Database Paper Browser

Back to papers

CLAMShell: Speeding up Crowds for Low-latency Data Labeling

Summary: Presents CLAMShell to accelerate crowds for fast labeling; builds latency taxonomy and deployment profiles. Mitigates stragglers, pool maintenance, retainer pools, and active learning yield large speedups and lower variance; validated on MTurk. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11329
Venue
VLDB
Year
2016
Pagerank
6.1738675e-05
Overall Rank
4,451 | 69.04%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 12 of 12 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 16 of 16 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers