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参考文献

研究集で引用した一次資料です。照合しやすいよう、題名と書誌情報は原文を保持しています。

全766件中 673–696件

The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing
Tyler Akidau; Robert Bradshaw; Craig Chambers; Slava Chernyak; Rafael J. Fernández-Moctezuma; Reuven Lax; Sam McVeety; Daniel Mills; Frances Perry; Eric Schmidt; Sam Whittle
2015
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引用したレビュー (1)
- When a Stream Is Complete: Event Time, Watermarks, and Revisable Results
The Design Space of E(3)-Equivariant Atom-Centered Interatomic Potentials
Ilyes Batatia; Simon Batzner; Dávid Péter Kovács; Albert Musaelian; Gregor N. C. Simm; Ralf Drautz; Christoph Ortner; Boris Kozinsky; Gábor Csányi
2022
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引用したレビュー (1)
- Handedness Is Information: Molecular Equivariance Beyond Distances
The Entity Attestation Token (EAT)
Laurence Lundblade; Giridhar Mandyam; Jeremy O'Donoghue; Carl Wallace
2025
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引用したレビュー (1)
- What an Attestation Establishes: Confidential Computing and the Remaining Trust Boundary
The generalization error of random features regression: Precise asymptotics and double descent curve
Song Mei; Andrea Montanari
2020
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引用したレビュー (1)
- When Fitting Noise Is Benign: Interpolation, Effective Rank, and the Geometry of Prediction
The I-JSON Message Format (RFC 7493)
Tim Bray
2015
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引用したレビュー (1)
- One Message, Two Languages: Parser Differentials as a Security Boundary
The impact of site-specific digital histology signatures on deep learning model accuracy and bias
Frederick M. Howard; James Dolezal; Sara Kochanny; Jefree Schulte; Heather Chen; Lara Heij; Dezheng Huo; Rita Nanda; Olufunmilayo I. Olopade; Jakob N. Kather; Nicole Cipriani; Robert L. Grossman; Alexander T. Pearson
2021
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引用したレビュー (1)
- From Slides to Sites: Foundation Models, Distribution Shift and Histopathology Validation
The implicit bias of gradient descent on nonseparable data
Ziwei Ji; Matus Telgarsky
2019
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引用したレビュー (1)
- Zero Training Error Does Not Determine the Learned Classifier
The Implicit Bias of Gradient Descent on Separable Data
Daniel Soudry; Elad Hoffer; Mor Shpigel Nacson; Suriya Gunasekar; Nathan Srebro
2018
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引用したレビュー (1)
- Zero Training Error Does Not Determine the Learned Classifier
The JavaScript Object Notation (JSON) Data Interchange Format (RFC 8259)
Tim Bray
2017
一次資料を開く ↗
引用したレビュー (1)
- One Message, Two Languages: Parser Differentials as a Security Boundary
The Log-Structured Merge-Tree (LSM-Tree)
Patrick O’Neil; Edward Cheng; Dieter Gawlick; Elizabeth O’Neil
1996
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引用したレビュー (1)
- The Price of Sorted State: Compaction, Amplification, and Value Separation
The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds
Paolo Ferragina; Giorgio Vinciguerra
2020
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引用したレビュー (1)
- Learned Indexes Under Distribution Change: Prediction, Search, and Correctness
The Risks of Invariant Risk Minimization
Elan Rosenfeld; Pradeep Ravikumar; Andrej Risteski
2021
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引用したレビュー (1)
- Auditing the Shortcut: Feature Interventions, Hidden Groups, and the Limits of Robustness Claims
The SyGuS Language Standard Version 2.1
Saswat Padhi; Elizabeth Polgreen; Mukund Raghothaman; Andrew Reynolds; Abhishek Udupa
2021
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引用したレビュー (1)
- Programs from Counterexamples: Synthesis, Specifications, and Oracle Limits
The tail at scale
Jeffrey Dean; Luiz André Barroso
2013
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引用したレビュー (1)
- The Geometry of Tail Latency: Fan-Out, Queueing, and Redundant Work
