Adam M. Larson

Cognitive Neuroscience · 2009–2010

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 17 citations into it; #6,662 of 10,852 by trust here, #10,026 by citations
• Computer Vision and Pattern Recognition — 16 citations into it; #15,312 of 21,575 by trust here, #20,271 by citations

Whom Adam M. Larson trusts overall

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

1. Aude Oliva
2. Antonio Torralba
3. Barbara Tversky
4. Guillaume A. Rousselet
5. K. Jellinger
6. tephen E. Palmer

Who trusts Adam M. Larson overall

1. Hans Strasburger
2. Ingo Rentschler
3. Martin Jüttner

Papers from Adam M. Larson's perspective

Ordered by how strongly the researchers Adam M. Larson 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Going deeper with convolutions
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• The natural/man-made distinction is made before basic-level distinctions in scene gist processing (2010) — 97 citations
• The contributions of central versus peripheral vision to scene gist recognition. (2009) — 320 citations