Research library / Reference sources
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Reference sources

Primary references used in the research collection. Titles and bibliographic details retain their original language.

References 601–624 of 766

  1. Secure Single-Server Vector Aggregation with (Poly)Logarithmic Overhead

    James Bell; K. A. Bonawitz; Adria Gascon; Tancrede Lepoint; Mariana Raykova
    2020
    Open original source ↗
    Referenced in (1)
  2. Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning

    Jinhyun So; Ramy E. Ali; Basak Guler; Jiantao Jiao; Salman Avestimehr
    2023
    Open original source ↗
    Referenced in (1)
  3. Segment Anything

    , , , , , , , , , , ,
    2023-04-05

    Source location: Abstract; 原文方法、理论和实验章节见作者原始论文链接

    Source scope: 一手论文;原文研究归属原作者。本文的推导示例与建议实验方案另行标注,不冒充原论文或本站实测。

    Inspected on: 2026-10-21

    Open original source ↗
    Referenced in (2)
  4. Segregation of mitochondrial DNA heteroplasmy through a developmental genetic bottleneck in human embryos

    Vasileios I. Floros; Angela Pyle; Sabine Dietmann; Wei Wei; Walfred C. W. Tang; Naoko Irie; Brendan Payne; Antonio Capalbo; Laila Noli; Jonathan Coxhead; Gavin Hudson; Moira Crosier; Henrik Strahl; Yacoub Khalaf; Mitinori Saitou; Dusko Ilic; M. Azim Surani; Patrick F. Chinnery
    2018
    Open original source ↗
    Referenced in (1)
  5. Seismic arrival-time picking on distributed acoustic sensing data using semi-supervised learning

    Zhu et al.
    2023

    Source location: Temporal-spatial DAS picker with pseudo-labels and phase association; sensor-domain distinction.

    Inspected on: 2026-10-22

    Open original source ↗
    Referenced in (1)
  6. seL4: formal verification of an OS kernel

    Gerwin Klein; Kevin Elphinstone; Gernot Heiser; June Andronick; David Cock; Philip Derrin; Dhammika Elkaduwe; Kai Engelhardt; Rafal Kolanski; Michael Norrish; Thomas Sewell; Harvey Tuch; Simon Winwood
    2009
    Open original source ↗
    Referenced in (1)
  7. Selective organ targeting (SORT) nanoparticles for tissue-specific mRNA delivery and CRISPR–Cas gene editing

    Qiang Cheng; Tuo Wei; Lukas Farbiak; Lindsay T. Johnson; Sean A. Dilliard; Daniel J. Siegwart
    2020
    Open original source ↗
    Referenced in (1)
  8. Self-Consistency Improves Chain of Thought Reasoning in Language Models

    Wang et al.
    2022-03-21

    Source location: v4 abstract

    Source scope: Samples multiple reasoning paths and marginalizes to choose a consistent answer. Correlated model errors can invalidate independent-vote intuitions.

    Inspected on: 2026-10-15

    Open original source ↗
    Referenced in (1)
  9. Self-Consuming Generative Models Go MAD

    Sina Alemohammad; Josue Casco-Rodriguez; Lorenzo Luzi; Ahmed Imtiaz Humayun; Hossein Babaei; Daniel LeJeune; Ali Siahkoohi; Richard G. Baraniuk
    2023
    Open original source ↗
    Referenced in (1)
  10. Self-Instruct: Aligning Language Models with Self-Generated Instructions

    , , , , , ,
    2022-12-20

    Source location: Abstract; 原文方法、理论和实验章节见作者原始论文链接

    Source scope: 一手论文;原文研究归属原作者。本文的推导示例与建议实验方案另行标注,不冒充原论文或本站实测。

    Inspected on: 2026-10-21

    Open original source ↗
    Referenced in (1)
  11. Self-Instruct: Aligning Language Models with Self-Generated Instructions

    Yizhong Wang; Yeganeh Kordi; Swaroop Mishra; Alisa Liu; Noah A. Smith; Daniel Khashabi; Hannaneh Hajishirzi
    2022
    Open original source ↗
    Referenced in (1)
  12. Self-Paced Learning for Latent Variable Models

    M. Pawan Kumar; Benjamin Packer; Daphne Koller
    2010
    Open original source ↗
    Referenced in (1)
  13. Self-training Improves Pre-training for Natural Language Understanding

    Jingfei Du; Edouard Grave; Beliz Gunel; Vishrav Chaudhary; Onur Celebi; Michael Auli; Ves Stoyanov; Alexis Conneau
    2020
    Open original source ↗
    Referenced in (1)
  14. Semantics-Guided Synthesis

    Jinwoo Kim; Qinheping Hu; Loris D'Antoni; Thomas Reps
    2020
    Open original source ↗
    Referenced in (1)
  15. SemDeDup: Data-efficient learning at web-scale through semantic deduplication

    Amro Abbas; Kushal Tirumala; Dániel Simig; Surya Ganguli; Ari S. Morcos
    2023
    Open original source ↗
    Referenced in (1)
  16. Semi-Supervised Classification with Graph Convolutional Networks

    ,
    2016-09-09

    Source location: Abstract; 原文方法、理论和实验章节见作者原始论文链接

    Source scope: 一手论文;原文研究归属原作者。本文的推导示例与建议实验方案另行标注,不冒充原论文或本站实测。

    Inspected on: 2026-10-21

    Open original source ↗
    Referenced in (1)
  17. Semi-Supervised Classification with Graph Convolutional Networks

    Thomas N. Kipf; Max Welling
    2017
    Open original source ↗
    Referenced in (1)
  18. SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing

    Taku Kudo; John Richardson
    2018
    Open original source ↗
    Referenced in (1)
  19. Serializable snapshot isolation in PostgreSQL

    Dan R. K. Ports; Kevin Grittner
    2012
    Open original source ↗
    Referenced in (1)
  20. Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider

    Mohammad Shahrad; Rodrigo Fonseca; Inigo Goiri; Gohar Chaudhry; Paul Batum; Jason Cooke; Eduardo Laureano; Colby Tresness; Mark Russinovich; Ricardo Bianchini
    2020
    Open original source ↗
    Referenced in (1)
  21. SEV Secure Nested Paging Firmware ABI Specification

    Advanced Micro Devices
    2025
    Open original source ↗
    Referenced in (1)
  22. Shallow-Deep Networks: Understanding and Mitigating Network Overthinking

    Yigitcan Kaya; Sanghyun Hong; Tudor Dumitras
    2019
    Open original source ↗
    Referenced in (1)
  23. Sharp Minima Can Generalize For Deep Nets

    Laurent Dinh; Razvan Pascanu; Samy Bengio; Yoshua Bengio
    2017
    Open original source ↗
    Referenced in (1)
  24. Sharpness-Aware Minimization for Efficiently Improving Generalization

    Pierre Foret; Ariel Kleiner; Hossein Mobahi; Behnam Neyshabur
    2021
    Open original source ↗
    Referenced in (1)