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Khanh-Binh Nguyen

3 papers here

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

author position
  • sole author2
  • first author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3
ORCID 0000-0002-9948-1400
same name
  • Khanh-Binh Nguyen — 3 papers, h 2
  • Khanh-Binh Nguyen — 1 paper
  • Khanh-Binh Nguyen — 1 paper, h 3

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 citedDebiasing, calibrating, and improving Semi-supervised Learning performance via simple Ensemble Projector

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2023

SequenceMatch: Revisiting the design of weak-strong augmentations for Semi-supervised learning

Khanh-Binh Nguyen

Semi-supervised learning (SSL) has become popular in recent years because it allows the training of a model using a large amount of unlabeled data. However, one issue that many SSL…

cs.CV2023★ 1 cited

Debiasing, calibrating, and improving Semi-supervised Learning performance via simple Ensemble Projector

Khanh-Binh Nguyen

Recent studies on semi-supervised learning (SSL) have achieved great success. Despite their promising performance, current state-of-the-art methods tend toward increasingly complex…

cs.CV2023

Boosting Semi-Supervised Learning by bridging high and low-confidence predictions

Khanh-Binh Nguyen, Joon-Sung Yang

Pseudo-labeling is a crucial technique in semi-supervised learning (SSL), where artificial labels are generated for unlabeled data by a trained model, allowing for the simultaneous…

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