Denali Molitor

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it; #21,874 of 35,345 by trust here, #22,463 by citations
• Safety, Robustness & Interpretability — 8 citations into it

Whom Denali Molitor trusts overall

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

1. Jerome H. Friedman
2. Marco Tulio Ribeiro
3. Zachary Chase Lipton
4. Yi Lin
5. Jacob Bien
6. Adam E. Bloniarz
7. Sameer Singh
8. Himabindu Lakkaraju
9. Robert Tibshirani
10. S. J. Kazemitabar

Who trusts Denali Molitor overall

1. Nadia Burkart
2. Jinsung Yoon
3. Yu Zhang
4. Gregory Plumb
5. Francesco Bodria
6. Scott M. Lundberg

Papers from Denali Molitor's perspective

Ordered by how strongly the researchers Denali Molitor 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. Learning Multiple Layers of Features from Tiny Images
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Model Agnostic Supervised Local Explanations (2018) — 224 citations