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Is Attention Interpretable?

Is Attention Interpretable?

9 June 2019
Sofia Serrano
Noah A. Smith
ArXivPDFHTML

Papers citing "Is Attention Interpretable?"

16 / 166 papers shown
Title
Towards Transparent and Explainable Attention Models
Towards Transparent and Explainable Attention Models
Akash Kumar Mohankumar
Preksha Nema
Sharan Narasimhan
Mitesh M. Khapra
Balaji Vasan Srinivasan
Balaraman Ravindran
42
99
0
29 Apr 2020
Towards Faithfully Interpretable NLP Systems: How should we define and
  evaluate faithfulness?
Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?
Alon Jacovi
Yoav Goldberg
XAI
28
567
0
07 Apr 2020
Generating Hierarchical Explanations on Text Classification via Feature
  Interaction Detection
Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection
Hanjie Chen
Guangtao Zheng
Yangfeng Ji
FAtt
36
92
0
04 Apr 2020
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MA
VLM
243
1,452
0
18 Mar 2020
What went wrong and when? Instance-wise Feature Importance for
  Time-series Models
What went wrong and when? Instance-wise Feature Importance for Time-series Models
S. Tonekaboni
Shalmali Joshi
Kieran Campbell
David Duvenaud
Anna Goldenberg
FAtt
OOD
AI4TS
51
14
0
05 Mar 2020
Explaining Explanations: Axiomatic Feature Interactions for Deep
  Networks
Explaining Explanations: Axiomatic Feature Interactions for Deep Networks
Joseph D. Janizek
Pascal Sturmfels
Su-In Lee
FAtt
30
143
0
10 Feb 2020
From Stock Prediction to Financial Relevance: Repurposing Attention
  Weights to Assess News Relevance Without Manual Annotations
From Stock Prediction to Financial Relevance: Repurposing Attention Weights to Assess News Relevance Without Manual Annotations
Luciano Del Corro
Johannes Hoffart
AIFin
11
3
0
26 Jan 2020
Deep Learning for Sensor-based Human Activity Recognition: Overview,
  Challenges and Opportunities
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
Kaixuan Chen
Dalin Zhang
Lina Yao
Bin Guo
Zhiwen Yu
Yunhao Liu
HAI
42
619
0
21 Jan 2020
Neural Machine Translation: A Review and Survey
Neural Machine Translation: A Review and Survey
Felix Stahlberg
3DV
AI4TS
MedIm
25
312
0
04 Dec 2019
What do you mean, BERT? Assessing BERT as a Distributional Semantics
  Model
What do you mean, BERT? Assessing BERT as a Distributional Semantics Model
Timothee Mickus
Denis Paperno
Mathieu Constant
Kees van Deemter
26
45
0
13 Nov 2019
Harnessing the linguistic signal to predict scalar inferences
Harnessing the linguistic signal to predict scalar inferences
Sebastian Schuster
Yuxing Chen
Judith Degen
19
33
0
31 Oct 2019
Explainable Prediction of Adverse Outcomes Using Clinical Notes
Explainable Prediction of Adverse Outcomes Using Clinical Notes
Justin Lovelace
N. Hurley
A. Haimovich
B. Mortazavi
BDL
FAtt
29
2
0
30 Oct 2019
On Identifiability in Transformers
On Identifiability in Transformers
Gino Brunner
Yang Liu
Damian Pascual
Oliver Richter
Massimiliano Ciaramita
Roger Wattenhofer
ViT
30
186
0
12 Aug 2019
Six Challenges for Neural Machine Translation
Six Challenges for Neural Machine Translation
Philipp Koehn
Rebecca Knowles
AAML
AIMat
224
1,209
0
12 Jun 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
218
7,929
0
17 Aug 2015
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
291
13,373
0
25 Aug 2014
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