GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation

5 September 2018

Papers citing "GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation"

50 / 71 papers shown

Title
The interplay of robustness and generalization in quantum machine learning Julian Berberich Tobias Fellner Christian Holm AAML 45 0 0 10 Jun 2025
ChannelExplorer: Exploring Class Separability Through Activation Channel Visualization Md Rahat-uz- Zaman Bei Wang Paul Rosen 50 0 0 06 May 2025
ParetoLens: A Visual Analytics Framework for Exploring Solution Sets of Multi-objective Evolutionary Algorithms Yuxin Ma Zherui Zhang Ran Cheng Yaochu Jin Kay Chen Tan 68 0 0 06 Jan 2025
Gamifying XAI: Enhancing AI Explainability for Non-technical Users through LLM-Powered Narrative Gamifications Yuzhe You Jian Zhao 118 1 0 05 Oct 2024
MARLens: Understanding Multi-agent Reinforcement Learning for Traffic Signal Control via Visual Analytics Yutian Zhang Guohong Zheng Zhiyuan Liu Quan Li Haipeng Zeng 99 3 0 02 Oct 2024
ParetoTracker: Understanding Population Dynamics in Multi-objective Evolutionary Algorithms through Visual Analytics Zherui Zhang Fan Yang Ran Cheng Yuxin Ma 58 1 0 08 Aug 2024
Form Forge: Latent Space Exploration of Architectural Forms via Explicit Latent Variable Manipulation Kevin Dunnell Andy Lippman AI4CE 82 0 0 06 Jul 2024
Visualize and Paint GAN Activations Rudolf Herdt Peter Maass GAN FAtt 43 0 0 24 May 2024
Harder, Better, Faster, Stronger: Interactive Visualization for Human-Centered AI Tools Md. Naimul Hoque Sungbok Shin Niklas Elmqvist 76 1 0 02 Apr 2024
SingVisio: Visual Analytics of Diffusion Model for Singing Voice Conversion Liumeng Xue Chaoren Wang Mingxuan Wang Xueyao Zhang Jun Han Zhizheng Wu DiffM 68 6 0 20 Feb 2024
Computational Experiments Meet Large Language Model Based Agents: A Survey and Perspective Qun Ma Xiao Xue Deyu Zhou Xiangning Yu Donghua Liu ... Yifan Shen Peilin Ji Juanjuan Li Gang Wang Wanpeng Ma AI4CE LM&Ro LLMAG 92 9 0 01 Feb 2024
EL-VIT: Probing Vision Transformer with Interactive Visualization Hong Zhou Rui Zhang Peifeng Lai Chaoran Guo Yong Wang Zhida Sun Junjie Li 22 1 0 23 Jan 2024
VIOLET: Visual Analytics for Explainable Quantum Neural Networks Shaolun Ruan Zhiding Liang Qian-Guo Guan Paul Griffin Xiaolin Wen Yanna Lin Yong Wang 76 1 0 23 Dec 2023
An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions Jingyu Shi Rahul Jain Hyungjun Doh Ryo Suzuki Karthik Ramani 3DV 80 24 0 11 Oct 2023
Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning Experiences Fred Hohman Mary Beth Kery Donghao Ren Dominik Moritz 108 19 0 06 Oct 2023
A Review of Digital Learning Environments for Teaching Natural Language Processing in K-12 Education Xiaoyi Tian K. Boyer 33 2 0 02 Oct 2023
Towards Better Modeling with Missing Data: A Contrastive Learning-based Visual Analytics Perspective Laixin Xie Ouyang Yang Long-fei Chen Ziming Wu Quan Li 55 0 0 18 Sep 2023
Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Research Hariharan Subramonyam Jessica Hullman VLM HAI 55 8 0 10 Aug 2023
A Comparative Visual Analytics Framework for Evaluating Evolutionary Processes in Multi-objective Optimization Ya-Wen Huang Zherui Zhang Ao Jiao Yuxin Ma Ran Cheng 66 6 0 10 Aug 2023
From Unimodal to Multimodal: improving sEMG-Based Pattern Recognition via deep generative models Wentao Wei Linyan Ren 50 1 0 08 Aug 2023
Visual Analytics For Machine Learning: A Data Perspective Survey Junpeng Wang Shixia Liu Wei Zhang HAI 87 20 0 15 Jul 2023
ManimML: Communicating Machine Learning Architectures with Animation Alec Helbling Duen Horng Chau 3DH AI4CE 24 1 0 29 Jun 2023
Visualization for Recommendation Explainability: A Survey and New Perspectives Mohamed Amine Chatti Mouadh Guesmi Arham Muslim XAI HAI LRM 63 7 0 19 May 2023
FICNN: A Framework for the Interpretation of Deep Convolutional Neural Networks Hamed Behzadi-Khormouji José Oramas 45 0 0 17 May 2023
Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion Seongmin Lee Benjamin Hoover Hendrik Strobelt Zijie J. Wang Sheng-Hsuan Peng Austin P. Wright Kevin Wenliang Li Haekyu Park Haoyang Yang Duen Horng Chau 67 23 0 04 May 2023
Human-AI Co-Creation Approach to Find Forever Chemicals Replacements J. Ferreira V. Segura J. G. R. Souza Gabriel D. J. Barbosa Joao Gallas Renato F. G. Cerqueira Dmitry Zubarev 38 0 0 11 Apr 2023
WebSHAP: Towards Explaining Any Machine Learning Models Anywhere Zijie J. Wang Duen Horng Chau 77 3 0 16 Mar 2023
GAM Coach: Towards Interactive and User-centered Algorithmic Recourse Zijie J. Wang J. W. Vaughan R. Caruana Duen Horng Chau HAI 94 22 0 27 Feb 2023
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 96 162 0 22 Dec 2022
medigan: a Python library of pretrained generative models for medical image synthesis Richard Osuala Grzegorz Skorupko Noussair Lazrak Lidia Garrucho E. García ... Michael Rutherford Fred Prior Kaisar Kushibar Oliver Díaz Karim Lekadir LM&MA MedIm 71 23 0 28 Sep 2022
A Visual Analytics System for Improving Attention-based Traffic Forecasting Models Seungmin Jin Hyunwoo Lee Cheonbok Park Hyeshin Chu Yunwon Tae Jaegul Choo Sungahn Ko 49 15 0 08 Aug 2022
Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment Yuyang Gao Tong Sun Liang Zhao Sungsoo Ray Hong HAI 89 38 0 06 Feb 2022
Interactive Analysis of CNN Robustness Stefan Sietzen Mathias Lechner Judy Borowski Ramin Hasani Manuela Waldner AAML 81 10 0 14 Oct 2021
AIive: Interactive Visualization and Sonification of Neural Networks in Virtual Reality Zhuoyue Lyu Jiannan Li Bryan Wang 29 16 0 30 Sep 2021
Shared Interest: Measuring Human-AI Alignment to Identify Recurring Patterns in Model Behavior Angie Boggust Benjamin Hoover Arvindmani Satyanarayan Hendrik Strobelt 73 52 0 20 Jul 2021
Level generation and style enhancement -- deep learning for game development overview P. Migdal Bartlomiej Olechno Bla.zej Podgórski GAN VLM 36 4 0 15 Jul 2021
Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles G. Cantareira R. Mello F. Paulovich AAML 57 9 0 18 Mar 2021
AHMoSe: A Knowledge-Based Visual Support System for Selecting Regression Machine Learning Models Diego Rojo N. Htun Denis Parra Robin De Croon K. Verbert 35 7 0 28 Jan 2021
Time-Series Regeneration with Convolutional Recurrent Generative Adversarial Network for Remaining Useful Life Estimation Xuewen Zhang Yan Qin Chau Yuen Lahiru Jayasinghe Xiang Liu 70 90 0 11 Jan 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 105 3 0 04 Jan 2021
Generative Deep Learning for Virtuosic Classical Music: Generative Adversarial Networks as Renowned Composers Daniel Szelogowski MGen GAN 21 0 0 01 Jan 2021
A Survey on Neural Network Interpretability Yu Zhang Peter Tiño A. Leonardis K. Tang FaML XAI 209 689 0 28 Dec 2020
exploRNN: Understanding Recurrent Neural Networks through Visual Exploration Alex Bauerle Patrick Albus Raphael Störk Tina Seufert Timo Ropinski 16 3 0 09 Dec 2020
GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks Zhihua Jin Yong Wang Qianwen Wang Yao Ming Tengfei Ma Huamin Qu HAI 80 34 0 22 Nov 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 197 80 0 17 Sep 2020
A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes Yuxin Ma Arlen Fan Jingrui He A. R. Nelakurthi Ross Maciejewski 84 25 0 15 Sep 2020
Should We Trust (X)AI? Design Dimensions for Structured Experimental Evaluations F. Sperrle Mennatallah El-Assady G. Guo Duen Horng Chau Alex Endert Daniel A. Keim 69 19 0 14 Sep 2020
A Game-Based Approach for Helping Designers Learn Machine Learning Concepts Chelsea M. Myers Jiachi Xie Jichen Zhu 49 4 0 11 Sep 2020
CNNPruner: Pruning Convolutional Neural Networks with Visual Analytics Guan Li Junpeng Wang Han-Wei Shen Kaixin Chen Guihua Shan Zhonghua Lu AAML 54 47 0 08 Sep 2020
Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks Nilaksh Das Haekyu Park Zijie J. Wang Fred Hohman Robert Firstman Emily Rogers Duen Horng Chau AAML 60 27 0 05 Sep 2020