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Visualizing and Understanding Recurrent Networks

Visualizing and Understanding Recurrent Networks

5 June 2015
A. Karpathy
Justin Johnson
Li Fei-Fei
    HAI
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Papers citing "Visualizing and Understanding Recurrent Networks"

50 / 455 papers shown
Title
From phonemes to images: levels of representation in a recurrent neural
  model of visually-grounded language learning
From phonemes to images: levels of representation in a recurrent neural model of visually-grounded language learning
Lieke Gelderloos
Grzegorz Chrupała
21
31
0
11 Oct 2016
Interpreting Neural Networks to Improve Politeness Comprehension
Interpreting Neural Networks to Improve Politeness Comprehension
Malika Aubakirova
Joey Tianyi Zhou
FAtt
MILM
19
56
0
09 Oct 2016
Memory Visualization for Gated Recurrent Neural Networks in Speech
  Recognition
Memory Visualization for Gated Recurrent Neural Networks in Speech Recognition
Zhiyuan Tang
Ying Shi
Dong Wang
Yang Feng
Shiyue Zhang
22
53
0
28 Sep 2016
Image-to-Markup Generation with Coarse-to-Fine Attention
Image-to-Markup Generation with Coarse-to-Fine Attention
Yuntian Deng
Anssi Kanervisto
Jeffrey Ling
Alexander M. Rush
19
226
0
16 Sep 2016
A deep learning model for estimating story points
A deep learning model for estimating story points
Morakot Choetkiertikul
Hoa Dam
T. Tran
Trang Pham
A. Ghose
Tim Menzies
24
170
0
02 Sep 2016
Visualizing and Understanding Sum-Product Networks
Visualizing and Understanding Sum-Product Networks
Antonio Vergari
Nicola Di Mauro
F. Esposito
FAtt
AAML
TPM
24
45
0
29 Aug 2016
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse
  Time Attention Mechanism
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism
Edward Choi
M. T. Bahadori
Joshua A. Kulas
A. Schuetz
Walter F. Stewart
Jimeng Sun
AI4TS
51
1,230
0
19 Aug 2016
Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction
  Tasks
Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks
Yossi Adi
Einat Kermany
Yonatan Belinkov
Ofer Lavi
Yoav Goldberg
31
541
0
15 Aug 2016
Every Filter Extracts A Specific Texture In Convolutional Neural
  Networks
Every Filter Extracts A Specific Texture In Convolutional Neural Networks
Zhiqiang Xia
Ce Zhu
Z. Wang
Qi Guo
Yipeng Liu
FAtt
20
2
0
15 Aug 2016
DeepDiary: Automatic Caption Generation for Lifelogging Image Streams
DeepDiary: Automatic Caption Generation for Lifelogging Image Streams
Chenyou Fan
David J. Crandall
DiffM
14
5
0
12 Aug 2016
Applying Deep Learning to Basketball Trajectories
Applying Deep Learning to Basketball Trajectories
R. Shah
Rob Romijnders
17
56
0
12 Aug 2016
Deep Motif Dashboard: Visualizing and Understanding Genomic Sequences
  Using Deep Neural Networks
Deep Motif Dashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks
Jack Lanchantin
Ritambhara Singh
Beilun Wang
Yanjun Qi
21
126
0
12 Aug 2016
Syntactically Informed Text Compression with Recurrent Neural Networks
Syntactically Informed Text Compression with Recurrent Neural Networks
David D. Cox
GNN
17
18
0
08 Aug 2016
A Siamese Long Short-Term Memory Architecture for Human
  Re-Identification
A Siamese Long Short-Term Memory Architecture for Human Re-Identification
Rahul Rama Varior
Bing Shuai
Jiwen Lu
Dong Xu
G. Wang
VLM
28
575
0
28 Jul 2016
Gated Siamese Convolutional Neural Network Architecture for Human
