Divi Schmidt

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it
• Artificial Intelligence — 12 citations into it
• Generative Models — 5 citations into it

Whom Divi Schmidt trusts overall

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

1. Diederik P. Kingma
2. Kenneth O. Stanley
3. Chelsea Finn

Papers from Divi Schmidt's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. ImageNet: A large-scale hierarchical image database
5. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Long Short-Term Memory
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Learned Initializations for Optimizing Coordinate-Based Neural Representations (2020) — 336 citations