Lisa Dunlap

Artificial Intelligence · 2018–2024

A researcher in the Science corpus: 3 papers; trusts 172 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 92 citations into it
• Computer Vision and Pattern Recognition — 67 citations into it
• Model Architectures — 25 citations into it
• Representation & Self-Supervised Learning — 16 citations into it

Whom Lisa Dunlap trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Yoshua Bengio
5. Karen Simonyan
6. Yann LeCun
7. Ross B. Girshick
8. Diederik P. Kingma
9. Ilya Sutskever
10. Andrew Zisserman

Who trusts Lisa Dunlap overall

1. Vinícius G. Costa

Papers from Lisa Dunlap's perspective

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

Their papers

• From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline (2024) — 481 citations
• NBDT: Neural-Backed Decision Trees (2020) — 125 citations
• Deep Mixture of Experts via Shallow Embedding (2018) — 154 citations