Teruko Mitamura
Artificial Intelligence · 2007–2021
A researcher in the Science corpus: 6 papers; trusts 161 researchers and is trusted by 58 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 204 citations into it; #15,649 of 35,345 by trust here, #11,624 by citations
- Natural Language Processing — 173 citations into it; #967 of 5,688 by trust here, #1,558 by citations
- Computer Vision and Pattern Recognition — 81 citations into it; #10,021 of 21,575 by trust here, #8,722 by citations
- Representation & Self-Supervised Learning — 28 citations into it
- Evaluation & Benchmarks — 23 citations into it
- Optimization & Training — 19 citations into it
- Information Systems — 11 citations into it
- Information Retrieval & Search — 8 citations into it
Whom Teruko Mitamura trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Ilya Sutskever
- Diederik P. Kingma
- George A. Miller
- Yann LeCun
- Kaiming He
- Alex Graves
- Jimmy Ba
Who trusts Teruko Mitamura overall
- Aliaksei Severyn
- Alessandro Moschitti
- Mrinmaya Sachan
- Zhiguo Wang
- Deyu Meng
- Ming Tan
- Tomasz Jurczyk
- Wenpeng Yin
- Bing Xiang
- Noah A. Smith
Papers from Teruko Mitamura's perspective
Ordered by how strongly the researchers Teruko Mitamura trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- 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
- Easy Samples First: Self-paced Reranking for Zero-Example Multimedia Search (2014) — 349 citations
- A Survey of Data Augmentation Approaches for NLP (2021) — 1,000 citations
- GenAug: Data Augmentation for Finetuning Text Generators (2020) — 78 citations
- NAREOR: The Narrative Reordering Problem (2021) — 27 citations
- Overview of the NTCIR-11 QA-Lab Task (2014) — 51 citations
- What is the Jeopardy Model? A Quasi-Synchronous Grammar for QA (2007) — 475 citations