Kai A. Krueger

Cognitive Neuroscience · 2009

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 12 citations into it
• Reinforcement Learning — 6 citations into it

Whom Kai A. Krueger trusts overall

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

1. Felix Alexander Gers
2. Masahiko Haruno
3. Andrew Barto
4. J. Urgen Schmidhuber
5. Geoffrey E. Hinton
6. D. M. Wolpert
7. Satinder Singh
8. Richard S. Sutton
9. Ben J. A. Kröse
10. Mitsuo Kawato

Who trusts Kai A. Krueger overall

1. Yoshua Bengio
2. Peter S. Dayan
3. Rémy Portelas
4. Mrinmaya Sachan
5. Eric P. Xing
6. German Ignacio Parisi
7. Caglar Gulcehre
8. Daphna Weinshall
9. Cédric Colas
10. David D. Cox

Papers from Kai A. Krueger's perspective

Ordered by how strongly the researchers Kai A. Krueger trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Flexible shaping: how learning in small steps helps. (2009) — 252 citations