Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1506.02078
Cited By
v1
v2 (latest)
Visualizing and Understanding Recurrent Networks
5 June 2015
A. Karpathy
Justin Johnson
Li Fei-Fei
HAI
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Visualizing and Understanding Recurrent Networks"
50 / 464 papers shown
Gradient Descent: The Ultimate Optimizer
Neural Information Processing Systems (NeurIPS), 2019
Kartik Chandra
Audrey Xie
Jonathan Ragan-Kelley
E. Meijer
ODL
198
0
0
29 Sep 2019
Multi-Dimensional Explanation of Target Variables from Documents
Diego Antognini
C. Musat
Boi Faltings
190
2
0
25 Sep 2019
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Eric Wallace
Jens Tuyls
Junlin Wang
Sanjay Subramanian
Matt Gardner
Sameer Singh
MILM
210
143
0
19 Sep 2019
Generating Philosophical Statements using Interpolated Markov Models and Dynamic Templates
Thomas Winters
72
3
0
19 Sep 2019
Social and Scene-Aware Trajectory Prediction in Crowded Spaces
Matteo Lisotto
Pasquale Coscia
Lamberto Ballan
126
80
0
19 Sep 2019
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
136
20
0
15 Sep 2019
Analyzing machine-learned representations: A natural language case study
Cognitive Sciences (CS), 2019
Ishita Dasgupta
Demi Guo
S. Gershman
Noah D. Goodman
NAI
142
13
0
12 Sep 2019
DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning
Theo Jaunet
Romain Vuillemot
Christian Wolf
HAI
261
39
0
06 Sep 2019
PREMA: A Predictive Multi-task Scheduling Algorithm For Preemptible Neural Processing Units
International Symposium on High-Performance Computer Architecture (HPCA), 2019
Yujeong Choi
Minsoo Rhu
141
154
0
06 Sep 2019
Visualizing RNN States with Predictive Semantic Encodings
Visual .. (VISUAL), 2019
Lindsey Sawatzky
Steven Bergner
F. Popowich
147
6
0
01 Aug 2019
Deep Multi-Kernel Convolutional LSTM Networks and an Attention-Based Mechanism for Videos
IEEE transactions on multimedia (IEEE TMM), 2019
Sebastian Agethen
Winston H. Hsu
HAI
162
29
0
30 Jul 2019
RNNbow: Visualizing Learning via Backpropagation Gradients in Recurrent Neural Networks
IEEE Computer Graphics and Applications (CG&A), 2018
Dylan Cashman
Genevieve Patterson
Abigail Mosca
Nathan Watts
Shannon Robinson
Remco Chang
FAtt
129
37
0
29 Jul 2019
Interpretable and Steerable Sequence Learning via Prototypes
Knowledge Discovery and Data Mining (KDD), 2019
Yao Ming
Panpan Xu
Huamin Qu
Liu Ren
AI4TS
220
156
0
23 Jul 2019
Sparsity Emerges Naturally in Neural Language Models
Naomi Saphra
Adam Lopez
MILM
96
1
0
22 Jul 2019
Self-Attentive Hawkes Processes
Qiang Zhang
Aldo Lipani
Ömer Kirnap
Emine Yilmaz
AI4TS
481
46
0
17 Jul 2019
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Erico Tjoa
Cuntai Guan
XAI
661
1,793
0
17 Jul 2019
Improving the Performance of the LSTM and HMM Model via Hybridization
Larkin Liu
Yu-Chung Lin
Joshua Reid
300
10
0
09 Jul 2019
A Comparative Analysis of Knowledge-Intensive and Data-Intensive Semantic Parsers
Junjie Cao
Zi-yu Lin
Weiwei SUN
Xiaojun Wan
123
1
0
04 Jul 2019
Understanding Memory Modules on Learning Simple Algorithms
Kexin Wang
Yu Zhou
Shaonan Wang
Jiajun Zhang
Chengqing Zong
139
0
0
01 Jul 2019
Widening the Representation Bottleneck in Neural Machine Translation with Lexical Shortcuts
Conference on Machine Translation (WMT), 2019
Denis Emelin
Ivan Titov
Rico Sennrich
148
10
0
28 Jun 2019
Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics
Neural Information Processing Systems (NeurIPS), 2019
Niru Maheswaranathan
Alex H. Williams
Matthew D. Golub
Surya Ganguli
David Sussillo
215
90
0
25 Jun 2019
Machine Learning Testing: Survey, Landscapes and Horizons
IEEE Transactions on Software Engineering (TSE), 2019
Jie M. Zhang
Mark Harman
Lei Ma
Yang Liu
VLM
AILaw
280
829
0
19 Jun 2019
Open Sesame: Getting Inside BERT's Linguistic Knowledge
Yongjie Lin
Y. Tan
Robert Frank
199
298
0
04 Jun 2019
On the Realization of Compositionality in Neural Networks
Joris Baan
Jana Leible
Mitja Nikolaus
David Rau
Dennis Ulmer
Tim Baumgärtner
Dieuwke Hupkes
Elia Bruni
CoGe
127
16
0
04 Jun 2019
Seeing the Wind: Visual Wind Speed Prediction with a Coupled Convolutional and Recurrent Neural Network
Neural Information Processing Systems (NeurIPS), 2019
