Where Classification Fails, Interpretation Rises
Authors: Chanh Nguyen, Georgi Georgiev, Yujie Ji, Ting Wang | Published: 2017-12-02
Together or Alone: The Price of Privacy in Collaborative Learning
Authors: Balazs Pejo, Qiang Tang, Gergely Biczok | Published: 2017-12-01 | Updated: 2018-08-24
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
AttGAN: Facial Attribute Editing by Only Changing What You Want
Authors: Zhenliang He, Wangmeng Zuo, Meina Kan, Shiguang Shan, Xilin Chen | Published: 2017-11-29 | Updated: 2018-07-25
No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World
Authors: Shreya Shankar, Yoni Halpern, Eric Breck, James Atwood, Jimbo Wilson, D. Sculley | Published: 2017-11-22
Adversarial Phenomenon in the Eyes of Bayesian Deep Learning
Authors: Ambrish Rawat, Martin Wistuba, Maria-Irina Nicolae | Published: 2017-11-22
Generative Adversarial Positive-Unlabelled Learning
Authors: Ming Hou, Brahim Chaib-draa, Chao Li, Qibin Zhao | Published: 2017-11-21 | Updated: 2018-04-04
AndroVault: Constructing Knowledge Graph from Millions of Android Apps for Automated Analysis
Authors: Guozhu Meng, Yinxing Xue, Jing Kai Siow, Ting Su, Annamalai Narayanan, Yang Liu | Published: 2017-11-20 | Updated: 2017-11-21
Evaluating Robustness of Neural Networks with Mixed Integer Programming
Authors: Vincent Tjeng, Kai Xiao, Russ Tedrake | Published: 2017-11-20 | Updated: 2019-02-18
Model Extraction Warning in MLaaS Paradigm
Authors: Manish Kesarwani, Bhaskar Mukhoty, Vijay Arya, Sameep Mehta | Published: 2017-11-20