Matthew J. Guzdial

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it; #13,213 of 21,575 by trust here, #17,757 by citations
• Artificial Intelligence — 19 citations into it; #21,237 of 35,345 by trust here, #27,551 by citations
• Reinforcement Learning — 6 citations into it

Whom Matthew J. Guzdial trusts overall

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

1. Julian Togelius
2. Marc'Aurelio Ranzato
3. Jens Kober
4. Volodymyr Mnih
5. Geoffrey E. Hinton
6. Junhyuk Oh
7. Yann LeCun
8. Ilya Sutskever
9. Yoshua Bengio
10. Alex Graves

Who trusts Matthew J. Guzdial overall

1. David R Ha
2. J. Urgen Schmidhuber
3. Lukasz Kaiser

Papers from Matthew J. Guzdial's perspective

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

Their papers

• Game Engine Learning from Video (2017) — 51 citations
• Procedural Content Generation via Machine Learning (PCGML) (2017) — 463 citations