Ali Lotfi-Rezaabad

Generative Models · 2019

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Generative Models — 18 citations into it
• Artificial Intelligence — 17 citations into it
• Computer Vision and Pattern Recognition — 17 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Ali Lotfi-Rezaabad trusts overall

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

1. Diederik P. Kingma
2. Danilo Jimenez Rezende
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Alex Krizhevsky
6. Ruslan Salakhutdinov
7. Yann LeCun
8. Ishmael Belghazi
9. Shakir Mohamed
10. Ilya Sutskever

Who trusts Ali Lotfi-Rezaabad overall

1. Sriram Vishwanath

Papers from Ali Lotfi-Rezaabad's perspective

Ordered by how strongly the researchers Ali Lotfi-Rezaabad 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Learning Representations by Maximizing Mutual Information in Variational Autoencoder (2019) — 5 citations
• Learning Representations by Maximizing Mutual Information in Variational Autoencoders (2019) — 42 citations