Ralph Abboud

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it; #27,571 of 35,345 by trust here, #33,294 by citations

Whom Ralph Abboud trusts overall

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

1. Yair Weiss
2. Diederik P. Kingma
3. Jimmy Ba
4. Judea Pearl
5. Geoffrey E. Hinton
6. Daphne Koller
7. Yoshua Bengio
8. Kevin P. Murphy
9. Adnan Darwiche
10. Leslie G. Valiant

Who trusts Ralph Abboud overall

1. Peter Clark
2. Swarnadeep Saha
3. Oyvind Tafjord
4. Sayan Ghosh

Papers from Ralph Abboud's perspective

Ordered by how strongly the researchers Ralph Abboud 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (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 to Reason: Leveraging Neural Networks for Approximate DNF Counting (2019) — 32 citations