krishnamurthy
John Langford
Alekh Agarwal
BDL
UQCV
88
773
0
09 Jun 2019
Improving the Similarity Measure of Determinantal Point Processes for
  Extractive Multi-Document Summarization
Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization
Sangwoo Cho
Logan Lebanoff
H. Foroosh
Fei Liu
65
55
0
31 May 2019
Multilingual Constituency Parsing with Self-Attention and Pre-Training
Multilingual Constituency Parsing with Self-Attention and Pre-Training
Nikita Kitaev
Steven Cao
Dan Klein
LRM
58
254
0
31 Dec 2018
SentencePiece: A simple and language independent subword tokenizer and
  detokenizer for Neural Text Processing
SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing
Taku Kudo
John Richardson
196
3,520
0
19 Aug 2018
Deep Bayesian Active Learning for Natural Language Processing: Results
  of a Large-Scale Empirical Study
Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study
Aditya Siddhant
Zachary Chase Lipton
AI4CE
BDL
61
206
0
16 Aug 2018
Deep Active Learning for Named Entity Recognition
Deep Active Learning for Named Entity Recognition
Yanyao Shen
Hyokun Yun
Zachary Chase Lipton
Y. Kronrod
Anima Anandkumar
HAI
86
457
0
19 Jul 2017
Probabilistic Typology: Deep Generative Models of Vowel Inventories
Probabilistic Typology: Deep Generative Models of Vowel Inventories
Ryan Cotterell
Jason Eisner
BDL
51
31
0
04 May 2017
Deep Bayesian Active Learning with Image Data
Deep Bayesian Active Learning with Image Data
Y. Gal
Riashat Islam
Zoubin Ghahramani
BDL
UQCV
70
1,736
0
08 Mar 2017
Deep Biaffine Attention for Neural Dependency Parsing
Deep Biaffine Attention for Neural Dependency Parsing
Timothy Dozat
Christopher D. Manning
113
1,222
0
06 Nov 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
250
1,139
0
25 Jul 2012
Learning Determinantal Point Processes
Learning Determinantal Point Processes
Alex Kulesza
B. Taskar
76
162
0
14 Feb 2012
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