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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。

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DiskANN: Fast Accurate Billion-point Nearest Neighbor Search on a Single Node
Suhas Jayaram Subramanya; Devvrit; Rohan Kadekodi; Ravishankar Krishaswamy; Harsha Vardhan Simhadri
2019
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引用したレビュー (1)
- Searching with an Error Budget: Approximate Neighbors, Recall, and Workload Geometry
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
, , ,
2019-10-02
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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引用したレビュー (1)
- 知识蒸馏的可迁移信息：温度、教师误差与学生容量
Distilling Free-Form Natural Laws from Experimental Data
Michael Schmidt; Hod Lipson
2009
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引用したレビュー (1)
- Discovering an Equation from Data: Sparse Structure, Hidden Variables and Experimental Design
Distilling the Knowledge in a Neural Network
, ,
2015-03-09
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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引用したレビュー (4)
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization
Shiori Sagawa; Pang Wei Koh; Tatsunori B. Hashimoto; Percy Liang
2020
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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
DNA Fountain enables a robust and efficient storage architecture
Yaniv Erlich; Dina Zielinski
2017
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引用したレビュー (1)
- An Archive Made of Molecules: DNA Data Storage, Erasures and End-to-End Reliability
DNA methylation age of human tissues and cell types
Steve Horvath
2013
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引用したレビュー (1)
- What Does an Epigenetic Clock Measure? Prediction, Intervention and the Problem of Biological Age
DNA methylation GrimAge strongly predicts lifespan and healthspan
Ake T. Lu; Austin Quach; James G. Wilson; Alex P. Reiner; Abraham Aviv; Kenneth Raj; Lifang Hou; Andrea A. Baccarelli; Yun Li; James D. Stewart; Eric A. Whitsel; Themistocles L. Assimes; Luigi Ferrucci; Steve Horvath
2019
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- What Does an Epigenetic Clock Measure? Prediction, Intervention and the Problem of Biological Age
Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus
, , , , , , ,
2021-04-18
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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引用したレビュー (2)
- 数据去重与评测污染：从样本家族到可信泛化分数
- 超越单一排行榜：能力测量、污染控制与统计不确定性
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse
James Lucas; George Tucker; Roger Grosse; Mohammad Norouzi
2019
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引用したレビュー (1)
- When a Latent Variable Stops Carrying Information
Dostoevsky: Better Space-Time Trade-Offs for LSM-Tree Based Key-Value Stores via Adaptive Removal of Superfluous Merging
Niv Dayan; Stratos Idreos
2018
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引用したレビュー (1)
- The Price of Sorted State: Compaction, Amplification, and Value Separation
Driving Cache Replacement with ML-based LeCaR
Giuseppe Vietri; Liana V. Rodriguez; Wendy A. Martinez; Steven Lyons; Jason Liu; Raju Rangaswami; Ming Zhao; Giri Narasimhan
2018
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引用したレビュー (1)
- Caching Beyond Recency: Admission, Workload Shift, and the Cost of a Miss
Dynamic Filter Networks
Bert De Brabandere; Xu Jia; Tinne Tuytelaars; Luc Van Gool
2016
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引用したレビュー (1)
- Weights as Conditional Outputs: Hypernetworks, Modulation, and the Limits of Parameter Sharing
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials
Simon Batzner; Albert Musaelian; Lixin Sun; Mario Geiger; Jonathan P. Mailoa; Mordechai Kornbluth; Nicola Molinari; Tess E. Smidt; Boris Kozinsky
2021
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引用したレビュー (1)
- Handedness Is Information: Molecular Equivariance Beyond Distances
E(3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials
Simon Batzner; Albert Musaelian; Lixin Sun; Mario Geiger; Jonathan P. Mailoa; Mordechai Kornbluth; Nicola Molinari; Tess E. Smidt; Boris Kozinsky
2022
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引用したレビュー (1)
- The Force of a Prediction: Transferability, Stability and Uncertainty in Learned Atomic Potentials
E(n) Equivariant Graph Neural Networks
Víctor Garcia Satorras; Emiel Hoogeboom; Max Welling
2021
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引用したレビュー (1)
- Equivariance Is a Contract About Transformations
E(n) Equivariant Graph Neural Networks
Victor Garcia Satorras; Emiel Hoogeboom; Max Welling
2021
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引用したレビュー (1)
- Handedness Is Information: Molecular Equivariance Beyond Distances
Earthquake transformer—an attentive deep-learning model for simultaneous earthquake detection and phase picking
Mousavi et al.
2020-08-07
参照箇所: Single-station detection and P/S picking; 5-week Tottori study and downstream event location.
確認日: 2026-10-22
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引用したレビュー (1)
- 从波形检测到地震目录：学习拾取、关联定位与完备性的联合分析
Effective gene expression prediction from sequence by integrating long-range interactions
Avsec et al.
2021
参照箇所: Results: long-range regulation; eQTL linkage disequilibrium and task-specific validation.
確認日: 2026-10-22
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引用したレビュー (1)
- 读懂非编码基因组：长程调控模型的尺度、变异效应与因果识别
Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs
Yu. A. Malkov; D. A. Yashunin
2018
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引用したレビュー (1)
- Searching with an Error Budget: Approximate Neighbors, Recall, and Workload Geometry
Efficient GEMM in CUDA
NVIDIA
2026
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引用したレビュー (1)
- Beyond Peak FLOPS: GPU Performance as a Sequence of Resource Constraints
Efficient Memory Disaggregation with Infiniswap
Juncheng Gu; Youngmoon Lee; Yiwen Zhang; Mosharaf Chowdhury; Kang G. Shin
2017
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引用したレビュー (1)
- Memory across a Network: RDMA, Placement, and the Cost of Remote State
Efficient Memory Management for Large Language Model Serving with PagedAttention
, , , , , , , ,
2023-09-12
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
一次資料を開く ↗
引用したレビュー (1)
- PagedAttention 与在线推理：KV 分页、共享及调度的联合分析
Efficient Memory Management for Large Language Model Serving with PagedAttention
Woosuk Kwon; Zhuohan Li; Siyuan Zhuang; Ying Sheng; Lianmin Zheng; Cody Hao Yu; Joseph Gonzalez; Hao Zhang; Ion Stoica
2023
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引用したレビュー (1)
- Serving Language Models Within a Memory Budget: Attention, Paging, and Scheduling

参考文献

DiskANN: Fast Accurate Billion-point Nearest Neighbor Search on a Single Node

DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Distilling Free-Form Natural Laws from Experimental Data

Distilling the Knowledge in a Neural Network

Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization

DNA Fountain enables a robust and efficient storage architecture

DNA methylation age of human tissues and cell types

DNA methylation GrimAge strongly predicts lifespan and healthspan

Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus

Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse

Dostoevsky: Better Space-Time Trade-Offs for LSM-Tree Based Key-Value Stores via Adaptive Removal of Superfluous Merging

Driving Cache Replacement with ML-based LeCaR

Dynamic Filter Networks

E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials

E(3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials

E(n) Equivariant Graph Neural Networks

E(n) Equivariant Graph Neural Networks

Earthquake transformer—an attentive deep-learning model for simultaneous earthquake detection and phase picking

Effective gene expression prediction from sequence by integrating long-range interactions

Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs

Efficient GEMM in CUDA

Efficient Memory Disaggregation with Infiniswap

Efficient Memory Management for Large Language Model Serving with PagedAttention

Efficient Memory Management for Large Language Model Serving with PagedAttention