Adam Ibrahim

Optimization & Training · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 14 citations into it
• Artificial Intelligence — 9 citations into it
• Generative Models — 5 citations into it

Whom Adam Ibrahim trusts overall

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

1. Yurii E. Nesterov
2. Fuzhen Zhang
3. Individualized Treat
4. Balamurugan Palaniappan
5. Michele Benzi
6. Yossi Arjevani
7. Francis R. Bach
8. Tim Salimans
9. Simon Shaolei Du
10. Shai Shalev-Shwartz

Who trusts Adam Ibrahim overall

1. Noah Golowich
2. Sarath Pattathil

Papers from Adam Ibrahim's perspective

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

Their papers

• Linear Lower Bounds and Conditioning of Differentiable Games (2019) — 53 citations