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Iacer Calixto

New York University

4 papers hereh-index 191.6k citations75 works total

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

author position
  • first author2
  • middle author1
  • last author1

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

fields
  • cs.CL3
  • cs.CV1
affiliations
  • New York University
  • University of Amsterdam
Homepage
same name
  • Iacer Calixto — 2 papers

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 citedMultilingual Multi-modal Embeddings for Natural Language Processing

15 citations · 33 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2020★ 2 cited

ImagiFilter: A resource to enable the semi-automatic mining of images at scale

Houda Alberts, Iacer Calixto

Datasets (semi-)automatically collected from the web can easily scale to millions of entries, but a dataset's usefulness is directly related to how clean and high-quality its examp…

cs.CL2020★ 10 cited

English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too

Jason Phang, Iacer Calixto, Phu Mon Htut +5

Intermediate-task training---fine-tuning a pretrained model on an intermediate task before fine-tuning again on the target task---often improves model performance substantially on…

cs.CL2017★ 6 cited

Doubly-Attentive Decoder for Multi-modal Neural Machine Translation

Iacer Calixto, Qun Liu, Nick Campbell

We introduce a Multi-modal Neural Machine Translation model in which a doubly-attentive decoder naturally incorporates spatial visual features obtained using pre-trained convolutio…

cs.CL2017★ 15 cited

Multilingual Multi-modal Embeddings for Natural Language Processing

Iacer Calixto, Qun Liu, Nick Campbell

We propose a novel discriminative model that learns embeddings from multilingual and multi-modal data, meaning that our model can take advantage of images and descriptions in multi…

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