Mayur Joseph Bency

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it
• Artificial Intelligence — 9 citations into it
• Aerospace Engineering — 7 citations into it
• Control and Systems Engineering — 5 citations into it
• Reinforcement Learning — 5 citations into it

Whom Mayur Joseph Bency trusts overall

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

1. Steven M. LaValle
2. Stephen Grossberg
3. Sertac Karaman
4. Radu Bogdan Rusu
5. John C. Duchi
6. Emilio Frazzoli
7. Ioan Alexandru Sucan
8. Brian Ichter
9. Salah Rifai
10. J. Urgen Schmidhuber

Who trusts Mayur Joseph Bency overall

1. Ahmed Hussain Qureshi
2. Brian Hou

Papers from Mayur Joseph Bency's perspective

Ordered by how strongly the researchers Mayur Joseph Bency 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. Dropout: a simple way to prevent neural networks from overfitting
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Motion Planning Networks (2018) — 294 citations