Rusty John Lloyd Rodriguez Mina

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 7 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 — 24 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Efficiency & Compression — 7 citations into it

Whom Rusty John Lloyd Rodriguez Mina trusts overall

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

1. Alex Krizhevsky
2. Yann LeCun
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Marc'Aurelio Ranzato
6. Ilya Sutskever
7. Arun Mallya
8. Kaiming He
9. Diederik P. Kingma
10. Arslan Chaudhry

Papers from Rusty John Lloyd Rodriguez Mina's perspective

Ordered by how strongly the researchers Rusty John Lloyd Rodriguez Mina 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. Learning Multiple Layers of Features from Tiny Images
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Forget-free Continual Learning with Winning Subnetworks (2022) — 173 citations