A Visual Interaction Framework for Dimensionality Reduction Based Data Exploration

28 November 2018

Papers citing "A Visual Interaction Framework for Dimensionality Reduction Based Data Exploration"

21 / 21 papers shown

Title
Clustrophile: A Tool for Visual Clustering Analysis Çağatay Demiralp 41 31 0 05 Oct 2017
Exploring Dimensionality Reductions with Forward and Backward Projections M. Cavallo Çağatay Demiralp 35 5 0 13 Jul 2017
Fader Networks: Manipulating Images by Sliding Attributes Guillaume Lample Neil Zeghidour Nicolas Usunier Antoine Bordes Ludovic Denoyer MarcÁurelio Ranzato DRL GAN 96 545 0 01 Jun 2017
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 170 3,865 0 10 Apr 2017
Visualizing Deep Neural Network Decisions: Prediction Difference Analysis L. Zintgraf Taco S. Cohen T. Adel Max Welling FAtt 129 707 0 15 Feb 2017
Invertible Conditional GANs for image editing Guim Perarnau Joost van de Weijer Bogdan Raducanu J. Álvarez GAN 87 648 0 19 Nov 2016
Rationalizing Neural Predictions Tao Lei Regina Barzilay Tommi Jaakkola 108 811 0 13 Jun 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel GAN 157 4,232 0 12 Jun 2016
Not Just a Black Box: Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Shcherbina A. Kundaje FAtt 80 786 0 05 May 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 891 16,891 0 16 Feb 2016
Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks Anh Totti Nguyen J. Yosinski Jeff Clune 54 329 0 11 Feb 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 223 9,298 0 14 Dec 2015
Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model Benjamin Letham Cynthia Rudin Tyler H. McCormick D. Madigan FAtt 60 743 0 05 Nov 2015
Understanding Neural Networks Through Deep Visualization J. Yosinski Jeff Clune Anh Totti Nguyen Thomas J. Fuchs Hod Lipson FAtt AI4CE 122 1,871 0 22 Jun 2015
Visualizing and Understanding Neural Models in NLP Jiwei Li Xinlei Chen Eduard H. Hovy Dan Jurafsky MILM FAtt 73 707 0 02 Jun 2015
Understanding Deep Image Representations by Inverting Them Aravindh Mahendran Andrea Vedaldi FAtt 107 1,963 0 26 Nov 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 412 16,947 0 20 Dec 2013
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 279 7,279 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 464 15,861 0 12 Nov 2013
Inverting Nonlinear Dimensionality Reduction with Scale-Free Radial Basis Function Interpolation Nathan D. Monnig B. Fornberg François G. Meyer 45 23 0 01 May 2013
Building high-level features using large scale unsupervised learning Quoc V. Le MarcÁurelio Ranzato R. Monga M. Devin Kai Chen G. Corrado J. Dean A. Ng SSL OffRL CVBM 114 2,271 0 29 Dec 2011