David Rovick Arrojo

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it
• Artificial Intelligence — 31 citations into it; #34,000 of 35,345 by trust here, #12,761 by citations
• Reinforcement Learning — 24 citations into it
• Control and Systems Engineering — 21 citations into it; #7,879 of 8,257 by trust here, #1,475 by citations
• Representation & Self-Supervised Learning — 7 citations into it

Whom David Rovick Arrojo trusts overall

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

1. Stephen James
2. Pieter Abbeel
3. Chelsea Finn
4. Geoffrey E. Hinton
5. Oriol Vinyals
6. Alex Krizhevsky
7. John Schulman
8. Sergey Levine
9. Diederik P. Kingma
10. Ilya Sutskever

Who trusts David Rovick Arrojo overall

1. Dieter Fox

Papers from David Rovick Arrojo's perspective

Ordered by how strongly the researchers David Rovick Arrojo 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. ImageNet Large Scale Visual Recognition Challenge
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Human-level control through deep reinforcement learning
10. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Their papers

• RLBench: The Robot Learning Benchmark & Learning Environment (2019) — 985 citations