David Quispe

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 141 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 114 citations into it
• Computer Vision and Pattern Recognition — 88 citations into it
• Meta & Continual Learning — 88 citations into it
• Representation & Self-Supervised Learning — 25 citations into it
• Optimization & Training — 9 citations into it
• Reinforcement Learning — 7 citations into it

Whom David Quispe trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Diederik P. Kingma
5. Yann LeCun
6. Yoshua Bengio
7. Max Welling
8. Ilya Sutskever
9. Marc'Aurelio Ranzato
10. Ross B. Girshick

Papers from David Quispe's perspective

Ordered by how strongly the researchers David Quispe 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Online Continual Learning in Image Classification: An Empirical Survey (2021) — 526 citations