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Sosuke Kobayashi

Preferred Networks, Inc.

21 papers hereh-index 152k citations28 works total

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

author position
  • sole author1
  • first author4
  • middle author12
  • last author4

Across the 21 of 21 papers where every author was matched, so the position is known.

fields
  • cs.CL12
  • cs.LG5
  • cs.CV2
  • cs.HC1
  • cs.RO1
affiliations
  • Preferred Networks, Inc.
Homepage

identity via Semantic Scholar / OpenAlex

activity
20172026
most citedTrain Sparsely, Generate Densely: Memory-efficient Unsupervised Training of High-resolution Temporal GAN

114 citations · 355 across the 20 of their papers we have counts for

collaborators
Showing 2018 · cs.CLShow all

3 papers · 2 filters

cs.CL2018★ 1 cited

Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions

Sho Yokoi, Sosuke Kobayashi, Kenji Fukumizu +2

In this paper, we propose a new kernel-based co-occurrence measure that can be applied to sparse linguistic expressions (e.g., sentences) with a very short learning time, as an alt…

cs.CL2018★ 50 cited

Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations

Sosuke Kobayashi

We propose a novel data augmentation for labeled sentences called contextual augmentation. We assume an invariance that sentences are natural even if the words in the sentences are…

cs.CL2018

Unsupervised Learning of Style-sensitive Word Vectors

Reina Akama, Kento Watanabe, Sho Yokoi +2

This paper presents the first study aimed at capturing stylistic similarity between words in an unsupervised manner. We propose extending the continuous bag of words (CBOW) model (…

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