Daniel Ciao

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Natural Language Processing — 25 citations into it
• Reinforcement Learning — 5 citations into it

Whom Daniel Ciao trusts overall

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

1. Ronald J. Williams
2. Chen Liang
3. Danqing Huang
4. Shuming Shi
5. Geoffrey E. Hinton
6. Rik Koncel-Kedziorski
7. Yoshua Bengio
8. Kyunghyun Cho
9. Yan Wang
10. Quoc V. Le

Papers from Daniel Ciao's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. ImageNet classification with deep convolutional neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
7. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Learning by Fixing: Solving Math Word Problems with Weak Supervision (2020) — 65 citations