Uday Kamath

Molecular Biology · 2018

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Molecular Biology — 15 citations into it; #12,970 of 17,773 by trust here, #16,150 by citations
• Artificial Intelligence — 13 citations into it
• Model Architectures — 6 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Uday Kamath trusts overall

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

1. Geoffrey E. Hinton
2. Kuo-Chen Chou
3. W. James Kent
4. J. Urgen Schmidhuber
5. Sepp Hochreiter
6. Yoshua Bengio
7. Dzmitry Bahdanau
8. L. V. D. van der Maaten
9. Alex Krizhevsky
10. Diederik P. Kingma

Who trusts Uday Kamath overall

1. John Muschelli
2. Payel Das

Papers from Uday Kamath's perspective

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

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Dropout: a simple way to prevent neural networks from overfitting
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• Deep learning improves antimicrobial peptide recognition (2018) — 497 citations