  Re-Identification
Gated Siamese Convolutional Neural Network Architecture for Human Re-Identification
Rahul Rama Varior
Mrinal Haloi
G. Wang
26
795
0
28 Jul 2016
Recurrent Memory Array Structures
Recurrent Memory Array Structures
K. Rocki
17
18
0
11 Jul 2016
Sequence to Backward and Forward Sequences: A Content-Introducing
  Approach to Generative Short-Text Conversation
Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation
Lili Mou
Yiping Song
Rui Yan
Ge Li
Lu Zhang
Zhi Jin
23
254
0
04 Jul 2016
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
Hendrik Strobelt
Sebastian Gehrmann
Hanspeter Pfister
Alexander M. Rush
HAI
34
83
0
23 Jun 2016
Analyzing the Behavior of Visual Question Answering Models
Analyzing the Behavior of Visual Question Answering Models
Aishwarya Agrawal
Dhruv Batra
Devi Parikh
32
309
0
23 Jun 2016
Visualizing textual models with in-text and word-as-pixel highlighting
Visualizing textual models with in-text and word-as-pixel highlighting
Abram Handler
Su Lin Blodgett
Brendan O'Connor
17
5
0
20 Jun 2016
Increasing the Interpretability of Recurrent Neural Networks Using
  Hidden Markov Models
Increasing the Interpretability of Recurrent Neural Networks Using Hidden Markov Models
Viktoriya Krakovna
Finale Doshi-Velez
AI4CE
37
69
0
16 Jun 2016
Rationalizing Neural Predictions
Rationalizing Neural Predictions
Tao Lei
Regina Barzilay
Tommi Jaakkola
56
805
0
13 Jun 2016
Applications of Probabilistic Programming (Master's thesis, 2015)
Applications of Probabilistic Programming (Master's thesis, 2015)
Yura N. Perov
26
4
0
31 May 2016
Tweet2Vec: Character-Based Distributed Representations for Social Media
Tweet2Vec: Character-Based Distributed Representations for Social Media
Bhuwan Dhingra
Zhong Zhou
Dylan J. Fitzpatrick
Michael Muehl
William W. Cohen
VLM
13
176
0
11 May 2016
deepMiRGene: Deep Neural Network based Precursor microRNA Prediction
deepMiRGene: Deep Neural Network based Precursor microRNA Prediction
Seunghyun Park
Seonwoo Min
Hyun-Soo Choi
Sungroh Yoon
18
49
0
29 Apr 2016
Bridging LSTM Architecture and the Neural Dynamics during Reading
Bridging LSTM Architecture and the Neural Dynamics during Reading
Peng Qian
Xipeng Qiu
Xuanjing Huang
14
19
0
22 Apr 2016
Learning Visual Storylines with Skipping Recurrent Neural Networks
Learning Visual Storylines with Skipping Recurrent Neural Networks
Gunnar A. Sigurdsson
Xinlei Chen
Abhinav Gupta
29
38
0
14 Apr 2016
Online Multi-Target Tracking Using Recurrent Neural Networks
Online Multi-Target Tracking Using Recurrent Neural Networks
Anton Milan
S. Hamid Rezatofighi
A. Dick
Ian Reid
Konrad Schindler
VOT
28
515
0
13 Apr 2016
NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis
NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis
Amir Shahroudy
Jun Liu
T. Ng
G. Wang
108
2,459
0
11 Apr 2016
Dense Image Representation with Spatial Pyramid VLAD Coding of CNN for
  Locally Robust Captioning
Dense Image Representation with Spatial Pyramid VLAD Coding of CNN for Locally Robust Captioning
Andrew Shin
Masataka Yamaguchi
Katsunori Ohnishi
Tatsuya Harada
53
8
0
30 Mar 2016
Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for
  Automated Image Annotation
Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation
Hoo-Chang Shin
Kirk Roberts
Le Lu
Dina Demner-Fushman
Jianhua Yao
Ronald M. Summers
21
347
0
28 Mar 2016
Deep Learning in Bioinformatics
Deep Learning in Bioinformatics
