Chase J. Gaudet

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it; #8,130 of 21,575 by trust here, #18,266 by citations
• Model Architectures — 9 citations into it
• Optimization & Training — 6 citations into it

Whom Chase J. Gaudet trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. François Chollet
4. Sergey Ioffe
5. Xavier Glorot
6. Yoshua Bengio
7. Geoffrey E. Hinton
8. Christian Szegedy
9. Rupesh Kumar Srivastava
10. X. Zhang

Who trusts Chase J. Gaudet overall

1. Titouan Parcollet
2. Yi Tay
3. Shuai Zhang
4. Tuan Le
5. Mohamed Morchid
6. Aston Zhang
7. Marco Bertolini
8. Mirco Ravanelli
9. Y. Zhang
10. C. Trabelsi

Papers from Chase J. Gaudet's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
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. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Deep Quaternion Networks (2017) — 196 citations