Ateret Anaby-Tavor

Artificial Intelligence · 2019

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

Subfields

• Artificial Intelligence — 28 citations into it; #34,047 of 35,345 by trust here, #17,412 by citations

Whom Ateret Anaby-Tavor trusts overall

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

1. Diederik P. Kingma
2. Alex Krizhevsky
3. Andrew Y. Ng
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Alec Radford
7. Ilya Sutskever
8. Jeffrey Pennington
9. Richard Socher
10. Jacob Devlin

Who trusts Ateret Anaby-Tavor overall

1. Timo Schick
2. Bohan Li
3. Or Honovich
4. Junnan Li
5. Dheeraj Mekala
6. Silei Xu
7. Biswesh Mohapatra
8. Kenton C. T. Lee
9. Michael A. Hedderich
10. Hinrich Schütze

Papers from Ateret Anaby-Tavor's perspective

Ordered by how strongly the researchers Ateret Anaby-Tavor 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. 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Do Not Have Enough Data? Deep Learning to the Rescue! (2019) — 410 citations