Sayeri Lala

Generative Models · 2018

A researcher in the Science corpus: 1 paper; trusts 38 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Generative Models — 12 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Artificial Intelligence — 6 citations into it

Whom Sayeri Lala trusts overall

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

1. Sanjeev Arora
2. Luke Metz
3. Ilya O. Tolstikhin
4. Akash Srivastava
5. Yi Zhang
6. Geoffrey E. Hinton
7. Ali Borji
8. Yoshua Bengio
9. Alec Radford
10. Individualized Treat

Who trusts Sayeri Lala overall

1. Niharika Jain

Papers from Sayeri Lala's perspective

Ordered by how strongly the researchers Sayeri Lala 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. GENERATIVE ADVERSARIAL NETS
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Evaluation of Mode Collapse in Generative Adversarial Networks (2018)