Sen Wang

Artificial Intelligence · with Baltrusaitis · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it; #24,675 of 35,345 by trust here, #19,439 by citations
• Natural Language Processing — 11 citations into it
• Experimental and Cognitive Psychology — 7 citations into it; #5,788 of 9,731 by trust here, #4,576 by citations

Whom Sen Wang trusts overall

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

1. Ronald J. Williams
2. Diederik P. Kingma
3. Richard Socher
4. Amir Zadeh
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Jimmy Ba
8. Louis-philippe Morency
9. Jeffrey Pennington
10. Alex Krizhevsky

Who trusts Sen Wang overall

1. Amir Zadeh
2. Ashima Yadav
3. Shan Li
4. Percy Liang
5. Navonil Majumder
6. Soujanya Poria

Papers from Sen Wang's perspective

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

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

Their papers

• Multimodal sentiment analysis with word-level fusion and reinforcement learning (2017) — 312 citations