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RNNbow: Visualizing Learning via Backpropagation Gradients in Recurrent
  Neural Networks

RNNbow: Visualizing Learning via Backpropagation Gradients in Recurrent Neural Networks

29 July 2019
Dylan Cashman
Genevieve Patterson
Abigail Mosca
Nathan Watts
Shannon Robinson
Remco Chang
    FAtt
ArXivPDFHTML

Papers citing "RNNbow: Visualizing Learning via Backpropagation Gradients in Recurrent Neural Networks"

11 / 11 papers shown
Title
The State of the Art in Enhancing Trust in Machine Learning Models with
  the Use of Visualizations
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations
Angelos Chatzimparmpas
R. Martins
I. Jusufi
K. Kucher
Fabrice Rossi
A. Kerren
FAtt
26
160
0
22 Dec 2022
HetVis: A Visual Analysis Approach for Identifying Data Heterogeneity in
  Horizontal Federated Learning
HetVis: A Visual Analysis Approach for Identifying Data Heterogeneity in Horizontal Federated Learning
Xumeng Wang
Wei Chen
Jiazhi Xia
Zhen Wen
Rongchen Zhu
Tobias Schreck
FedML
26
20
0
16 Aug 2022
A Unified Understanding of Deep NLP Models for Text Classification
A Unified Understanding of Deep NLP Models for Text Classification
Zhuguo Li
Xiting Wang
Weikai Yang
Jing Wu
Zhengyan Zhang
Zhiyuan Liu
Maosong Sun
Hui Zhang
Shixia Liu
VLM
28
30
0
19 Jun 2022
VisQA: X-raying Vision and Language Reasoning in Transformers
VisQA: X-raying Vision and Language Reasoning in Transformers
Theo Jaunet
Corentin Kervadec
Romain Vuillemot
G. Antipov
M. Baccouche
Christian Wolf
19
26
0
02 Apr 2021
A Survey of Visual Analytics Techniques for Machine Learning
A Survey of Visual Analytics Techniques for Machine Learning
Jun Yuan
Changjian Chen
Weikai Yang
Mengchen Liu
Jiazhi Xia
Shixia Liu
23
216
0
21 Aug 2020
Neural Machine Translation: A Review and Survey
Neural Machine Translation: A Review and Survey
Felix Stahlberg
3DV
AI4TS
MedIm
28
313
0
04 Dec 2019
SANVis: Visual Analytics for Understanding Self-Attention Networks
SANVis: Visual Analytics for Understanding Self-Attention Networks
Cheonbok Park
Inyoup Na
Yongjang Jo
Sungbok Shin
J. Yoo
Bum Chul Kwon
Jian Zhao
Hyungjong Noh
Yeonsoo Lee
Jaegul Choo
HAI
35
38
0
13 Sep 2019
DRLViz: Understanding Decisions and Memory in Deep Reinforcement
  Learning
DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning
Theo Jaunet
Romain Vuillemot
Christian Wolf
HAI
18
36
0
06 Sep 2019
A User-based Visual Analytics Workflow for Exploratory Model Analysis
A User-based Visual Analytics Workflow for Exploratory Model Analysis
Dylan Cashman
S. Humayoun
Florian Heimerl
Kendall Park
Subhajit Das
...
Abigail Mosca
J. Stasko
Alex Endert
Michael Gleicher
Remco Chang
21
41
0
27 Sep 2018
Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models
Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models
Hendrik Strobelt
Sebastian Gehrmann
M. Behrisch
Adam Perer
Hanspeter Pfister
Alexander M. Rush
VLM
HAI
31
239
0
25 Apr 2018
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhehuai Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
718
6,750
0
26 Sep 2016
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