Gady Agam

Computer Vision and Pattern Recognition · 2006–2015

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it
• Representation & Self-Supervised Learning — 12 citations into it

Whom Gady Agam trusts overall

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

1. Yoshua Bengio

Who trusts Gady Agam overall

1. Yiheng Xu
2. Adam W. Harley

Papers from Gady Agam's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Extracting and composing robust features with denoising autoencoders
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Building a test collection for complex document information processing (2006) — 326 citations
• Learning Classifiers from Synthetic Data Using a Multichannel Autoencoder (2015) — 43 citations