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. 2005.06139
  4. Cited By
Towards Interpretable Deep Learning Models for Knowledge Tracing

Towards Interpretable Deep Learning Models for Knowledge Tracing

13 May 2020
Yu Lu
De-Wu Wang
Qinggang Meng
Penghe Chen
ArXivPDFHTML

Papers citing "Towards Interpretable Deep Learning Models for Knowledge Tracing"

15 / 15 papers shown
Title
Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using
  Item Response Theory
Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory
Chun-Kit Yeung
47
115
0
26 Apr 2019
Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing
Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing
Frank Soboczenski
H. Kashima
38
161
0
08 Nov 2018
Towards Robust Interpretability with Self-Explaining Neural Networks
Towards Robust Interpretability with Self-Explaining Neural Networks
David Alvarez-Melis
Tommi Jaakkola
MILM
XAI
105
938
0
20 Jun 2018
Addressing Two Problems in Deep Knowledge Tracing via
  Prediction-Consistent Regularization
Addressing Two Problems in Deep Knowledge Tracing via Prediction-Consistent Regularization
Chun-Kit Yeung
Dit-Yan Yeung
AI4Ed
45
256
0
06 Jun 2018
Towards Explanation of DNN-based Prediction with Guided Feature
  Inversion
Towards Explanation of DNN-based Prediction with Guided Feature Inversion
Mengnan Du
Ninghao Liu
Qingquan Song
Xia Hu
FAtt
44
127
0
19 Mar 2018
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
268
2,254
0
24 Jun 2017
Explaining Recurrent Neural Network Predictions in Sentiment Analysis
Explaining Recurrent Neural Network Predictions in Sentiment Analysis
L. Arras
G. Montavon
K. Müller
Wojciech Samek
FAtt
45
354
0
22 Jun 2017
"What is Relevant in a Text Document?": An Interpretable Machine
  Learning Approach
"What is Relevant in a Text Document?": An Interpretable Machine Learning Approach
L. Arras
F. Horn
G. Montavon
K. Müller
Wojciech Samek
49
288
0
23 Dec 2016
Dynamic Key-Value Memory Networks for Knowledge Tracing
Dynamic Key-Value Memory Networks for Knowledge Tracing
Jiani Zhang
Xingjian Shi
Irwin King
Dit-Yan Yeung
AI4Ed
KELM
47
612
0
24 Nov 2016
Identifying individual facial expressions by deconstructing a neural
  network
Identifying individual facial expressions by deconstructing a neural network
F. Arbabzadah
G. Montavon
K. Müller
Wojciech Samek
CVBM
FAtt
34
31
0
23 Jun 2016
Analyzing Classifiers: Fisher Vectors and Deep Neural Networks
Analyzing Classifiers: Fisher Vectors and Deep Neural Networks
Sebastian Bach
Alexander Binder
G. Montavon
K. Müller
Wojciech Samek
66
199
0
01 Dec 2015
Deep Knowledge Tracing
Deep Knowledge Tracing
Chris Piech
J. Bassen
Jonathan Huang
Surya Ganguli
Mehran Sahami
Leonidas Guibas
Jascha Narain Sohl-Dickstein
AI4Ed
HAI
84
1,145
0
19 Jun 2015
On the Properties of Neural Machine Translation: Encoder-Decoder
  Approaches
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Kyunghyun Cho
B. V. Merrienboer
Dzmitry Bahdanau
Yoshua Bengio
AI4CE
AIMat
159
6,760
0
03 Sep 2014
Interpreting Tree Ensembles with inTrees
Interpreting Tree Ensembles with inTrees
Houtao Deng
65
241
0
23 Aug 2014
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
327
15,825
0
12 Nov 2013
1