Kazunari Sugiyama

Information Systems · 2004–2020

A researcher in the Science corpus: 4 papers; trusts 9 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 25 citations into it; #5,295 of 8,771 by trust here, #3,098 by citations
• Artificial Intelligence — 23 citations into it; #27,100 of 35,345 by trust here, #29,412 by citations
• Sociology and Political Science — 22 citations into it
• Statistical and Nonlinear Physics — 16 citations into it
• Natural Language Processing — 10 citations into it; #4,435 of 5,688 by trust here, #5,502 by citations
• Information Retrieval & Search — 6 citations into it
• Graph Learning — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Kazunari Sugiyama trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Taher H. Haveliwala
2. Jon M. Kleinberg
3. Paul Resnick
4. Kai Shu
5. J. Konstan
6. Marko Balabanovic
7. Jonathan L. Herlocker
8. J. Breese
9. Sepp Hochreiter
10. Thomas Kipf

Who trusts Kazunari Sugiyama overall

1. Yehuda Koren
2. Zhicheng Dou
3. Ruihua Song
4. Prakhar Ganesh
5. Jaime Teevan
6. Bin Tan
7. Xuehua Shen
8. Julian McAuley
9. Kung-Hsiang Huang
10. Paolo Ferragina

Papers from Kazunari Sugiyama's perspective

Ordered by how strongly the researchers Kazunari Sugiyama trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Gradient-based learning applied to document recognition
8. GloVe: Global Vectors for Word Representation
9. ImageNet: A large-scale hierarchical image database
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• FANG: Leveraging Social Context for Fake News Detection Using Graph Representation (2020) — 336 citations
• Abstractive Meeting Summarization Using Dependency Graph Fusion (2015) — 27 citations
• Predicting the popularity of web 2.0 items based on user comments (2014) — 112 citations
• Adaptive web search based on user profile constructed without any effort from users (2004) — 852 citations