JPWO2020208444A5 - - Google Patents
Download PDFInfo
- Publication number
- 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
- Authority
- JP
- Japan
- Prior art keywords
- computer
- mlm
- fairness
- implemented method
- initial
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 claims 10
- 230000006870 function Effects 0.000 claims 4
- 230000004913 activation Effects 0.000 claims 2
- 238000004590 computer program Methods 0.000 claims 2
- 238000010801 machine learning Methods 0.000 claims 2
- 230000002787 reinforcement Effects 0.000 claims 2
- 238000013528 artificial neural network Methods 0.000 claims 1
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 (3)
| Publication Number | Publication Date |
|---|---|
| JP2022527536A JP2022527536A (ja) | 2022-06-02 |
| JP2022527536A5 JP2022527536A5 (https=) | 2022-08-18 |
| JPWO2020208444A5 true JPWO2020208444A5 (https=) | 2022-08-18 |
Family
ID=72663093
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2021558964A Pending JP2022527536A (ja) | 2019-04-08 | 2020-03-18 | 強化学習を通じた公平性の改善 |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US20200320428A1 (https=) |
| JP (1) | JP2022527536A (https=) |
| CN (1) | CN113692594A (https=) |
| DE (1) | DE112020000537T5 (https=) |
| GB (1) | GB2597406A (https=) |
| WO (1) | WO2020208444A1 (https=) |
Families Citing this family (28)
| 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 |
| US20210201400A1 (en) * | 2019-12-27 | 2021-07-01 | Lendingclub Corporation | Intelligent servicing |
| 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 |
| US12321826B2 (en) | 2020-05-06 | 2025-06-03 | Discover Financial Services | System and method for utilizing grouped partial dependence plots and game-theoretic concepts and their extensions 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 |
| US12469075B2 (en) | 2020-06-03 | 2025-11-11 | Capital One Financial Corporation | Computing system and method for creating a data science model having reduced bias |
| 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 |
| US12554805B2 (en) | 2020-11-27 | 2026-02-17 | Amazon Technologies, Inc. | Generating views for bias metrics and feature attribution captured in machine learning pipelines |
| US12547926B2 (en) | 2020-11-27 | 2026-02-10 | Amazon Technologies, Inc. | Staged bias measurements in machine learning pipelines |
| 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 |
| US12547673B2 (en) | 2021-04-12 | 2026-02-10 | International Business Machines Corporation | Calculate fairness of machine learning model |
| US20220391683A1 (en) * | 2021-06-07 | 2022-12-08 | International Business Machines Corporation | Bias reduction during artifical intelligence module training |
| EP4106231A1 (en) * | 2021-06-14 | 2022-12-21 | Google LLC | Selection of physics-specific model for determination of characteristics of radio frequency signal propagation |
| US12443676B2 (en) | 2021-10-13 | 2025-10-14 | International Business Machines Corporation | Controlling a bias of a machine learning module background |
| US20230222378A1 (en) * | 2022-01-07 | 2023-07-13 | Vittorio ROMANIELLO | Method and system for evaluating fairness of machine learning model |
| US20230351172A1 (en) * | 2022-04-29 | 2023-11-02 | Intuit Inc. | Supervised machine learning method for matching unsupervised data |
| US12561222B2 (en) * | 2022-06-03 | 2026-02-24 | Adobe Inc. | Reducing bias in machine learning models utilizing a fairness deviation constraint and decision matrix |
| CN115048425B (zh) * | 2022-06-09 | 2025-04-11 | 深圳计算科学研究院 | 一种基于强化学习的数据筛选方法及其装置 |
| US20240020515A1 (en) * | 2022-07-06 | 2024-01-18 | University Of Southern California | Systems and methods for a neural network database framework for answering database query types |
| 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 |
| US12475132B2 (en) | 2023-02-20 | 2025-11-18 | Capital One Financial Corporation | Computing system and method for applying monte carlo estimation to determine the contribution of dependent input variable groups on the output of a data science model |
Family Cites Families (10)
| 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 |
| US20180341851A1 (en) * | 2017-05-24 | 2018-11-29 | International Business Machines Corporation | Tuning of a machine learning system |
| US11176487B2 (en) * | 2017-09-28 | 2021-11-16 | Oracle International Corporation | Gradient-based auto-tuning for machine learning and deep learning models |
| CN108062587A (zh) * | 2017-12-15 | 2018-05-22 | 清华大学 | 一种无监督机器学习的超参数自动优化方法及系统 |
| 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 |
-
2019
- 2019-04-08 US US16/377,727 patent/US20200320428A1/en not_active Abandoned
-
2020
- 2020-03-18 WO PCT/IB2020/052465 patent/WO2020208444A1/en not_active Ceased
- 2020-03-18 CN CN202080027018.4A patent/CN113692594A/zh active Pending
- 2020-03-18 DE DE112020000537.2T patent/DE112020000537T5/de not_active Withdrawn
- 2020-03-18 JP JP2021558964A patent/JP2022527536A/ja active Pending
- 2020-03-18 GB GB2115858.9A patent/GB2597406A/en not_active Withdrawn
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JPWO2020208444A5 (https=) | ||
| JP2022527536A5 (https=) | ||
| GB2597406A (en) | Fairness improvement through reinforcement learning | |
| US11544630B2 (en) | Automatic feature subset selection using feature ranking and scalable automatic search | |
| US11615265B2 (en) | Automatic feature subset selection based on meta-learning | |
| CN114722269B (zh) | 一种基于图神经网络的物品推荐方法、装置及存储介质 | |
| US11481637B2 (en) | Configuring computational elements for performing a training operation for a generative adversarial network | |
| WO2020214428A1 (en) | Using hyperparameter predictors to improve accuracy of automatic machine learning model selection | |
| WO2020242767A1 (en) | Using metamodeling for fast and accurate hyperparameter optimization of machine learning and deep learning models | |
| US12299551B2 (en) | Account prediction using machine learning | |
| US20210374544A1 (en) | Leveraging lagging gradients in machine-learning model training | |
| WO2020222994A1 (en) | Adaptive sampling for imbalance mitigation and dataset size reduction in machine learning | |
| WO2022031561A1 (en) | Memory usage prediction for machine learning and deep learning models | |
| JP2023071638A5 (https=) | ||
| US12524650B2 (en) | Efficient cross-platform serving of deep neural networks for low latency applications | |
| KR102854526B1 (ko) | 자원이 제약된 모바일 기기에서 동적 데이터 변환에 적응하기 위한 전문화된 경량 신경망 교체 방법 및 장치 | |
| US11921756B2 (en) | Automated database operation classification using artificial intelligence techniques | |
| US11562248B2 (en) | Data sparsity monitoring during neural network training | |
| JP2024529717A (ja) | ニューラルネットワークのバンクバランス型疎活性化および結合活性化重み疎トレーニングのためのシステムおよび方法 | |
| KR102744559B1 (ko) | 상품명 분류 방법 | |
| US12299553B2 (en) | Expert-optimal correlation: contamination factor identification for unsupervised anomaly detection | |
| WO2025106937A1 (en) | Dynamic mode decomposition for evaluating early stop in training of machine learning models | |
| CN113705662B (zh) | 一种协同训练方法、装置及计算机可读存储介质 | |
| CN115422360A (zh) | 知识聚类方法、装置、计算机设备和存储介质 | |
| CN117540260A (zh) | 构建图神经网络的方法和装置以及图分类方法和装置 |