Dave F. Kleinschmidt

Artificial Intelligence · 2015

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

Subfields

• Artificial Intelligence — 25 citations into it; #33,376 of 35,345 by trust here, #29,412 by citations
• Cognitive Neuroscience — 24 citations into it
• Experimental and Cognitive Psychology — 21 citations into it; #8,670 of 9,731 by trust here, #7,727 by citations
• Developmental and Educational Psychology — 16 citations into it
• Language and Linguistics — 12 citations into it

Whom Dave F. Kleinschmidt trusts overall

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

1. John R. Anderson
2. Geoffrey E. Hinton
3. T. Griffiths
4. Jessica Maye
5. John Hale
6. Janet B. Pierrehumbert
7. Maryellen C. MacDonald
8. Radford M. Neal
9. James M. McQueen
10. Dennis Norris

Who trusts Dave F. Kleinschmidt overall

1. Holger Hopp
2. Gina R. Kuperberg

Papers from Dave F. Kleinschmidt's perspective

Ordered by how strongly the researchers Dave F. Kleinschmidt trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Robust speech perception: Recognize the familiar, generalize to the similar, and adapt to the novel (2015) — 572 citations