Fuentes de referencia

Referencias 217–240 de 766

217. 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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     • Searching with an Error Budget: Approximate Neighbors, Recall, and Workload Geometry

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

     , , ,
     2019-10-02

     Ubicación en la fuente: Abstract; 原文方法、理论和实验章节见作者原始论文链接

     Alcance de la consulta: 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。

     Consulta: 2026-10-21

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     • 知识蒸馏的可迁移信息：温度、教师误差与学生容量

219. Distilling Free-Form Natural Laws from Experimental Data

     Michael Schmidt; Hod Lipson
     2009
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     • Discovering an Equation from Data: Sparse Structure, Hidden Variables and Experimental Design

220. Distilling the Knowledge in a Neural Network

     , ,
     2015-03-09

     Ubicación en la fuente: Abstract; 原文方法、理论和实验章节见作者原始论文链接

     Alcance de la consulta: 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。

     Consulta: 2026-10-21

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     • 知识蒸馏的可迁移信息：温度、教师误差与学生容量
     • 参数高效适配的低秩假设：LoRA 的优化结构、容量与合并等价性
     • 偏好优化的目标边界：奖励代理、参考策略与分布漂移
     • 量子纠错的学习译码：逻辑等价类、相关噪声与实时吞吐的三重约束

221. 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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     • Auditing the Shortcut: Feature Interventions, Hidden Groups, and the Limits of Robustness Claims

222. DNA Fountain enables a robust and efficient storage architecture

     Yaniv Erlich; Dina Zielinski
     2017
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     • An Archive Made of Molecules: DNA Data Storage, Erasures and End-to-End Reliability

223. DNA methylation age of human tissues and cell types

     Steve Horvath
     2013
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     • What Does an Epigenetic Clock Measure? Prediction, Intervention and the Problem of Biological Age

224. 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

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

     , , , , , , ,
     2021-04-18

     Ubicación en la fuente: Abstract; 原文方法、理论和实验章节见作者原始论文链接

     Alcance de la consulta: 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。

     Consulta: 2026-10-21

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     • 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

226. 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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     • When a Latent Variable Stops Carrying Information

227. 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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     • The Price of Sorted State: Compaction, Amplification, and Value Separation

228. 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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     • Caching Beyond Recency: Admission, Workload Shift, and the Cost of a Miss

229. Dynamic Filter Networks

     Bert De Brabandere; Xu Jia; Tinne Tuytelaars; Luc Van Gool
     2016
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     • Weights as Conditional Outputs: Hypernetworks, Modulation, and the Limits of Parameter Sharing

230. 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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     • Handedness Is Information: Molecular Equivariance Beyond Distances

231. 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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     • The Force of a Prediction: Transferability, Stability and Uncertainty in Learned Atomic Potentials

232. E(n) Equivariant Graph Neural Networks

     Víctor Garcia Satorras; Emiel Hoogeboom; Max Welling
     2021
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     • Equivariance Is a Contract About Transformations

233. E(n) Equivariant Graph Neural Networks

     Victor Garcia Satorras; Emiel Hoogeboom; Max Welling
     2021
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     • Handedness Is Information: Molecular Equivariance Beyond Distances

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

     Mousavi et al.
     2020-08-07

     Ubicación en la fuente: Single-station detection and P/S picking; 5-week Tottori study and downstream event location.

     Consulta: 2026-10-22

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     • 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

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

     Avsec et al.
     2021

     Ubicación en la fuente: Results: long-range regulation; eQTL linkage disequilibrium and task-specific validation.

     Consulta: 2026-10-22

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     • 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

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

     Yu. A. Malkov; D. A. Yashunin
     2018
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     • Searching with an Error Budget: Approximate Neighbors, Recall, and Workload Geometry

237. Efficient GEMM in CUDA

     NVIDIA
     2026
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     • Beyond Peak FLOPS: GPU Performance as a Sequence of Resource Constraints

238. Efficient Memory Disaggregation with Infiniswap

     Juncheng Gu; Youngmoon Lee; Yiwen Zhang; Mosharaf Chowdhury; Kang G. Shin
     2017
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     • Memory across a Network: RDMA, Placement, and the Cost of Remote State

239. Efficient Memory Management for Large Language Model Serving with PagedAttention

     , , , , , , , ,
     2023-09-12

     Ubicación en la fuente: Abstract; 原文方法、理论和实验章节见作者原始论文链接

     Alcance de la consulta: 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。

     Consulta: 2026-10-21

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     • PagedAttention 与在线推理：KV 分页、共享及调度的联合分析

240. 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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     • Serving Language Models Within a Memory Budget: Attention, Paging, and Scheduling