Daniel Jin hao Chia

Artificial Intelligence · 2010–2013

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it; #7,447 of 21,575 by trust here, #7,421 by citations
• Representation & Self-Supervised Learning — 11 citations into it
• Education — 9 citations into it; #10,922 of 11,309 by trust here, #6,846 by citations

Whom Daniel Jin hao Chia trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Krizhevsky
4. Yann LeCun
5. Dumitru Erhan
6. Honglak Lee
7. Ruslan Salakhutdinov
8. Diederik P. Kingma
9. Radford M. Neal
10. Marc'Aurelio Ranzato

Who trusts Daniel Jin hao Chia overall

1. Yichuan Tang
2. Quoc V. Le
3. Yoshua Bengio
4. Zhiguang Wang
5. Matthew D. Zeiler

Papers from Daniel Jin hao Chia's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Learning Multiple Layers of Features from Tiny Images
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. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Tiled convolutional neural networks (2010) — 352 citations
• Peer and self assessment in massive online classes (2013) — 465 citations