Travis Dick

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Privacy & Security — 7 citations into it

Whom Travis Dick trusts overall

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

1. Cynthia Dwork
2. Frank McSherry
3. Kobbi Nissim
4. Adam D. Smith
5. Yann LeCun
6. Avrim Blum
7. Raef Bassily
8. Aaron Roth
9. Yining Wang
10. Dan Feldman

Who trusts Travis Dick overall

1. Yatharth Dubey
2. Gautam Kamath
3. Alisa Chang

Papers from Travis Dick's perspective

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

1. Gradient-based learning applied to document recognition
2. Going deeper with convolutions
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Calibrating Noise to Sensitivity in Private Data Analysis
6. Learning Multiple Layers of Features from Tiny Images
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Differentially private recommender systems: building privacy into the net
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Differentially Private Clustering in High-Dimensional Euclidean Spaces (2017) — 92 citations