Daniel W. Peterson

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Daniel W. Peterson trusts overall

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

1. Hal Daumé Iii
2. Dzmitry Bahdanau
3. Steven J. Nowlan
4. Saeed Masoudnia
5. Geoffrey E. Hinton
6. Cynthia Dwork
7. Yoshua Bengio
8. H. Brendan McMahan
9. Martín Abadi
10. Kyunghyun Cho

Who trusts Daniel W. Peterson overall

1. Michael Zhang
2. Xiaoxiao Li
3. Karan Sapra
4. Yufeng Gu

Papers from Daniel W. Peterson's perspective

Ordered by how strongly the researchers Daniel W. Peterson 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Private Federated Learning with Domain Adaptation (2019) — 91 citations