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Embedding Comparator: Visualizing Differences in Global Structure and
  Local Neighborhoods via Small Multiples
v1v2v3 (latest)

Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples

10 December 2019
Angie Boggust
Brandon Carter
Arvind Satyanarayan
ArXiv (abs)PDFHTML

Papers citing "Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples"

34 / 34 papers shown
Title
Towards an Explainable Comparison and Alignment of Feature Embeddings
Towards an Explainable Comparison and Alignment of Feature Embeddings
Mohammad Jalali
Bahar Dibaei Nia
Farzan Farnia
46
0
0
06 Jun 2025
Towards Uncertainty Aware Task Delegation and Human-AI Collaborative Decision-Making
Towards Uncertainty Aware Task Delegation and Human-AI Collaborative Decision-Making
Min Hun Lee
Martyn Zhe Yu Tok
45
0
0
23 May 2025
Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations
Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations
Indu Panigrahi
Sunnie S. Y. Kim
Amna Liaqat
Rohan Jinturkar
Olga Russakovsky
Ruth C. Fong
Parastoo Abtahi
FAttHAI
251
1
0
14 Apr 2025
Shared Global and Local Geometry of Language Model Embeddings
Shared Global and Local Geometry of Language Model Embeddings
Andrew Lee
Melanie Weber
F. Viégas
Martin Wattenberg
FedML
113
7
0
27 Mar 2025
CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM
CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM
Minkyu Jeon
Rishwanth Raghu
Miro A. Astore
Geoffrey Woollard
Ryan Feathers
Alkin Kaz
Sonya M. Hanson
Pilar Cossio
Ellen D. Zhong
96
10
0
17 Jan 2025
Interactive Example-based Explanations to Improve Health Professionals'
  Onboarding with AI for Human-AI Collaborative Decision Making
Interactive Example-based Explanations to Improve Health Professionals' Onboarding with AI for Human-AI Collaborative Decision Making
Min Hun Lee
Renee Bao Xuan Ng
Silvana Xin Yi Choo
S. Thilarajah
50
1
0
24 Sep 2024
Charting EDA: Characterizing Interactive Visualization Use in
  Computational Notebooks with a Mixed-Methods Formalism
Charting EDA: Characterizing Interactive Visualization Use in Computational Notebooks with a Mixed-Methods Formalism
Dylan Wootton
Amy Rae Fox
Evan Peck
Arvind Satyanarayan
55
3
0
16 Sep 2024
Linking Robustness and Generalization: A k* Distribution Analysis of
  Concept Clustering in Latent Space for Vision Models
Linking Robustness and Generalization: A k* Distribution Analysis of Concept Clustering in Latent Space for Vision Models
Shashank Kotyan
Pin-Yu Chen
Danilo Vasconcellos Vargas
OOD
74
0
0
17 Aug 2024
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
81
3
0
06 Aug 2024
A Large-Scale Sensitivity Analysis on Latent Embeddings and
  Dimensionality Reductions for Text Spatializations
A Large-Scale Sensitivity Analysis on Latent Embeddings and Dimensionality Reductions for Text Spatializations
Daniel Atzberger
Tim Cech
Willy Scheibel
Jürgen Döllner
M. Behrisch
Tobias Schreck
98
4
0
25 Jul 2024
Concept Lens: Visually Analyzing the Consistency of Semantic
  Manipulation in GANs
Concept Lens: Visually Analyzing the Consistency of Semantic Manipulation in GANs
S. Jeong
Mingwei Li
Matthew Berger
Shusen Liu
121
0
0
28 Jun 2024
Improving Health Professionals' Onboarding with AI and XAI for
  Trustworthy Human-AI Collaborative Decision Making
Improving Health Professionals' Onboarding with AI and XAI for Trustworthy Human-AI Collaborative Decision Making
Min Hun Lee
Silvana Xin Yi Choo
S. Thilarajah
69
1
0
26 May 2024
LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large
  Language Models
LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models
Minsuk Kahng
Ian Tenney
Mahima Pushkarna
Michael Xieyang Liu
James Wexler
Emily Reif
Krystal Kallarackal
Minsuk Chang
Michael Terry
Lucas Dixon
134
22
0
16 Feb 2024
Layer-Wise Analysis of Self-Supervised Acoustic Word Embeddings: A Study
  on Speech Emotion Recognition
Layer-Wise Analysis of Self-Supervised Acoustic Word Embeddings: A Study on Speech Emotion Recognition
Alexandra Saliba
Yuanchao Li
Ramon Sanabria
Catherine Lai
94
11
0
04 Feb 2024
On the verification of Embeddings using Hybrid Markov Logic
On the verification of Embeddings using Hybrid Markov Logic
Anup Shakya
Abisha Thapa Magar
Somdeb Sarkhel
Deepak Venugopal
43
2
0
13 Dec 2023
k* Distribution: Evaluating the Latent Space of Deep Neural Networks
