Andrew Szot

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 39 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 73 citations into it
• Artificial Intelligence — 70 citations into it
• Robotics & Control — 54 citations into it
• Reinforcement Learning — 48 citations into it
• Control and Systems Engineering — 40 citations into it
• Evaluation & Benchmarks — 15 citations into it
• Representation & Self-Supervised Learning — 13 citations into it
• Optimization & Training — 8 citations into it

Whom Andrew Szot trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Jimmy Ba
4. John Schulman
5. Yoshua Bengio
6. Alex Krizhevsky
7. Richard S. Sutton
8. Kaiming He
9. Sergey Ioffe
10. Yann LeCun

Who trusts Andrew Szot overall

1. Arjun Majumdar
2. Ayush Jain
3. Matt Deitke

Papers from Andrew Szot's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Habitat 2.0: Training Home Assistants to Rearrange their Habitat (2021) — 769 citations
• Generalization to New Actions in Reinforcement Learning (2020) — 40 citations