• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 85 matches

• 2023
• 
  Zijie J. Wang, Fred Hohman, Duen Horng Chau:
  WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings. ACL (demo) 2023: 516-523
• 
  Jonathan Blumtritt, Elisa Cugliana, Nils Geißler, Philipp Hegel, Kilian Hensen, Jörg Hörnschemeyer, Christoph Kudella, Karoline Lemke, Harald Lordick, Frederike Neuber, Claes Neuefeind, Julian Schulz, Melanie Elisabeth-H. Seltmann, Martin Sievers, Tessa Gengnagel:
  Offene Editionen - Die Task Area Editionen im NFDI-Konsortium Text+. DHd 2023: 404
• 
  Roman Hornung, Frederik Ludwigs, Jonas Hagenberg, Anne-Laure Boulesteix:
  Prediction approaches for partly missing multi-omics covariate data: A literature review and an empirical comparison study. CoRR abs/2302.03991 (2023)
• 
  Zijie J. Wang, Fred Hohman, Duen Horng Chau:
  WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings. CoRR abs/2306.09328 (2023)
• 
  Felix Stollenwerk, Joey Öhman, Danila Petrelli, Emma Wallerö, Fredrik Olsson, Camilla Bengtsson, Andreas Horndahl, Gabriela Zarzar Gandler:
  Text Annotation Handbook: A Practical Guide for Machine Learning Projects. CoRR abs/2310.11780 (2023)
• 2022
• 
  Lorenzo Freddi, Peter Hornung, Maria Giovanna Mora, Roberto Paroni:
  Stability of Boundary Conditions for the Sadowsky Functional. J. Nonlinear Sci. 32(5): 72 (2022)
• 
  Arian Ranjbar, Sascha Hornauer, Jonas Fredriksson, Stella X. Yu, Ching-Yao Chan:
  Safety Monitoring of Neural Networks Using Unsupervised Feature Learning and Novelty Estimation. IEEE Trans. Intell. Veh. 7(3): 711-721 (2022)
• 
  Haekyu Park, Nilaksh Das, Rahul Duggal, Austin P. Wright, Omar Shaikh, Fred Hohman, Duen Horng (Polo) Chau:
  NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks. IEEE Trans. Vis. Comput. Graph. 28(1): 813-823 (2022)
• 2021
• 
  Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng (Polo) Chau:
  CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization. IEEE Trans. Vis. Comput. Graph. 27(2): 1396-1406 (2021)
• 
  Haekyu Park, Nilaksh Das, Rahul Duggal, Austin P. Wright, Omar Shaikh, Fred Hohman, Duen Horng Chau:
  NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks. CoRR abs/2108.12931 (2021)
• 2020
• 
  Fred Hohman, Haekyu Park, Caleb Robinson, Duen Horng (Polo) Chau:
  Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations. IEEE Trans. Vis. Comput. Graph. 26(1): 1096-1106 (2020)
• 
  Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng Chau:
  Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning. CHI Extended Abstracts 2020: 1-7
• 
  Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau:
  CNN 101: Interactive Visual Learning for Convolutional Neural Networks. CHI Extended Abstracts 2020: 1-7
• 
  Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng (Polo) Chau:
  Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks. IEEE VIS (Short Papers) 2020: 271-275
• 
  Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau:
  CNN 101: Interactive Visual Learning for Convolutional Neural Networks. CoRR abs/2001.02004 (2020)
• 
  Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng Chau:
  Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning. CoRR abs/2001.07769 (2020)
• 
  Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau:
  CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization. CoRR abs/2004.15004 (2020)
• 
  Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng Chau:
  Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks. CoRR abs/2009.02608 (2020)
• 2019
• 
  Fred Hohman, Minsuk Kahng, Robert S. Pienta, Duen Horng Chau:
  Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers. IEEE Trans. Vis. Comput. Graph. 25(8): 2674-2693 (2019)
• 
  Ángel Alexander Cabrera, Will Epperson, Fred Hohman, Minsuk Kahng, Jamie Morgenstern, Duen Horng Chau:
  FAIRVIS: Visual Analytics for Discovering Intersectional Bias in Machine Learning. VAST 2019: 46-56
• 
  James Abello, Fred Hohman, Varun Bezzam, Duen Horng Chau:
  Atlas: local graph exploration in a global context. IUI 2019: 165-176
• 
  Xiangyun Lei, Fred Hohman, Duen Horng (Polo) Chau, Andrew J. Medford:
  ElectroLens: Understanding Atomistic Simulations through Spatially-Resolved Visualization of High-Dimensional Features. IEEE VIS (Short Papers) 2019: 196-200
• 
  Fred Hohman, Haekyu Park, Caleb Robinson, Duen Horng Chau:
  Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations. CoRR abs/1904.02323 (2019)
• 
  Ángel Alexander Cabrera, Will Epperson, Fred Hohman, Minsuk Kahng, Jamie Morgenstern, Duen Horng Chau:
  FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning. CoRR abs/1904.05419 (2019)
• 
  Cameron Browne, Dennis J. N. J. Soemers, Éric Piette, Matthew Stephenson, Michael Conrad, Walter Crist, Thierry Depaulis, Eddie Duggan, Fred Horn, Steven Kelk, Simon M. Lucas, João Pedro Neto, David Parlett, Abdallah Saffidine, Ulrich Schädler, Jorge Nuno Silva, Alex de Voogt, Mark H. M. Winands:
  Foundations of Digital Archæoludology. CoRR abs/1905.13516 (2019)
• 
  Haekyu Park, Fred Hohman, Duen Horng Chau:
  NeuralDivergence: Exploring and Understanding Neural Networks by Comparing Activation Distributions. CoRR abs/1906.00332 (2019)
• 
  Xiangyun Lei, Fred Hohman, Duen Horng Chau, Andrew J. Medford:
  ElectroLens: Understanding Atomistic Simulations Through Spatially-resolved Visualization of High-dimensional Features. CoRR abs/1908.08381 (2019)
• 2018
• 
  Robert S. Pienta, Fred Hohman, Alex Endert, Acar Tamersoy, Kevin A. Roundy, Christopher S. Gates, Shamkant B. Navathe, Duen Horng Chau:
  VIGOR: Interactive Visual Exploration of Graph Query Results. IEEE Trans. Vis. Comput. Graph. 24(1): 215-225 (2018)
• 
  Alok Tripathy, Fred Hohman, Duen Horng Chau, Oded Green:
  Scalable K-Core Decomposition for Static Graphs Using a Dynamic Graph Data Structure. IEEE BigData 2018: 1134-1141
• 
  Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Siwei Li, Li Chen, Michael E. Kounavis, Duen Horng Chau:
  SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression. KDD 2018: 196-204

skipping 55 more matches