Seonwoo Min
Byunghan Lee
Sungroh Yoon
AI4CE
3DV
36
1,351
0
21 Mar 2016
Recurrent Dropout without Memory Loss
Recurrent Dropout without Memory Loss
Stanislau Semeniuta
Aliaksei Severyn
Erhardt Barth
32
222
0
16 Mar 2016
Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature
  Representations
Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations
E. Kiperwasser
Yoav Goldberg
29
663
0
14 Mar 2016
From virtual demonstration to real-world manipulation using LSTM and MDN
From virtual demonstration to real-world manipulation using LSTM and MDN
Rouhollah Rahmatizadeh
P. Abolghasemi
Aman Behal
Ladislau Bölöni
32
14
0
12 Mar 2016
Recursive Recurrent Nets with Attention Modeling for OCR in the Wild
Recursive Recurrent Nets with Attention Modeling for OCR in the Wild
Chen-Yu Lee
Simon Osindero
VLM
40
458
0
09 Mar 2016
Noisy Activation Functions
Noisy Activation Functions
Çağlar Gülçehre
Marcin Moczulski
Misha Denil
Yoshua Bengio
9
283
0
01 Mar 2016
Representation of linguistic form and function in recurrent neural
  networks
Representation of linguistic form and function in recurrent neural networks
Ákos Kádár
Grzegorz Chrupała
A. Alishahi
27
162
0
29 Feb 2016
Multifaceted Feature Visualization: Uncovering the Different Types of
  Features Learned By Each Neuron in Deep Neural Networks
Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks
Anh Totti Nguyen
J. Yosinski
Jeff Clune
28
324
0
11 Feb 2016
Strongly-Typed Recurrent Neural Networks
Strongly-Typed Recurrent Neural Networks
David Balduzzi
Muhammad Ghifary
PINN
16
60
0
06 Feb 2016
Language to Logical Form with Neural Attention
Language to Logical Form with Neural Attention
Li Dong
Mirella Lapata
AI4CE
NAI
28
727
0
06 Jan 2016
Recurrent Memory Networks for Language Modeling
Recurrent Memory Networks for Language Modeling
Ke M. Tran
Arianna Bisazza
Christof Monz
30
21
0
06 Jan 2016
Backward and Forward Language Modeling for Constrained Sentence
  Generation
Backward and Forward Language Modeling for Constrained Sentence Generation
Lili Mou
Rui Yan
Ge Li
Lu Zhang
Zhi Jin
GAN
19
33
0
21 Dec 2015
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and
  Recurrent Neural Networks
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks
Sean Bell
C. L. Zitnick
Kavita Bala
Ross B. Girshick
ObjD
41
1,205
0
14 Dec 2015
Named Entity Recognition with Bidirectional LSTM-CNNs
Named Entity Recognition with Bidirectional LSTM-CNNs
Jason P. C. Chiu
Eric Nichols
32
1,888
0
26 Nov 2015
DenseCap: Fully Convolutional Localization Networks for Dense Captioning
DenseCap: Fully Convolutional Localization Networks for Dense Captioning
Justin Johnson
A. Karpathy
Li Fei-Fei
VLM
74
1,159
0
24 Nov 2015
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks
Edward Choi
M. T. Bahadori
A. Schuetz
Walter F. Stewart
Jimeng Sun
8
1,087
0
18 Nov 2015
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Ashesh Jain
Amir Zamir
Silvio Savarese
Ashutosh Saxena
GNN
78
1
0
17 Nov 2015
adaQN: An Adaptive Quasi-Newton Algorithm for Training RNNs
adaQN: An Adaptive Quasi-Newton Algorithm for Training RNNs
N. Keskar
A. Berahas
ODL
9
34
0
04 Nov 2015
On End-to-End Program Generation from User Intention by Deep Neural
  Networks
On End-to-End Program Generation from User Intention by Deep Neural Networks
Lili Mou
Rui Men
Ge Li
Lu Zhang
Zhi Jin
29
46
0
25 Oct 2015
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