Michael Desmond

Representation & Self-Supervised Learning · 2020

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

Subfields

• Representation & Self-Supervised Learning — 6 citations into it

Whom Michael Desmond trusts overall

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

1. Dong-Hyun Lee
2. Olivier Chapelle
3. Jesper E. van Engelen
4. Meng Fang
5. Eric Arazo
6. Alexander Zien
7. Holger H. Hoos
8. Daniel Matthew Cer
9. Burr Settles
10. Yunfeng Zhang

Papers from Michael Desmond's perspective

Ordered by how strongly the researchers Michael Desmond 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. Learning Multiple Layers of Features from Tiny Images
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Pseudo-Label : The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Dropout: a simple way to prevent neural networks from overfitting

Their papers

• Semi-Automated Data Labeling (2020) — 47 citations