Deheng Ye

Artificial Intelligence · 1 papers · 2017

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it; #34,253 of 35,345 by trust here, #28,481 by citations
• Natural Language Processing — 9 citations into it
• Model Architectures — 5 citations into it

Whom Deheng Ye trusts overall

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

1. Erik Cambria
2. Geoffrey E. Hinton
3. Yoon Kim
4. Soujanya Poria
5. Tomas Mikolov
6. Yoshua Bengio
7. Diederik P. Kingma
8. Vinod Nair
9. Richard Socher
10. Andrew M. Dai

Who trusts Deheng Ye overall

1. Tom Young
2. Ammar Mohammed
3. Devamanyu Hazarika

Papers from Deheng Ye's perspective

Ordered by how strongly the researchers Deheng Ye 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. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

Their papers

• Ensemble application of convolutional and recurrent neural networks for multi-label text categorization (2017) — 245 citations