Tao Chen

Artificial Intelligence · with Chang · 2013–2016

A researcher in the Science corpus: 3 papers; trusts 114 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it; #33,292 of 35,345 by trust here, #17,412 by citations
• Computer Vision and Pattern Recognition — 37 citations into it; #20,385 of 21,575 by trust here, #11,721 by citations
• Natural Language Processing — 18 citations into it
• Representation & Self-Supervised Learning — 18 citations into it
• Cognitive Neuroscience — 7 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Tao Chen trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Ilya Sutskever
4. Yann LeCun
5. Vinod Nair
6. Yoshua Bengio
7. Lorenzo Torresani
8. Ross B. Girshick
9. Kaiming He
10. L. Kennedy

Who trusts Tao Chen overall

1. Mohammad Soleymani
2. David García
3. Robert Rietveld

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. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Large-scale visual sentiment ontology and detectors using adjective noun pairs (2013) — 850 citations
• Multilingual Visual Sentiment Concept Matching (2016) — 15 citations
• DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks (2014) — 314 citations