Matthew Lyle Olson

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it; #34,185 of 35,345 by trust here, #18,586 by citations
• Computer Vision and Pattern Recognition — 22 citations into it
• Generative Models — 18 citations into it

Whom Matthew Lyle Olson trusts overall

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

1. Alec Radford
2. Diederik P. Kingma
3. Yoshua Bengio
4. Walter J. Scheirer
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Yann LeCun
8. Soumith Chintala
9. Ilya Sutskever
10. Ian J. Goodfellow

Who trusts Matthew Lyle Olson overall

1. Poojan Oza
2. Da-Wei Zhou
3. Chuanxing Geng
4. Guangyao Chen
5. Sepideh Esmaeilpour

Papers from Matthew Lyle Olson's perspective

Ordered by how strongly the researchers Matthew Lyle Olson 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. GENERATIVE ADVERSARIAL NETS
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Open Set Learning with Counterfactual Images (2018) — 537 citations
• Counterfactual States for Atari Agents via Generative Deep Learning (2019) — 28 citations
• ADAPTING PRETRAINED LANGUAGE MODELS FOR LONG DOCUMENT CLASSIFICATION (2019) — 3 citations