Understanding Hidden Memories of Recurrent Neural Networks

30 October 2017

Huamin Qu

Papers citing "Understanding Hidden Memories of Recurrent Neural Networks"

43 / 43 papers shown

Title
Interactive Analysis of LLMs using Meaningful Counterfactuals Furui Cheng Vilém Zouhar Robin Shing Moon Chan Daniel Fürst Hendrik Strobelt Mennatallah El-Assady 39 10 0 23 Apr 2024
Towards Better Modeling with Missing Data: A Contrastive Learning-based Visual Analytics Perspective Laixin Xie Ouyang Yang Long-fei Chen Ziming Wu Quan Li 23 0 0 18 Sep 2023
Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Research Hariharan Subramonyam Jessica Hullman VLM HAI 32 8 0 10 Aug 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 26 160 0 22 Dec 2022
Towards Efficient Visual Simplification of Computational Graphs in Deep Neural Networks Rusheng Pan Zhiyong Wang Yating Wei Han Gao Gongchang Ou Caleb Chen Cao Jinglin Xu Tong Xu Wei Chen GNN 18 4 0 21 Dec 2022
Visual Analysis of Neural Architecture Spaces for Summarizing Design Principles Jun Yuan Mengchen Liu Fengyuan Tian Shixia Liu 27 7 0 20 Aug 2022
ShortcutLens: A Visual Analytics Approach for Exploring Shortcuts in Natural Language Understanding Dataset Zhihua Jin Xingbo Wang Furui Cheng Chunhui Sun Qun Liu Huamin Qu 32 9 0 17 Aug 2022
Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models Hendrik Strobelt Albert Webson Victor Sanh Benjamin Hoover Johanna Beyer Hanspeter Pfister Alexander M. Rush VLM 36 136 0 16 Aug 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 20 14 0 08 Aug 2022
A Unified Understanding of Deep NLP Models for Text Classification Zhuguo Li Xiting Wang Weikai Yang Jing Wu Zhengyan Zhang Zhiyuan Liu Maosong Sun Hui Zhang Shixia Liu VLM 33 30 0 19 Jun 2022
Diagnosing Ensemble Few-Shot Classifiers Weikai Yang Xi Ye Xingxing Zhang Lanxi Xiao Jiazhi Xia Zhongyuan Wang Jun Zhu Hanspeter Pfister Shixia Liu 38 16 0 09 Jun 2022
Revisiting the Design Patterns of Composite Visualizations Dazhen Deng Weiwei Cui Xiyu Meng Mengye Xu Yu Liao Haidong Zhang Yingcai Wu 32 15 0 20 Mar 2022
Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment Yuyang Gao Tong Sun Liang Zhao Sungsoo Ray Hong HAI 30 37 0 06 Feb 2022
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 35 12 0 19 Jan 2022
GenNI: Human-AI Collaboration for Data-Backed Text Generation Hendrik Strobelt J. Kinley Robert Krueger Johanna Beyer Hanspeter Pfister Alexander M. Rush 31 23 0 19 Oct 2021
Understanding Spending Behavior: Recurrent Neural Network Explanation and Interpretation Charl Maree C. Omlin AI4TS 26 5 0 24 Sep 2021
Towards Visual Explainable Active Learning for Zero-Shot Classification Shichao Jia Zeyu Li Nuo Chen Jiawan Zhang VLM 30 23 0 15 Aug 2021
Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles G. Cantareira R. Mello F. Paulovich AAML 29 9 0 18 Mar 2021
A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes Yuxin Ma Arlen Fan Jingrui He A. R. Nelakurthi Ross Maciejewski 22 25 0 15 Sep 2020
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 Jun Yuan Changjian Chen Weikai Yang Mengchen Liu Jiazhi Xia Shixia Liu 26 216 0 21 Aug 2020
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 Chen 32 27 0 30 Jul 2020
Diagnosing Concept Drift with Visual Analytics Weikai Yang Zhuguo Li Mengchen Liu Yafeng Lu Kelei Cao Ross Maciejewski Shixia Liu 47 33 0 28 Jul 2020
Survey on Visual Analysis of Event Sequence Data Yi Guo Shunan Guo Zhuochen Jin Smiti Kaul David Gotz Nan Cao AI4TS 29 103 0 25 Jun 2020
How recurrent networks implement contextual processing in sentiment analysis Niru Maheswaranathan David Sussillo 22 22 0 17 Apr 2020
What went wrong and when? Instance-wise Feature Importance for Time-series Models S. Tonekaboni Shalmali Joshi Kieran Campbell David Duvenaud Anna Goldenberg FAtt OOD AI4TS 56 14 0 05 Mar 2020
Analyzing the Noise Robustness of Deep Neural Networks Kelei Cao Mengchen Liu Hang Su Jing Wu Jun Zhu Shixia Liu AAML 65 89 0 26 Jan 2020
Coverage Guided Testing for Recurrent Neural Networks Wei Huang Youcheng Sun Xing-E. Zhao James Sharp Wenjie Ruan Jie Meng Xiaowei Huang AAML 37 47 0 05 Nov 2019
ConfusionFlow: A model-agnostic visualization for temporal analysis of classifier confusion A. Hinterreiter Peter Ruch Holger Stitz Martin Ennemoser J. Bernard Hendrik Strobelt M. Streit 27 43 0 02 Oct 2019
SANVis: Visual Analytics for Understanding Self-Attention Networks Cheonbok Park Inyoup Na Yongjang Jo Sungbok Shin J. Yoo Bum Chul Kwon Jian Zhao Hyungjong Noh Yeonsoo Lee Jaegul Choo HAI 35 38 0 13 Sep 2019
DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning Theo Jaunet Romain Vuillemot Christian Wolf HAI 18 36 0 06 Sep 2019
explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning Thilo Spinner U. Schlegel H. Schäfer Mennatallah El-Assady HAI 20 234 0 29 Jul 2019
Visual Interaction with Deep Learning Models through Collaborative Semantic Inference Sebastian Gehrmann Hendrik Strobelt Robert Krüger Hanspeter Pfister Alexander M. Rush HAI 21 57 0 24 Jul 2019
NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation Subhashis Hazarika Haoyu Li Ko-Chih Wang Han-Wei Shen Ching-Shan Chou 31 20 0 19 Apr 2019
ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning Qianwen Wang Yao Ming Zhihua Jin Qiaomu Shen Dongyu Liu Micah J. Smith K. Veeramachaneni Huamin Qu HAI 19 101 0 13 Feb 2019
Deep Learning for Human Affect Recognition: Insights and New Developments Philipp V. Rouast M. Adam R. Chiong 35 167 0 09 Jan 2019
A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems Sina Mohseni Niloofar Zarei Eric D. Ragan 36 102 0 28 Nov 2018
Evaluating the Readability of Force Directed Graph Layouts: A Deep Learning Approach Hammad Haleem Yuanbo Wang Abishek Puri Sahil Wadhwa Huamin Qu GNN 19 43 0 02 Aug 2018
RuleMatrix: Visualizing and Understanding Classifiers with Rules Yao Ming Huamin Qu E. Bertini FAtt 20 214 0 17 Jul 2018
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records Bum Chul Kwon Min-Je Choi J. Kim Edward Choi Young Bin Kim Soonwook Kwon Jimeng Sun Jaegul Choo 42 251 0 28 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
Visual Analytics for Explainable Deep Learning Jaegul Choo Shixia Liu HAI XAI 19 235 0 07 Apr 2018
A trans-disciplinary review of deep learning research for water resources scientists Chaopeng Shen AI4CE 35 682 0 06 Dec 2017