George A. Kantor

Artificial Intelligence · 2007–2019

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it
• Computer Vision and Pattern Recognition — 27 citations into it
• Reinforcement Learning — 21 citations into it
• Control and Systems Engineering — 15 citations into it
• Representation & Self-Supervised Learning — 7 citations into it
• Computational Theory and Mathematics — 6 citations into it

Whom George A. Kantor trusts overall

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

1. Richard S. Sutton
2. Geoffrey E. Hinton
3. Pulkit Agrawal
4. Alex Krizhevsky
5. Ross B. Girshick
6. Diederik P. Kingma
7. Yoshua Bengio
8. Jitendra Malik
9. Yann LeCun
10. E. Todorov

Who trusts George A. Kantor overall

1. Yu Zhang

Papers from George A. Kantor's perspective

Ordered by how strongly the researchers George A. Kantor 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. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Adaptive Auxiliary Task Weighting for Reinforcement Learning (2019) — 133 citations
• Principles of Robot Motion: Theory, Algorithms, and Implementation ERRATA!!!! 1 (2007) — 323 citations