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Slice Tuner: A Selective Data Acquisition Framework for Accurate and
  Fair Machine Learning Models
v1v2v3 (latest)

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

10 March 2020
Ki Hyun Tae
Steven Euijong Whang
ArXiv (abs)PDFHTML

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

12 / 12 papers shown
Data Acquisition for Improving Model Fairness using Reinforcement
  Learning
Data Acquisition for Improving Model Fairness using Reinforcement Learning
Jahid Hasan
Romila Pradhan
227
0
0
04 Dec 2024
The Data Addition Dilemma
The Data Addition DilemmaMachine Learning in Health Care (MLHC), 2024
Judy Hanwen Shen
Inioluwa Deborah Raji
Irene Y. Chen
366
18
0
08 Aug 2024
Fairness Without Harm: An Influence-Guided Active Sampling Approach
Fairness Without Harm: An Influence-Guided Active Sampling Approach
Jinlong Pang
Jialu Wang
Zhaowei Zhu
Yuanshun Yao
Chen Qian
Yang Liu
TDI
353
10
0
20 Feb 2024
Falcon: Fair Active Learning using Multi-armed Bandits
Falcon: Fair Active Learning using Multi-armed BanditsProceedings of the VLDB Endowment (PVLDB), 2024
Ki Hyun Tae
Hantian Zhang
Jaeyoung Park
Kexin Rong
Steven Euijong Whang
FaML
412
6
0
23 Jan 2024
VLSlice: Interactive Vision-and-Language Slice Discovery
VLSlice: Interactive Vision-and-Language Slice DiscoveryIEEE International Conference on Computer Vision (ICCV), 2023
Eric Slyman
Minsuk Kahng
Stefan Lee
VLM
208
10
0
13 Sep 2023
Non-Invasive Fairness in Learning through the Lens of Data Drift
Non-Invasive Fairness in Learning through the Lens of Data DriftIEEE International Conference on Data Engineering (ICDE), 2023
Ke Yang
A. Meliou
400
1
0
30 Mar 2023
Pushing the Accuracy-Group Robustness Frontier with Introspective
  Self-play
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play
J. Liu
Krishnamurthy Dvijotham
Jihyeon Janel Lee
Quan Yuan
Martin Strobel
Balaji Lakshminarayanan
Deepak Ramachandran
259
5
0
11 Feb 2023
Achieving Representative Data via Convex Hull Feasibility Sampling
  Algorithms
Achieving Representative Data via Convex Hull Feasibility Sampling Algorithms
Laura Niss
Yuekai Sun
Ambuj Tewari
FaML
262
5
0
13 Apr 2022
Representation Bias in Data: A Survey on Identification and Resolution
  Techniques
Representation Bias in Data: A Survey on Identification and Resolution TechniquesACM Computing Surveys (ACM CSUR), 2022
N. Shahbazi
Yin Lin
Abolfazl Asudeh
H. V. Jagadish
354
125
0
22 Mar 2022
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
544
499
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
402
83
0
01 Jul 2021
FairBatch: Batch Selection for Model Fairness
FairBatch: Batch Selection for Model FairnessInternational Conference on Learning Representations (ICLR), 2020
Yuji Roh
Kangwook Lee
Steven Euijong Whang
Changho Suh
VLM
434
155
0
03 Dec 2020
1
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