Crowdsourcing Feature Discovery via Adaptively Chosen Comparisons

Crowdsourcing Feature Discovery via Adaptively Chosen Comparisons

31 March 2015

Kamalika Chaudhuri

Adam Tauman Kalai

Papers citing "Crowdsourcing Feature Discovery via Adaptively Chosen Comparisons"

7 / 7 papers shown

Title
Improved Robust Algorithms for Learning with Discriminative Feature Feedback Sivan Sabato 10 0 0 08 Sep 2022
Human-in-the-loop Machine Learning: A Macro-Micro Perspective Jiangtao Wang Bin Guo Liming Luke Chen 37 8 0 21 Feb 2022
The future of human-AI collaboration: a taxonomy of design knowledge for hybrid intelligence systems Dominik Dellermann A. Calma Nikolaus Lipusch Thorsten Weber Sascha Weigel P. Ebel HAI 27 178 0 07 May 2021
Two Simple Ways to Learn Individual Fairness Metrics from Data Debarghya Mukherjee Mikhail Yurochkin Moulinath Banerjee Yuekai Sun FaML 26 96 0 19 Jun 2020
Neural Naturalist: Generating Fine-Grained Image Comparisons Maxwell Forbes Christine Kaeser-Chen Piyush Sharma Serge J. Belongie VLM 64 55 0 09 Sep 2019
Metric Learning for Individual Fairness Christina Ilvento FaML 11 96 0 01 Jun 2019
On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems Besmira Nushi Ece Kamar Eric Horvitz Donald Kossmann 39 77 0 24 Nov 2016