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第 217–240 条,共 766 条来源
DiskANN: Fast Accurate Billion-point Nearest Neighbor Search on a Single Node
Suhas Jayaram Subramanya; Devvrit; Rohan Kadekodi; Ravishankar Krishaswamy; Harsha Vardhan Simhadri打开原始来源 ↗
2019DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
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2019-10-02来源定位: Abstract; 原文方法、理论和实验章节见作者原始论文链接
核查范围: 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。
查阅日期: 2026-10-21
打开原始来源 ↗引用本来源的文章 (1)
Distilling Free-Form Natural Laws from Experimental Data
Michael Schmidt; Hod Lipson打开原始来源 ↗
2009Distilling the Knowledge in a Neural Network
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2015-03-09来源定位: Abstract; 原文方法、理论和实验章节见作者原始论文链接
核查范围: 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。
查阅日期: 2026-10-21
打开原始来源 ↗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打开原始来源 ↗
2020DNA Fountain enables a robust and efficient storage architecture
Yaniv Erlich; Dina Zielinski打开原始来源 ↗
2017DNA methylation age of human tissues and cell types
Steve Horvath打开原始来源 ↗
2013DNA 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打开原始来源 ↗
2019Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus
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2021-04-18来源定位: Abstract; 原文方法、理论和实验章节见作者原始论文链接
核查范围: 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。
查阅日期: 2026-10-21
打开原始来源 ↗引用本来源的文章 (2)
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse
James Lucas; George Tucker; Roger Grosse; Mohammad Norouzi打开原始来源 ↗
2019Dostoevsky: Better Space-Time Trade-Offs for LSM-Tree Based Key-Value Stores via Adaptive Removal of Superfluous Merging
Niv Dayan; Stratos Idreos打开原始来源 ↗
2018Driving Cache Replacement with ML-based LeCaR
Giuseppe Vietri; Liana V. Rodriguez; Wendy A. Martinez; Steven Lyons; Jason Liu; Raju Rangaswami; Ming Zhao; Giri Narasimhan打开原始来源 ↗
2018Dynamic Filter Networks
Bert De Brabandere; Xu Jia; Tinne Tuytelaars; Luc Van Gool打开原始来源 ↗
2016E(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打开原始来源 ↗
2021E(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打开原始来源 ↗
2022E(n) Equivariant Graph Neural Networks
Víctor Garcia Satorras; Emiel Hoogeboom; Max Welling打开原始来源 ↗
2021引用本来源的文章 (1)
E(n) Equivariant Graph Neural Networks
Victor Garcia Satorras; Emiel Hoogeboom; Max Welling打开原始来源 ↗
2021Earthquake transformer—an attentive deep-learning model for simultaneous earthquake detection and phase picking
Mousavi et al.
2020-08-07来源定位: Single-station detection and P/S picking; 5-week Tottori study and downstream event location.
查阅日期: 2026-10-22
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Effective gene expression prediction from sequence by integrating long-range interactions
Avsec et al.
2021来源定位: Results: long-range regulation; eQTL linkage disequilibrium and task-specific validation.
查阅日期: 2026-10-22
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Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs
Yu. A. Malkov; D. A. Yashunin打开原始来源 ↗
2018Efficient GEMM in CUDA
NVIDIA打开原始来源 ↗
2026Efficient Memory Disaggregation with Infiniswap
Juncheng Gu; Youngmoon Lee; Yiwen Zhang; Mosharaf Chowdhury; Kang G. Shin打开原始来源 ↗
2017Efficient Memory Management for Large Language Model Serving with PagedAttention
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2023-09-12来源定位: Abstract; 原文方法、理论和实验章节见作者原始论文链接
核查范围: 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。
查阅日期: 2026-10-21
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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打开原始来源 ↗
2023