Bernease Herman

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it; #15,526 of 35,345 by trust here, #18,586 by citations
• Safety, Robustness & Interpretability — 15 citations into it
• Sociology and Political Science — 12 citations into it
• Human-Computer Interaction — 8 citations into it

Whom Bernease Herman trusts overall

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

1. Finale Doshi-Velez
2. Malcolm R. Forster
3. Gabriel Goh
4. R. Caruana
5. Been Kim
6. Zachary Chase Lipton
7. Kaisa Miettinen
8. Philip Brey
9. Andrew Cotter
10. Yin Lou

Who trusts Bernease Herman overall

1. Alon Jacovi
2. Leilani H. Gilpin
3. Yoav Goldberg
4. Nadia Burkart
5. Kacper Sokol
6. David Bau
7. Fan Yang
8. Sina Mohseni
9. Eric Zelikman
10. Vitali Petsiuk

Papers from Bernease Herman's perspective

Ordered by how strongly the researchers Bernease Herman 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Learning Multiple Layers of Features from Tiny Images
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Attention is All you Need (Neural Information Processing Systems)
10. Dropout: a simple way to prevent neural networks from overfitting

Their papers

• The Promise and Peril of Human Evaluation for Model Interpretability (2017) — 155 citations
• Toward situated interventions for algorithmic equity: lessons from the field (2020) — 165 citations
• Synthetic Data for Social Good (2017) — 49 citations