Kenji Sagae
Artificial Intelligence · 2005–2021
A researcher in the Science corpus: 6 papers; trusts 129 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 60 citations into it; #10,955 of 35,345 by trust here, #12,974 by citations
- Natural Language Processing — 60 citations into it; #3,789 of 5,688 by trust here, #4,361 by citations
- Computer Vision and Pattern Recognition — 21 citations into it; #14,650 of 21,575 by trust here, #11,950 by citations
- Safety, Robustness & Interpretability — 13 citations into it
- Evaluation & Benchmarks — 9 citations into it
- Representation & Self-Supervised Learning — 8 citations into it
Whom Kenji Sagae trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Eugene Charniak
- Adwait Ratnaparkhi
- Yoshua Bengio
- Geoffrey E. Hinton
- Tomas Mikolov
- Jason Aaron Edward Weston
- Diederik P. Kingma
- Ilya Sutskever
- Emily Dinan
- Alex Krizhevsky
Who trusts Kenji Sagae overall
- Zhiguo Wang
- Yue Zhang
- Stephen Clark
- Muhua Zhu
- Nianwen Xue
- Amir Zadeh
- Percy Liang
- Wenliang Chen
- Min Zhang
Papers from Kenji Sagae's perspective
Ordered by how strongly the researchers Kenji Sagae trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- YouTube Movie Reviews: Sentiment Analysis in an Audio-Visual Context (2013) — 414 citations
- A Classifier-Based Parser with Linear Run-Time Complexity (2005) — 168 citations
- Computational Analysis of Persuasiveness in Social Multimedia: A Novel Dataset and Multimodal Prediction Approach (2014) — 152 citations
- Automatically Exposing Problems with Neural Dialog Models (2021) — 9 citations
- Combining Distributed Vector Representations for Words (2015) — 33 citations
- Commonsense Causal Reasoning Using Millions of Personal Stories (2011) — 77 citations