Kathryn Elizabeth Merrick

Artificial Intelligence · 2007–2017

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 46 citations into it; #19,784 of 35,345 by trust here, #25,809 by citations
• Reinforcement Learning — 14 citations into it

Whom Kathryn Elizabeth Merrick trusts overall

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

1. J. Urgen Schmidhuber
2. D. Berlyne
3. Satinder Singh
4. Andrew Barto
5. Richard S. Sutton
6. Geoffrey E. Hinton
7. Alex Graves
8. Yoshua Bengio
9. Paul J. Werbos
10. Ronald J. Williams

Who trusts Kathryn Elizabeth Merrick overall

1. Adrien Baranes
2. Pierre-Yves Oudeyer
3. Indrė Žliobaitė
4. Gianluca Baldassarre
5. Clément Moulin-Frier

Papers from Kathryn Elizabeth Merrick's perspective

Ordered by how strongly the researchers Kathryn Elizabeth Merrick 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. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Et al
7. Human-level control through deep reinforcement learning
8. Learning Multiple Layers of Features from Tiny Images
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Multi-Task Deep Reinforcement Learning for Continuous Action Control (2017) — 68 citations
• Motivated Learning from Interesting Events: Adaptive, Multitask Learning Agents for Complex Environments (2009) — 37 citations
• Learning via Hilbert Space Embedding of Distributions (2007) — 64 citations