JP2020512639A5 - - Google Patents
Download PDFInfo
- Publication number
- JP2020512639A5 JP2020512639A5 JP2019552038A JP2019552038A JP2020512639A5 JP 2020512639 A5 JP2020512639 A5 JP 2020512639A5 JP 2019552038 A JP2019552038 A JP 2019552038A JP 2019552038 A JP2019552038 A JP 2019552038A JP 2020512639 A5 JP2020512639 A5 JP 2020512639A5
- Authority
- JP
- Japan
- Prior art keywords
- sequence
- embedding
- embeddings
- operations
- machine learning
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 claims 25
- 238000013528 artificial neural network Methods 0.000 claims 16
- 238000010801 machine learning Methods 0.000 claims 16
- 230000000306 recurrent effect Effects 0.000 claims 15
- 230000002787 reinforcement Effects 0.000 claims 4
- 238000004891 communication Methods 0.000 claims 1
- 230000008878 coupling Effects 0.000 claims 1
- 238000010168 coupling process Methods 0.000 claims 1
- 238000005859 coupling reaction Methods 0.000 claims 1
- 238000005070 sampling Methods 0.000 claims 1
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201762476618P | 2017-03-24 | 2017-03-24 | |
| US62/476,618 | 2017-03-24 | ||
| PCT/US2018/024155 WO2018175972A1 (en) | 2017-03-24 | 2018-03-23 | Device placement optimization with reinforcement learning |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2020512639A JP2020512639A (ja) | 2020-04-23 |
| JP2020512639A5 true JP2020512639A5 (enExample) | 2020-07-27 |
| JP6790286B2 JP6790286B2 (ja) | 2020-11-25 |
Family
ID=61913686
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2019552038A Active JP6790286B2 (ja) | 2017-03-24 | 2018-03-23 | 強化学習を用いたデバイス配置最適化 |
Country Status (6)
| Country | Link |
|---|---|
| US (3) | US10692003B2 (enExample) |
| EP (2) | EP3559868B1 (enExample) |
| JP (1) | JP6790286B2 (enExample) |
| KR (1) | KR102208989B1 (enExample) |
| CN (2) | CN110268422B (enExample) |
| WO (1) | WO2018175972A1 (enExample) |
Families Citing this family (29)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10114857B1 (en) * | 2017-11-13 | 2018-10-30 | Lendingclub Corporation | Techniques for performing multi-system computer operations |
| US11354301B2 (en) | 2017-11-13 | 2022-06-07 | LendingClub Bank, National Association | Multi-system operation audit log |
| US10699043B2 (en) | 2018-12-04 | 2020-06-30 | Google Llc | Generating integrated circuit floorplans using neural networks |
| JP7050023B2 (ja) * | 2019-03-22 | 2022-04-07 | Kddi株式会社 | ネットワーク障害復旧システム、コンピュータプログラム及びネットワーク障害復旧方法 |
| KR102371927B1 (ko) * | 2019-10-17 | 2022-03-11 | (주)유밥 | 학습 콘텐츠 추천 방법 및 장치 |
| US20210192314A1 (en) * | 2019-12-18 | 2021-06-24 | Nvidia Corporation | Api for recurrent neural networks |
| KR102272501B1 (ko) | 2020-04-24 | 2021-07-01 | 연세대학교 산학협력단 | 분산 강화 학습 장치 및 방법 |
| US11288097B2 (en) | 2020-06-12 | 2022-03-29 | Disney Enterprises, Inc. | Automated hardware resource optimization |
| CN111753973B (zh) * | 2020-06-22 | 2024-11-26 | 深圳鲲云信息科技有限公司 | 一种神经网络芯片的优化方法、系统、设备和存储介质 |
| US12205007B2 (en) * | 2020-06-26 | 2025-01-21 | Intel Corporation | Methods, systems, articles of manufacture, and apparatus to optimize layers of a machine learning model for a target hardware platform |
