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Visual Analytics in Deep Learning: An Interrogative Survey for the Next
  Frontiers

Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers

21 January 2018
Fred Hohman
Minsuk Kahng
Robert S. Pienta
Duen Horng Chau
    OOD
    HAI
ArXivPDFHTML

Papers citing "Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers"

50 / 60 papers shown
Title
Embedding Atlas: Low-Friction, Interactive Embedding Visualization
Embedding Atlas: Low-Friction, Interactive Embedding Visualization
Donghao Ren
Fred Hohman
Halden Lin
Dominik Moritz
19
0
0
09 May 2025
Compress and Compare: Interactively Evaluating Efficiency and Behavior
  Across ML Model Compression Experiments
Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments
Angie Boggust
Venkatesh Sivaraman
Yannick Assogba
Donghao Ren
Dominik Moritz
Fred Hohman
VLM
50
3
0
06 Aug 2024
A Moonshot for AI Oracles in the Sciences
A Moonshot for AI Oracles in the Sciences
Bryan Kaiser
Tailin Wu
Maike Sonnewald
Colin Thackray
Skylar Callis
AI4CE
51
0
0
25 Jun 2024
Amphion: An Open-Source Audio, Music and Speech Generation Toolkit
Amphion: An Open-Source Audio, Music and Speech Generation Toolkit
Xueyao Zhang
Liumeng Xue
Yicheng Gu
Yuancheng Wang
Haorui He
...
Mingxuan Wang
Jun Han
Kai Chen
Haizhou Li
Zhizheng Wu
27
26
0
15 Dec 2023
Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML
  Research
Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Research
Hariharan Subramonyam
Jessica Hullman
VLM
HAI
27
8
0
10 Aug 2023
My Model is Unfair, Do People Even Care? Visual Design Affects Trust and
  Perceived Bias in Machine Learning
My Model is Unfair, Do People Even Care? Visual Design Affects Trust and Perceived Bias in Machine Learning
Aimen Gaba
Zhanna Kaufman
Jason Chueng
Marie Shvakel
Kyle Wm. Hall
Yuriy Brun
Cindy Xiong Bearfield
25
14
0
07 Aug 2023
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed
  on Orbits
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits
Zhuokai Zhao
Takumi Matsuzawa
W. Irvine
Michael Maire
G. Kindlmann
35
2
0
31 May 2023
Visualization for Recommendation Explainability: A Survey and New
  Perspectives
Visualization for Recommendation Explainability: A Survey and New Perspectives
Mohamed Amine Chatti
Mouadh Guesmi
Arham Muslim
XAI
HAI
LRM
20
5
0
19 May 2023
Radar-Camera Fusion for Object Detection and Semantic Segmentation in
  Autonomous Driving: A Comprehensive Review
Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Review
Shanliang Yao
Runwei Guan
Xiaoyu Huang
Zhuoxiao Li
Xiangyu Sha
...
Eng Gee Lim
H. Seo
Ka Lok Man
Xiaohui Zhu
Yutao Yue
41
91
0
20 Apr 2023
Angler: Helping Machine Translation Practitioners Prioritize Model
  Improvements
Angler: Helping Machine Translation Practitioners Prioritize Model Improvements
Samantha Robertson
Zijie J. Wang
Dominik Moritz
Mary Beth Kery
Fred Hohman
30
15
0
12 Apr 2023
DeforestVis: Behavior Analysis of Machine Learning Models with Surrogate
  Decision Stumps
DeforestVis: Behavior Analysis of Machine Learning Models with Surrogate Decision Stumps
Angelos Chatzimparmpas
Rafael M. Martins
A. Telea
Andreas Kerren
16
1
0
31 Mar 2023
How Does Attention Work in Vision Transformers? A Visual Analytics
  Attempt
How Does Attention Work in Vision Transformers? A Visual Analytics Attempt
Yiran Li
Junpeng Wang
Xin Dai
Liang Wang
Chin-Chia Michael Yeh
Yan Zheng
Wei Zhang
Kwan-Liu Ma
ViT
20
23
0
24 Mar 2023
The State of the Art in Enhancing Trust in Machine Learning Models with
  the Use of Visualizations
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations
Angelos Chatzimparmpas
R. Martins
I. Jusufi
K. Kucher
Fabrice Rossi
A. Kerren
FAtt
24
160
0
22 Dec 2022
Visual Auditor: Interactive Visualization for Detection and
  Summarization of Model Biases
Visual Auditor: Interactive Visualization for Detection and Summarization of Model Biases
David Munechika
Zijie J. Wang
Jack Reidy
Josh Rubin
Krishna Gade
K. Kenthapadi
Duen Horng Chau
MLAU
21
18
0
25 Jun 2022
Diagnosing Ensemble Few-Shot Classifiers
Diagnosing Ensemble Few-Shot Classifiers
Weikai Yang
Xi Ye
Xingxing Zhang
Lanxi Xiao
Jiazhi Xia
