Taesun Whang

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 181 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it
• Computer Vision and Pattern Recognition — 38 citations into it
• Natural Language Processing — 26 citations into it
• Multimodal Learning — 24 citations into it
• Evaluation & Benchmarks — 8 citations into it

Whom Taesun Whang trusts overall

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

1. Diederik P. Kingma
2. Ellen M. Voorhees
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Kaiming He
6. Alex Krizhevsky
7. Ilya Sutskever
8. Yann LeCun
9. Jimmy Ba
10. Ross B. Girshick

Who trusts Taesun Whang overall

1. Yue Wang
2. Leyang Cui

Papers from Taesun Whang's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Multi-View Attention Networks for Visual Dialog (2020) — 25 citations
• Domain Adaptive Training BERT for Response Selection (2019) — 26 citations