Seohyun Back
Artificial Intelligence · 2018–2021
A researcher in the Science corpus: 3 papers; trusts 112 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 75 citations into it
- Natural Language Processing — 73 citations into it
- Computer Vision and Pattern Recognition — 36 citations into it
- Evaluation & Benchmarks — 16 citations into it
- Information Retrieval & Search — 10 citations into it
- Model Architectures — 10 citations into it
Whom Seohyun Back trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Ilya Sutskever
- Pranav Rajpurkar
- Alex Graves
- Diederik P. Kingma
- Alex Krizhevsky
- Matthew D. Zeiler
- Oriol Vinyals
- Ronald J. Williams
Who trusts Seohyun Back overall
Papers from Seohyun Back's perspective
Ordered by how strongly the researchers Seohyun Back trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- 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)
Their papers
- Learning to Generate Questions by Learning to Recover Answer-containing Sentences (2021) — 19 citations
- A Multi-Stage Memory Augmented Neural Network for Machine Reading Comprehension (2018) — 23 citations
- Cut to the Chase: A Context Zoom-in Network for Reading Comprehension (2018) — 18 citations