Gad Cohen

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it; #17,778 of 35,345 by trust here, #22,463 by citations

Whom Gad Cohen trusts overall

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

1. Adam Coates
2. Yoshua Bengio
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Andrew Y. Ng
6. Ilya Sutskever
7. Lu Jiang
8. Alex Graves
9. Christian Szegedy
10. Yann LeCun

Who trusts Gad Cohen overall

1. Guy Hacohen
2. Yajing Kong
3. Xin Wang
4. Petru Soviany
5. Konstantina Lazaridou
6. Eduardo Mosqueira-Rey
7. Bowen Zhang

Papers from Gad Cohen's perspective

Ordered by how strongly the researchers Gad Cohen 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. ImageNet: A large-scale hierarchical image database
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks (2018) — 295 citations