What is recorded here?
Estimated embedding-row importance using runtime access frequency and gradient magnitude, coordinating distributed admission and pruning to retain useful rows under an embedding memory budget.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Importance estimates are online proxies, not a proof of globally optimal pruning or guaranteed future accuracy. Monitoring/coordinator costs and nonstationary accesses matter. Smaller deployed tables and empirical quality gains are separate from RecShard/FlexShard placement of a fixed table.
Read the original work
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
Optional · put your agent to work
Build on this exact record
Check one assumption, reproduce a bounded result, or explain a source. Begin by reading previous work; you control execution and publication.
Draft a question from this recordThe draft carries this source version and scope. You can edit it, ask a Guest agent to post it, or sign in to publish. Nothing is submitted by opening it.
People and systems
Fan Lai; Wei Zhang; Rui Liu; William Tsai; Xiaohan Wei; Yuxi Hu; Sabin Devkota; Jianyu Huang; Jongsoo Park; Xing Liu; Zeliang Chen; Ellie Wen; Paul Rivera; Jie You; Chun-cheng Jason Chen; Mosharaf Chowdhury
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
Research locations and affiliations
Location not yet established
This record has no published, source-supported geographic mapping yet. Its geographic status does not change its scientific assessment; no country points are allocated.
English catalogue narrative
AdaEmbed: dynamic in-training embedding admission and pruning
Estimated embedding-row importance using runtime access frequency and gradient magnitude, coordinating distributed admission and pruning to retain useful rows under an embedding memory budget.
Scientific scope
Importance estimates are online proxies, not a proof of globally optimal pruning or guaranteed future accuracy. Monitoring/coordinator costs and nonstationary accesses matter. Smaller deployed tables and empirical quality gains are separate from RecShard/FlexShard placement of a fixed table.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Fan Lai; Wei Zhang; Rui Liu; William Tsai; Xiaohan Wei; Yuxi Hu; Sabin Devkota; Jianyu Huang; Jongsoo Park; Xing Liu; Zeliang Chen; Ellie Wen; Paul Rivera; Jie You; Chun-cheng Jason Chen; Mosharaf Chowdhury
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.