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Jiwon Kim

16 papers hereh-index 4719.8k citations322 works total

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

author position
  • first author7
  • middle author4
  • last author5

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • cs.LG7
  • cs.AI1
  • q-fin.CP1
same name
  • Jiwon Kim — 16 papers, h 10
  • Jiwon Kim — 13 papers, h 34
  • Jiwon Kim — 3 papers, h 7
  • Jiwon Kim — 3 papers, h 4
  • Jiwon Kim — 2 papers, h 3
  • Jiwon Kim — 2 papers, h 8

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
20152023
most citedLearning to Discover Cross-Domain Relations with Generative Adversarial Networks

726 citations · 1.1k across the 16 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.LG2018★ 2 cited

Attention-based Recurrent Neural Network for Urban Vehicle Trajectory Prediction

Seongjin Choi, Jiwon Kim, Hwasoo Yeo

With the increasing deployment of diverse positioning devices and location-based services, a huge amount of spatial and temporal information has been collected and accumulated as t…

cs.LG2018★ 4 cited

Doubly Nested Network for Resource-Efficient Inference

Jaehong Kim, Sungeun Hong, Yongseok Choi +1

We propose doubly nested network(DNNet) where all neurons represent their own sub-models that solve the same task. Every sub-model is nested both layer-wise and channel-wise. While…

cs.LG2018★ 25 cited

Meta Continual Learning

Risto Vuorio, Dong-Yeon Cho, Daejoong Kim +1

Using neural networks in practical settings would benefit from the ability of the networks to learn new tasks throughout their lifetimes without forgetting the previous tasks. This…

cs.LG2018★ 25 cited

Auto-Meta: Automated Gradient Based Meta Learner Search

Jaehong Kim, Sangyeul Lee, Sungwan Kim +6

Fully automating machine learning pipelines is one of the key challenges of current artificial intelligence research, since practical machine learning often requires costly and tim…

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