David Dao

2019

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom David Dao trusts overall

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

1. Lloyd S. Shapley
2. Kaiming He
3. Ian J. Goodfellow
4. Pang Wei Koh
5. James Hays
6. Nicholas Carlini
7. Sunil Arya
8. Christian Szegedy
9. Scott M. Lundberg
10. Geoffrey E. Hinton

Who trusts David Dao overall

1. Zheda Mai
2. Dongsub Shim

Papers from David Dao's perspective

Ordered by how strongly the researchers David Dao 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
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

• Towards Efficient Data Valuation Based on the Shapley Value (2019) — 573 citations
• Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms (2019) — 303 citations