JPWO2020208444A5 - - Google Patents

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JPWO2020208444A5
JPWO2020208444A5 JP2021558964A JP2021558964A JPWO2020208444A5 JP WO2020208444 A5 JPWO2020208444 A5 JP WO2020208444A5 JP 2021558964 A JP2021558964 A JP 2021558964A JP 2021558964 A JP2021558964 A JP 2021558964A JP WO2020208444 A5 JPWO2020208444 A5 JP WO2020208444A5
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computer
mlm
fairness
implemented method
initial
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JP2021558964A
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Japanese (ja)
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JP2022527536A (ja
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Priority claimed from US16/377,727 external-priority patent/US20200320428A1/en
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Publication of JPWO2020208444A5 publication Critical patent/JPWO2020208444A5/ja
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JP2021558964A 2019-04-08 2020-03-18 強化学習を通じた公平性の改善 Pending JP2022527536A (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US16/377,727 US20200320428A1 (en) 2019-04-08 2019-04-08 Fairness improvement through reinforcement learning
US16/377,727 2019-04-08
PCT/IB2020/052465 WO2020208444A1 (en) 2019-04-08 2020-03-18 Fairness improvement through reinforcement learning

Publications (2)

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JP2022527536A JP2022527536A (ja) 2022-06-02
JPWO2020208444A5 true JPWO2020208444A5 (ko) 2022-08-18

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JP2021558964A Pending JP2022527536A (ja) 2019-04-08 2020-03-18 強化学習を通じた公平性の改善

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US (1) US20200320428A1 (ko)
JP (1) JP2022527536A (ko)
CN (1) CN113692594A (ko)
DE (1) DE112020000537T5 (ko)
GB (1) GB2597406A (ko)
WO (1) WO2020208444A1 (ko)

Families Citing this family (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11984199B2 (en) * 2019-08-02 2024-05-14 Kpn Innovations, Llc Methods and systems for generating compatible substance instruction sets using artificial intelligence
US11636386B2 (en) * 2019-11-21 2023-04-25 International Business Machines Corporation Determining data representative of bias within a model
US11556826B2 (en) * 2020-03-20 2023-01-17 Adobe Inc. Generating hyper-parameters for machine learning models using modified Bayesian optimization based on accuracy and training efficiency
US12050975B2 (en) 2020-05-06 2024-07-30 Discover Financial Services System and method for utilizing grouped partial dependence plots and shapley additive explanations in the generation of adverse action reason codes
US11551178B2 (en) * 2020-05-14 2023-01-10 Wells Fargo Bank, N.A. Apparatuses and methods for regulation offending model prevention
US12002258B2 (en) * 2020-06-03 2024-06-04 Discover Financial Services System and method for mitigating bias in classification scores generated by machine learning models
CN112163677B (zh) * 2020-10-14 2023-09-19 杭州海康威视数字技术股份有限公司 应用机器学习模型的方法、装置及设备
CN112257848B (zh) * 2020-10-22 2024-04-30 北京灵汐科技有限公司 确定逻辑核布局的方法、模型训练方法、电子设备、介质
WO2022115402A1 (en) * 2020-11-27 2022-06-02 Amazon Technologies, Inc. Staged bias measurements in machine learning pipelines
US12014287B2 (en) * 2020-12-04 2024-06-18 International Business Machines Corporation Batch scoring model fairness
CN112416602B (zh) * 2020-12-10 2022-09-16 清华大学 一种分布式数据流资源弹性伸缩增强插件及增强方法
CN112905465B (zh) * 2021-02-09 2022-07-22 中国科学院软件研究所 一种基于深度强化学习的机器学习模型黑盒公平性测试方法和系统
US20220391683A1 (en) * 2021-06-07 2022-12-08 International Business Machines Corporation Bias reduction during artifical intelligence module training
US11888544B2 (en) * 2021-06-14 2024-01-30 Google Llc Selection of physics-specific model for determination of characteristics of radio frequency signal propagation
US20230351172A1 (en) * 2022-04-29 2023-11-02 Intuit Inc. Supervised machine learning method for matching unsupervised data
CN118175048A (zh) * 2022-12-09 2024-06-11 维沃移动通信有限公司 模型监督触发方法、装置、ue、网络侧设备、可读存储介质及通信系统

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009237923A (ja) * 2008-03-27 2009-10-15 Nec Corp 学習方法およびシステム
US9008840B1 (en) 2013-04-19 2015-04-14 Brain Corporation Apparatus and methods for reinforcement-guided supervised learning
US20180082185A1 (en) * 2015-03-23 2018-03-22 Nec Corporation Predictive model updating system, predictive model updating method, and predictive model updating program
US10839302B2 (en) 2015-11-24 2020-11-17 The Research Foundation For The State University Of New York Approximate value iteration with complex returns by bounding
US11144616B2 (en) * 2017-02-22 2021-10-12 Cisco Technology, Inc. Training distributed machine learning with selective data transfers
JP6917004B2 (ja) * 2017-04-20 2021-08-11 オムロン株式会社 評価装置、評価方法及びそのプログラム
US11176487B2 (en) * 2017-09-28 2021-11-16 Oracle International Corporation Gradient-based auto-tuning for machine learning and deep learning models
CN109242105B (zh) * 2018-08-17 2024-03-15 第四范式(北京)技术有限公司 代码优化方法、装置、设备及介质

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