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1506.06579
Cited By
Understanding Neural Networks Through Deep Visualization
22 June 2015
J. Yosinski
Jeff Clune
Anh Totti Nguyen
Thomas J. Fuchs
Hod Lipson
FAtt
AI4CE
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Papers citing
"Understanding Neural Networks Through Deep Visualization"
50 / 298 papers shown
Title
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems
Edward Chou
Florian Tramèr
Giancarlo Pellegrino
AAML
173
288
0
02 Dec 2018
A Visual Interaction Framework for Dimensionality Reduction Based Data Exploration
M. Cavallo
Çağatay Demiralp
11
55
0
28 Nov 2018
Understanding and Improving Kernel Local Descriptors
Arun Mukundan
Giorgos Tolias
Andrei Bursuc
Hervé Jégou
Ondřej Chum
22
11
0
27 Nov 2018
An overview of deep learning in medical imaging focusing on MRI
A. Lundervold
A. Lundervold
OOD
17
1,608
0
25 Nov 2018
Gradient-Coherent Strong Regularization for Deep Neural Networks
Dae Hoon Park
C. Ho
Yi Chang
Huaqing Zhang
ODL
21
1
0
20 Nov 2018
Learning to synthesize: splitting and recombining low and high spatial frequencies for image recovery
Mo Deng
Shuai Li
George Barbastathis
SupR
27
18
0
19 Nov 2018
An Overview of Computational Approaches for Interpretation Analysis
Philipp Blandfort
Jörn Hees
D. Patton
21
2
0
09 Nov 2018
What evidence does deep learning model use to classify Skin Lesions?
Xiaoxiao Li
Junyan Wu
Eric Z. Chen
Hongda Jiang
19
9
0
02 Nov 2018
Analyzing biological and artificial neural networks: challenges with opportunities for synergy?
David Barrett
Ari S. Morcos
Jakob H. Macke
AI4CE
25
110
0
31 Oct 2018
MAMMO: A Deep Learning Solution for Facilitating Radiologist-Machine Collaboration in Breast Cancer Diagnosis
Nesreen Ahmed
Theodore L. Willke
M. Schaar
19
32
0
30 Oct 2018
Demystifying Neural Network Filter Pruning
Zhuwei Qin
Fuxun Yu
Adam Lesnikowski
Xiang Chen
24
5
0
29 Oct 2018
Distilling Critical Paths in Convolutional Neural Networks
Fuxun Yu
Zhuwei Qin
Xiang Chen
28
22
0
28 Oct 2018
Learning with Interpretable Structure from Gated RNN
Bo-Jian Hou
Zhi-Hua Zhou
AI4CE
21
69
0
25 Oct 2018
Semantic Aware Attention Based Deep Object Co-segmentation
Hong Chen
Yifei Huang
Hideki Nakayama
SSeg
24
73
0
16 Oct 2018
Functionality-Oriented Convolutional Filter Pruning
Zhuwei Qin
Fuxun Yu
Chenchen Liu
Xiang Chen
16
4
0
12 Oct 2018
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
Response Characterization for Auditing Cell Dynamics in Long Short-term Memory Networks
Ramin M. Hasani
Alexander Amini
Mathias Lechner
Felix Naser
Radu Grosu
Daniela Rus
28
25
0
11 Sep 2018
Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI
Xiaoxiao Li
Nicha Dvornek
Juntang Zhuang
P. Ventola
James S. Duncan
34
70
0
23 Aug 2018
Fine-grained visual recognition with salient feature detection
Hui Feng
Shanshan Wang
S. Ge
ObjD
31
3
0
12 Aug 2018
NEUZZ: Efficient Fuzzing with Neural Program Smoothing
Dongdong She
Kexin Pei
Dave Epstein
Junfeng Yang
Baishakhi Ray
Suman Jana
25
185
0
15 Jul 2018
With Friends Like These, Who Needs Adversaries?
