Tao Chen

Artificial Intelligence · with Bendersky · 2021

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 — 31 citations into it
• Representation & Self-Supervised Learning — 11 citations into it

Whom Tao Chen trusts overall

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

1. Oren Barkan
2. Robert Bamler
3. Jacob Devlin
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. William L. Hamilton
7. Dat Quoc Nguyen
8. Or Sharir
9. Yann LeCun
10. Diederik P. Kingma

Papers from Tao Chen's perspective

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

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

Their papers

• Dynamic Language Models for Continuously Evolving Content (2021) — 51 citations