Zhongyuan Wang
Jun Zhu
Hanspeter Pfister
Shixia Liu
25
16
0
09 Jun 2022
A Design Space for Explainable Ranking and Ranking Models
A Design Space for Explainable Ranking and Ranking Models
I. A. Hazwani
J. Schmid
M. Sachdeva
J. Bernard
XAI
26
3
0
27 May 2022
DendroMap: Visual Exploration of Large-Scale Image Datasets for Machine
  Learning with Treemaps
DendroMap: Visual Exploration of Large-Scale Image Datasets for Machine Learning with Treemaps
Donald Bertucci
M. Hamid
Yashwanthi Anand
Anita Ruangrotsakun
Delyar Tabatabai
Melissa Perez
Minsuk Kahng
38
29
0
14 May 2022
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific
  Visualization
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization
Chaoli Wang
J. Han
28
36
0
13 Apr 2022
ConceptExplainer: Interactive Explanation for Deep Neural Networks from
  a Concept Perspective
ConceptExplainer: Interactive Explanation for Deep Neural Networks from a Concept Perspective
Jinbin Huang
Aditi Mishra
Bum Chul Kwon
Chris Bryan
FAtt
HAI
38
31
0
04 Apr 2022
Testing Feedforward Neural Networks Training Programs
Testing Feedforward Neural Networks Training Programs
Houssem Ben Braiek
Foutse Khomh
AAML
11
14
0
01 Apr 2022
Aligning Eyes between Humans and Deep Neural Network through Interactive
  Attention Alignment
Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment
Yuyang Gao
Tong Sun
Liang Zhao
Sungsoo Ray Hong
HAI
21
37
0
06 Feb 2022
Debiased-CAM to mitigate systematic error with faithful visual explanations of machine learning
Wencan Zhang
Mariella Dimiccoli
Brian Y. Lim
FAtt
19
1
0
30 Jan 2022
Learning-From-Disagreement: A Model Comparison and Visual Analytics
  Framework
Learning-From-Disagreement: A Model Comparison and Visual Analytics Framework
Junpeng Wang
Liang Wang
Yan Zheng
Chin-Chia Michael Yeh
Shubham Jain
Wei Zhang
FAtt
22
12
0
19 Jan 2022
Towards Relatable Explainable AI with the Perceptual Process
Towards Relatable Explainable AI with the Perceptual Process
Wencan Zhang
Brian Y. Lim
AAML
XAI
20
61
0
28 Dec 2021
GenNI: Human-AI Collaboration for Data-Backed Text Generation
GenNI: Human-AI Collaboration for Data-Backed Text Generation
Hendrik Strobelt
J. Kinley
Robert Krueger
Johanna Beyer
Hanspeter Pfister
Alexander M. Rush
18
23
0
19 Oct 2021
Activation Landscapes as a Topological Summary of Neural Network
  Performance
Activation Landscapes as a Topological Summary of Neural Network Performance
Matthew Wheeler
Jose J. Bouza
Peter Bubenik
28
19
0
19 Oct 2021
From Heatmaps to Structural Explanations of Image Classifiers
From Heatmaps to Structural Explanations of Image Classifiers
Li Fuxin
Zhongang Qi
Saeed Khorram
Vivswan Shitole
Prasad Tadepalli
Minsuk Kahng
Alan Fern
XAI
FAtt
23
4
0
13 Sep 2021
T3-Vis: a visual analytic framework for Training and fine-Tuning
  Transformers in NLP
T3-Vis: a visual analytic framework for Training and fine-Tuning Transformers in NLP
Raymond Li
Wen Xiao
Lanjun Wang
Hyeju Jang
Giuseppe Carenini
ViT
23
23
0
31 Aug 2021
Feature Importance in a Deep Learning Climate Emulator
Feature Importance in a Deep Learning Climate Emulator
Wei-ping Xu
Xihaier Luo
Yihui Ren
Ji Hwan Park
Shinjae Yoo
B. Nadiga
FAtt
AI4TS
29
3
0
27 Aug 2021
XAI Methods for Neural Time Series Classification: A Brief Review
XAI Methods for Neural Time Series Classification: A Brief Review
Ilija vSimić
Vedran Sabol
Eduardo E. Veas
BDL
AI4TS
27
13
0
18 Aug 2021
KG4Vis: A Knowledge Graph-Based Approach for Visualization
  Recommendation
KG4Vis: A Knowledge Graph-Based Approach for Visualization Recommendation
Haotian Li
Yong Wang
Songheng Zhang
Yangqiu Song
Huamin Qu
39
82
0
27 Jul 2021
Improving Visualization Interpretation Using Counterfactuals
Improving Visualization Interpretation Using Counterfactuals
Smiti Kaul
D. Borland
Nan Cao
David Gotz
CML
10
17
0
21 Jul 2021
Visualizing Graph Neural Networks with CorGIE: Corresponding a Graph to
  Its Embedding
Visualizing Graph Neural Networks with CorGIE: Corresponding a Graph to Its Embedding
Zipeng Liu
Yangkun Wang
J. Bernard
T. Munzner
37
23
0
24 Jun 2021
A Review on Explainability in Multimodal Deep Neural Nets
A Review on Explainability in Multimodal Deep Neural Nets
Gargi Joshi
Rahee Walambe
K. Kotecha
23
137
0
17 May 2021
EmergencyNet: Efficient Aerial Image Classification for Drone-Based
  Emergency Monitoring Using Atrous Convolutional Feature Fusion
EmergencyNet: Efficient Aerial Image Classification for Drone-Based Emergency Monitoring Using Atrous Convolutional Feature Fusion
C. Kyrkou
T. Theocharides
29
130
0
28 Apr 2021
Explainable Adversarial Attacks in Deep Neural Networks Using Activation
  Profiles
Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles
G. Cantareira
R. Mello
F. Paulovich
AAML
16
9
0
18 Mar 2021
Facilitating Knowledge Sharing from Domain Experts to Data Scientists
  for Building NLP Models
Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models
Soya Park
A. Wang
B. Kawas
Q. V. Liao
David Piorkowski
Marina Danilevsky
56
55
0
29 Jan 2021
Beyond Expertise and Roles: A Framework to Characterize the Stakeholders
  of Interpretable Machine Learning and their Needs
Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs
Harini Suresh
Steven R. Gomez
K. Nam
Arvind Satyanarayan
34
126
0
24 Jan 2021
Outcome-Explorer: A Causality Guided Interactive Visual Interface for
  Interpretable Algorithmic Decision Making
Outcome-Explorer: A Causality Guided Interactive Visual Interface for Interpretable Algorithmic Decision Making
Md. Naimul Hoque
Klaus Mueller
CML
51
30
0
03 Jan 2021
Debiased-CAM to mitigate image perturbations with faithful visual
  explanations of machine learning
Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning
Wencan Zhang
Mariella Dimiccoli
Brian Y. Lim
FAtt
18
18
0
10 Dec 2020
Explainable Artificial Intelligence for Process Mining: A General
  Overview and Application of a Novel Local Explanation Approach for Predictive
  Process Monitoring
Explainable Artificial Intelligence for Process Mining: A General Overview and Application of a Novel Local Explanation Approach for Predictive Process Monitoring
Nijat Mehdiyev
Peter Fettke
AI4TS
25
55
0
04 Sep 2020
Attention Flows: Analyzing and Comparing Attention Mechanisms in
  Language Models
Attention Flows: Analyzing and Comparing Attention Mechanisms in Language Models
Joseph F DeRose
Jiayao Wang
M. Berger
17
83
0
03 Sep 2020
A Survey of Visual Analytics Techniques for Machine Learning
A Survey of Visual Analytics Techniques for Machine Learning
Jun Yuan
Changjian Chen
Weikai Yang
Mengchen Liu
Jiazhi Xia
Shixia Liu
19
216
0
21 Aug 2020
Revisiting the Modifiable Areal Unit Problem in Deep Traffic Prediction
  with Visual Analytics
Revisiting the Modifiable Areal Unit Problem in Deep Traffic Prediction with Visual Analytics
Wei Zeng
Chengqiao Lin
Juncong Lin
Jincheng Jiang
Jiazhi Xia
Cagatay Turkay
Wei-Neng Chen
18
27
0
30 Jul 2020
Unleashing the power of disruptive and emerging technologies amid
  COVID-19: A detailed review
Unleashing the power of disruptive and emerging technologies amid COVID-19: A detailed review
Sonali Agarwal
Narinder Singh Punn
S. K. Sonbhadra
M. Tanveer
P. Nagabhushan
K. K. S. Pandian
Praveer Saxena
10
58
0
23 May 2020
The Grammar of Interactive Explanatory Model Analysis
The Grammar of Interactive Explanatory Model Analysis
Hubert Baniecki
Dariusz Parzych
P. Biecek
18
44
0
01 May 2020
DRLViz: Understanding Decisions and Memory in Deep Reinforcement
  Learning
DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning
Theo Jaunet
Romain Vuillemot
Christian Wolf
HAI
10
36
0
06 Sep 2019
LassoNet: Deep Lasso-Selection of 3D Point Clouds
LassoNet: Deep Lasso-Selection of 3D Point Clouds
Zhutian Chen
Wei Zeng
Zhiguang Yang
Lingyun Yu
Chi-Wing Fu
Huamin Qu
3DPC
18
44
0
31 Jul 2019
Visual Interaction with Deep Learning Models through Collaborative
  Semantic Inference
Visual Interaction with Deep Learning Models through Collaborative Semantic Inference
Sebastian Gehrmann
Hendrik Strobelt
Robert Krüger
Hanspeter Pfister
Alexander M. Rush
HAI
15
57
0
24 Jul 2019
The Role of Cooperation in Responsible AI Development
The Role of Cooperation in Responsible AI Development
Amanda Askell
Miles Brundage
Gillian Hadfield
14
59
0
10 Jul 2019
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