Michael Diskin

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Graph Learning — 11 citations into it

Whom Michael Diskin trusts overall

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

1. Diederik P. Kingma
2. Jimmy Ba
3. Geoffrey E. Hinton
4. Kaiming He
5. Jure Leskovec
6. Yoshua Bengio
7. Alex Krizhevsky
8. Thomas Kipf
9. Max Welling
10. Yann LeCun

Papers from Michael Diskin's perspective

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

Their papers

• A critical look at the evaluation of GNNs under heterophily: are we really making progress? (2023) — 413 citations