Evidential Deep Learning to Quantify Classification Uncertainty
Authors: Murat Sensoy, Lance Kaplan, Melih Kandemir | Published: 2018-06-05 | Updated: 2018-10-31
Deep Learning Method
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks
Authors: Jan Svoboda, Jonathan Masci, Federico Monti, Michael M. Bronstein, Leonidas Guibas | Published: 2018-05-31
Two-Stream Neural Networks for Tampered Face Detection
Authors: Peng Zhou, Xintong Han, Vlad I. Morariu, Larry S. Davis | Published: 2018-03-29
Predictive Uncertainty Estimation via Prior Networks
Authors: Andrey Malinin, Mark Gales | Published: 2018-02-28 | Updated: 2018-11-29
Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)
Authors: Been Kim, Martin Wattenberg, Justin Gilmer, Carrie Cai, James Wexler, Fernanda Viegas, Rory Sayres | Published: 2017-11-30 | Updated: 2018-06-07
A Unified Approach to Interpreting Model Predictions
Authors: Scott Lundberg, Su-In Lee | Published: 2017-05-22 | Updated: 2017-11-25
Interpretable Explanations of Black Boxes by Meaningful Perturbation
Authors: Ruth Fong, Andrea Vedaldi | Published: 2017-04-11 | Updated: 2021-12-03
Learning Important Features Through Propagating Activation Differences
Authors: Avanti Shrikumar, Peyton Greenside, Anshul Kundaje | Published: 2017-04-10 | Updated: 2019-10-12