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1606.07461
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LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks
23 June 2016
Hendrik Strobelt
Sebastian Gehrmann
Hanspeter Pfister
Alexander M. Rush
HAI
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Papers citing
"LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks"
11 / 11 papers shown
Title
Interpreting Deep Learning Models in Natural Language Processing: A Review
Xiaofei Sun
Diyi Yang
Xiaoya Li
Tianwei Zhang
Yuxian Meng
Han Qiu
Guoyin Wang
Eduard H. Hovy
Jiwei Li
17
44
0
20 Oct 2021
The Explanatory Gap in Algorithmic News Curation
Hendrik Heuer
CML
12
1
0
30 Sep 2021
How recurrent networks implement contextual processing in sentiment analysis
Niru Maheswaranathan
David Sussillo
14
22
0
17 Apr 2020
X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust
Arjun Reddy Akula
Changsong Liu
Sari Saba-Sadiya
Hongjing Lu
S. Todorovic
J. Chai
Song-Chun Zhu
16
18
0
15 Sep 2019
The What-If Tool: Interactive Probing of Machine Learning Models
James Wexler
Mahima Pushkarna
Tolga Bolukbasi
Martin Wattenberg
F. Viégas
Jimbo Wilson
VLM
17
484
0
09 Jul 2019
Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics
Niru Maheswaranathan
Alex H. Williams
Matthew D. Golub
Surya Ganguli
David Sussillo
13
77
0
25 Jun 2019
Interpretable machine learning: definitions, methods, and applications
W. James Murdoch
Chandan Singh
Karl Kumbier
R. Abbasi-Asl
Bin-Xia Yu
XAI
HAI
21
1,415
0
14 Jan 2019
Learning Finite State Representations of Recurrent Policy Networks
Anurag Koul
S. Greydanus
Alan Fern
11
87
0
29 Nov 2018
Automatic Detection of Vague Words and Sentences in Privacy Policies
Logan Lebanoff
Fei Liu
EgoV
13
40
0
19 Aug 2018
Do Convolutional Neural Networks Learn Class Hierarchy?
B. Alsallakh
Amin Jourabloo
Mao Ye
Xiaoming Liu
Liu Ren
34
210
0
17 Oct 2017
Translating Neuralese
Jacob Andreas
Anca Dragan
Dan Klein
19
58
0
23 Apr 2017
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