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Benchmarking Approximate Inference Methods for Neural Structured
  Prediction

Benchmarking Approximate Inference Methods for Neural Structured Prediction

1 April 2019
Lifu Tu
Kevin Gimpel
    BDL
ArXivPDFHTML

Papers citing "Benchmarking Approximate Inference Methods for Neural Structured Prediction"

6 / 6 papers shown
Title
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
Xin-Chao Xu
Yi Qin
Lu Mi
Hao Wang
X. Li
61
9
0
03 Jan 2025
Design Challenges and Misconceptions in Neural Sequence Labeling
Design Challenges and Misconceptions in Neural Sequence Labeling
Jie Yang
Shuailong Liang
Yue Zhang
112
161
0
12 Jun 2018
Classical Structured Prediction Losses for Sequence to Sequence Learning
Classical Structured Prediction Losses for Sequence to Sequence Learning
Sergey Edunov
Myle Ott
Michael Auli
David Grangier
MarcÁurelio Ranzato
AIMat
43
185
0
14 Nov 2017
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
214
7,687
0
17 Aug 2015
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
238
13,283
0
25 Aug 2014
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
237
7,597
0
03 Jul 2012
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