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Ryo Takahashi

4 papers hereh-index 7725 citations11 works total

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

author position
  • first author2
  • middle author2

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

fields
  • cs.CL2
  • cs.CV2
same name
  • Ryo Takahashi — 113 papers, h 28
  • Ryo Takahashi — 14 papers, h 7
  • Ryo Takahashi — 6 papers, h 6
  • Ryo Takahashi — 3 papers, h 1
  • Ryo Takahashi — 3 papers, h 1
  • Ryo Takahashi — 2 papers, h 1

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

activity
20172021
most citedData Augmentation using Random Image Cropping and Patching for Deep CNNs

482 citations · 577 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CL2021★ 64 cited

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned

Sewon Min, Jordan Boyd-Graber, Chris Alberti +50

We review the EfficientQA competition from NeurIPS 2020. The competition focused on open-domain question answering (QA), where systems take natural language questions as input and…

cs.CL2020

Word Rotator's Distance

Sho Yokoi, Ryo Takahashi, Reina Akama +2

A key principle in assessing textual similarity is measuring the degree of semantic overlap between two texts by considering the word alignment. Such alignment-based approaches are…

cs.CV2018★ 482 cited

Data Augmentation using Random Image Cropping and Patching for Deep CNNs

Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara

Deep convolutional neural networks (CNNs) have achieved remarkable results in image processing tasks. However, their high expression ability risks overfitting. Consequently, data a…

cs.CV2017★ 31 cited

A Novel Weight-Shared Multi-Stage CNN for Scale Robustness

Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara

Convolutional neural networks (CNNs) have demonstrated remarkable results in image classification for benchmark tasks and practical applications. The CNNs with deeper architectures…

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