Hana Ajakan

Artificial Intelligence · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 42 researchers and is trusted by 285 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it; #4,241 of 35,345 by trust here, #1,297 by citations
• Computer Vision and Pattern Recognition — 35 citations into it; #2,405 of 21,575 by trust here, #1,070 by citations
• Representation & Self-Supervised Learning — 31 citations into it; #766 of 3,145 by trust here, #163 by citations
• Signal Processing — 5 citations into it

Whom Hana Ajakan trusts overall

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

1. Shai Ben-David
2. Xavier Glorot
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. John Blitzer
6. Daniel Kifer
7. Alex Krizhevsky
8. Minmin Chen
9. Yann LeCun
10. Ilya Sutskever

Who trusts Hana Ajakan overall

1. Pedro H. O. Pinheiro
2. Mingsheng Long
3. Yongjun Hong
4. Konstantinos Bousmalis
5. Zhangjie Cao
6. Kuniaki Saito
7. Mohammad Rostami
8. Garrett Wilson
9. Anirudh Goyal
10. Yoshua Bengio

Papers from Hana Ajakan's perspective

Ordered by how strongly the researchers Hana Ajakan 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. GENERATIVE ADVERSARIAL NETS
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Domain-Adversarial Training of Neural Networks (2015) — 11,758 citations
• Domain-Adversarial Neural Networks (2014) — 351 citations