| US20220083824A1 (en) * | 2020-09-11 | 2022-03-17 | Actapio, Inc. | Execution control apparatus, execution control method, and a non-transitory computer-readable storage medium |
| KR20220045800A (ko) * | 2020-10-06 | 2022-04-13 | 삼성전자주식회사 | 인공지능 모델을 분산 처리하는 시스템 및 그 동작 방법 |
| KR102257028B1 (ko) * | 2020-10-06 | 2021-05-27 | 주식회사 딥이티 | 컴퓨팅 플랫폼 기반의 적응형 딥러닝 작업 할당 장치 및 방법 |
| KR20220064665A (ko) | 2020-11-12 | 2022-05-19 | 삼성전자주식회사 | 인공지능 모델을 분산 처리하는 전자 장치 및 그 동작 방법 |
| KR102799775B1 (ko) * | 2020-12-11 | 2025-04-25 | 한국과학기술원 | 다중 분산 데이터베이스 환경에서 이종 데이터세트의 임베딩 벡터를 이용한 딥 러닝 학습 |
| JP7703390B2 (ja) * | 2021-07-30 | 2025-07-07 | 株式会社Ｓｃｒｅｅｎホールディングス | スケジュール作成方法、スケジュール作成装置、基板処理装置、基板処理システム、記録媒体、及びスケジュール作成プログラム |
| KR102573644B1 (ko) * | 2021-08-24 | 2023-09-01 | 주식회사 에너자이 | 실행 엔진 최적화 방법, 실행 엔진 최적화 장치, 및 실행 엔진 최적화 시스템 |
| US11704891B1 (en) | 2021-12-29 | 2023-07-18 | Insight Direct Usa, Inc. | Dynamically configured extraction, preprocessing, and publishing of a region of interest that is a subset of streaming video data |
| US11509836B1 (en) | 2021-12-29 | 2022-11-22 | Insight Direct Usa, Inc. | Dynamically configured processing of a region of interest dependent upon published video data selected by a runtime configuration file |
| WO2023163453A1 (ko) * | 2022-02-23 | 2023-08-31 | 주식회사 에너자이 | 임베디드 장치에서 실행될 신경망 모델 최적화 방법, 신경망 모델 최적화 장치, 및 신경망 모델 최적화 시스템 |
| WO2023243896A1 (ko) * | 2022-06-17 | 2023-12-21 | 삼성전자 주식회사 | 인공신경망의 추론 분산 비율 결정 전자 장치 및 그 동작 방법 |
| US11778167B1 (en) | 2022-07-26 | 2023-10-03 | Insight Direct Usa, Inc. | Method and system for preprocessing optimization of streaming video data |
| WO2024053910A1 (ko) * | 2022-09-08 | 2024-03-14 | 삼성전자주식회사 | 기계학습 모델에 적합한 가속기를 선택하는 장치 및 방법 |
| KR102603130B1 (ko) | 2022-12-27 | 2023-11-17 | 주식회사 애자일소다 | 강화학습 기반의 면적 및 매크로 배치 최적화를 위한 설계 시스템 및 방법 |
| KR102634706B1 (ko) | 2023-05-31 | 2024-02-13 | 주식회사 애자일소다 | 데드 스페이스의 최소화를 위한 집적회로 설계 장치 및 방법 |
| KR102645072B1 (ko) | 2023-05-31 | 2024-03-08 | 주식회사 애자일소다 | 매크로의 핀 방향 최적화를 위한 후처리 장치 및 방법 |
| CN117058491B (zh) * | 2023-10-12 | 2024-04-02 | 深圳大学 | 基于递归神经网络的结构化网格布局生成方法及设备 |
| KR102713624B1 (ko) | 2023-12-20 | 2024-10-08 | 주식회사 애자일소다 | 비사각형상의 분해 및 처리를 이용한 배치 최적화 장치 및 방법 |
| CN118798471A (zh) * | 2024-07-01 | 2024-10-18 | 西安科技大学 | 基于强化学习的煤矿综采工作面感知区域选择方法及系统 |
Family Cites Families (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH05108595A (ja) * | 1991-10-17 | 1993-04-30 | Hitachi Ltd | ニユーラルネツトワークの分散学習装置 |
| KR100676863B1 (ko) | 2004-08-31 | 2007-02-02 | 주식회사 코난테크놀로지 | 음악 검색 서비스 제공 시스템 및 방법 |
| US7870556B2 (en) * | 2006-05-16 | 2011-01-11 | Ab Initio Technology Llc | Managing computing resources in graph-based computations |
| KR20100067174A (ko) | 2008-12-11 | 2010-06-21 | 한국전자통신연구원 | 음성 인식을 이용한 메타데이터 검색기, 검색 방법, ｉｐｔｖ 수신 장치 |
| KR20120034378A (ko) | 2010-10-01 | 2012-04-12 | 엔에이치엔(주) | 사운드 인식을 통한 광고 정보 제공 시스템 및 방법 |
| US9189730B1 (en) * | 2012-09-20 | 2015-11-17 | Brain Corporation | Modulated stochasticity spiking neuron network controller apparatus and methods |
