Heriberto Cuayáhuitl

Artificial Intelligence · 2010–2018

A researcher in the Science corpus: 4 papers; trusts 67 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it; #10,603 of 35,345 by trust here, #23,077 by citations
• Natural Language Processing — 24 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Reinforcement Learning — 9 citations into it; #891 of 2,242 by trust here, #1,822 by citations
• Model Architectures — 7 citations into it

Whom Heriberto Cuayáhuitl trusts overall

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

1. Vinod Nair
2. Geoffrey E. Hinton
3. Andrew Barto
4. Volodymyr Mnih
5. Richard S. Sutton
6. Yoshua Bengio
7. Ilya Sutskever
8. Thomas G. Dietterich
9. Alex Graves
10. Oriol Vinyals

Who trusts Heriberto Cuayáhuitl overall

1. Zachary Chase Lipton
2. Maryam Fazel-Zarandi
3. Jianfeng Gao
4. Lihong Li
5. Xiujun Li
6. Shang-Wen Li
7. Kamyar Azizzadenesheli
8. Pararth Shah
9. Thomas Scialom
10. Mehdi Fatemi

Papers from Heriberto Cuayáhuitl's perspective

Ordered by how strongly the researchers Heriberto Cuayáhuitl 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. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• SimpleDS: A Simple Deep Reinforcement Learning Dialogue System (2016) — 89 citations
• Multimodal child-robot interaction: building social bonds (2013) — 319 citations
• Cut to the Chase: A Context Zoom-in Network for Reading Comprehension (2018) — 18 citations
• Hierarchical Reinforcement Learning for Adaptive Text Generation (2010) — 31 citations