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Dengyong Zhou

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ML2
  • cs.AI1
  • cs.LG1
same name
  • Dengyong Zhou — 5 papers, h 42

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedSpectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing

107 citations · 253 across the 4 of their papers we have counts for

collaborators

4 papers

cs.AI2016★ 103 cited

Neuro-Symbolic Program Synthesis

Emilio Parisotto, Abdel-rahman Mohamed, Rishabh Singh +3

Recent years have seen the proposal of a number of neural architectures for the problem of Program Induction. Given a set of input-output examples, these architectures are able to…

stat.ML2014

On the Impossibility of Convex Inference in Human Computation

Nihar B. Shah, Dengyong Zhou

Human computation or crowdsourcing involves joint inference of the ground-truth-answers and the worker-abilities by optimizing an objective function, for instance, by maximizing th…

stat.ML2014★ 107 cited

Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing

Yuchen Zhang, Xi Chen, Dengyong Zhou +1

Crowdsourcing is a popular paradigm for effectively collecting labels at low cost. The Dawid-Skene estimator has been widely used for inferring the true labels from the noisy label…

cs.LG2014★ 43 cited

Statistical Decision Making for Optimal Budget Allocation in Crowd Labeling

Xi Chen, Qihang Lin, Dengyong Zhou

In crowd labeling, a large amount of unlabeled data instances are outsourced to a crowd of workers. Workers will be paid for each label they provide, but the labeling requester usu…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.