Kathleen A. Creel

2021

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

Whom Kathleen A. Creel trusts overall

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

1. G. Galanis

Who trusts Kathleen A. Creel overall

1. Angelina Wang
2. Dora Zhao

Papers from Kathleen A. Creel's perspective

Ordered by how strongly the researchers Kathleen A. Creel trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Natural Adversarial Examples
5. Adversarial Examples Are Not Bugs, They Are Features
6. Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• On the Opportunities and Risks of Foundation Models (2021) — 6,923 citations
• The Algorithmic Leviathan: Arbitrariness, Fairness, and Opportunity in Algorithmic Decision Making Systems (2021) — 104 citations