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Slice Tuner: A Selective Data Acquisition Framework for Accurate and
  Fair Machine Learning Models

Slice Tuner: A Selective Data Acquisition Framework for Accurate and Fair Machine Learning Models

10 March 2020
Ki Hyun Tae
Steven Euijong Whang
ArXivPDFHTML

Papers citing "Slice Tuner: A Selective Data Acquisition Framework for Accurate and Fair Machine Learning Models"

3 / 3 papers shown
Title
Data Collection and Quality Challenges in Deep Learning: A Data-Centric
  AI Perspective
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective
Steven Euijong Whang
Yuji Roh
Hwanjun Song
Jae-Gil Lee
27
326
0
13 Dec 2021
Mandoline: Model Evaluation under Distribution Shift
Mandoline: Model Evaluation under Distribution Shift
Mayee F. Chen
Karan Goel
N. Sohoni
Fait Poms
Kayvon Fatahalian
Christopher Ré
28
69
0
01 Jul 2021
FairBatch: Batch Selection for Model Fairness
FairBatch: Batch Selection for Model Fairness
Yuji Roh
Kangwook Lee
Steven Euijong Whang
Changho Suh
VLM
14
128
0
03 Dec 2020
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