Guy Hacohen

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 89 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it; #18,623 of 35,345 by trust here, #22,463 by citations
• Computer Vision and Pattern Recognition — 8 citations into it; #11,701 of 21,575 by trust here, #14,822 by citations
• Optimization & Training — 8 citations into it

Whom Guy Hacohen trusts overall

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

1. Alex Krizhevsky
2. Alex Graves
3. R. Caruana
4. Yoshua Bengio
5. Karen Simonyan
6. Leslie N. Smith
7. Christian Szegedy
8. Geoffrey E. Hinton
9. Kaiming He
10. Jia Deng

Who trusts Guy Hacohen overall

1. I-Chao Shen
2. Yajing Kong
3. Bing-Yu Chen
4. Liu Liu
5. Ji Zhang
6. Dacheng Tao
7. Dana Ruiter

Papers from Guy Hacohen's perspective

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

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

Their papers

• On The Power of Curriculum Learning in Training Deep Networks (2019) — 578 citations