Jung-Hun Park

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 Jung-Hun Park trusts

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

1. Yoshua Bengio (in Artificial Intelligence)
2. Jason Aaron Edward Weston (in Natural Language Processing)

Papers from Jung-Hun Park's perspective

Ordered by how strongly the researchers Jung-Hun Park 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
4. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
5. GloVe: Global Vectors for Word Representation
6. End-To-End Memory Networks
7. Neural Turing Machines
8. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
9. Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks
10. Recurrent Models of Visual Attention

Their papers

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