The Transit Light Source Effect: False Spectral Features and Incorrect Densities for M-dwarf Transiting Planets
Benjamin V. Rackham; Dániel Apai; Mark S. Giampapa
2018
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引用したレビュー (1)
- An Atmosphere through a Spectrum: Clouds, Stellar Contamination and Exoplanet Retrieval
The Transport Layer Security (TLS) Protocol Version 1.3
Eric Rescorla
2018
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引用したレビュー (1)
- Replacing a Primitive Is Not Migrating a Protocol: Post-Quantum Key Establishment
The upper bound revisited
Lloyd M. Robeson
2008
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引用したレビュー (1)
- Separating Molecules at Scale: Membrane Selectivity, Permeance and Process-Level Value
Theoretically Principled Trade-off between Robustness and Accuracy
, , , , ,
2019-01-24
参照箇所: Abstract; 原文方法、理论和实验章节见作者原始论文链接
確認範囲: 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。
確認日: 2026-10-21
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- 对抗鲁棒性的可检验边界：威胁模型、范数预算与攻击验收
Thermoelectric Efficiency and Compatibility
G. Jeffrey Snyder; Tristan S. Ursell
2003
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引用したレビュー (1)
- From a Large Figure of Merit to Useful Power: Thermoelectric Materials under Real Constraints
Tighter Risk Certificates for Neural Networks
María Pérez-Ortiz; Omar Rivasplata; John Shawe-Taylor; Csaba Szepesvári
2021
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引用したレビュー (1)
- Who Chose the Prior? PAC-Bayes Certificates, Data Dependence, and the Cost of Selection
Time2Vec: Learning a Vector Representation of Time
Seyed Mehran Kazemi; Rishab Goel; Sepehr Eghbali; Janahan Ramanan; Jaspreet Sahota; Sanjay Thakur; Stella Wu; Cathal Smyth; Pascal Poupart; Marcus Brubaker
2019
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引用したレビュー (1)
- Forecasts Must Respect the Clock: Temporal Leakage and Evaluation
Timely Stream Processing
Apache Flink contributors
2026
一次資料を開く ↗
引用したレビュー (1)
- When a Stream Is Complete: Event Time, Watermarks, and Revisable Results
TIMELY: RTT-based Congestion Control for the Datacenter
Radhika Mittal; Vinh The Lam; Nandita Dukkipati; Emily Blem; Hassan Wassel; Monia Ghobadi; Amin Vahdat; Yaogong Wang; David Wetherall; David Zats
2015
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引用したレビュー (1)
- Congestion Control as Delayed Inference: Throughput, Queues, and Fairness
TinyLFU: A Highly Efficient Cache Admission Policy
Gil Einziger; Roy Friedman; Ben Manes
2017
一次資料を開く ↗
引用したレビュー (1)
- Caching Beyond Recency: Admission, Workload Shift, and the Cost of a Miss

参考文献

The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing

The Design Space of E(3)-Equivariant Atom-Centered Interatomic Potentials

The Entity Attestation Token (EAT)

The generalization error of random features regression: Precise asymptotics and double descent curve

The I-JSON Message Format (RFC 7493)

The impact of site-specific digital histology signatures on deep learning model accuracy and bias

The implicit bias of gradient descent on nonseparable data

The Implicit Bias of Gradient Descent on Separable Data

The JavaScript Object Notation (JSON) Data Interchange Format (RFC 8259)

The Log-Structured Merge-Tree (LSM-Tree)

The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds

The Risks of Invariant Risk Minimization

The SyGuS Language Standard Version 2.1

The tail at scale

The Transit Light Source Effect: False Spectral Features and Incorrect Densities for M-dwarf Transiting Planets

The Transport Layer Security (TLS) Protocol Version 1.3

The upper bound revisited

Theoretically Principled Trade-off between Robustness and Accuracy

Thermoelectric Efficiency and Compatibility

Tighter Risk Certificates for Neural Networks

Time2Vec: Learning a Vector Representation of Time

Timely Stream Processing

TIMELY: RTT-based Congestion Control for the Datacenter

TinyLFU: A Highly Efficient Cache Admission Policy