Zohar Aizenbud

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it; #26,863 of 35,345 by trust here, #21,878 by citations
• Natural Language Processing — 20 citations into it; #4,895 of 5,688 by trust here, #4,183 by citations
• Computer Vision and Pattern Recognition — 18 citations into it
• Reinforcement Learning — 13 citations into it

Whom Zohar Aizenbud trusts overall

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

1. Ronald J. Williams
2. Richard S. Sutton
3. Franz Joseph Och
4. Geoffrey E. Hinton
5. Diederik P. Kingma
6. Yoshua Bengio
7. Marc'Aurelio Ranzato
8. Graham Neubig
9. Ilya Sutskever
10. Alex Krizhevsky

Who trusts Zohar Aizenbud overall

1. Hanze Dong
2. Wei Xiong
3. Samuel Kiegeland

Papers from Zohar Aizenbud's perspective

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

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

Their papers

• On the Weaknesses of Reinforcement Learning for Neural Machine Translation (2019) — 127 citations