Clifford Brunk

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it; #19,381 of 35,345 by trust here, #15,004 by citations
• Natural Language Processing — 17 citations into it; #3,467 of 5,688 by trust here, #3,154 by citations
• Representation & Self-Supervised Learning — 5 citations into it

Whom Clifford Brunk trusts overall

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

1. Dzmitry Bahdanau
2. Yann LeCun
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Alex Graves
6. Ilya Sutskever
7. Andrew M. Dai
8. Ronan Collobert
9. John D. Lafferty
10. Quoc V. Le

Who trusts Clifford Brunk overall

1. André F. T. Martins
2. Vikas Yadav
3. Zhilin Yang
4. Changhan Wang
5. Marta Ruiz Costa-jussà
6. Tom Kenter
7. Andrew Chisholm
8. Kyunghyun Cho
9. Junqiu Wei
10. Bo Li

Papers from Clifford Brunk's perspective

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

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

Their papers

• Multilingual Language Processing From Bytes (2015) — 229 citations