J. Tan

Artificial Intelligence · with Hoque · 2022

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Natural Language Processing — 9 citations into it

Whom J. Tan trusts overall

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

1. Kaiming He
2. Kushal Kafle
3. Geoffrey E. Hinton
4. Jimmy Ba
5. Ross B. Girshick
6. Shaoqing Ren
7. Alex Krizhevsky
8. Yoshua Bengio
9. Diederik P. Kingma
10. Ilya Sutskever

Papers from J. Tan's perspective

Ordered by how strongly the researchers J. Tan 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. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Microsoft COCO: Common Objects in Context
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning (2022) — 1,654 citations