| US9767419B2 (en) * | 2014-01-24 | 2017-09-19 | Microsoft Technology Licensing, Llc | Crowdsourcing system with community learning |
| US10102480B2 (en) * | 2014-06-30 | 2018-10-16 | Amazon Technologies, Inc. | Machine learning service |
| CN106462801A (zh) * | 2014-10-07 | 2017-02-22 | 谷歌公司 | 在分区训练数据上训练神经网络 |
| CN110443351B (zh) * | 2014-11-14 | 2021-05-28 | 谷歌有限责任公司 | 生成映像的自然语言描述 |
| US11080587B2 (en) * | 2015-02-06 | 2021-08-03 | Deepmind Technologies Limited | Recurrent neural networks for data item generation |
| US10373054B2 (en) * | 2015-04-19 | 2019-08-06 | International Business Machines Corporation | Annealed dropout training of neural networks |
| US10515307B2 (en) * | 2015-06-05 | 2019-12-24 | Google Llc | Compressed recurrent neural network models |
| US9652712B2 (en) * | 2015-07-27 | 2017-05-16 | Google Inc. | Analyzing health events using recurrent neural networks |
| US11151446B2 (en) * | 2015-10-28 | 2021-10-19 | Google Llc | Stream-based accelerator processing of computational graphs |
-
2018
- 2018-03-23 EP EP18716863.8A patent/EP3559868B1/en active Active
- 2018-03-23 CN CN201880011282.1A patent/CN110268422B/zh active Active
- 2018-03-23 EP EP25167147.5A patent/EP4553715A3/en active Pending
- 2018-03-23 CN CN202311517807.8A patent/CN117648971A/zh active Pending
- 2018-03-23 KR KR1020197026115A patent/KR102208989B1/ko active Active
- 2018-03-23 JP JP2019552038A patent/JP6790286B2/ja active Active
- 2018-03-23 WO PCT/US2018/024155 patent/WO2018175972A1/en not_active Ceased
-
2019
- 2019-06-19 US US16/445,330 patent/US10692003B2/en active Active
-
2020
- 2020-05-20 US US16/878,720 patent/US11803747B2/en active Active
-
2023
- 2023-10-03 US US18/376,362 patent/US20240062062A1/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP2020512639A5 (enExample) | ||
| JP7419508B2 (ja) | 言語タスクのための対照事前トレーニング | |
| JP7325414B2 (ja) | 第１のニューラルネットワークモデルと第２のニューラルネットワークモデルとの訓練 | |
| KR102107709B1 (ko) | 공간 트랜스포머 모듈들 | |
| US12346817B2 (en) | Neural architecture search | |
| KR102532658B1 (ko) | 신경 아키텍처 검색 | |
| US9904875B2 (en) | Processing images using deep neural networks | |
| CN106462802B (zh) | 生成映像的自然语言描述 | |
| US9619749B2 (en) | Neural network and method of neural network training | |
| CN113726545B (zh) | 基于知识增强生成对抗网络的网络流量生成方法及装置 | |
| CN117829216A (zh) | 渐进式神经网络 | |
| US11727265B2 (en) | Methods and apparatus to provide machine programmed creative support to a user | |
| EP4462306A3 (en) | Learning data augmentation policies | |
| JP2019511033A5 (enExample) | ||
| CN109190750B (zh) | 基于对抗生成网络的小样本生成方法及装置 | |
| CN109643383A (zh) | 域分离神经网络 | |
| JP2020512639A (ja) | 強化学習を用いたデバイス配置最適化 | |
| KR20190117713A (ko) | 신경망 아키텍처 최적화 | |
| JP2019535084A (ja) | 分離可能な畳み込み層を含む画像処理ニューラルネットワーク | |
| CN109919209A (zh) | 一种领域自适应深度学习方法及可读存储介质 | |
| CN108038546A (zh) | 用于压缩神经网络的方法和装置 | |
| JP2019511033A (ja) | ニューラルネットワークを用いたテキストセグメントの係り受け解析の生成 | |
| WO2017040001A1 (en) | Neural network for processing graph data | |
| CN110663049A (zh) | 神经网络优化器搜索 | |
| CN110162751A (zh) | 文本生成器训练方法和文本生成器训练系统 |