JP2024509502A - ニューラルネットワークアーキテクチャのための符号化技法 - Google Patents

ニューラルネットワークアーキテクチャのための符号化技法 Download PDF

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JP2024509502A
JP2024509502A JP2023544730A JP2023544730A JP2024509502A JP 2024509502 A JP2024509502 A JP 2024509502A JP 2023544730 A JP2023544730 A JP 2023544730A JP 2023544730 A JP2023544730 A JP 2023544730A JP 2024509502 A JP2024509502 A JP 2024509502A
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encoding
data set
quantized
encoded
compressed
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JP2024509502A5 (https=
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パヴァン・クマール・ヴィッタラデヴニ
テサン・ユー
ナガ・ブーシャン
ジュネ・ナムグン
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クアルコム，インコーポレイテッド
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/02—Traffic management, e.g. flow control or congestion control
    • H04W28/06—Optimizing the usage of the radio link, e.g. header compression, information sizing, discarding information
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G06N3/0455—Auto-encoder networks; Encoder-decoder networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0464—Convolutional networks [CNN, ConvNet]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0495—Quantised networks; Sparse networks; Compressed networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T9/00—Image coding
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T9/00—Image coding
    • G06T9/002—Image coding using neural networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
    • H04L69/04—Protocols for data compression, e.g. ROHC
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/20—Control channels or signalling for resource management
    • H04W72/23—Control channels or signalling for resource management in the downlink direction of a wireless link, i.e. towards a terminal
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/048—Activation functions
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Biomedical Technology (AREA)
  • Software Systems (AREA)
  • Mathematical Physics (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Multimedia (AREA)
  • Computer Security & Cryptography (AREA)
  • Compression, Expansion, Code Conversion, And Decoders (AREA)
  • Mobile Radio Communication Systems (AREA)
JP2023544730A 2021-03-05 2022-02-04 ニューラルネットワークアーキテクチャのための符号化技法 Pending JP2024509502A (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US17/194,077 US12361277B2 (en) 2021-03-05 2021-03-05 Encoding techniques for neural network architectures
US17/194,077 2021-03-05
PCT/US2022/015285 WO2022186947A1 (en) 2021-03-05 2022-02-04 Encoding techniques for neural network architectures

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JP2024509502A true JP2024509502A (ja) 2024-03-04
JP2024509502A5 JP2024509502A5 (https=) 2025-01-30

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US (1) US12361277B2 (https=)
EP (1) EP4302232A1 (https=)
JP (1) JP2024509502A (https=)
KR (1) KR20230154014A (https=)
CN (1) CN116917902A (https=)
BR (1) BR112023017266A2 (https=)
TW (1) TW202239152A (https=)
WO (1) WO2022186947A1 (https=)

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WO2022040661A1 (en) * 2020-08-18 2022-02-24 Qualcomm Incorporated Reporting weight updates to a neural network for generating channel state information feedback
FI20206314A1 (en) * 2020-12-16 2022-06-17 Nokia Technologies Oy ESTIMATION OF DELAY SPREAD AND DOPPLER SPREAD
EP4304095A1 (en) * 2022-07-05 2024-01-10 The Boeing Company Compression and distribution of meteorological data using machine learning
WO2024065296A1 (zh) * 2022-09-28 2024-04-04 华为技术有限公司 数据传输方法及装置
CN116155453B (zh) * 2023-04-23 2023-07-07 哈尔滨工业大学(深圳)(哈尔滨工业大学深圳科技创新研究院) 一种面向动态信噪比的译码方法及相关设备
WO2025091206A1 (en) * 2023-10-31 2025-05-08 Qualcomm Incorporated Configuration of entropy coding for channel state feedback
CN120201092A (zh) * 2023-12-21 2025-06-24 华为技术有限公司 数据压缩的方法和装置

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3564864A1 (en) * 2016-12-30 2019-11-06 Shanghai Cambricon Information Technology Co., Ltd Devices for compression/decompression, system, chip, and electronic device

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US6919825B2 (en) * 2003-09-25 2005-07-19 Peerless Systems Corporation Split runlength encoding method and apparatus
CN117676138A (zh) * 2017-12-06 2024-03-08 V-诺瓦国际有限公司 编码信号的方法、编码器、解码数据流的方法以及解码器
US11257254B2 (en) 2018-07-20 2022-02-22 Google Llc Data compression using conditional entropy models
WO2020068498A1 (en) 2018-09-27 2020-04-02 Google Llc Data compression using integer neural networks

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3564864A1 (en) * 2016-12-30 2019-11-06 Shanghai Cambricon Information Technology Co., Ltd Devices for compression/decompression, system, chip, and electronic device

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TW202239152A (zh) 2022-10-01
US20220284282A1 (en) 2022-09-08
BR112023017266A2 (pt) 2023-09-26
KR20230154014A (ko) 2023-11-07
CN116917902A (zh) 2023-10-20
WO2022186947A1 (en) 2022-09-09
EP4302232A1 (en) 2024-01-10
US12361277B2 (en) 2025-07-15

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