Jennifer L. Cardona
M. Howland
J. Dabiri
128
33
0
30 May 2019
Clustering and Recognition of Spatiotemporal Features through Interpretable Embedding of Sequence to Sequence Recurrent Neural Networks
Frontiers in Artificial Intelligence (FAI), 2019
Kun Su
Eli Shlizerman
183
14
0
29 May 2019
Interpreting a Recurrent Neural Network's Predictions of ICU Mortality Risk
L. Ho
M. Aczon
D. Ledbetter
R. Wetzel
199
3
0
23 May 2019
Mutual Information Scaling and Expressive Power of Sequence Models
Huitao Shen
186
20
0
10 May 2019
Learning higher-order sequential structure with cloned HMMs
Antoine Dedieu
Nishad Gothoskar
Scott Swingle
Wolfgang Lehrach
Miguel Lazaro-Gredilla
Dileep George
290
20
0
01 May 2019
Optical Transient Object Classification in Wide Field Small Aperture Telescopes with Neural Networks
Astronomical Journal (AJ), 2019
P. Jia
Yifei Zhao
Gang Xue
Dongmei Cai
134
21
0
29 Apr 2019
Multi-modal gated recurrent units for image description
Xuelong Li
Aihong Yuan
Xiaoqiang Lu
GAN
117
29
0
20 Apr 2019
Attentive Action and Context Factorization
Yanjie Wang
Vinh Tran
Gedas Bertasius
Lorenzo Torresani
Minh Hoai
116
7
0
10 Apr 2019
Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents
Christian Rupprecht
Cyril Ibrahim
C. Pal
171
34
0
02 Apr 2019
On Attribution of Recurrent Neural Network Predictions via Additive Decomposition
Mengnan Du
Ninghao Liu
Fan Yang
Shuiwang Ji
Helen Zhou
FAtt
152
53
0
27 Mar 2019
Linguistic Knowledge and Transferability of Contextual Representations
North American Chapter of the Association for Computational Linguistics (NAACL), 2019
Nelson F. Liu
Matt Gardner
Yonatan Belinkov
Matthew E. Peters
Noah A. Smith
928
794
0
21 Mar 2019
NeuralHydrology -- Interpreting LSTMs in Hydrology
Frederik Kratzert
M. Herrnegger
D. Klotz
Sepp Hochreiter
Günter Klambauer
145
98
0
19 Mar 2019
The emergence of number and syntax units in LSTM language models
North American Chapter of the Association for Computational Linguistics (NAACL), 2019
Yair Lakretz
Germán Kruszewski
T. Desbordes
Dieuwke Hupkes
S. Dehaene
Marco Baroni
312
182
0
18 Mar 2019
Technical notes: Syntax-aware Representation Learning With Pointer Networks
Matteo Grella
121
0
0
17 Mar 2019
Character Eyes: Seeing Language through Character-Level Taggers
Yuval Pinter
Marc Marone
Jacob Eisenstein
163
7
0
12 Mar 2019
Probabilistic Modeling for Novelty Detection with Applications to Fraud Identification
Rémi Domingues
AAML
120
3
0
05 Mar 2019
A comparative evaluation of novelty detection algorithms for discrete sequences
Artificial Intelligence Review (AIR), 2019
Rémi Domingues
Pietro Michiardi
Jérémie Barlet
Maurizio Filippone
144
20
0
28 Feb 2019
Representing Formal Languages: A Comparison Between Finite Automata and Recurrent Neural Networks
International Conference on Learning Representations (ICLR), 2019
Joshua J. Michalenko
Ameesh Shah
Abhinav Verma
Richard G. Baraniuk
Swarat Chaudhuri
Ankit B. Patel
AI4CE
226
25
0
27 Feb 2019
Phoneme Level Language Models for Sequence Based Low Resource ASR
Siddharth Dalmia
Xinjian Li
A. Black
Florian Metze
101
7
0
20 Feb 2019
Understanding and Controlling Memory in Recurrent Neural Networks
Doron Haviv
A. Rivkind
O. Barak
129
23
0
19 Feb 2019
Discovery of Natural Language Concepts in Individual Units of CNNs
Seil Na
Yo Joong Choe
Dong-Hyun Lee
Gunhee Kim
MILM
125
25
0
18 Feb 2019
LS-Tree: Model Interpretation When the Data Are Linguistic
AAAI Conference on Artificial Intelligence (AAAI), 2019
Jianbo Chen
Sai Li
148
19
0
11 Feb 2019
Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI
Shane T. Mueller
R. Hoffman
W. Clancey
Abigail Emrey
Gary Klein
XAI
259
308
0
05 Feb 2019
Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping
Michael Moor
Max Horn
Bastian Rieck
D. Roqueiro
Karsten Borgwardt
281
15
0
05 Feb 2019
Saliency Tubes: Visual Explanations for Spatio-Temporal Convolutions
Alexandros Stergiou
G. Kapidis
Grigorios Kalliatakis
C. Chrysoulas
R. Veltkamp
R. Poppe
FAtt
166
50
0
04 Feb 2019
On the Units of GANs (Extended Abstract)
David Bau
Jun-Yan Zhu
Hendrik Strobelt
Bolei Zhou
J. Tenenbaum
William T. Freeman
Antonio Torralba
115
65
0
29 Jan 2019
Previous
1
2
3
4
5
6
...
8
9
10
Next
Page 5 of 10
