ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1606.07461
  4. Cited By
LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in
  Recurrent Neural Networks

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
ArXivPDFHTML

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
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
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
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
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
14
18
0
15 Sep 2019
The What-If Tool: Interactive Probing of Machine Learning Models
The What-If Tool: Interactive Probing of Machine Learning Models
James Wexler
Mahima Pushkarna
Tolga Bolukbasi
Martin Wattenberg
F. Viégas
Jimbo Wilson
VLM
15
484
0
09 Jul 2019
Reverse engineering recurrent networks for sentiment classification
  reveals line attractor dynamics
Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics
Niru Maheswaranathan
Alex H. Williams
Matthew D. Golub
Surya Ganguli
David Sussillo
11
77
0
25 Jun 2019
Interpretable machine learning: definitions, methods, and applications
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
Learning Finite State Representations of Recurrent Policy Networks
Anurag Koul
S. Greydanus
Alan Fern
9
87
0
29 Nov 2018
Automatic Detection of Vague Words and Sentences in Privacy Policies
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?
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
Translating Neuralese
Jacob Andreas
Anca Dragan
Dan Klein
19
58
0
23 Apr 2017
1