A. Malossi

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 3 papers; trusts 92 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 42 citations into it
• Artificial Intelligence — 32 citations into it; #25,127 of 35,345 by trust here, #17,776 by citations
• Model Architectures — 13 citations into it
• Optimization & Training — 11 citations into it

Whom A. Malossi trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Karen Simonyan
4. X. Zhang
5. Geoffrey E. Hinton
6. Yann LeCun
7. Shaoqing Ren
8. Andrew Zisserman
9. Yoshua Bengio
10. Ross B. Girshick

Who trusts A. Malossi overall

1. Umberto Michieli
2. Pietro Zanuttigh
3. Xiaoliang Dai

Papers from A. Malossi's perspective

Ordered by how strongly the researchers A. Malossi 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• BAGAN: Data Augmentation with Balancing GAN (2018) — 357 citations
• TAPAS: Train-less Accuracy Predictor for Architecture Search (2018) — 78 citations
• Incremental Training of Deep Convolutional Neural Networks (2018) — 21 citations