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Comparing Attention-based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading Comprehension
27 August 2018
Matthias Blohm
Glorianna Jagfeld
Ekta Sood
Xiang Yu
Ngoc Thang Vu
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Papers citing
"Comparing Attention-based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading Comprehension"
7 / 7 papers shown
Title
TransfoRhythm: A Transformer Architecture Conductive to Blood Pressure Estimation via Solo PPG Signal Capturing
Amir Arjomand
Amin Boudesh
Farnoush Bayatmakou
Kenneth B. Kent
Arash Mohammadi
32
0
0
15 Apr 2024
Synthesizing Human Gaze Feedback for Improved NLP Performance
Varun Khurana
Yaman Kumar Singla
Nora Hollenstein
R. Kumar
Balaji Krishnamurthy
13
15
0
11 Feb 2023
Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots
Samson Tan
Shafiq R. Joty
AAML
29
35
0
17 Mar 2021
Adversarial Attacks on Deep Learning Models in Natural Language Processing: A Survey
W. Zhang
Quan Z. Sheng
A. Alhazmi
Chenliang Li
AAML
21
57
0
21 Jan 2019
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks
Mohit Iyyer
John Wieting
Kevin Gimpel
Luke Zettlemoyer
AAML
GAN
196
711
0
17 Apr 2018
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,926
0
17 Aug 2015
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
255
13,364
0
25 Aug 2014
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