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researcher

Christopher T. H. Teo

2 papers here

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

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG2

identity via Semantic Scholar / OpenAlex

most citedMeasuring Fairness in Generative Models

4 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2022

Fair Generative Models via Transfer Learning

Christopher TH Teo, Milad Abdollahzadeh, Ngai-Man Cheung

This work addresses fair generative models. Dataset biases have been a major cause of unfairness in deep generative models. Previous work had proposed to augment large, biased data…

cs.LG2021★ 4 cited

Measuring Fairness in Generative Models

Christopher T. H Teo, Ngai-Man Cheung

Deep generative models have made much progress in improving training stability and quality of generated data. Recently there has been increased interest in the fairness of deep-gen…

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