  using Local Neighborhood Analysis
k* Distribution: Evaluating the Latent Space of Deep Neural Networks using Local Neighborhood Analysis
Shashank Kotyan
Tatsuya Ueda
Danilo Vasconcellos Vargas
70
2
0
07 Dec 2023
Latent Space Explorer: Visual Analytics for Multimodal Latent Space
  Exploration
Latent Space Explorer: Visual Analytics for Multimodal Latent Space Exploration
Bum Chul Kwon
S. Friedman
Kai Xu
S. Lubitz
Anthony Philippakis
P. Batra
P. Ellinor
Kenney Ng
50
1
0
01 Dec 2023
RekomGNN: Visualizing, Contextualizing and Evaluating Graph Neural
  Networks Recommendations
RekomGNN: Visualizing, Contextualizing and Evaluating Graph Neural Networks Recommendations
C. Brumar
G. Appleby
Jen Rogers
Teddy Matinde
Lara Thompson
Remco Chang
Anamaria Crisan
HAI
69
1
0
17 Oct 2023
DiffusionWorldViewer: Exposing and Broadening the Worldview Reflected by
  Generative Text-to-Image Models
DiffusionWorldViewer: Exposing and Broadening the Worldview Reflected by Generative Text-to-Image Models
Zoe De Simone
Angie Boggust
Arvindmani Satyanarayan
Ashia Wilson
64
1
0
18 Sep 2023
One Wide Feedforward is All You Need
One Wide Feedforward is All You Need
Telmo Pires
António V. Lopes
Yannick Assogba
Hendra Setiawan
78
13
0
04 Sep 2023
Class-constrained t-SNE: Combining Data Features and Class Probabilities
Class-constrained t-SNE: Combining Data Features and Class Probabilities
Linhao Meng
S. V. D. Elzen
Nicola Pezzotti
Anna Vilanova
66
17
0
26 Aug 2023
EmbeddingTree: Hierarchical Exploration of Entity Features in Embedding
EmbeddingTree: Hierarchical Exploration of Entity Features in Embedding
Yan Zheng
Junpeng Wang
Chin-Chia Michael Yeh
Yujie Fan
Huiyuan Chen
Liang Wang
Wei Zhang
60
2
0
02 Aug 2023
WizMap: Scalable Interactive Visualization for Exploring Large Machine
  Learning Embeddings
WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings
Zijie J. Wang
Fred Hohman
Duen Horng Chau
77
23
0
15 Jun 2023
AttentionViz: A Global View of Transformer Attention
AttentionViz: A Global View of Transformer Attention
Catherine Yeh
Yida Chen
Aoyu Wu
Cynthia Chen
Fernanda Viégas
Martin Wattenberg
ViT
79
55
0
04 May 2023
SensePOLAR: Word sense aware interpretability for pre-trained contextual
  word embeddings
SensePOLAR: Word sense aware interpretability for pre-trained contextual word embeddings
Jan Engler
Sandipan Sikdar
Marlene Lutz
M. Strohmaier
85
7
0
11 Jan 2023
The Role of Interactive Visualization in Explaining (Large) NLP Models:
  from Data to Inference
The Role of Interactive Visualization in Explaining (Large) NLP Models: from Data to Inference
R. Brath
Daniel A. Keim
Johannes Knittel
Shimei Pan
Pia Sommerauer
Hendrik Strobelt
51
11
0
11 Jan 2023
VideoMap: Supporting Video Editing Exploration, Brainstorming, and
  Prototyping in the Latent Space
VideoMap: Supporting Video Editing Exploration, Brainstorming, and Prototyping in the Latent Space
David Chuan-En Lin
Fabian Caba Heilbron
Joon-Young Lee
Oliver Wang
Nikolas Martelaro
VGen
77
4
0
22 Nov 2022
BiaScope: Visual Unfairness Diagnosis for Graph Embeddings
BiaScope: Visual Unfairness Diagnosis for Graph Embeddings
Agapi Rissaki
Bruno Scarone
David Liu
Aditeya Pandey
Brennan Klein
Tina Eliassi-Rad
M. Borkin
FaML
78
6
0
12 Oct 2022
Visual Comparison of Language Model Adaptation
Visual Comparison of Language Model Adaptation
Rita Sevastjanova
E. Cakmak
Shauli Ravfogel
Ryan Cotterell
Mennatallah El-Assady
VLM
94
16
0
17 Aug 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
FAttHAI
123
33
0
04 Apr 2022
Emblaze: Illuminating Machine Learning Representations through
  Interactive Comparison of Embedding Spaces
Emblaze: Illuminating Machine Learning Representations through Interactive Comparison of Embedding Spaces
Venkatesh Sivaraman
Yiwei Wu
Adam Perer
74
22
0
05 Feb 2022
Intuitively Assessing ML Model Reliability through Example-Based
  Explanations and Editing Model Inputs
Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs
Harini Suresh
Kathleen M. Lewis
John Guttag
Arvind Satyanarayan
FAtt
93
26
0
17 Feb 2021
A journey in ESN and LSTM visualisations on a language task
A journey in ESN and LSTM visualisations on a language task
Alexandre Variengien
X. Hinaut
128
9
0
03 Dec 2020
Visually Analyzing Contextualized Embeddings
Visually Analyzing Contextualized Embeddings
M. Berger
51
13
0
05 Sep 2020
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