Justin Sulik

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Developmental and Educational Psychology — 9 citations into it
• History and Philosophy of Science — 8 citations into it
• General Decision Sciences — 7 citations into it
• Cognitive Science & Psychology — 6 citations into it
• Experimental and Cognitive Psychology — 5 citations into it

Whom Justin Sulik trusts overall

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

1. Frank C. Keil
2. Leon Rozenblit
3. David M. Condon
4. Tania Lombrozo
5. Leib Litman
6. Edouard Grave
7. Deena Skolnick Weisberg
8. William Revelle
9. Mark Jung-Beeman
10. Jonathan Robinson

Who trusts Justin Sulik overall

1. Sarah Wiegreffe
2. Jack Hessel

Papers from Justin Sulik's perspective

Ordered by how strongly the researchers Justin Sulik 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Learning Multiple Layers of Features from Tiny Images
8. The international cognitive ability resource: Development and initial validation of a public-domain measure
9. ImageNet Large Scale Visual Recognition Challenge
10. The misunderstood limits of folk science: an illusion of explanatory depth

Their papers

• Explanations in the wild. (2021) — 16 citations