Young H. Oh

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it
• Natural Language Processing — 22 citations into it

Whom Young H. Oh trusts overall

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

1. Yoshua Bengio
2. Jason Aaron Edward Weston
3. Geoffrey E. Hinton
4. Sumit Chopra

Papers from Young H. Oh's perspective

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

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

Their papers

• A^3: Accelerating Attention Mechanisms in Neural Networks with Approximation (2020) — 310 citations