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Interpretable Active Learning
v1v2 (latest)

Interpretable Active Learning

31 July 2017
R. L. Phillips
K. H. Chang
Sorelle A. Friedler
    FAtt
ArXiv (abs)PDFHTML

Papers citing "Interpretable Active Learning"

9 / 9 papers shown
Title
Opportunities for Machine Learning to Accelerate Halide Perovskite
  Commercialization and Scale-Up
Opportunities for Machine Learning to Accelerate Halide Perovskite Commercialization and Scale-Up
Rishi E. Kumar
A. Tiihonen
Shijing Sun
D. Fenning
Zhe Liu
Tonio Buonassisi
35
11
0
08 Oct 2021
A Turing Test for Transparency
A Turing Test for Transparency
F. Biessmann
Viktor Treu
34
7
0
21 Jun 2021
A Survey on the Explainability of Supervised Machine Learning
A Survey on the Explainability of Supervised Machine Learning
Nadia Burkart
Marco F. Huber
FaMLXAI
77
780
0
16 Nov 2020
Examining the Impact of Algorithm Awareness on Wikidata's Recommender
  System Recoin
Examining the Impact of Algorithm Awareness on Wikidata's Recommender System Recoin
J. Benjamin
Claudia Muller-Birn
Simon Razniewski
19
2
0
18 Sep 2020
Using Error Decay Prediction to Overcome Practical Issues of Deep Active
  Learning for Named Entity Recognition
Using Error Decay Prediction to Overcome Practical Issues of Deep Active Learning for Named Entity Recognition
Haw-Shiuan Chang
Shankar Vembu
Sunil Mohan
Rheeya Uppaal
Andrew McCallum
31
3
0
17 Nov 2019
Evaluating Explanation Without Ground Truth in Interpretable Machine
  Learning
Evaluating Explanation Without Ground Truth in Interpretable Machine Learning
Fan Yang
Mengnan Du
Helen Zhou
XAIELM
67
67
0
16 Jul 2019
Active Fairness in Algorithmic Decision Making
Active Fairness in Algorithmic Decision Making
Alejandro Noriega-Campero
Michiel A. Bakker
Bernardo Garcia-Bulle
Alex Pentland
FaML
82
85
0
28 Sep 2018
An Overview and a Benchmark of Active Learning for Outlier Detection
  with One-Class Classifiers
An Overview and a Benchmark of Active Learning for Outlier Detection with One-Class Classifiers
Holger Trittenbach
Adrian Englhardt
Klemens Böhm
18
3
0
14 Aug 2018
MAGIX: Model Agnostic Globally Interpretable Explanations
MAGIX: Model Agnostic Globally Interpretable Explanations
Nikaash Puri
Piyush B. Gupta
Pratiksha Agarwal
Sukriti Verma
Balaji Krishnamurthy
FAtt
111
41
0
22 Jun 2017
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