Saumya Jetley
Nicholas A. Lord
Philip Torr
AAML
21
70
0
11 Jul 2018
Confidential Inference via Ternary Model Partitioning
Zhongshu Gu
Heqing Huang
Jialong Zhang
D. Su
Hani Jamjoom
Ankita Lamba
Dimitrios E. Pendarakis
Ian Molloy
21
53
0
03 Jul 2018
This Looks Like That: Deep Learning for Interpretable Image Recognition
Chaofan Chen
Oscar Li
Chaofan Tao
A. Barnett
Jonathan Su
Cynthia Rudin
59
1,159
0
27 Jun 2018
Interpretable Discovery in Large Image Data Sets
K. Wagstaff
Jake H. Lee
14
9
0
21 Jun 2018
Towards Robust Interpretability with Self-Explaining Neural Networks
David Alvarez-Melis
Tommi Jaakkola
MILM
XAI
56
933
0
20 Jun 2018
RISE: Randomized Input Sampling for Explanation of Black-box Models
Vitali Petsiuk
Abir Das
Kate Saenko
FAtt
64
1,151
0
19 Jun 2018
Insights on representational similarity in neural networks with canonical correlation
Ari S. Morcos
M. Raghu
Samy Bengio
DRL
32
432
0
14 Jun 2018
Hierarchical interpretations for neural network predictions
Chandan Singh
W. James Murdoch
Bin Yu
31
145
0
14 Jun 2018
Self-Supervised Feature Learning by Learning to Spot Artifacts
Simon Jenni
Paolo Favaro
SSL
150
127
0
13 Jun 2018
Understanding Patch-Based Learning by Explaining Predictions
Christopher J. Anders
G. Montavon
Wojciech Samek
K. Müller
UQCV
FAtt
33
6
0
11 Jun 2018
Collaborative Human-AI (CHAI): Evidence-Based Interpretable Melanoma Classification in Dermoscopic Images
Noel Codella
Chung-Ching Lin
Allan Halpern
Michael Hind
Rogerio Feris
John R. Smith
29
41
0
30 May 2018
How Important Is a Neuron?
Kedar Dhamdhere
Mukund Sundararajan
Qiqi Yan
FAtt
GNN
22
128
0
30 May 2018
Getting to Know Low-light Images with The Exclusively Dark Dataset
Y. P. Loh
Chee Seng Chan
46
538
0
29 May 2018
Deep Anomaly Detection Using Geometric Transformations
I. Golan
Ran El-Yaniv
31
601
0
28 May 2018
SoPa: Bridging CNNs, RNNs, and Weighted Finite-State Machines
Roy Schwartz
Sam Thomson
Noah A. Smith
28
24
0
15 May 2018
Deep Nets: What have they ever done for Vision?
Alan Yuille
Chenxi Liu
25
100
0
10 May 2018
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
Opening the black box of neural nets: case studies in stop/top discrimination
Thomas Roxlo
M. Reece
13
22
0
24 Apr 2018
Improved Fusion of Visual and Language Representations by Dense Symmetric Co-Attention for Visual Question Answering
Duy-Kien Nguyen
Takayuki Okatani
24
279
0
03 Apr 2018
Inverse Visual Question Answering: A New Benchmark and VQA Diagnosis Tool
Feng Liu
Tao Xiang
Timothy M. Hospedales
Wankou Yang
Changyin Sun
30
29
0
16 Mar 2018
Visualizing Convolutional Neural Network Protein-Ligand Scoring
Joshua E. Hochuli
Alec Helbling
Tamar Skaist
Matthew Ragoza
D. Koes
FAtt
16
65
0
06 Mar 2018
Egocentric Basketball Motion Planning from a Single First-Person Image
Gedas Bertasius
Aaron Chan
Jianbo Shi
EgoV
24
25
0
04 Mar 2018
Autoencoder based image compression: can the learning be quantization independent?
Thierry Dumas
A. Roumy
C. Guillemot
OOD
SSL
MQ
13
57
0
23 Feb 2018
Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet
S. H. HasanPour
Mohammad Rouhani
Mohsen Fayyaz
Mohammad Sabokrou
Ehsan Adeli
50
45
0
17 Feb 2018
Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos
Hugo Jair Escalante
Heysem Kaya
A. A. Salah
Sergio Escalera
Yağmur Güçlütürk
...
Furkan Gürpinar
Achmadnoer Sukma Wicaksana
Cynthia C. S. Liem
Marcel van Gerven
R. Lier
22
61
0
02 Feb 2018
Interpretable Deep Convolutional Neural Networks via Meta-learning
Xuan Liu
Xiaoguang Wang
Stan Matwin
FaML
27
6
0
02 Feb 2018
ReNN: Rule-embedded Neural Networks
Hu Wang
AI4TS
26
15
0
30 Jan 2018
Deep saliency: What is learnt by a deep network about saliency?
Sen He
N. Pugeault
SSL
FAtt
24
8
0
12 Jan 2018
What have we learned from deep representations for action recognition?
Christoph Feichtenhofer
A. Pinz
Richard P. Wildes
Andrew Zisserman
SSL
28
47
0
04 Jan 2018
A Multi-Scale and Multi-Depth Convolutional Neural Network for Remote Sensing Imagery Pan-Sharpening
Qiangqiang Yuan
Yancong Wei
Xiangchao Meng
Huanfeng Shen
Liangpei Zhang
27
463
0
28 Dec 2017
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